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Albert Manifold’s behaviour and use of personal devices cited as factors in his removal over conduct and governance concernsView the full article

Hands-on approach was viewed as aggressive by several colleagues at UK oil majorView the full article

Foreign Office announces measures against Huobi among several entities it says helped Russia evade economic pressureView the full article

Last weekend, when Puck announced that the sustainable fashion startup Everlane had been acquired by the Chinese ultra fast fashion retailer Shein, it sent shockwaves throughout the fashion world. Michael Preysman, who founded Everlane in 2011, was just as shocked. “I found out the same time as everyone else,” he said in a LinkedIn post a week ago. “I’m not involved with the company anymore, and like many, am still digesting the news.” Well, Preysman is done digesting. And it seems that he’s ready to do something about it. Preysman just announced stillradical.com, a new venture that we know little about other than the bare bones website it launched with. The website lays out the new vision with brevity: “I started Everlane in 2011. Last week, the current management team sold it to Shein. So we’re starting over. Same principles, but a new take. And this time: no venture capital, no private equity.” The site says you can learn more by signing up for a waitlist. (Preysman did not respond to a request for comment.) Preysman launched Everlane when he was in his mid-20s, after starting his career in finance. His vision was to sell high quality products directly to customers online, without the markup of middlemen like department stores. This helped kickstart the direct-to-consumer movement that dominated the 2010s, producing brands like Away, Warby Parker, Allbirds, and Glossier. To fuel its growth, Everlane took an undisclosed amount of venture capital. A few years in, Preysman turned his attention to the human and environmental impact of the fashion industry. Everlane promised to eradicate virgin plastic from its supply chain, and showed customers inside the factories they used, to highlight how it was paying attention to the working conditions of laborers. All of this was good for business. By 2016, Everlane was valued at $250 million, although it was unclear whether it had ever become profitable. In recent years, its growth slowed. It went through two rounds of layoffs, once during the pandemic and then again in 2023. L. Catterton—the venture capital wing of the luxury conglomerate LVMH—bought a majority stake in Everlane in 2020. Shortly after, Preysman left the company to launch a new supplements brand called Magna in 2024. For many, Everlane’s acquisition by Shein was a disappointing final chapter for a company that stood for optimism and ethics. Clearly, Preysman felt the same way about it. This new business suggests that he hasn’t given up on the idea of sustainable fashion. However, he’s realized that venture capital is not the right tool for launching an apparel business. It will be fascinating to see what lessons Preysman has taken from the rise and fall of Everlane, and how we plans to build his new company differently. View the full article

Victory of flawed Senate candidate Ken Paxton could cement the president’s hold on the party View the full article

Current CEO Rick Thornberry is retiring as Radian shifts to a multi-line business, with former Mr. Cooper President Mike Weinbach taking over on Aug. 13. View the full article

Unlike some of his industry peers, OpenAI CEO Sam Altman has been surprisingly skeptical of the notion that AI is displacing workers. In an interview a few months ago, he argued that AI was a convenient scapegoat for some companies, echoing what some economists and experts have expressed about the narrative that AI is driving layoffs across corporate America. “I don’t know what the exact percentage is, but there’s some AI washing where people are blaming AI for layoffs that they would otherwise do. And then there’s some real displacement by AI of different kinds of jobs,” Altman said at the time. In an interview this week, however, Altman made a bolder statement, suggesting there was little evidence AI would do extensive damage to white-collar jobs, despite predictions to the contrary. “I’m delighted to ⁠be wrong about this,” he said on Tuesday during a virtual appearance at the Commonwealth Bank of Australia conference, according to a Reuters report. “I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than ​has actually happened.” “My intuitions were just off,” he added. “People are like, ‘oh, you could have saved the world a lot of fear mongering and a lot of doom and gloom.’ But at the time I was like, ‘I see this is a real risk. We should probably ​talk about it.’” Part of the reason for this realization, Altman claims, is that he underestimated the human element that so many jobs require. He had tried using AI to field emails and Slack chats, but increasingly found himself responding to those messages himself—which apparently led him to believe the impact on jobs will be different than he had originally anticipated. “I don’t think we’re going to have the kind ​of jobs apocalypse that some of the companies in our space advocate or talk about,” he said. While companies have repeatedly cited AI and automation when conducting layoffs, the labor market does not yet reflect a mass reduction in jobs across the workforce. On top of that, even as tech leaders remain bullish about the promise of AI, there are signs that all their spending may not yield the results they are expecting. In another recent interview, an Uber executive cast doubt on the idea that the company’s AI investments had meaningfully boosted productivity, despite blowing through its 2026 AI budget in just a few months. On the Rapid Response podcast, Uber president Andrew Macdonald claimed the growing use of Claude Code tokens had not necessarily resulted in better features for consumers. “That link is not there yet, right? I think maybe implicitly there is more that is getting shipped, but it’s very hard to draw a line between one of those stats and, ‘Okay, now we’re actually producing 25% more useful consumer features,’” he said. Still, that awareness may not help preserve jobs, especially as companies demand greater productivity from their workforce. Whether or not AI can replace workers, tech employers continue making cuts to headcount to offset their sweeping AI investments. Some workers are already feeling the effects of widespread AI adoption, from Amazon warehouse workers to people who hold administrative jobs—and despite the concerns about white-collar employees, researchers have found there could be significant downstream effects for workers without college degrees. For all his talk, even Altman has noted that there’s a chance the fallout from AI could be worse than it seems right now—and that it could eventually come for his job, too. View the full article

