Performance Max is Google’s flagship campaign type: one budget, all channels, maximum automation. In e-commerce this often works impressively. In industrial B2B we regularly observe the opposite in audits — accounts in which PMax quietly and reliably delivers budget to people who can never become customers.
The core problem: PMax optimises for patterns, not for your target customers
Performance Max decides for itself who sees ads — across Search, Shopping, YouTube, Display and Gmail. The basis is conversion signals and audience patterns. And this is exactly where the B2B trap lies: if your conversion definition is soft (every form counts) and your signals are thin, the algorithm learns the most obvious thing — and in case of doubt that means private consumers, students and job applicants, who click in greater numbers than buyers do.
An example from practice: a manufacturer of loading technology was puzzled by a high volume of leads while order intake stagnated. A look at the search terms and placements revealed it: a substantial part of the PMax budget was running on consumer-oriented searches and app placements. The leads were coming in — just from the wrong people.
PMax is not “bad for B2B”. Unguided, it is dangerous: the campaign type amplifies the quality of your signals — in both directions.
The five levers that make PMax steerable in B2B
1. Conversion hygiene above all else
Check which actions count as primary conversions. Newsletter sign-ups, page views or catalogue downloads belong under secondary — otherwise you train the algorithm for reach instead of for leads. Ideal: qualified leads as the primary signal, enriched via offline conversion import from your CRM.
2. Audience signals that mean B2B
Give PMax explicit hints: customer lists from the CRM, visitors to your product and enquiry pages, custom segments built with the technical terms of your industry. Without these signals the automation guesses — with them it has a direction.
3. Maintain exclusions consistently
Negative keywords at account level (used, private, apprenticeship, build it yourself), placement exclusions for apps and irrelevant YouTube categories, and where available: brand exclusions, so that PMax does not cannibalise your own brand demand.
4. Keep brand strictly out
Without a brand exclusion, PMax preferentially serves searches for your company name — the cheapest conversions, which would have come anyway. The reporting looks brilliant, the new-customer effect is nil. Separating brand from non-brand is not optional in B2B.
5. Measure against the search terms and placement report, not the dashboard
PMax shows you little of its own accord. The reports on search term themes and placements — as limited as they are — are your most honest control instance. Anyone who does not look into them regularly is flying blind.
“The question is not whether automation — but who steers it: you or chance.”
When PMax makes sense in B2B — and when it does not
With clean tracking, hard signals and well-maintained exclusions, PMax can scale in B2B too — especially in technical trade and B2B e-commerce with a product feed. For complex capital goods that require explanation and have a small audience, however, the classic Search campaign with search intent filtering usually remains the more profitable base: more control, clearer measurement, less wasted reach.
- Does your account count soft actions as primary conversions?
- Does your PMax campaign have audience signals from real customer data?
- Do negative lists and placement exclusions exist at account level?
- Is your brand excluded from PMax?
- When did you last check the PMax search terms report?
More than one question answered with “no” or “don’t know”? Then a closer look into the account is worthwhile.
