Pete Bowen talks about why Google Ads is not just about clicks

On PPC Live The Podcast, I spoke with Peter Bowen, a Google Ads specialist with nearly 20 years of experience and a strong focus on B2B lead generation.

Pete shared two major lessons from his career: always check the basics, and never assume the systems around your ads are working just because the campaigns look fine.

The currency mistake that cost 10 times the budget

Pete Bowen shared an early mistake where a South African client’s account was set up in the UK, defaulting the currency to pounds instead of rand. That simple oversight led to spending roughly 10 times the intended budget, delivering great results at first — but ultimately setting unrealistic expectations and losing the client.

Why checklists protect PPC teams

The takeaway from that mistake was to formalise learning into process. Adding something as simple as a currency check to a setup checklist ensures that once a mistake is made, it doesn’t happen again — turning painful lessons into repeatable safeguards.

The bigger problem: system decay

Beyond setup errors, Pete highlighted a more subtle but common issue he calls “system decay” — where the infrastructure connecting ads, tracking tools, CRMs and sales processes gradually breaks down without anyone noticing.

Why conversion data failures hurt performance

When conversion data stops flowing properly, Google’s algorithms lose the feedback they rely on to optimise. This can lead to reduced spend, poor performance or campaigns that suddenly stop delivering — even if nothing appears wrong inside the platform.

PPC managers need to look beyond the interface

One of the biggest mistakes advertisers make is focusing only on what happens inside Google Ads. Strong performance depends on the entire journey, from click to conversion to revenue, and any break in that chain can undermine results.

What to do when conversion tracking breaks

When tracking fails, the priority is to fix the root issue quickly and, where possible, use data exclusions to prevent bad data from influencing optimisation. Longer term, building monitoring systems that flag issues early is essential to avoid repeat problems.

The danger of optimising for clicks

Pete also pointed to a common but damaging mistake: optimising campaigns for clicks rather than outcomes. Without proper conversion tracking, advertisers can end up driving large volumes of traffic that never turn into leads or sales.

Why Performance Max needs strong tracking

Automation like Performance Max can amplify this issue, as it will follow whatever signals it receives. Without accurate conversion data, it can scale irrelevant traffic quickly, making strong tracking a prerequisite before leaning into automation.

Why bid strategies need guardrails

Google’s bidding systems are powerful but literal — they optimise toward whatever you define as success. That means advertisers need clear goals, reliable data and sensible guardrails, such as CPC limits, to avoid extreme or inefficient outcomes.

Testing AI features carefully

With newer tools like AI Max, the risk isn’t testing too early — it’s testing without a clear definition of success. Metrics like impressions and clicks are not enough; advertisers need to measure impact on qualified leads, sales and revenue.

The problem with “always be testing”

Peter also challenged the idea that everything should be constantly tested. Many accounts simply don’t have enough data to make small tests meaningful, meaning time is often better spent improving fundamentals rather than chasing marginal gains.

The key takeaway

The overarching lesson is straightforward: mistakes are part of the process, but only if they lead to better systems. Every error should result in a checklist, a monitoring process or a safeguard — ensuring it doesn’t happen again.

View the full article