PR and SEO used to be separate disciplines. Now you can’t afford to keep them siloed. Google and LLMs both rely on third-party signals — backlinks, brand mentions, expert commentary, and coverage in trusted publications — to decide which brands deserve visibility. PR and SEO both generate those signals, but most teams still operate independently. When they do collaborate, it’s usually to treat PR as a link-building opportunity rather than a real partnership. This leaves authority on the table. But the real gains happen when these teams operate as one. In this article, you’ll learn a five-step playbook for turning PR and SEO into an always-on authority engine. I also spoke with two digital PR experts about how they’re partnering with SEO to build more authority across search, media, and LLMs. Free resource: Download our PR + SEO Outreach Planner to align pitching, prioritize outlets, and track results. It includes a pitch ownership guide for deciding who pitches what and when. Step 1: Align PR and SEO Research An always-on PR and SEO partnership starts with shared intelligence. Without it, you get predictable gaps: Content that ranks but doesn’t earn media mentions or AI citations Coverage that builds awareness but doesn’t improve search visibility AI citations and media coverage that go to competitors because they published first Use PR Insights to Identify Emerging Content Opportunities The biggest authority wins don’t come from PR and SEO staying in their own lanes. They come from each team sharing insights that shape angles, assets, and placements. For PR, this could be: A sudden spike in journalist inquiries or media coverage around a topic A new phrase or framing gaining traction among industry voices Recurring themes across newsletters, conferences, or trade publications Britt Klontz, digital PR consultant and founder of Vada Communications, says the strongest results come when PR and SEO combine their strengths at the ideation stage: The best collaborations with SEO happen when PR is brought in early, before an asset or campaign is completed. We used to ask, ‘Can PR promote this?’ Now we ask, ‘How do we build something together that will help with search, media, and brand visibility from the start?’ To facilitate this partnership, build a regular channel for PR to flag insights to SEO. This could be a shared Slack channel, spreadsheet, or standing agenda item. For example, when I was the editor of the Hootsuite Blog, our PR team notified us that LinkedIn was shutting down its “Elevate” feature and suggested we should write a blog post about it. No search volume existed yet, but we created the content anyway. The post started gaining backlinks and driving a surprising amount of demo requests almost immediately. Months later, the search volume appeared. And our post ranked #1. Today, it still ranks near the top of the SERPs for terms like “LinkedIn elevate alternatives.” AI tools like Claude also use the blog post as a top source for relevant prompts: That’s the power of PR and SEO sharing information and acting on it quickly. Rankings, backlinks, and AI citations that would have gone to a competitor built lasting authority for Hootsuite instead. Use SEO Insights to Inform Content Topics SEO has signals PR can act on too, including which topics are heating up and editorial gaps. When conducting keyword research for PR, SEO should flag two things: Informational gaps: Questions audiences are actively searching for, but no one is answering well yet Trending terms in your niche: Journalists are likely already interested, which gives PR a clear opening That’s why Rola Tfaili, communications manager for North America at Xero, brings SEO into her process from the start: I want SEO insights — like emerging search trends, keyword gaps, and audience intent — to directly shape our PR narratives and campaign angles from the outset, before content is developed. Here’s how you can do the same. Not all keyword tools show you trends over time, so I’ll use Semrush for this step. Note: If you don’t have a subscription, sign up for a free trial of Semrush One, which includes Semrush Pro and the AI Visibility Toolkit. Search any term in the Keyword Magic Tool and look at the “SERP Features” column. Two features in particular signal strong PR potential: News and Top Stories: Google surfaces these for time-sensitive or trending queries — sometimes within 24–72 hours of a news event. If your topic triggers these features, journalists are actively covering it, and PR has an immediate opening. Discussions and Forums: This signals that audiences are seeking advice or firsthand experience on the topic, which is often a sign of unmet demand and/or increasing interest Next, use the Keyword Overview tool’s 12-month trend graph to confirm whether a topic is gaining momentum, seasonal, or fading. A consistently rising trend is your strongest signal — media interest is likely to be building as well. Pro tip: Don’t overlook existing topics. A trending term you already own is a valuable opportunity. PR can pitch it to journalists as a timely angle, repurpose it into new formats, or use it as a hook for a broader campaign. For LLMs, you need a tool like Semrush’s AI Visibility Toolkit that shows actual prompt data, not just search queries. This gives you insight into the exact prompts your competitors are earning AI visibility for, but you aren’t. Those gaps are worth flagging to PR, especially if competitors are being cited as authorities on topics your brand should own. Use your shared doc or Slack channel to provide real-time insights, so neither team works from stale data. Topics that show up in both PR’s emerging trends and SEO’s keyword data are your highest-priority opportunities. Step 2: Collaborate on AI-Ready Assets An AI-ready asset is built to be found, cited, and trusted by search engines and AI models (while being valuable to humans). This is also called answer engine optimization (AEO), which is the process of creating and structuring content for AI systems. It can include optimizations like: Headings that mirror how people search Front-loaded key stats, details, and definitions Sections that focus on one core idea Bullet lists and tables that make key information more extractable When you combine PR’s distribution power with SEO’s technical expertise, you get assets that earn visibility across search, media, and LLMs. Original Research and Reports Original data has long helped brands earn backlinks — now, it helps you build AI visibility too. A collaborative workflow for this asset would look something like this: SEO identifies the topic based on search demand and content gaps, and PR validates whether the angle is pitchable and shapes the findings into quotable hooks. Together, they design the study so it’s structured for citations, with a clear methodology, front-loaded stats, and branded visuals that are easy to share. SEO content teams might be tempted to create this type of asset on their own, then ask PR to pitch it. But Britt says if PR is involved earlier, they can help answer questions like: Is this a real story? Is there a sharper edge here? Do we need more reliable data? Is there a better hook that fits the time? Would it be more interesting if an expert gave their opinion? That kind of information can make an asset more useful and impactful. Pro tip: Give your asset a unique, branded name — like ‘The State of X Report’ or ‘The X Index.’ If journalists mention it without linking, people can still search for it and find you. Don’t limit original data to a blog post. High-value assets should have their own crawlable landing page — no gates, no PDF-only content. Use the same URL each year for recurring assets to build authority. Then, link these pages to related content on your site (and vice versa). This way, search engines and AI see your topical coverage as connected, not random. Free Tools Free tools that solve a specific pain point earn AI visibility, backlinks, and return visits long after launch. This includes calculators, templates, checklists, and interactive assets. The gap here is usually distribution. SEO can build and optimize tools, but without PR’s contacts and timing, even the best ones can be limited by organic performance. A strong hook helps, too. Britt says an asset is easier to promote when it “blends search insights with something more personal, like proprietary data, a strong point of view, or a story angle that is relevant right now.” The payoff is an asset that is reported on and shared widely across channels. NerdWallet’s tariff calculator is a good example of this in action. It launched as tariffs dominated headlines — and earned media coverage because of it. Podcasts A branded podcast can generate tons of coverage, review articles, and inclusion in “best podcasts on X topic” listicles. Getting your experts on other podcasts is also valuable for building authority and visibility. Third-party mentions get your brand and subject matter experts into the conversation, both in search engines and LLMs. PR typically drives guest placements, but SEO can identify which shows already rank or get cited by AI for your target topics, so you’re pitching the ones that build the most authority. Press Releases When published on your site and optimized properly, press releases can become standalone, crawlable assets that increase your AI mentions. In fact, press release citations in LLMs grew 5x between July and December 2025, according to Muck Rack. To get the most out of press releases, both teams need to contribute. Rola has seen the benefit of this collaboration firsthand: For key assets like press releases, we integrate SEO insights early — before content is developed — and include SEO in the review process to ensure we’re maximizing visibility. PR shapes the story and the hook. SEO makes sure the on-site version is crawlable, optimized, backed by citable data, and linked to related assets. So the press release doesn’t just generate buzz, it feeds your broader authority. Explainer Content Explainers are easy-to-digest resources (usually articles or videos) that simplify complex topics or highlight key info about your brand. They help journalists and LLMs write accurately and consistently about you — especially if your category is niche or complex. SEO can use keyword and prompt data to identify the questions your explainers should answer and structure them so AI can parse and cite individual sections. PR knows which questions journalists and analysts ask most often — and where the current gaps are in how your brand gets described. The format can vary: One-page proof point packet with key stats and third-party validation that PR sends alongside pitches YouTube video with citable brand facts or product details Dedicated pressroom that organizes assets by category with founder bios and press releases (Bonus points for all three.) Step 3: Co-Build Your Third-Party Presence Brands are 6.5x more likely to appear in AI answers through third-party signals than their own content, according to AirOps. This means PR and SEO have a real opportunity to work together to build more visibility across search and LLMs. Rola sees this as an important shift for PR teams: When we align closely with SEO to ensure our key messages land in credible, third-party outlets, we’re not just generating press; we’re helping position the brand to appear in AI search platforms. That intersection between PR, SEO, and now AEO is where I think we’ll see the most measurable impact moving forward. Expert Commentary When your experts are quoted consistently — on your own site, social media, and in trusted publications — Google and LLMs begin to associate them (and your brand) with that topic. The biggest coordination gap is knowing where to focus. SEO has the data on which topics have the most search and AI demand — and which publications are already earning citations for them. PR knows which journalists and outlets are most receptive and what angles resonate. Together, they can pinpoint the exact publications and topics where a placement will improve results for both teams. Then shape the commentary accordingly. Concrete, data-backed quotes with a specific stat or firsthand insight are far more citable than generic thought leadership — especially for AI, which favors specificity it can extract and serve directly in an answer. Getting your experts quoted online is a strong start — but it works best when paired with the other authority-building sources below. Further reading: 5 Best HARO Alternatives (Expert Review) Review Sites and Forums Review sites like G2, Yelp, Google Reviews, and Trustpilot are trusted by AI for the same reason they’re trusted by humans. They aggregate specific, unbiased information about products from verified users. And AI frequently cites them for product recommendations: Reviews across multiple sites also strengthen your brand’s authority signals. It gives AI detailed evidence of what category you belong in, your core features and pricing, and why you should be trusted. Forums work similarly — AI pulls from Reddit threads and Quora answers when users ask for honest recommendations or firsthand experience. Brands that show up authentically and positively in these conversations earn another layer of trust signals. You can’t control these mentions, but consistently showing up as a helpful, knowledgeable voice in your category’s communities builds the kind of organic mentions AI models trust. PR and SEO should jointly identify which review sites and forums matter most in your industry. Keep review profiles current and monitor relevant forum conversations for opportunities to contribute genuinely. Further reading: How to Build a Brand Subreddit: Full Setup Guide (+ Examples) Wikipedia A Wikipedia page gives Google and AI a neutral, third-party source of facts about your brand. It also helps establish your brand as a recognized entity in Google’s Knowledge Graph. It’s a common source for Google’s Knowledge Graph, and it’s baked into LLM training data. But to qualify for a page, you need to meet Wikipedia’s Notability Criteria. This includes having significant coverage in reliable, independent sources that address your brand directly and in detail. PR can help you earn this kind of coverage by pitching stories about your company to journalists in reputable publications. Once you have a page, you won’t be allowed to edit it directly, as Wikipedia’s rules prevent self-promotion. But SEO can monitor the page for inaccuracies and flag corrections, and PR can handle reputation monitoring to keep the narrative positive. Pro tip: Use the same brand name, category language, and positioning everywhere: across your website, social profiles, press releases, and review site listings. The more consistent your language, the more confidently AI and Google can categorize and recommend your brand. Step 4: Unify Your Outreach Strategy If PR and SEO know what — and to whom — each team is pitching, you avoid mixed messages and misaligned timing. And your odds of a yes go up. It doesn’t take much to fix. Just a shared source list, a strategy to split pitching, and a regular check-in to stay aligned. Pro tip: Download our PR + SEO Outreach Planner to put the tips in this section into action. Build a Shared Target Source List SEO has a list of high-authority domains that show up in organic rankings and AI citations. PR has a list of journalists, analysts, creators, and publications that influence their category. Merging these gives you a single view of every third-party source worth going after. Build it as a shared spreadsheet with three columns: PR Sources SEO Sources AI Citation Sources Then prioritize. Any source that appears on more than one list goes to the top. It has double (or triple) the potential to impact your authority and visibility. Pro tip: Update your list quarterly as sources can shift fast — especially in LLMs. Create a shared pitch doc to go with your source list. Use PR’s standard pitch brief, or if one doesn’t exist, create one. Include headline stats, agreed-upon positioning language, and target URLs. Whoever sends the final pitch customizes it to their contact. But using the shared pitch doc as a starting point ensures your basic story stays consistent. Split Pitching by Strengths Many high-priority pitches will need both PR and SEO to weigh in. But not all. Divide the work of pitching based on what each team does best. Generally, that means structured, technical placements for SEO and editorial, relationship-based placements for PR. Your company may want to organize these tasks differently depending on industry or org structure, but here’s what I suggest: SEO PR Pitch for inclusion in industry listicles Pitch journalists and editors on newsworthy content Fix unlinked brand mentions Offer expert commentary to reporters Reach out to sites with broken or outdated links Submit to industry awards Identify warm contacts from referring domains Brief analysts at firms like Gartner and Forrester Monitor AI citations for new outreach targets Explore sponsored placements in newsletters, podcasts, and trade publications Plan Pitching in Advance Meet quarterly or monthly — whatever works for your schedules — to decide who is going to pitch what, to which outlets, and when. This will help prioritize high-impact efforts and reduce accidental duplication of work. Map outlets to objectives and target KPIs to determine ownership. Every time you meet, review results from the last period. Prioritize more of what’s working and cut what isn’t. Further reading: Journalist Outreach: 9 Steps to Earn High-Authority Links Step 5: Report on PR and SEO Performance Together PR and SEO usually track different metrics, like mentions and outlet quality vs. rankings and organic traffic. The fix isn’t merging into a single dashboard. It’s building a shared lens for evaluating what each asset actually did, no matter which team owns it. Britt recommends that both teams agree on a shared set of questions to evaluate each asset: Did it get any attention? Did it get picked up by reliable sources? Did it help with search goals? Did it contribute to conversions? Did it have results that lasted longer than a short-term spike? As Britt puts it: The best shared work usually helps with more than one thing at a time, like visibility, authority, discoverability, and brand credibility. Visibility: Did We Show Up in the Right Places? Getting in front of your audience more often — and in the places they care about — is one of the main advantages of having PR and SEO collaborate. Track these metrics to see if it’s working: Quality mentions in relevant outlets: Not raw mention count. A placement in a niche newsletter your buyers trust outweighs 10 mentions on unrelated blogs. PR likely already has a media monitoring tool for this. Recurring format mentions: Listicles, comparison posts, and “best of” roundups will continue to earn backlinks and AI citations over time. They also show how your brand is positioned relative to competitors. Track these separately in your media monitoring tool or a shared spreadsheet. Share of voice in category coverage: Report on the percentage of category coverage that mentions your brand vs. competitors. Free tools like Google Alerts and Mention’s share of voice calculator give you a general sense of how you’re doing. But paid media monitoring tools let you dig into specific platforms, outlet types, and topics. For AI specifically, track how often your brand appears in AI answers for queries you care about. You can manually check your top questions and prompts in LLMs to see if your brand is mentioned, but this gets tedious at scale. The AI Visibility Toolkit is helpful here. It automates tracking so you’re not manually checking every LLM for every query. You get an overall AI Visibility score for your brand, which measures how often you’re mentioned in AI systems compared to other brands. The Competitor Research tool shows how your AI visibility stacks up against competitors, which is one of the clearest ways to show leadership whether you’re gaining or losing ground. It also tracks your Share of Voice across AI platforms, a single metric that reflects the combined impact of your PR and SEO efforts. Authority: Did We Become More Credible? This is where you show if your brand is becoming a trusted source online. Start by tracking new referring domains. New backlinks matter too, but new domains are more meaningful because they represent more unique sources vouching for your brand. Reporting on your website authority is also helpful. This is a third-party estimate of the level of trust search engines are likely to assign to your domain, based on your backlink profile and other signals. Different SEO tools calculate it differently (and call it different things). So, focus less on the score and more on the direction it moves over time. Note: Meaningful changes to your Authority Score can take 3-6 months to appear. The AI Visibility Toolkit tracks your mentions, citations, and cited pages over time, and tells you percentage increases and decreases. When your authority score and AI mentions are both climbing, you’ll know your PR and SEO work is paying off. Expert commentary placements, direct requests from journalists, and new journalist relationships are also worth tracking. Increases in any of those areas are a strong signal that you’re gaining trust. Google Alerts can catch mentions to help you track expert commentary placements, but a tool like Semrush’s Brand Monitoring gives you a more comprehensive picture. It lets you track any query (SME names or other keywords) and provides: Total mentions Estimated reach Traffic Mentions with backlinks Sources (Social media, news, and blogs) Demand: Did It Help People Take the Next Step? Did improving visibility and authority have any impact on your business goals and revenue? PR and SEO sometimes sit at the top of the funnel, so this can be tricky to answer. Start with these metrics to prove demand: Referral traffic Assisted conversions Branded search lift Track your referral traffic to show the number of visitors who visit your site directly from media coverage. Even if numbers are low, they’ll tell you which topics make your audience want to know more about you. Then you can publish more on those in the future. Tracking assisted conversions shows you conversions where organic search or referral traffic appeared somewhere in the buyer’s journey, but not necessarily as the last click. PR and SEO content may not convert on the first visit, but it still influences the buyer’s journey. This metric captures that concept. Find this in GA4 under Advertising > Key event attribution paths, and switch to “Source/Medium” to see which specific outlets have the most impact. As AI search has decreased click-through rates, branded search queries have become one of the clearest signals that your PR and SEO efforts are building real awareness. It’s a metric Britt prioritizes for exactly this reason: I track branded search lift because it’s a sign that coverage or visibility made someone curious enough to go look up the company by name. That matters to me because not every asset will result in direct clicks. The metric is also important to Rola: Branded search lift connects awareness and intent, showing how media exposure actually drives people to seek out your brand. Google Search Console tells you how often people search for your brand by name and how many of those searches result in a click to your site. Look for spikes around major coverage dates to directly tie increases to your PR and SEO efforts. Turn PR and SEO Into an Always-On Authority Engine The brands earning the most trust right now aren’t doing it with PR or SEO in siloes. They’re showing up consistently across media, blogs, review sites, search engines, and AI because all of those channels feed the same authority signals. That takes more than a “quick sync” before campaigns. It takes an always-on partnership. You don’t need to overhaul everything at once. Start small: Co-create one high-impact asset (and keep AEO best practices in mind) Merge your source lists Plan 3 pitches using our PR and SEO Joint Outreach Strategy Template When you’re ready to go deeper on how to optimize your brand’s presence in AI, check out our complete guide to AI optimization. The post PR and SEO: How to Build More Authority Together (5 Steps) appeared first on Backlinko. View the full article

