TL;DR

Most paid search accounts spend 30-40% of budget on intent that will never convert. The fix isn't a clever bidding tweak - it's a structural rebuild that separates campaigns by intent stage, isolates brand traffic, and bids by margin. Here's the diagnostic we run.

If we audit ten Google Ads accounts in a row, eight of them have the same problem. It's not a creative problem. It's not a tracking problem. It's not even really a bidding problem. It's that the account architecture mixes intent stages, and the algorithm has been quietly optimising the wrong half of the spend for months.

This piece is the diagnostic we walk through whenever we open an account for the first time. None of it is sophisticated - but the cumulative effect is large enough that it's usually the first thing we tackle in any new engagement.

What "intent waste" actually means

Every search query carries a different stage of intent:

  • Brand - someone who's already decided you're who they want.
  • Direct generic - someone who knows what they want, doesn't know who from yet.
  • Discovery generic - someone exploring the category, weeks or months from purchase.
  • Adjacent - someone solving a related problem who might convert if reframed.
  • Off-intent - someone whose query overlaps with yours but who'll never become a customer.

Healthy paid search accounts treat these as fundamentally different products. They sit in different campaigns, with different bid strategies, different ads, different landing pages, and different success metrics. Unhealthy accounts mix them together.

When you mix them, two things go wrong simultaneously. First, the account-level smart bidding learns to optimise for whichever intent has the highest volume of conversions - usually brand, because brand always converts well. Second, the discovery and adjacent intents - which actually grow the business - get systematically under-bid, because the model can see they convert worse than brand and adjusts accordingly.

The result: the account looks like it's performing well on the dashboard, but in reality the budget that should be going to new customer acquisition is being quietly shifted toward harvesting customers you already had.

The diagnostic, step by step

1. Pull a search-terms report and tag every query by intent

The first thing we do, on every audit, is export the last 90 days of search terms with cost, conversions, and revenue. Then we tag each query manually into one of the five buckets above. This takes a couple of hours per account. It is unglamorous. It is also the single most valuable analysis you can do.

What you'll typically find: between 25% and 45% of total spend is going to off-intent or pure-brand queries. Off-intent should be eliminated; pure-brand should be its own campaign on a much lower bid strategy.

2. Check for brand cannibalisation in Performance Max

If the account runs Performance Max alongside Search, look at the brand share in PMax. If you've not explicitly added brand as an account-level negative keyword (which you can now do with the brand exclusion list), PMax will eat your brand traffic and report it as PMax success. The numbers look great. The actual incremental contribution is close to zero.

The fix is simple - add the brand exclusion list to PMax - but it's worth then checking what happens to PMax's reported ROAS once brand is excluded. We've seen it drop by 60-80% in some accounts.

3. Look at the bid strategy by campaign type

Smart bidding is excellent when it has a clear, narrow optimisation goal. It struggles when you give it ten different intent stages and ask it to figure out the value of each.

The structural fix:

  1. Brand campaigns on a manual or low-target Max Conversions strategy.
  2. Direct generic on Target ROAS, with a target tuned to your actual CAC ceiling.
  3. Discovery generic on Maximise Conversions with a budget cap, optimised for top-of-funnel events.
  4. Adjacent and exploration as separate experiments, never folded into core campaigns.

4. Audit your conversion definitions

Smart bidding is only as good as the conversion signal you give it. If you're optimising on "form fill", and 60% of form fills don't become qualified leads, the algorithm is being trained to find the people most likely to fill out a form - not the people most likely to become customers.

Two fixes here:

  • Offline conversion uploads. Pipe lead-quality scoring back from your CRM as offline conversions. Within 4-6 weeks, the platforms will have learned to optimise for qualified leads instead of raw submissions.
  • Value-based bidding. If you can attach a real revenue value to conversions (or even a proxy value based on lead score), Target ROAS becomes meaningfully better than Target CPA.

What the rebuild looks like in practice

On every account we've taken through this process, the same thing happens. Total spend stays roughly flat. Total conversions usually go up by 15-30%. New customer acquisition - which is what most growing businesses actually need - typically goes up by 40-80%, because the budget that was being absorbed by brand and off-intent is now reaching the discovery and direct generic queries that bring in new buyers.

The reporting also gets clearer. Once campaigns are separated by intent, you can finally answer the questions that matter: how much are we spending on new customer acquisition vs. retention? What's our cost per incremental conversion, vs. the platform's reported number? Where do we have headroom to scale, and where would more spend be wasted?

The unglamorous truth

The fix here isn't a clever new bidding strategy or an AI tool. It's an afternoon of manual search-term tagging, a structural campaign rebuild, and the discipline to bid by intent stage instead of by lazy account-level averages.

What to do this week

Even before any restructuring, three things you can do right now to start surfacing the problem:

  • Export the last 90 days of search terms. Tag the top 100 by spend into the five intent buckets. The shape of the spend will tell you a lot.
  • If you're running PMax, check whether brand is excluded. If it isn't, add the exclusion list and watch the reported ROAS over the next two weeks.
  • Check your conversion definitions. If you're optimising on a top-of-funnel event (form fill, sign-up), find out what percentage of those become real customers - and whether the platforms know.

None of this requires new tooling. It requires honesty about what the numbers are telling you, and discipline to act on it.


If you'd like us to run this diagnostic on your account, that's exactly what the strategic review is for. We'll do the search-term tagging, the structural audit, and the rebuild plan. You'll walk away with a clear view of where the leverage is - whether you choose to work with us next or not.

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