Google adds cross-campaign testing with new Mix Experiments beta

Google adds cross-campaign testing with new Mix Experiments beta

Google’s Campaign Mix Experiments beta lets advertisers test multiple campaign types and budgets together to find what works best.

Google is rolling out Campaign Mix Experiments (beta), a new testing framework that lets advertisers experiment across multiple campaign types, budgets, and settings within a single, unified experiment.

How it works:

  • Advertisers can create up to five experiment arms, each containing a different mix of campaigns.
  • Campaigns can appear in multiple arms, with traffic split between them.
  • Experiments support Search, Performance Max, Shopping, Demand Gen, Video, and App campaigns (excluding Hotels).
  • Traffic splits can be customized (minimum 1%), with results normalized to the lowest split for fair comparison.

What you can test:

  • Budget allocation across campaign types
  • Account structure, including consolidation vs. fragmentation
  • Bidding strategies, targeting, and feature adoption
  • Cross-channel performance interactions, not just single-campaign lift

Why we care. Instead of testing Search, Performance Max, Demand Gen, or Video campaigns in isolation, advertisers can now see how different campaign types work together — and which mix actually drives the best business results.

Reporting details. Results appear in the Experiment summary and campaign-level reporting, with advertisers able to choose confidence intervals (95%, 80%, or 70%) and primary success metrics like ROAS, CPA, conversions, or conversion value.

Best practices:

  • Keep experiment arms similar, changing only one variable at a time.
  • Align total budgets across arms unless budget is the test itself.
  • Avoid shared budgets and major in-flight changes.
  • Run experiments for at least six to eight weeks to reach statistical reliability.

Between the lines. This is Google acknowledging that modern performance isn’t about winning one campaign — it’s about finding the right mix, especially as automation blurs the lines between channels.

Bottom line. Campaign mix experiments give advertisers a clearer, more realistic way to test how different campaign types and budgets work together — and make smarter decisions about where spend actually delivers incremental value.

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