Is This Missing From Your Search Strategy?
– You can’t game Google. The next search advantage will come from better commercial feedback.
Modern Search Strategy Requires Commercial Expertise
Search systems are becoming more automated and AI-driven. We explored some of the broader implications of that recently in our piece on the evolution of AI-driven search and why attention alone is no longer enough.
But there’s another shift happening underneath all of this. Many of the old operational advantages inside search have weakened or disappeared.
Google has spent the better part of a decade simplifying and automating search systems through broader match types, automated bidding and Performance Max. That brought scale and efficiency but also reduced visibility and control.
As a result, a lot of the operational side of search now starts to feel increasingly standardised. It can feel like “search is what it is” and “everyone does search the same”. That’s partly true.
But the next advantage in search isn’t really inside the auction mechanics themselves anymore.
It sits in:
- what happens before the search
- what information gets fed into optimisation systems
- how commercial value gets weighted
- what gets suppressed
- and what happens after the conversion event
We call this: “Negative Intelligence”.
Negative intelligence is the discipline of identifying what doesn’t create commercial value and feeding that information back into your search program so optimisation systems stop chasing more of it.
– James McDonald, Managing Director, Audience Group
Modern search expertise requires understanding customer quality, negative intelligence and commercial value better than competitors do, then using that understanding to guide search strategy.
Search platforms encourage advertisers to feed more commercial data back into optimisation systems. In many ways, that makes sense. Better data can improve optimisation outcomes.
But it also changes where competitive advantage comes from. If everyone feeds the same positive signals into the system, differentiation narrows.
There was a time when sophisticated search operators could create meaningful advantage through query nuance, tighter match control, device-level insights, auction specificity and informational asymmetry.
Much of that granularity has now either disappeared, broadened or been absorbed into automation.
You can’t really manipulate the auction to win anymore.
And honestly, if your search strategy involves trying to fight the platform mechanically, Google will usually win.
New Search Strategy: Move Back from the Auction to Win.
Every time someone searches on Google, advertisers effectively enter a live competition to appear for that search. The old advantage was trying to outmanoeuvre the auction itself. The emerging advantage is deciding which searches are actually worth competing for in the first place.
Commercial intelligence is not simply knowing which searches convert. It’s understanding which demand consistently creates profitable business outcomes, and which doesn’t.
Commercial intelligence comes from understanding what has and hasn’t worked before and which customers actually create value. It also means recognising which search strategies consistently lead nowhere, and which acquisition pathways quietly damage profitability.
In order for that understanding to guide your approach to search, you need:
- better first-party data strategy
- better commercial signal quality
- smarter suppression
- stronger downstream business understanding
- more commercially intelligent participation
The Industry Became Very Good At Teaching Platforms What Success Looks Like.
It’s time to get good at Negative Intelligence.
Most performance systems are exceptionally good at scaling whatever signals they receive most consistently. That sounds obvious, but many organisations still feed platforms signals tied to relatively early-stage conversion events like leads, enquiries, form fills, booked calls, downloads, purchases or CRM uploads.
And the platform responds exactly as designed: Great, I’ll get you more of those.
The problem is that not every conversion deserves equal optimisation weight.
Some customers churn quickly or never progress, all while absorbing operational resources. Maybe they settle at low value or become commercially unviable. Some even damage margin quality downstream.
Yet unless directed otherwise, optimisation systems may still classify those events as success. That creates an important commercial gap.
The industry became very good at teaching platforms what apparent success looks like. Far fewer organisations built structured feedback around where value ultimately fails to materialise.
That is where the Negative Intelligence tactic comes into play.
“How do we win more auctions?” is not the right question.
You need your partners to have the search expertise to answer: “Which auctions should we avoid entirely?” and “Which searches are actually worth paying to win?”
The real secret sauce for our clients is identifying auctions they should never have been in in the first place.
– by Aimee Gossage, Head of Investment, Audience Group
