Performance Max management that does not waste your budget on brand.

Performance Max (PMax) is Google's AI-driven campaign type that serves ads across Search, Shopping, Display, YouTube, Gmail, and Maps from a single campaign. Google's machine learning allocates budget to the highest-converting placements automatically. Without specialist management, PMax over-invests in brand terms (which would convert anyway), under-invests in prospecting, and produces opaque asset group performance that is hard to diagnose. We manage PMax with structured asset groups per persona, exclusion lists that prevent brand cannibalisation, custom audience signals from your CRM, and weekly performance reviews.

Brand cannibalisation is the most common Performance Max problem. PMax will happily spend budget on branded queries that would have converted organically or through your existing brand campaign, inflating apparent ROAS while delivering no incremental revenue. We prevent this with: brand exclusion lists applied at campaign level, separate brand campaigns with higher priority bidding, search term reports reviewed weekly to catch new brand variants, and incrementality testing to measure true PMax contribution. If PMax is cannibalising your brand, we will show you the data and fix it.

Asset group structure is the primary lever of control in Performance Max. A single asset group with all your creative assets gives Google's algorithm maximum flexibility but zero strategic direction. We build separate asset groups for each buyer persona, product line, and funnel stage. Each asset group has its own audience signals, headlines, descriptions, images, and videos aligned to that specific intent. This gives Google the signals it needs to find the right audience while maintaining the strategic segmentation that makes performance interpretable and improvable.

Google's PMax reporting is deliberately opaque at the placement and search term level. We work around this with: search term insights reports (available weekly, showing top query themes), asset group performance reports (identifying which creative combinations drive conversions), audience insights (showing which customer segments PMax is finding), and offline conversion imports from your CRM (so we can see which PMax-attributed leads actually became pipeline). We also run PMax alongside Search campaigns with shared conversion tracking to measure incrementality.

Performance Max should complement Search campaigns, not replace them. Search campaigns give you precise keyword control, exact match targeting, and transparent search term reporting that PMax cannot match for high-intent commercial queries. PMax adds value for discovery and cross-channel reach. The optimal structure: Search campaigns for your highest-intent, highest-converting keywords with exact and phrase match; PMax for prospecting, shopping, and cross-channel presence. Budget allocation between them should be based on CPA and pipeline data, not assumptions.

Google's PMax learning phase typically requires 6-8 weeks and 50+ conversions per campaign to fully optimize. During this period, CPAs are higher and performance is less predictable. We manage the learning phase by: starting with a conservative budget to limit wasted spend during learning, using historical conversion data from existing campaigns as audience signals, setting up offline conversion imports before launch so the algorithm learns from quality signals from day one, and reviewing asset group performance weekly to remove underperforming creative early.

Google AI Mode is restructuring the search results page, with AI-generated summaries occupying the top of the page for a growing proportion of commercial queries. For Performance Max, this means the paid positions that appear within or alongside AI Mode summaries carry a premium and require tighter quality score management. Brands that build AEO citation authority appear in the AI Mode summary itself, creating a combined paid-plus-citation presence. We build both simultaneously: PMax for paid visibility and AEO content strategy for organic AI citation.

Yes, but it requires careful conversion setup. PMax optimizes for the conversion signals you give it. For B2B with long sales cycles, this means importing offline conversions from your CRM (qualified leads, opportunities, closed deals) rather than optimizing for form fills alone. We set up enhanced conversions and offline conversion imports before launching PMax, so the algorithm learns from your actual business outcomes rather than top-of-funnel proxies. This typically takes 2-3 weeks to configure correctly and is the single most important setup step for B2B PMax.

Performance Max needs enough budget to generate 50+ conversions per month to fully exit the learning phase and optimize effectively. For most B2B companies in the UK, this means a minimum of £3,000-£5,000 per month in PMax spend, depending on your CPA target and market competitiveness. Below this threshold, the algorithm does not accumulate enough conversion signals to optimize, and you end up paying learning-phase CPAs indefinitely. We assess your specific market and deal economics before recommending a starting budget.

We report on PMax with four metrics that tie directly to business outcomes: cost per qualified lead (not just any lead), pipeline contribution (how much revenue entered the funnel from PMax-attributed traffic), incrementality (what PMax adds beyond organic and brand search), and ROAS by asset group (which creative combinations and audience segments drive the best returns). We do not report on impressions, clicks, or CTR as primary metrics. Every number in our reports answers the question: is this generating pipeline?