Attribution, incrementality and tests: AI prompts for marketers

Attribution comparisons, experiment design and test evaluation that respect statistical limits.

4 prompts

AnalyticsIntermediateAnalyses your data
Meta attribution-window comparison (1-day vs 7-day click and view)
Interprets results exported with several attribution windows so you understand how much of reported performance depends on window and view-through credit.
Meta Ads · Any capable chat model (ChatGPT, Claude, Gemini, others)
AnalyticsIntermediateAnalyses your data
Attribution model comparison: why platform, GA4 and backend disagree
Compares channel credit under several attribution views from your table and explains the differences, without declaring a winner.
Any capable chat model (ChatGPT, Claude, Gemini, others) · Google Analytics 4
AnalyticsAdvancedDesigns a test
Incrementality test design: holdout or geo experiment
Designs an incrementality test plan with hypotheses, units, duration decisions and pre-registered success criteria, without inventing sample sizes.
Any capable chat model (ChatGPT, Claude, Gemini, others)
AnalyticsIntermediateAnalyses your data
A/B test result evaluation with statistical guardrails
Interprets an A/B test from raw counts with checks for sample-ratio mismatch, peeking and practical significance, without inventing a significance result.
Any capable chat model (ChatGPT, Claude, Gemini, others) · Google Sheets / Excel