Tehran vows to ‘not leave any mischief unanswered’ after the attacks View the full article

Most enterprise generative AI investments have yet to deliver the value companies envisioned, and every day, more leaders are recognizing that people lie at the heart of the struggle. In this year’s AI & Data Leadership Executive Benchmark Survey, 93% of executives leading AI and data efforts identified human issues around culture and change management as the primary obstacle to adoption. McKinsey Global Managing Partner Bob Sternfels put it plainly on HBR’s IdeaCast: “Half if not more of the secret sauce” in getting value from AI, he said, “is organizational change, as opposed to technology implementation.” As such, many leading companies have launched initiatives over the past several months to drive AI adoption across their workforces. These efforts run the gamut from carrot-to-stick approaches, with some rolling out hackathon programs and prizes for innovative uses. Others use weekly logins and token consumption as proxies for performance. A PERFORMATIVE APPROACH Leaders are right to focus on the people side of adoption. They need to be deliberate, however, about what they’re encouraging. I’ve learned something in my three decades helping some of the world’s largest companies through culture transformation. Employees prioritize what leaders model, incentivize, and reward. And initiatives built around shallow metrics can do more harm than good. It’s understandable why many leaders today celebrate deliverables simply because they were made with AI, or reward employees for integrating it into workflows. Facing underwhelming internal adoption metrics, many have come to see any increase in AI usage as a win. At my firm, however, we call this “trophy-style” AI adoption—which is to say, a performative approach focused more on usage than results. It’s focused on participation trophies over proof of impact. Leaders need to be wary of this trap. Because as anyone following the “workslop” problem or the emerging research on cognitive atrophy will know, not all AI use cases are created equal. Trophy-style adoption creates a dangerous illusion of progress, where activity masquerades as impact. In other words, we’re rewarding output over outcomes. A culture built around shallow adoption risks more than struggling to achieve ROI; in some cases, it might leave employees less equipped to meet business needs than prior to AI. IMPACTFUL ADOPTION Impactful AI adoption will look different based on the company, a person’s role, and many other factors. For some, it means deepening the quality of the same work product. For others, it means increasing output without sacrificing quality. And for still others, it means getting the same work done in less time, repurposing time and energy toward new questions and tasks. All the best adoption initiatives, however, will be reverse-engineered from the larger business strategy. They will be built around metrics that connect to it. The process of designing an adoption initiative should start with clarity and specificity around big-picture questions. What does value look like for our organization? How can different roles change to better deliver it? Leaders cannot lose sight of these framing questions as they determine what gets modeled and encouraged. Wise ones will drive for real business impacts that come from the usage. And when they showcase strong use cases, they will not just reward speed or deep integration. Instead, they will keep the focus on the larger picture, taking great care to explain the meaningful organizational outcomes driven by the use case. In Gagen MacDonald’s latest white paper, we dive into what it takes to do this well, and what organizations can do to bridge the separate realities that exist between leaders and employees around AI. Because while the employees who create the most impact with AI will certainly use it frequently, it’s a mistake to think of usage as synonymous with impact. And given how much companies have spent and plan to keep spending on this technology, it’s not a mistake many leaders can afford to make. Maril MacDonald is founder and CEO of Gagen MacDonald. View the full article

A day after Pope Leo XIV released his much anticipated encyclical on AI, the response from the AI community has been mainly positive, with some quibbling over the nature and potential of the technology. The Vatican released the encyclical, titled Magnifica Humanitas: On Safeguarding the Human Person in the Time of Artificial Intelligence, in Vatican City on Monday. (An encyclical is a high-importance teaching document issued by the Pope.) Broadly, the document aims to demarcate the fundamental differences between humans and machines and warn about the dangers of allowing AI to be controlled and distributed by a small group of people. The Pope denounced the “culture of power” driving the AI race, referencing the small set of wealthy investors and tech companies currently controlling the development and distribution of the technology. Pope Leo’s concerns also reflect a much broader religious debate around AI that has emerged across faith traditions in recent years. Religious leaders and scholars from Christianity, Judaism, Islam, and Buddhism have wrestled with everything from AI-written sermons and chatbot theologians to the technology’s impact on labor, misinformation, warfare, and the environment. While some communities have embraced AI tools for research, translation, and religious education, many leaders have emphasized that machines cannot replace divine inspiration, moral judgment, or the human relationship to faith. Pope Leo himself recently warned priests against using AI to prepare homilies, arguing that artificial intelligence “will never be able to share faith.” Within the AI research community, the response to Magnifica Humanitas has been mainly positive. One researcher, Chris Olah, participated in the Vatican’s process of shaping the ideas behind the encyclical. “This clearly raises questions beyond computer science,” Olah said in a companion statement to Magnifica Humanitas. “The machinery that makes this possible is the work of math and programming and science. But what character we choose, how it interacts with the world, how it ought to interact with the world—these are more clearly questions for the humanities, for religion, for philosophy, for society at large.” The encyclical, which is 85 pages long, was informed by extensive conversations with scientists, engineers, educators, political leaders, and families, the Vatican said. ‘The Pope is right’ Author and systems architect Daniel Jefferies broadly agreed on X with the Pope’s warning that AI will reflect the values of the people and institutions controlling it. “The Pope is right: AI takes on the characteristics of those who build it, finance it, and regulate it,” Jefferies wrote, before arguing that concentrated corporate control over AI could create “digital oligarchies” resembling modern-day East India Companies. AI pioneer and Turing Award winner Yann LeCun retweeted Jefferies’ post. Another Turing Award winner, Yoshua Bengio, echoed the Pope’s concern over AI’s potentially destructive power. “Like nuclear energy, AI must be at the service of all and of the common good. Decisions about technology must never be separated from conscience and responsibility.” ‘Relatively mundane AI dangers and changes’ Not everyone in the AI community agrees with the Vatican’s view of what AI is, or what it could eventually become. The encyclical draws a firm distinction between AI systems and human beings, arguing that machines cannot possess consciousness, morality, or lived experience. “So-called artificial intelligences do not undergo experiences, do not possess a body, do not feel joy or pain, do not mature through relationships and do not know from within what love, work, friendship or responsibility mean,” the document states. AI commentator Zvi Mowshowitz took issue with that premise.“ The central claim, wherein Pope Leo denies that AIs can think or importantly be minds, is wrong, as Olah points out in his statements,” he wrote on Substack. “Without the understanding of what AI is capable of becoming, the document effectively only deals with relatively mundane AI dangers and changes, although that on its own is still rather quite a lot to deal with and discuss.” AI policy analyst and writer Dean Ball says the church should focus on helping humans flourish as AI evolves further. “Some think I want the Pope to ‘ensoul’ AI or acknowledge AI feelings. I don’t,” Ball posted on X. “What I want is for the Church to contemplate what *humans* should do as we are eclipsed as the smartest entities on the planet, at least for many reasonable people’s definitions of the word ‘smart.’” President Donald The President has yet to post about the encyclical on Truth Social, but his former AI “czar,” David Sacks, weighed in. Sacks isn’t worried about letting a small set of AI companies effectively regulate themselves; he’s worried about giving the government the power to do it. (And who can pass up a couple of literary and historical knowledge flexes when the opportunity presents? Not Sacks.) Writing on X, David Sacks argued that giving governments broad authority over AI in the name of safety could ultimately enable censorship, surveillance, and social control. Invoking both George Orwell and the Latin phrase “Quis custodiet ipsos custodes” (translation: “Who will guard the guardians?”), Sacks wrote that “The oldest questions of human nature and authority don’t disappear in the AI age. They become newly relevant.” (In response to Sacks’ X post, a number of prominent voices in the AI world have since weighed in. Among them was Hugging Face CEO Clem Delangue, who argued that “the most important AI risk is concentration,” and cognitive scientist Gary Marcus, who warned against “leaving unelected private companies the ability to censor, surveil and control citizens.”) The The President administration, influenced by tech nouveau right figures like Sacks and Marc Andreessen, has gone to great lengths to keep the AI industry free of government oversight and regulation. Notably, most of the tech nouveau right crowd has remained silent on the Pope’s treatise. There have been no public comments yet from Elon Musk, Andreessen, Palmer Luckey, Balaji Srinivasan, Keith Rabois, Joe Lonsdale, or Jason Calacanis. View the full article

LastPass has come under fire in recent years following a 2022 data breach that compromised user vaults. Despite the controversy, it remains a popular and user-friendly option for saving credentials. But you don't have to stick to LastPass' default setup: If LastPass is your password manager of choice, these are the best hacks to optimize your experience. Use vault identities to keep work and personal credentials separate If you have one LastPass account for both work and personal use, you can separate relevant items into sub-vaults. When you toggle between them, you'll see only the credentials relevant to that identity, and LastPass will suggest only those items for autofill. This reduces confusion and clutter, especially if you have both personal and professional accounts for the same services. You can also create mini-vaults based on category themes (such as travel or shopping) to organize your data. Go to Advanced options > Add identities on the left-hand navigation and click the Add icon. Name the new identity and drag and drop items into it. Then click Save. You can switch identities from the drop-down under your user account. Set up custom fields to save PINs and security questionsIn addition to your username and password, LastPass has custom fields you can use if a website or app requires other inputs—such as a PIN or security question—for logging in. Instead of saving these as text in a notes box, you can specify the name and value in a custom field. Open your password, tap the Edit icon, and select Custom fields > Add custom field. Add the name in the Field label column, then enter the value in the Field content column and tap Save. Use "Favorites" to quickly launch frequently visited sites If you open the same sites over and over—such as your work email, calendar, or project management platform—you can add these to your LastPass favorites and launch them all with one click. This streamlines your morning workflow, so you no longer need to type URLs or open separate bookmarks. Find the item you want to favorite in your vault, hover and tap the Edit icon, and select Star > Save. When you're ready to launch, go to Advanced Options in the sidebar of your web vault and hit Open your favorite sites. Each will open in a new tab, and LastPass can autofill credentials if needed. Use item history to restore old passwords or reverse a lockout If you update credentials on a website or app, password managers will prompt you to automatically save the new version to your vault. Sometimes, though, the site itself glitches or fails to update the password, locking you out of your account. Instead of going through a tedious reset process, you can view the version history in LastPass to grab the most recent password. Open the item and select Edit, tap the History icon, and select View to see the last five changes. Add important documents to Notes for easy access when you travelIf you need access to important documents like your passport, birth certificate, or medical records when you're away from home, but don't want to store them in the cloud unsecured, you can add them to LastPass. The app encrypts each document, so they're accessible only when your vault is unlocked on your device. Attachments can be up to 10 MB each. (Free users have a total storage limit of 50 MB, while LastPass Premium subscribers get 1 GB.) Select Notes in the navigation bar and tap the Add Item icon. Select Attachments and follow the prompts. LastPass supports a variety of file types, including .pdf, .docx, .jpeg, and .txt. Whitelist other countries so you can access your vault abroad (or when using a VPN) By default, LastPass limits logins to your vault to the country where your account was created—a security feature that protects your account from unauthorized access attempts. However, there may be times when you need to access from a different country, such as when you're traveling or using a VPN connection elsewhere in the world. You can whitelist additional countries under Account settings > General > Show Advanced Settings. Under Security > Country Restriction, check Only allow login from selected countries and select the countries you want to add. Then hit Update, enter your master password, and select Continue. Restrict views on shared logins to keep passwords hiddenCredential sharing is a useful feature in most password managers, as it allows you to securely send logins for shared accounts. However, there may be times when you want to grant someone access to an account to complete a task but not allow them to view the password itself—for example, if you have an assistant who uses your social media or billing platforms, or a family member who wants temporary access to a streaming service. When you hide passwords, those you share with can use autofill but not view or copy the plain-text credential. When you share individual items, you can leave Allow Recipient to View Password unchecked; in Shared Folders, you can check Hide Passwords next to the recipient's name. Set up emergency access to pass down your digital estateUnlike some password managers, LastPass has an explicit legacy access feature that allows you to will your vault to a trusted contact if you are incapacitated. Once invited, a trusted contact can request access to your vault. If you don't decline the request within a specified wait time, they will receive an Emergency Access folder in their vault containing all of the items in yours. Vault owners can revoke access later, but this is useful if your trusted contact needs to manage financial accounts or have access to other data, even temporarily. In your vault, go to Emergency access in the left navigation menu and open the People I Trust tab. Tap the plus sign and enter your trusted contact's email. (Note that they must also have a LastPass account or create one.) Specify the wait time, then hit Send Invite. Set up equivalent domains to merge multiple items into one entry If you have a single account you use to log in across multiple domains or subdomains from a single provider, you can merge these items in your LastPass vault instead of maintaining separate entries. For example, you might have a single account used across Apple domains that you'd prefer not to store as individual items. This reduces clutter in your vault and streamlines your autofill options down to one. Go to Advanced options in your vault and select Autofill settings > Equivalent Domains > Add new. In the domain field, enter the domain you want to merge, then tap Add. Add 'Never URLs' to prevent LastPass from autofilling credentials or forms on specific websitesAnother useful advanced setting is "Never URLs," which allows you to disable some (or all) LastPass interaction with certain sites. You can opt to prevent pop-ups prompting you to generate or save a password—which can happen if you're simply entering a two-factor authentication code—or disable autofill if multiple people are using the same device. Go to Advanced options > Autofill settings > Never URLs and select Add new. Enter the URL and select the desired action, then hit Save. View the full article

