perf-pmax-deep-dive

Evaluating Google Performance Max campaigns requires comparing conversion metrics, brand vs. non-brand performance, and customer acquisition data to identify hidden inefficiencies. This analysis applies numeric decision rules to determine if campaigns are scaling profitably or need adjustment.

Analyzing Performance Max campaign effectiveness requires access to Google Ads, Google Merchant Center, and customer acquisition data. Gathering these data sources enables a comprehensive comparison of conversion metrics and brand versus non-brand performance.

Deciding whether to keep, fix, or kill a Performance Max campaign involves applying numeric decision rules and vetoes to the gathered conversion and customer data. This process returns a clear recommendation to KILL, REFRESH, WATCH, KEEP, or FIX the campaign.

High conversions but low profitability in a Performance Max campaign often stems from hidden inefficiencies in brand versus non-brand performance. Comparing conversion metrics with customer acquisition data uncovers whether the campaign is cannibalizing existing brand traffic.

Analyzing Performance Max campaigns effectively requires Google Merchant Center access alongside Google Ads and customer data. Without these required data sources, the Skill cannot gather the necessary inputs to evaluate campaign effectiveness or apply decision rules.

Separating brand and non-brand performance in Performance Max involves gathering campaign details and comparing conversion metrics across both segments. This in-depth analysis identifies whether campaigns are driving new customer acquisition or simply capturing existing brand demand.