14/02/2026
Over the past 6 months, I’ve spent £170k on PMax (screenshots above).If you’re running Google Ads PMax and experiencing this — you need to pause:
• Costs fluctuate aggressively
• Scaling budget destroys efficiency
• Conversions look decent, but profit is thin
• The system is “running”, but you don’t understand why
And here’s the uncomfortable truth:
PMax is not a starter. It’s an amplifier.
It will not fix structural problems.
It will amplify the structure you already have.
If your account has:
• Unclear conversion signals
• No strong Search intent foundation
• Inconsistent data volume
• Mixed audience signals
PMax won’t create stability.
It will scale the chaos.
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In this post, I’m sharing a general framework explaining:
• Where PMax actually belongs in the funnel
• Why some accounts get worse “after optimization”
• How to feed the algorithm clean, scalable signals
• When scaling is structurally safe
But let me be clear about something:
I can give you a framework. Copying it blindly guarantees failure.
Because every brand is different.
Different:
• Competitive intensity
• Average order value
• Buying cycle length
• Brand authority
• Conversion journey complexity
• Search demand maturity
For example:
A high-ticket B2B brand and a low-AOV DTC brand cannot structure PMax the same way.
A cold-start brand and an established brand with strong branded search volume should not use the same funnel order.
If you copy someone else’s structure without understanding your own economics and data maturity, the algorithm will optimize for the wrong signals.
That’s why two accounts can use the “same setup” — and produce completely different results.
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This post is not about where to click.
It’s about why the structure works.
Google Ads is not magic.
It’s system design + data quality + business logic.
Understand the structure first.
Then let AI scale it.