At Google, AI is reshaping employees’ titles and how they work. Last month, Google Cloud’s senior director and chief evangelist Richard Seroter told Fast Company that software engineers have turned into product engineers, or architects, as they move away from manual coding to directing teams of AI agents. It seems that AI also changed how Google’s CEO, Sundar Pichai, works, too. “I just think the CEO job is not that complicated,” Pichai said when asked how close AI is to replacing him as a CEO during a recent interview with The Verge. “There are aspects of it where I think [AI] is going to be very, very helpful in terms of decision-making.” The CEO added that AI can “make more rational choices over time.” He also said that “there are very, very few decisions which are really consequential, and most decisions aren’t.” Instead, Pichai said, making the decision and keeping the company moving forward is most important. “Done correctly, these tools are going to allow us to operate at the next level in everything we are doing,” Pichai added. “It’s not like you won’t do what you were doing before. You will start from a higher foundation.” Pichai likened AI agents to the advent of other innovations in the workplace, like spreadsheets. “I have to think back to, ‘how did people do all this financial analysis before’?” he asked. “I’m sure it changed over a period of three to four years fundamentally, and we got used to it.” With AI, some companies are restructuring their organizations completely. Block CEO Jack Dorsey said he wants 6,000 direct reports, effectively eliminating middle managers. Meta announced plans to create an AI engineering team with 50 engineers that reported to a single manager. Pichai didn’t confirm or deny that similar extreme restructuring would take place at Google. “Leaders and people are incredibly important,” Pichai said. “And it depends. Some companies have a much narrower suite of products, and so different structures may work. When you’re running something at the scale of Google Cloud, it’s important that there is a CEO in charge.” Still, as Google uses AI “more effectively,” roles at the company have changed. Pichai said that developers at Google went from merely using AI tools to assisting AI agents with coding, while some engineers direct teams of AI agents. Last month, the CEO announced that 75% of the company’s code was AI-generated. During the interview, Pichai also chimed in on the current trend of commencement speakers being booed for drumming up AI. Eric Schmidt, the former CEO of Google, was booed at the University of Arizona during his commencement address when he spoke about the rise of AI. “AI is the most profound technology humanity’s going to deal with,” Pichai said in the interview. “It’s happening at a very fast pace. I don’t think humans have evolved to process this much change, and the rate of change particularly over the last few years is incredibly high.” While Pichai acknowledged people’s concerns about how AI is changing the job market and the economy, he added that AGI—or artificial general intelligence, a hypothetical AI that matches or exceeds human cognitive capabilities—is on the horizon, “coming sooner rather than later,” and that it is “important that we as a society understand it and are preparing as much as possible.” If that’s any indication of how Pichai will talk about AI during his commencement address at Stanford University in June, we’ll have to wait and see how his words go over with those grads. View the full article

The current AI boom reminds me of the dot-com era, which I watched unfold from venture capital in the late 1990s and early 2000s. Lots of hype. Eye-watering investments. Genuine transformative potential. Most conversations about AI today focus on the obvious value, productivity, and efficiency gains. That’s real, but it’s the shallow end. The deeper potential is something else entirely: ending the linear take-make-waste economy and with it, our reliance on fossil fuels. For half a century, the global economy has run on a simple, destructive model. Extract finite resources from the Earth. Manufacture mostly disposable products. Throw away. Repeat. Petroleum into packaging and apparel. Oil in cars. Critical minerals in the backbone of nearly every modern technology. The list is long, but the pattern is the same. We treat finite resources as if they were infinite, when we all know they are not. COVID and the recent conflict around the Strait of Hormuz have made clear how fragile these supply chains really are, and why our dependence on finite resources concentrated in a handful of geographies is no longer a defensible strategy. The linear model strands value and creates strategic dependence. THE ALTERNATIVE Circularity is not a new concept. It refers to an economic model where materials already in circulation are infinitely regenerated, reducing the need for extraction and putting to work what’s already above ground, much of it currently bound for landfill. Circularity creates resource efficiency, strengthens supply chains and opens up new material sources. Instead of depending on a small number of extraction hubs, reserves diversify dramatically. Countries and industries gain genuine control over the materials they need. And the economics of reusing what’s already in circulation, rather than sending it to landfill, are increasingly hard to argue against. According to a new report from Circle Economy and Deloitte, our lack of circularity is costing the world €25.4 trillion a year, equivalent to nearly 31% of global GDP. Circularity is far more than a sustainability measure. It’s an economic imperative, and right now the cost of ignoring it shows up in resource inefficiency, premature product disposal, underutilized assets, and mounting sovereign and supply chain risk. AI is what gets us closer to making circularity the default economic model of the future, not the exception. Biotechnology, the practice of engineering biology to design new industrial processes, has long been used to solve global challenges. Insulin. Vaccines. Biofuels. Biomaterials. But its potential for circularity has been constrained by the sheer complexity of biological systems and the time it takes to discover and validate new solutions. AI’s strength is finding patterns in vast, complex biological datasets that sit beyond human cognitive capacity. It dramatically narrows the search space and shortens the time to discovery and validation. For circularity, that opens the door to rapidly advancing fields like protein design and the discovery of new enzymes capable of regenerating end-of-life materials (plastic packaging, apparel, and critical minerals in e-waste) into virgin-identical inputs. AI applied to biotechnology is the mechanism that can make circularity viable at global scale, and in doing so, end modern society’s reliance on fossil fuels and the linear economy. THE NEXT 50 YEARS The world order of the last 50 years will not apply to the next 50. The raw materials that power everyday life will become more valuable, not less, and the economies that control them will hold enormous strategic power. Circularity breaks that dependency. And AI, the same technology being hyped today for productivity gains, is what makes it possible at the speed and scale the world actually needs. AI is not without risk. It has to be designed responsibly, built ethically, and powered by clean energy. Otherwise, it simply adds to the problem it could solve. But if we get that right, the dot-com era will look modest by comparison. This is the technology that could finally close the loop, and with it, end our reliance on fossil fuels. Paul Riley is founder and CEO at Samsara Eco. View the full article

Given its profound implications for the workforce, the environment, and humankind as a whole, it’s no surprise that almost everyone has an opinion on artificial intelligence these days, including the pope. Less than a year after his election, Pope Leo XIV just released his first encyclical, a pastoral letter aimed to offer guidance. Titled Magnifica Humanitas: On Safeguarding the Human Person in the Time of Artificial Intelligence, the 42,300-word letter offers a glimpse into the pope’s stance on AI, highlighting various concerns over the dangers of technology as well as a need for safeguards to be put in place. “Calling for prudence, rigorous evaluation and even, at times, a slower pace in adopting AI does not mean opposing progress,” Pope Leo wrote. “Instead, it is an exercise of responsible care for the human family.” How have people reacted to the letter? While the letter aims to bring attention to AI and its dangers, it is also having an additional, unexpected response—bringing a fresh cultural relevance to an otherwise antiquated institution: the Catholic Church. “Pope Leo really makes me empathize with my grandma hanging a framed photo of John Paul II in her kitchen,” a user said on X in a post with over 7,000 likes. Another responded: “I’ve been Catholic grandma-maxxing ever since the guy was elected. I put one up too. lmao.” Others are taking the chance to inject humor into the conversation. A user said on X: “Now I’ll have to baptize myself Catholic so that every time they tell me to use Chat GPT, I can say that ‘my religion forbids it.’” “[Pope Leo XIV] released a statement that says it’s absolutely critical for the survival of mankind that I have a summer situationship,” another added. Still, some users did not agree with the pope’s stance, including Blake Scholl, founder and CEO of Boom Supersonic. “Bad take from the Pope,” he said in an X post. “Tech revolutions tend to eliminate some jobs while creating others. If we cling onto jobs, we’d still be plowing fields by hand out of fear of disruption.” Reactions to the encyclical highlight not just a conversation around technology, but also a quiet shift toward embracing the Catholic Church. After suffering declines in attendance in the wake of the institution’s abuse scandals, local archdioceses are once again welcoming record-high numbers of new converts. The Holy See has also had other notable internet moments of late, like a recent video of the pope doing the 6-7 hand gesture while chatting with a group of young kids. Users are, in fact, noticing the slow shift. “Me when young: The Catholic Church is an archaic and out-of-touch relic that will fade away in the modern world,” a user said on X. That same user added: “Me now: The Catholic Church may be our last salvation, pun intended. Welcome to the resistance.” The widely circulated encyclical is not Leo’s first time bridging a discussion between the Vatican and emerging technologies. In the past, he has expressed concern over the effects of AI on human development and offered personal advice on using it. “Use it in such a way that if it disappeared tomorrow, you would still know how to think,” he told a high school student in Honolulu. View the full article

Being critical of AI is far from a fringe position in the United States. Recent polling shows that half of U.S. adults feel more concerned than excited about the increased use of AI in daily life. And among Gen Z specifically, excitement and hope around artificial intelligence are falling while anger over the tech increases, with 42% of Gen Zers saying AI makes them anxious. But those increasingly common AI-critical sentiments are reportedly raising flags with the federal government. More than a thousand pages of unpublished reports acquired by Wired show a worrying trend across America: Federal intelligence agencies and domestic law enforcement are targeting “anti-technology extremists.” Counterterrorism under The President Earlier this month, President Donald The President and counterterrorism czar Sebastian Gorka shared the federal government’s current counterterrorism strategy. In it, Gorka laid out what he claims are the biggest terrorist threats to the U.S., naming “violent left-wing extremists, including anarchists and anti-fascists” as one of the “three major types of terror groups” facing America. The President’s foreword to the strategy concluded with his message to domestic terrorists: “We will find you and we will kill you.” According to the unpublished reports detailed by Wired, anti-tech extremism is subject to the same surveillance and potential criminalization laid out in that strategy. One such report, sourced from the New York Intelligence and Counterterrorism Bureau, introduces the term “anti-tech violent extremist” in the context of widespread AI adoption. “The chaotic atmosphere that may result from emergent AI technology in the next five years may fuel large-scale protests that devolve into civil unrest and anti-tech violent extremist activity, especially in large urban areas such as New York City,” the report reads. Some of the acquired documents come from fusion centers, which serve as links between federal intelligence agencies and state and local law enforcement departments. These fusion centers are reportedly on the lookout for threats to data centers, an especially controversial aspect of the AI boom. Though 7 in 10 Americans oppose the local construction of data centers, The President has gone so far as issuing an executive order to fast-track their development. A report from one western Pennsylvania fusion center claimed that “adversarial actors, including state-sponsored entities, criminal groups, and extremists, such as homegrown violent extremists or environmental extremists, may target U.S. data centers.” It continued: “These actors could also exploit the strategic importance of data centers to the U.S. economy, using them for activities like cryptocurrency mining or leveraging third-party entities, such as front companies, to gain access to U.S. data and infrastructure.” A dangerously broad category Though the documents purport to be targeting anti-tech “extremism,” there’s a fine line between extremism and peaceful protest—and some reports suggest that intelligence agencies could conflate the two. For example, a report from the Northern Virginia Regional Intelligence Center claimed that extremists are engaging in preoperational planning to target data centers based on observed behaviors. But in its breakdown of suspicious activity reporting (SAR) indicators, the flagged behaviors could just as easily be carried out by peaceful protestors, including “expressed/implied threat,” “observation/surveillance,” “photography,” “testing/probing of security,” and “attempted intrusion.” Additionally, fusion centers are reportedly keeping tabs on tech-critical protests and civic activities. That includes reporting on local budget meetings and school board meetings, along with protests like the “Tesla Takedown” movement, which critiques Elon Musk’s outsize influence on the U.S. government. View the full article

