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AI agent for growth marketers

Creative Test Learning Agent

Creative test conclusions that the setup actually supports.

Creative Test Learning Agent: what goes in, what the agent does and what you get

What it does

Creative tests often produce conclusions that the setup cannot support, for example when variants ran on different audiences or at different times. When a test ends, this agent first checks whether the variants were comparable in audience, timing, budget and placement. If they were not, it limits what can be concluded and drafts a better follow-up design. It then analyzes slices, such as device, audience and week, to separate the effect of the creative from other factors. It writes learning notes that say what is known, what is not, and why. The team decides on new tests and budgets. Edge case: variant A ran mostly on a retargeting audience, so its win cannot be credited to the creative.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Creative test ends 2 USES A TOOL Pull results and delivery data 3 USES A TOOL Check test comparability 4 CHECKS THE RESULT Were variants comparable in audience and timing? If not: limit conclusions and design a follow-up. Backto step 3. 5 USES A TOOL Analyze diagnostic slices 6 DOES Write learning notes 7 YOU APPROVE Marketing lead approves follow-up tests 8 RESULT Creative test review
Read the steps as a list
  1. Creative test ends
  2. Pull results and delivery data
  3. Check test comparability
  4. Were variants comparable in audience and timing?If not: limit conclusions and design a follow-up. Back to step 3.
  5. Analyze diagnostic slices
  6. Write learning notes
  7. Marketing lead approves follow-up testsThe agent waits here for your OK.
  8. Creative test review

How it decides

It limits conclusions when confounders exist.

  • Confounders limit what can be concluded.
  • Slices below the minimum sample are reported, not used.
  • Any new test or budget change needs approval.

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Comparability factors to check (audience, timing, budget, placement)
  • Minimum sample size per slice (default 5,000 impressions)
  • Format of learning notes
  • Who approves follow-up tests

What keeps you in control

It always asks you first

  • Launching experiments
  • Budget decisions

Hard limits

  • No overclaiming.

It stops when

  • Done: notes ready.

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensA two-week video test ends on 30 September. Variant A shows a 2.1% click rate versus 1.4% for B. The comparability check fails: 70% of A's impressions went to retargeting audiences. The agent limits the conclusion and analyzes cold-audience slices only, where the rates are 1.5% and 1.4%. It writes notes and a follow-up design with matched audiences. The marketing lead approves the follow-up test.

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