Ferrari’s first-ever all-electric vehicle, the Luce, was designed to look “entirely new,” the company says, and so far the reaction to the new EV has been polarized. Shares of the Italian luxury automaker fell in premarket trading Tuesday after Ferrari unveiled the car named after the Italian word for “light” on the anniversary of its first Rome Grand Prix victory. The Luce, expected to sell for about $640,000, was designed by former Apple chief design officer Jony Ive and Marc Newson through their design collective LoveFrom. Online, people expressed their disappointment. The Luce doesn’t look like a Ferarri, some complained, suggesting it has the sleek, compact, and rounded forms of an iPad rather than the automaker’s traditional sports car look with angular, aerodynamic forms. On Reddit, users called the Luce “awful,” and compared it to Waymo. Car & Driver commenters didn’t think it has Ferrari DNA. X users called it a “beautiful ugly car” and asked if it was available on Temu or designed by Hot Wheels. In a statement, Ive explained that the car’s electric drive train allows for a “radically new architecture,” adding that it encouraged a spaciousness that most sports cars cannot afford. “The design approach was driven by a determination to explore, exploit, and celebrate the unprecedented opportunities afforded by a new power source,” Ive said. “While inspired by this extraordinary opportunity, we were mindful of the challenges of moving beyond the visceral engagement and soulful engine noise of the past.” The EV has more than 60 new patents, and it could be the closest thing we get to an “Apple car” after Apple dropped its EV project in 2024. Its shell-like form is reminiscent of a computer mouse, as if the whole top is a multi-touch trackpad you can click. The exterior design is built on the concept of a glass house with a light and airy interior. The interior lighting effects, meanwhile, are dynamic and futuristic: Front and rear lights are transparent and slowly recede after the car is switched off. After docking the key, Ferrari yellow glows from the key across the interface. While much of the Luce looks and feels like a computer, the physical controls give the interior an elevated analog interface—with its knobs, switches, and buttons offering a satisfying, tactile experience that replaces the sterile sensation of an iPhone touchscreen. “We really wanted every part, every component, to be designed as an individual product. So it’s like dozens and dozens of cameras and watches,” Ive told Fast Company earlier this year when Ferrari previewed the EV’s steering wheel, center console, seat, and dashboard components. The negative initial response to the Ferrari Luce is par for the course when it comes to automakers rethinking what a car and car brand should look like as they adapt for EVs. But that’s exactly what Ferrari was going for by tapping outside designers to bring a new perspective and design language to the project. The Luce “lights the way towards the future,” the company said in a statement. “Not merely the ‘electric Ferrari’ but an entirely new Ferrari.” Priced as high as it is, Ferrari doesn’t really need to convince the wider public to like its new car in order to actually sell it. There’s only a limited number of customers who can afford an EV that costs more than the average U.S. home. By designing something bold and new, Ferrari hopes to cater to buyers who can afford a car that doesn’t look like anything else out there. View the full article

Teams evaluating work management tools often want something that organizes projects without creating unnecessary complexity. If you’re researching Monday for project management, understanding where it fits compared to dedicated project management software can prevent painful software decisions later. What Is Monday? Monday is a work management platform used to plan, organize and track tasks, projects and business workflows. It is commonly used by project teams, operations departments, marketing groups and software teams to assign work, manage schedules and coordinate collaboration across teams. The platform combines boards, timelines, dashboards, automations and multiple project views so organizations can build workflows around their own processes instead of following a rigid structure. Monday also supports dependencies, reporting capabilities and resource planning features for teams that need visibility across multiple projects. If you need a project management tool that offers a better project management experience than Monday, try ProjectManager. ProjectManager is award-winning project management software that gives businesses across industries the tools they need to ensure projects are completed on time, within budget and within scope. It allows project managers to make detailed project schedules, estimate costs, allocate resources, set budgets, track progress and compare planned versus actual project outcomes using real-time dashboards and reports to identify delays or cost overruns quickly. Get started with ProjectManager for free today. /wp-content/uploads/2022/07/Construction-Gantt-light-mode-task-info-general-CTA-BUTTON-1.jpgLearn more Is Monday Project Management Software? Yes, Monday is a project management software, but that’s not the whole story. Upon closer inspection, it’s clear that its strongest capabilities lean toward task management, workflow management and team collaboration rather than advanced project planning, scheduling and tracking functionality. While Monday includes common project management features such as Gantt charts, kanban boards, dashboards and project reports, some planning and scheduling functionality remains lighter than what specialized project management platforms provide. Official documentation shows support for task dependencies, Gantt-chart-like timelines and resource planning tools, including workload and capacity management features. However, much of the platform focuses on visual work management rather than project scheduling controls, budget tracking, cost management or detailed planned-versus-actual performance tracking found in more advanced project management tools. Depending on project size and complexity, that distinction can become important as teams require more powerful tools. Monday Project Management Features Monday allows teams to build boards, switch between multiple project views and automate repetitive work while monitoring schedules and progress. Rather than forcing a fixed methodology, the platform allows departments to configure project structures around their own processes and reporting needs. Gantt Charts: Visualize schedules, milestones, critical paths and task relationships across projects. Kanban Boards: Organize work visually by moving tasks through workflow stages. Project Dashboards: Display project metrics, timelines, workloads and progress in real time. Task Dependencies: Connect related work items so activities follow required execution sequences. Workload Management: Monitor team capacity and balance assignments across resources. Workflow Automations: Eliminate repetitive manual actions using customizable trigger-based workflow rules. Time Tracking: Record time spent on tasks to monitor effort and productivity. Project Templates: Launch projects faster using prebuilt workflows and configurable structures. Collaboration Tools: Share files, leave updates and communicate directly within project items. Third-Party Integrations: Connect project data with communication, productivity and business applications. Pros of Monday for Project Management Certain teams benefit more from monday for project management than others. Departments that run marketing campaigns, operational workflows, internal projects or cross-functional initiatives often gain the most value because the platform emphasizes visual organization, flexible workflows and collaboration rather than highly structured scheduling methods or complex project control environments. Highly customizable boards allow teams to adapt workflows without changing established processes. Visual project views make schedules, priorities and assignments easier for teams to understand. Workflow automation reduces repetitive administrative work and saves time across recurring activities. Built-in collaboration features keep conversations, files and approvals inside project workspaces. Large integration libraries connect project data with communication and business applications. Cons of Monday for Project Management Problems usually start showing up when projects stop being simple task lists and become real projects with budgets, resource constraints, dependencies and deadlines. Monday works well when teams mainly need visibility and collaboration, but once managers need deeper project planning, scheduling and tracking, some limitations become much harder to ignore. Scheduling can feel too basic: Building a real project schedule with multiple dependency relationships and schedule logic becomes limiting once projects grow beyond straightforward task sequences. Cost management barely exists: Project managers tracking budgets, labor costs, actual spending and project financial performance will likely need external spreadsheets or additional tools. Resource planning isn’t built for complex environments: Seeing who is overloaded is helpful, but balancing people, equipment and project capacity across multiple initiatives becomes harder. Customization can become its own project: Teams often spend significant time building workflows, columns, automations and dashboards before work actually starts moving. Advanced project controls are limited: Features like project baselines and planned-versus-actual comparisons and critical path analysis are not deeply developed for managing complex projects. Why ProjectManager Is Better for Project Management than Monday? After comparing ProjectManager and Monday side by side, the biggest difference isn’t collaboration or visual workflows. The difference starts showing up when projects become larger, more expensive and harder to control. Monday helps teams organize work, but ProjectManager gives project managers deeper tools to plan, schedule, manage resources and control project execution. Gantt charts built for managing project execution, not just visualization: ProjectManager’s Gantt chart connects project schedules with resource allocation, timesheets, workload management, planned-versus-actual performance and cost tracking in one tool. Monday’s Gantt chart handles basic scheduling, dependencies and project baselines well, but it leans more toward timeline visualization. Resource allocation connected directly to project plans: ProjectManager lets project managers assign resources, monitor resource utilization and rebalance workloads directly from active project schedules across Gantt charts, kanban boards, task lists and other project views. Monday includes workload functionality, but resource planning relies more heavily on separate workload views and dashboards rather than being embedded throughout project execution workflows. Robust project dashboards and reports: ProjectManager dashboards and reports automatically surface project health, workload, cost and progress metrics in real time. Monday dashboards provide simpler project visibility and require manual board configuration. ProjectManager is designed for project portfolio management: ProjectManager offers project portfolio management dashboards and roadmaps, where teams can monitor multiple projects, balance resources, track budgets, compare project health and identify bottlenecks. Monday can be used to organize multiple projects, but lacks PPM-specific capabilities. Built for managing projects instead of organizing work: Monday excels at workflows, collaboration and work organization. ProjectManager was designed around planning, executing and controlling projects where deadlines, resources and budgets directly affect outcomes. Timesheets connected directly to project execution: ProjectManager includes built-in timesheets that feed directly into schedules, resource workloads and project tracking data. Monday offers native time tracking and timesheet templates, but deeper timesheet workflows often rely more heavily on dashboards, customization or additional tools. ProjectManager Is a Robust Project Management Software ProjectManager is an online project management software that provides a robust feature set of project planning, scheduling and tracking tools, including Gantt charts, kanban boards, task lists and real-time dashboards and reports. With these tools, teams across industries can build detailed schedules, assign resources and monitor progress, costs and timelines. ProjectManager also delivers AI-powered project insights to support better decision-making and connects with over 100 tools like Microsoft Project, Acumatica and Jira. With its open API and wide range of integrations, organizations can seamlessly link ProjectManager to their existing systems. Watch the video below to learn more! If you need a tool to help you manage projects, then sign up for our software now at ProjectManager. Our online software helps teams across industries plan, track and oversee projects as they unfold. Sign up for a free 30-day trial today! The post Monday for Project Management: Features, Pros and Cons appeared first on ProjectManager. View the full article

Pichai reviewed a live AI Overview and called it "more opinionated than it should be." He also addressed bounce clicks and publisher traffic. The post Google CEO On AI Overviews: ‘More Opinionated Than It Should Be’ appeared first on Search Engine Journal. View the full article

A customer loyalty program service is a structured approach that rewards your customers for their repeat business, often through points, discounts, and exclusive offers. By implementing such a program, you can encourage customer retention, increase average order values, and ultimately enhance your revenue. Comprehending the key components and benefits of these programs is crucial for maximizing their effectiveness. So, what factors should you consider when designing a loyalty program that truly resonates with your audience? Key Takeaways A customer loyalty program service incentivizes repeat purchases through rewards, discounts, and exclusive offers, fostering long-term customer relationships. Implementing a loyalty program can increase revenue, with companies experiencing growth 2.5 times faster than those without such programs. Personalized rewards based on customer data enhance satisfaction and engagement, driving higher customer retention and loyalty. Tiered rewards motivate customers to spend more, increasing average order value and boosting annual spending by up to 25%. Loyalty programs reduce churn rates, as 59% of members prefer brands with rewards, ensuring a competitive edge in the market. Understanding Customer Loyalty Programs Customer loyalty programs serve as a critical strategy for businesses aiming to boost repeat purchases and cultivate lasting relationships with their customers. These initiatives incentivize consumers through rewards, discounts, and exclusive offers, enhancing customer retention. Approximately 80% of American consumers belong to at least one loyalty program, showcasing their effectiveness in attracting and keeping customers. You’ll find that loyalty program members are 59% more likely to choose a brand over its competitors, indicating the significant impact these programs can have on purchasing decisions. Companies that implement customer loyalty program services often experience revenue growth 2.5 times faster than those without. Additionally, loyalty marketing companies offer a loyalty program as a service, which helps businesses gather valuable customer data. This data allows you to tailor marketing strategies and improve customer experiences based on individual preferences. By comprehending customer loyalty programs, you position your business for long-term success. Key Components of a Loyalty Program A successful loyalty program is built on several key components that work together to encourage customer engagement and drive repeat business. First, a structured reward system lets customers earn points for their purchases, motivating them to return. Tiered rewards can further improve this by offering greater benefits as customers spend more, increasing both average order value and customer lifetime value. Personalization, based on customer data, is vital; customized offers make customers feel valued and understood. Simplified participation processes, such as easy sign-ups and clear rules for earning and redeeming rewards, are fundamental for encouraging widespread adoption. Moreover, leveraging technology allows you to track customer behavior, providing insights that inform marketing strategies. When implemented effectively, loyalty as a service can create a seamless experience for customers, similar to what many stores that have loyalty cards offer. Benefits of Implementing a Loyalty Program Implementing a loyalty program can lead to increased repeat purchases, as customers are more likely to return when they feel valued. Not just does this improve brand loyalty, but it additionally provides valuable data insights that help you understand customer preferences and behaviors. Increased Repeat Purchases Though many businesses seek ways to boost their sales, establishing a loyalty program can be one of the most effective strategies for increasing repeat purchases. When you implement a loyalty program, you can expect loyal customers to spend 67% more than new ones. These programs often encourage more frequent purchases of lower-margin products, prompting customers to return regularly to earn rewards. In fact, customers involved in loyalty programs are 43% more likely to make purchases weekly. Furthermore, reward redemption can lead to up to 25% more annual spending. Companies with loyalty initiatives typically experience revenue growth 2.5 times faster than those without, showcasing the significant impact of nurturing repeat business through well-structured loyalty programs. Enhanced Brand Loyalty Loyalty programs don’t just drive repeat purchases; they additionally play a pivotal role in enhancing brand loyalty. When you implement a customer loyalty program, you can expect several benefits, such as: A 67% increase in spending from repeat customers compared to new ones. Loyalty program members are 62% more likely to spend more on your brand. Customers engaged in loyalty programs are 59% more likely to choose your brand over competitors. Companies with loyalty programs grow their revenue 2.5 times faster than those without. Valuable Data Insights When businesses collect data through customer loyalty programs, they reveal a treasure trove of insights that can greatly boost their operations. These programs act as data engines, tracking customer purchases and interactions, which helps you understand consumer preferences and behaviors. By utilizing this data, you can tailor marketing strategies, product offerings, and rewards to better meet customer needs. This data-driven approach improves overall customer satisfaction, as personalized communications and rewards become more effective. Analyzing loyalty program data allows you to identify shopping frequency, spending habits, and product preferences, refining your sales strategies. In the end, effective use of this data can lead to improved customer retention, helping you adapt offerings to keep loyal customers and reduce churn. How Loyalty Programs Improve Customer Retention Loyalty programs play an essential role in boosting repeat purchases and reducing churn rates. By offering rewards and incentives, these programs encourage customers to return, leading to higher spending and increased customer lifetime value. As you engage more with your loyalty program, you not just strengthen your connection with the brand but additionally contribute to its overall success in retaining customers. Boost Repeat Purchases Though many businesses seek ways to improve customer relationships, implementing a well-structured loyalty program can be a revolutionary factor for boosting repeat purchases. Here are some key benefits: Increased Spending: Loyal customers typically spend 67% more than new ones. Faster Revenue Growth: Companies with loyalty programs grow revenue 2.5 times faster than those without. Competitive Edge: Customers in loyalty programs are 59% more likely to choose your brand over competitors. Tiered Rewards: Offering tiered rewards can encourage customers to make more frequent purchases. Reduce Churn Rates Implementing a customer loyalty program can be a transformative factor for reducing churn rates, as it actively engages one-time buyers and encourages them to return for future purchases. By nurturing long-term relationships, you can greatly improve customer retention as well as lowering acquisition costs. Here’s how loyalty programs can impact your business: Benefits Impact on Churn Rates Example Increased Engagement Turns one-time buyers into repeat customers Starbucks Rewards Cost-Effectiveness Retaining existing customers is five times cheaper Lower marketing expenses Higher Spending Customers spend 67% more on average Increased average order value Faster Revenue Growth Companies with programs grow 2.5 times faster Sustainable business growth Rewards & Incentives Encourages ongoing purchases Enhanced customer loyalty This strategic approach guarantees your business thrives in a competitive market. Increasing Customer Lifetime Value Through Loyalty When businesses focus on nurturing customer loyalty, they can greatly increase customer lifetime value (CLV). Loyal customers tend to spend considerably more than new customers, which directly impacts your bottom line. Here are four key ways loyalty programs can improve CLV: Higher Spending: Loyal customers spend, on average, 67% more compared to new ones, proving their value. Reward Redemption: Implementing reward systems can boost annual spending by up to 25%, creating a win-win situation. Increased Average Order Value: Tiered rewards, like those at Nordstrom, encourage customers to spend more during promotions. Data Insights: Loyalty programs gather valuable data on customer preferences, enabling you to tailor offerings and further enhance CLV. Strategies to Boost Purchase Frequency To effectively boost purchase frequency, businesses must implement strategies that motivate customers to return more often. One effective approach is introducing tiered loyalty programs, encouraging customers to aim for higher tiers and better rewards. Furthermore, consider stimulating purchases of low-margin products, as seen with McDonald’s McCafé Rewards, where customers return for complimentary beverages. Offering special promotions or double points during slower seasons can likewise incentivize shopping, helping balance sales throughout the year. Finally, rewarding customers for referrals not only increases purchase frequency but transforms them into brand advocates. Strategy Impact on Purchase Frequency Tiered loyalty programs Motivates customers to buy more Promotions during off-peak seasons Encourages frequent shopping Rewards for referrals Boosts customer engagement Low-margin product incentives Encourages regular transactions Enhancing Average Order Value With Rewards Enhancing average order value (AOV) through rewards can be an effective strategy for businesses looking to boost their revenue. By implementing a loyalty program, you can incentivize customers to spend more to earn rewards. Here are four key ways rewards can increase AOV: Incentivized Spending: Customers may increase their spending by 67% when they’re repeat buyers, driven by rewards. Redemption Strategies: Offering rewards can lead to a 25% rise in annual spending, encouraging larger purchases. Tiered Incentives: Programs like Nordstrom’s The Nordy Club drive higher spending during promotions by rewarding customers based on total spend. Frequent Purchases: Loyalty programs can encourage customers to return often, allowing them to accumulate more points or rewards. Building Brand Advocacy Through Loyalty Programs Building brand advocacy through loyalty programs is crucial for creating lasting customer relationships. When you cultivate emotional connections with your customers, they’re more likely to choose your brand over competitors, resulting in positive word-of-mouth. Furthermore, offering referral incentives not only encourages loyal customers to share their experiences but likewise helps you attract new ones, in the end enhancing your brand’s reputation and profitability. Emotional Connections Matter Even though many businesses understand the importance of customer loyalty programs, they often overlook how emotional connections can greatly impact brand advocacy. By nurturing these connections, you can turn customers into advocates. Consider the following benefits: Increased Influence: 66% of shoppers are swayed by the ability to earn and use rewards. Brand Switching: 75% of customers would switch brands for loyalty programs that align with their values. Higher Spending: Loyal customers are 62% more likely to spend more on your brand. Market Differentiation: Emotional ties can help your brand stand out, leading to more frequent purchases. Referral Incentives Boost Advocacy Customer loyalty programs not just nurture emotional connections but also provide opportunities for ReferralCandy to leverage the strength of referrals. By incorporating referral incentives, you encourage satisfied customers to promote your brand to friends and family, greatly lowering customer acquisition costs. Research shows that 75% of customers would switch brands for a better loyalty program, underscoring the importance of advocacy in driving engagement. Customers involved in loyalty programs tend to spend 62% more, highlighting that happy customers are more likely to refer others. Implementing referral bonuses can transform satisfied customers into brand advocates, enhancing word-of-mouth marketing. Moreover, referrals lead to customers with a 37% higher retention rate, showcasing the long-term value of encouraging brand advocacy through loyalty programs. Engaging Brand Experiences Engaging brand experiences are crucial for nurturing strong brand advocacy through loyalty programs, as they create deeper connections between brands and their customers. When you implement these strategies effectively, you can greatly boost customer loyalty and revenue. Here are four key benefits: Increased Spending: 62% of loyalty program members are more likely to spend more on your brand. Positive Word-of-Mouth: Loyal customers enhance your brand reputation by promoting it to others. Sense of Belonging: Exclusive rewards make customers feel valued, enhancing their likelihood to advocate. Faster Revenue Growth: Brands with loyalty programs can achieve up to 2.5 times faster revenue growth compared to those without. The Role of Data in Loyalty Programs As businesses seek to improve their loyalty programs, utilizing data becomes vital for comprehending customer behavior and preferences. Loyalty programs act as data engines, giving you valuable insights into shopping frequency, spending habits, and customer preferences. By gathering this data, you can personalize your marketing strategies and tailor communications, which improves customer satisfaction and engagement. Analyzing the collected data helps identify trends and behaviors, allowing you to optimize rewards and enhance the overall customer experience. Additionally, tracking the effectiveness of your incentives enables you to make necessary adjustments, leading to higher customer retention and increased average order value. Significantly, effective loyalty programs can help your company grow revenue 2.5 times faster than those without them. This statistic highlights the important role that customer data plays in driving sales and profitability, making it indispensable to leverage data effectively in your loyalty initiatives. Seasonal Promotions and Their Impact on Sales Seasonal promotions play a considerable role in driving sales, particularly during off-peak periods when customer activity tends to wane. By implementing these strategies, you can effectively boost revenue and improve customer loyalty. Here are four key benefits: Incentivized Purchases: Offering special rewards or discounts encourages customers to buy more during slower seasons. Increased Loyalty: Double points or exclusive rewards can attract repeat visits and strengthen brand engagement. Higher Spending: Loyal customers typically spend 67% more than new ones, meaning effective promotions can greatly impact your bottom line. Enhanced Brand Visibility: With 80% of American consumers in at least one loyalty program, they’re likely to respond positively to your seasonal offers. Technology’s Role in Modern Loyalty Programs In today’s competitive market, technology plays a crucial role in shaping modern loyalty programs, allowing businesses to effectively track customer engagement and streamline reward systems. Through apps and websites, you can monitor customer activity and tailor rewards, improving their overall experience. Online tools like Facebook and Mailchimp promote participation in your loyalty programs, driving customer retention and satisfaction. The data collected from these programs serves as a valuable resource, offering insights into customer preferences and behaviors, which can inform your targeted marketing strategies. Automation and analytics enable real-time adjustments to rewards and communications, ensuring they align with customer needs. Moreover, improved technological integration simplifies the reward process, making it easier for customers to earn and redeem points. This increased ease eventually boosts their engagement and spending, ensuring your loyalty programs remain effective in retaining customers and driving sales. Best Practices for Designing a Successful Loyalty Program When designing a successful loyalty program, it’s essential to establish clear and straightforward rules for earning rewards, as this clarity improves customer satisfaction and boosts participation rates. Here are some best practices to reflect upon: Personalize the Experience: Use targeted communications and diverse rewards to make customers feel valued and engaged. Incorporate Technology: Implement mobile apps or websites to streamline the reward process, making it easier for customers to track their activity and redeem rewards. Simplify Sign-Up: Reduce complexity during the sign-up process to prevent customer frustration, encouraging more users to join your loyalty program. Analyze Customer Data: Regularly assess the data collected through the program to tailor your offerings and marketing strategies, driving greater retention and increased spending. Frequently Asked Questions How Do Loyalty Programs Benefit Businesses? Loyalty programs benefit businesses by increasing customer retention, which turns occasional buyers into repeat customers. These loyal customers typically spend considerably more, with studies showing they can contribute up to 67% more to your revenue. Furthermore, implementing a loyalty program can accelerate your business growth, as companies with such programs often experience revenue growth that’s 2.5 times faster than those without. What Is a Customer Loyalty Program? A customer loyalty program is a strategic initiative that businesses use to encourage repeat purchases by offering rewards, discounts, or exclusive benefits. These programs aim to build brand loyalty by creating a positive shopping experience. Customers often receive points or perks for their purchases, which can lead to increased spending. Furthermore, businesses gather valuable data on customer preferences, helping them tailor their marketing efforts and improve overall customer satisfaction. What Are the Benefits of Customer Loyalty? Customer loyalty brings several key benefits. First, loyal customers tend to spend more, often increasing your revenue markedly. They’re furthermore more likely to return, boosting your retention rates. Moreover, a strong loyalty program can attract new customers who may switch brands for better rewards. You’ll gain valuable insights into customer behaviors, allowing you to tailor your marketing strategies effectively. What Are the 4 C’s of Customer Loyalty? The 4 C’s of customer loyalty are Commitment, Communication, Consistency, and Customer Satisfaction. Commitment reflects the emotional bond you form with a brand, encouraging repeat purchases. Communication involves personalized messaging that makes you feel valued. Consistency guarantees you receive quality products and services, building trust over time. Finally, Customer Satisfaction is crucial; when you’re satisfied, you’re likely to spend more, reinforcing your loyalty to the brand. Together, these elements strengthen customer relationships. Conclusion In summary, a well-structured customer loyalty program can greatly improve your business’s performance by encouraging repeat purchases and building strong relationships with customers. By focusing on personalization, leveraging data, and employing effective technology, you can create a program that not just retains customers but furthermore increases their lifetime value. In the end, implementing a loyalty program is a strategic move that can drive growth, boost revenue, and improve overall customer satisfaction, making it a crucial component of your business strategy. Image via Google Gemini and ArtSmart This article, "What Is a Customer Loyalty Program Service and How Can It Benefit Your Business?" was first published on Small Business Trends View the full article

A customer loyalty program service is a structured approach that rewards your customers for their repeat business, often through points, discounts, and exclusive offers. By implementing such a program, you can encourage customer retention, increase average order values, and ultimately enhance your revenue. Comprehending the key components and benefits of these programs is crucial for maximizing their effectiveness. So, what factors should you consider when designing a loyalty program that truly resonates with your audience? Key Takeaways A customer loyalty program service incentivizes repeat purchases through rewards, discounts, and exclusive offers, fostering long-term customer relationships. Implementing a loyalty program can increase revenue, with companies experiencing growth 2.5 times faster than those without such programs. Personalized rewards based on customer data enhance satisfaction and engagement, driving higher customer retention and loyalty. Tiered rewards motivate customers to spend more, increasing average order value and boosting annual spending by up to 25%. Loyalty programs reduce churn rates, as 59% of members prefer brands with rewards, ensuring a competitive edge in the market. Understanding Customer Loyalty Programs Customer loyalty programs serve as a critical strategy for businesses aiming to boost repeat purchases and cultivate lasting relationships with their customers. These initiatives incentivize consumers through rewards, discounts, and exclusive offers, enhancing customer retention. Approximately 80% of American consumers belong to at least one loyalty program, showcasing their effectiveness in attracting and keeping customers. You’ll find that loyalty program members are 59% more likely to choose a brand over its competitors, indicating the significant impact these programs can have on purchasing decisions. Companies that implement customer loyalty program services often experience revenue growth 2.5 times faster than those without. Additionally, loyalty marketing companies offer a loyalty program as a service, which helps businesses gather valuable customer data. This data allows you to tailor marketing strategies and improve customer experiences based on individual preferences. By comprehending customer loyalty programs, you position your business for long-term success. Key Components of a Loyalty Program A successful loyalty program is built on several key components that work together to encourage customer engagement and drive repeat business. First, a structured reward system lets customers earn points for their purchases, motivating them to return. Tiered rewards can further improve this by offering greater benefits as customers spend more, increasing both average order value and customer lifetime value. Personalization, based on customer data, is vital; customized offers make customers feel valued and understood. Simplified participation processes, such as easy sign-ups and clear rules for earning and redeeming rewards, are fundamental for encouraging widespread adoption. Moreover, leveraging technology allows you to track customer behavior, providing insights that inform marketing strategies. When implemented effectively, loyalty as a service can create a seamless experience for customers, similar to what many stores that have loyalty cards offer. Benefits of Implementing a Loyalty Program Implementing a loyalty program can lead to increased repeat purchases, as customers are more likely to return when they feel valued. Not just does this improve brand loyalty, but it additionally provides valuable data insights that help you understand customer preferences and behaviors. Increased Repeat Purchases Though many businesses seek ways to boost their sales, establishing a loyalty program can be one of the most effective strategies for increasing repeat purchases. When you implement a loyalty program, you can expect loyal customers to spend 67% more than new ones. These programs often encourage more frequent purchases of lower-margin products, prompting customers to return regularly to earn rewards. In fact, customers involved in loyalty programs are 43% more likely to make purchases weekly. Furthermore, reward redemption can lead to up to 25% more annual spending. Companies with loyalty initiatives typically experience revenue growth 2.5 times faster than those without, showcasing the significant impact of nurturing repeat business through well-structured loyalty programs. Enhanced Brand Loyalty Loyalty programs don’t just drive repeat purchases; they additionally play a pivotal role in enhancing brand loyalty. When you implement a customer loyalty program, you can expect several benefits, such as: A 67% increase in spending from repeat customers compared to new ones. Loyalty program members are 62% more likely to spend more on your brand. Customers engaged in loyalty programs are 59% more likely to choose your brand over competitors. Companies with loyalty programs grow their revenue 2.5 times faster than those without. Valuable Data Insights When businesses collect data through customer loyalty programs, they reveal a treasure trove of insights that can greatly boost their operations. These programs act as data engines, tracking customer purchases and interactions, which helps you understand consumer preferences and behaviors. By utilizing this data, you can tailor marketing strategies, product offerings, and rewards to better meet customer needs. This data-driven approach improves overall customer satisfaction, as personalized communications and rewards become more effective. Analyzing loyalty program data allows you to identify shopping frequency, spending habits, and product preferences, refining your sales strategies. In the end, effective use of this data can lead to improved customer retention, helping you adapt offerings to keep loyal customers and reduce churn. How Loyalty Programs Improve Customer Retention Loyalty programs play an essential role in boosting repeat purchases and reducing churn rates. By offering rewards and incentives, these programs encourage customers to return, leading to higher spending and increased customer lifetime value. As you engage more with your loyalty program, you not just strengthen your connection with the brand but additionally contribute to its overall success in retaining customers. Boost Repeat Purchases Though many businesses seek ways to improve customer relationships, implementing a well-structured loyalty program can be a revolutionary factor for boosting repeat purchases. Here are some key benefits: Increased Spending: Loyal customers typically spend 67% more than new ones. Faster Revenue Growth: Companies with loyalty programs grow revenue 2.5 times faster than those without. Competitive Edge: Customers in loyalty programs are 59% more likely to choose your brand over competitors. Tiered Rewards: Offering tiered rewards can encourage customers to make more frequent purchases. Reduce Churn Rates Implementing a customer loyalty program can be a transformative factor for reducing churn rates, as it actively engages one-time buyers and encourages them to return for future purchases. By nurturing long-term relationships, you can greatly improve customer retention as well as lowering acquisition costs. Here’s how loyalty programs can impact your business: Benefits Impact on Churn Rates Example Increased Engagement Turns one-time buyers into repeat customers Starbucks Rewards Cost-Effectiveness Retaining existing customers is five times cheaper Lower marketing expenses Higher Spending Customers spend 67% more on average Increased average order value Faster Revenue Growth Companies with programs grow 2.5 times faster Sustainable business growth Rewards & Incentives Encourages ongoing purchases Enhanced customer loyalty This strategic approach guarantees your business thrives in a competitive market. Increasing Customer Lifetime Value Through Loyalty When businesses focus on nurturing customer loyalty, they can greatly increase customer lifetime value (CLV). Loyal customers tend to spend considerably more than new customers, which directly impacts your bottom line. Here are four key ways loyalty programs can improve CLV: Higher Spending: Loyal customers spend, on average, 67% more compared to new ones, proving their value. Reward Redemption: Implementing reward systems can boost annual spending by up to 25%, creating a win-win situation. Increased Average Order Value: Tiered rewards, like those at Nordstrom, encourage customers to spend more during promotions. Data Insights: Loyalty programs gather valuable data on customer preferences, enabling you to tailor offerings and further enhance CLV. Strategies to Boost Purchase Frequency To effectively boost purchase frequency, businesses must implement strategies that motivate customers to return more often. One effective approach is introducing tiered loyalty programs, encouraging customers to aim for higher tiers and better rewards. Furthermore, consider stimulating purchases of low-margin products, as seen with McDonald’s McCafé Rewards, where customers return for complimentary beverages. Offering special promotions or double points during slower seasons can likewise incentivize shopping, helping balance sales throughout the year. Finally, rewarding customers for referrals not only increases purchase frequency but transforms them into brand advocates. Strategy Impact on Purchase Frequency Tiered loyalty programs Motivates customers to buy more Promotions during off-peak seasons Encourages frequent shopping Rewards for referrals Boosts customer engagement Low-margin product incentives Encourages regular transactions Enhancing Average Order Value With Rewards Enhancing average order value (AOV) through rewards can be an effective strategy for businesses looking to boost their revenue. By implementing a loyalty program, you can incentivize customers to spend more to earn rewards. Here are four key ways rewards can increase AOV: Incentivized Spending: Customers may increase their spending by 67% when they’re repeat buyers, driven by rewards. Redemption Strategies: Offering rewards can lead to a 25% rise in annual spending, encouraging larger purchases. Tiered Incentives: Programs like Nordstrom’s The Nordy Club drive higher spending during promotions by rewarding customers based on total spend. Frequent Purchases: Loyalty programs can encourage customers to return often, allowing them to accumulate more points or rewards. Building Brand Advocacy Through Loyalty Programs Building brand advocacy through loyalty programs is crucial for creating lasting customer relationships. When you cultivate emotional connections with your customers, they’re more likely to choose your brand over competitors, resulting in positive word-of-mouth. Furthermore, offering referral incentives not only encourages loyal customers to share their experiences but likewise helps you attract new ones, in the end enhancing your brand’s reputation and profitability. Emotional Connections Matter Even though many businesses understand the importance of customer loyalty programs, they often overlook how emotional connections can greatly impact brand advocacy. By nurturing these connections, you can turn customers into advocates. Consider the following benefits: Increased Influence: 66% of shoppers are swayed by the ability to earn and use rewards. Brand Switching: 75% of customers would switch brands for loyalty programs that align with their values. Higher Spending: Loyal customers are 62% more likely to spend more on your brand. Market Differentiation: Emotional ties can help your brand stand out, leading to more frequent purchases. Referral Incentives Boost Advocacy Customer loyalty programs not just nurture emotional connections but also provide opportunities for ReferralCandy to leverage the strength of referrals. By incorporating referral incentives, you encourage satisfied customers to promote your brand to friends and family, greatly lowering customer acquisition costs. Research shows that 75% of customers would switch brands for a better loyalty program, underscoring the importance of advocacy in driving engagement. Customers involved in loyalty programs tend to spend 62% more, highlighting that happy customers are more likely to refer others. Implementing referral bonuses can transform satisfied customers into brand advocates, enhancing word-of-mouth marketing. Moreover, referrals lead to customers with a 37% higher retention rate, showcasing the long-term value of encouraging brand advocacy through loyalty programs. Engaging Brand Experiences Engaging brand experiences are crucial for nurturing strong brand advocacy through loyalty programs, as they create deeper connections between brands and their customers. When you implement these strategies effectively, you can greatly boost customer loyalty and revenue. Here are four key benefits: Increased Spending: 62% of loyalty program members are more likely to spend more on your brand. Positive Word-of-Mouth: Loyal customers enhance your brand reputation by promoting it to others. Sense of Belonging: Exclusive rewards make customers feel valued, enhancing their likelihood to advocate. Faster Revenue Growth: Brands with loyalty programs can achieve up to 2.5 times faster revenue growth compared to those without. The Role of Data in Loyalty Programs As businesses seek to improve their loyalty programs, utilizing data becomes vital for comprehending customer behavior and preferences. Loyalty programs act as data engines, giving you valuable insights into shopping frequency, spending habits, and customer preferences. By gathering this data, you can personalize your marketing strategies and tailor communications, which improves customer satisfaction and engagement. Analyzing the collected data helps identify trends and behaviors, allowing you to optimize rewards and enhance the overall customer experience. Additionally, tracking the effectiveness of your incentives enables you to make necessary adjustments, leading to higher customer retention and increased average order value. Significantly, effective loyalty programs can help your company grow revenue 2.5 times faster than those without them. This statistic highlights the important role that customer data plays in driving sales and profitability, making it indispensable to leverage data effectively in your loyalty initiatives. Seasonal Promotions and Their Impact on Sales Seasonal promotions play a considerable role in driving sales, particularly during off-peak periods when customer activity tends to wane. By implementing these strategies, you can effectively boost revenue and improve customer loyalty. Here are four key benefits: Incentivized Purchases: Offering special rewards or discounts encourages customers to buy more during slower seasons. Increased Loyalty: Double points or exclusive rewards can attract repeat visits and strengthen brand engagement. Higher Spending: Loyal customers typically spend 67% more than new ones, meaning effective promotions can greatly impact your bottom line. Enhanced Brand Visibility: With 80% of American consumers in at least one loyalty program, they’re likely to respond positively to your seasonal offers. Technology’s Role in Modern Loyalty Programs In today’s competitive market, technology plays a crucial role in shaping modern loyalty programs, allowing businesses to effectively track customer engagement and streamline reward systems. Through apps and websites, you can monitor customer activity and tailor rewards, improving their overall experience. Online tools like Facebook and Mailchimp promote participation in your loyalty programs, driving customer retention and satisfaction. The data collected from these programs serves as a valuable resource, offering insights into customer preferences and behaviors, which can inform your targeted marketing strategies. Automation and analytics enable real-time adjustments to rewards and communications, ensuring they align with customer needs. Moreover, improved technological integration simplifies the reward process, making it easier for customers to earn and redeem points. This increased ease eventually boosts their engagement and spending, ensuring your loyalty programs remain effective in retaining customers and driving sales. Best Practices for Designing a Successful Loyalty Program When designing a successful loyalty program, it’s essential to establish clear and straightforward rules for earning rewards, as this clarity improves customer satisfaction and boosts participation rates. Here are some best practices to reflect upon: Personalize the Experience: Use targeted communications and diverse rewards to make customers feel valued and engaged. Incorporate Technology: Implement mobile apps or websites to streamline the reward process, making it easier for customers to track their activity and redeem rewards. Simplify Sign-Up: Reduce complexity during the sign-up process to prevent customer frustration, encouraging more users to join your loyalty program. Analyze Customer Data: Regularly assess the data collected through the program to tailor your offerings and marketing strategies, driving greater retention and increased spending. Frequently Asked Questions How Do Loyalty Programs Benefit Businesses? Loyalty programs benefit businesses by increasing customer retention, which turns occasional buyers into repeat customers. These loyal customers typically spend considerably more, with studies showing they can contribute up to 67% more to your revenue. Furthermore, implementing a loyalty program can accelerate your business growth, as companies with such programs often experience revenue growth that’s 2.5 times faster than those without. What Is a Customer Loyalty Program? A customer loyalty program is a strategic initiative that businesses use to encourage repeat purchases by offering rewards, discounts, or exclusive benefits. These programs aim to build brand loyalty by creating a positive shopping experience. Customers often receive points or perks for their purchases, which can lead to increased spending. Furthermore, businesses gather valuable data on customer preferences, helping them tailor their marketing efforts and improve overall customer satisfaction. What Are the Benefits of Customer Loyalty? Customer loyalty brings several key benefits. First, loyal customers tend to spend more, often increasing your revenue markedly. They’re furthermore more likely to return, boosting your retention rates. Moreover, a strong loyalty program can attract new customers who may switch brands for better rewards. You’ll gain valuable insights into customer behaviors, allowing you to tailor your marketing strategies effectively. What Are the 4 C’s of Customer Loyalty? The 4 C’s of customer loyalty are Commitment, Communication, Consistency, and Customer Satisfaction. Commitment reflects the emotional bond you form with a brand, encouraging repeat purchases. Communication involves personalized messaging that makes you feel valued. Consistency guarantees you receive quality products and services, building trust over time. Finally, Customer Satisfaction is crucial; when you’re satisfied, you’re likely to spend more, reinforcing your loyalty to the brand. Together, these elements strengthen customer relationships. Conclusion In summary, a well-structured customer loyalty program can greatly improve your business’s performance by encouraging repeat purchases and building strong relationships with customers. By focusing on personalization, leveraging data, and employing effective technology, you can create a program that not just retains customers but furthermore increases their lifetime value. In the end, implementing a loyalty program is a strategic move that can drive growth, boost revenue, and improve overall customer satisfaction, making it a crucial component of your business strategy. Image via Google Gemini and ArtSmart This article, "What Is a Customer Loyalty Program Service and How Can It Benefit Your Business?" was first published on Small Business Trends View the full article

Jensen Huang has some pointed words for leaders who blame company layoffs on artificial intelligence. “I think the narrative that connects AI to job loss, for many of the CEOs that are doing it, is just too lazy,” the Nvidia cofounder and CEO said in an interview with Channel NewsAsia. “AI has just arrived. How is it possible they’re already losing jobs? How is it possible that AI became productive and useful only six months ago, and they were somehow laying people off two years ago because of AI? “It doesn’t make any sense,” Huang added. “It was just a way for them to sound smart, and I really hate that.” While Huang didn’t name-drop any specific CEOs or companies, AI-linked layoffs have permeated several industries in recent weeks and months. Standard Chartered CEO Bill Winters received backlash when he announced the company would cut 7,000 jobs over the next four years to replace “lower-value human capital” with tech. Just last week, Meta laid off 10% of its workforce to offset heavy spend on AI initiatives. One report from outplacement and executive coaching firm Challenger, Gray & Christmas found that AI drove 25% of job cuts in March. Still, Huang is not convinced by leaders who blame layoffs entirely on the advent of AI. “I think we’re scaring people, and that’s irresponsible,” he said. “I think we should tell a balanced story, a balanced narrative about the potential of this technology.” Huang isn’t the only one pushing back on the existing narrative. Labor experts have said for months that AI has been used as a scapegoat to justify layoffs that may really be happening for more pedestrian reasons, such as poor profit margins. An in-depth analysis published last October by the Brookings Institution and Yale University’s Budget Lab found that the proportion of jobs that are at high risk of being replaced by AI had remained fairly steady since ChatGPT’s launch in 2022. Either way, corporations are excitedly adopting AI tools to automate tasks and maximize profits. According to a new survey by consulting firm Mercer, 99% of CEOs are prepared for AI-driven layoffs in the short term. Most affected by AI’s impact on the workforce are young workers who are just starting their careers. And a recent report by consulting firm Oliver Wyman found that CEOs who would reduce junior roles in the next year or two doubled to 43% from 17% last year. In the interview, Huang returned to a point he made in past talks and interviews: that people are not going to lose their jobs to AI, but rather to those who know how to better use AI. “I would say to the people who are worried about losing their jobs to AI, to learn AI,” Huang said. “It’s more likely that AI will elevate your job,” he said. “Try to engage [in] it. Don’t be afraid of it. Of course, the industry has to be really thoughtful about building AI in a safe way and a guardrail way and make sure that it’s deployed in a proper way.” As Huang sees it, AI might change the way people work, but it shouldn’t be used as an excuse behind every round of layoffs. And while the rise of AI is creating anxiety among workers, he believes the people who will thrive are those that learn to work with it instead of fearing it. “Everybody has to be part of this,” Huang concluded. View the full article

Remember when Spotify was just for listening to music? It used to be the app for streaming tunes, but in 2026, the app has more of a do-it-all attitude. You can still use it to listen to just about any song you can think of, but you can also listen to podcasts and audiobooks, and DM with friends. (Really, there's an in-app chat function.) Even after launching all of these features, Spotify's quest to capture all of your attention isn't over: The company has announced an effort to get you to listen to magazine articles as well. Spotify's new audio articles feature uses AISpotify announced its new "narrated articles" feature in a press release on Tuesday. According to the company, users now have access to over 650 "long-form" magazine articles to listen to through the app. Spotify says the company's in-house team at Spotify Audiobooks is behind these audio productions, including articles from magazines like The Atlantic, Billboard, GQ, Pitchfork, Rolling Stone, Vanity Fair, and WIRED. While real humans are performing some of these narrations, Spotify is, predictably, using AI to generate audio for the rest. The company told TechCrunch that any portion of an article narrated by AI will be labeled as such, so listeners know whether they're hearing a human or a bot. Articles are included in Premium—at the cost of your listening timeSpotify says all narrated articles are less than two hours long, which is important context, as they count towards Spotify Premium's 15-hour monthly listening time limit. That means if you're a Premium user and you tend to listen to audiobooks as part of your Spotify subscription, these articles will reduce the hours you have to listen to books. If an article takes an hour and a half to listen to, that counts the same as if you listened to 90 minutes of an audiobook. If you run out of time, you'll have to purchase "top-ups" to keep listening. Free users can still listen to articles on Spotify, but they'll have to pay a fee per article: $1.99 for each piece, regardless of length. Other ways to listen to articles without giving money to SpotifyIf you already pay for Spotify and you don't listen to many audiobooks through the service, this new feature might make sense for you—you can listen to quite a few articles within that 15-hour monthly time limit, and it's likely Spotify will only continue to add to its library as time goes on. However, if you use Spotify for free, $1.99 per article will add up quickly. As someone working in digital media, I'm all for supporting journalism, but unless you're using the feature to listen to an article only every now and then, you might end up paying as much as a full subscription to the site that published it would cost. As such, it's worth noting that a simple text-to-speech generator can accomplish the same thing that Spotify's service does here, but for free—assuming you already have access to the article in question. There are a ton of generators to choose from, and chances are good your device has one built in. If you're on a Mac or iPhone, for example, you can highlight any text, choose "Speech" (Mac) or "Speak" (iPhone), and your device will begin reading the text aloud. Depending on the program you're using, the narration may even sound relatively natural, versus the robotic voices you might be used to from text-to-speech generators of old. (Yes, you have generative AI to thank for that.) Using this method would free up those dollars, perhaps to be put toward subscribing to publications directly. Of course, there are ways you can get around a paywall to read many articles for free, but if you can, I encourage you to support digital media you find useful. View the full article

Hands-on approach was viewed as excessive by several colleagues at oil majorView the full article

Google is moving Display campaigns into Demand Gen, changing how advertisers manage GDN inventory, exclusions, reporting, and campaign controls inside Google Ads. The post Google Is Retiring Standalone Display Campaigns In Favor Of Demand Gen appeared first on Search Engine Journal. View the full article