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See how much of the result the campaign caused, with the range it could plausibly fall in.
Business example: a donor match offer (Karlan and List) → · Analyst example: a turnout mailing (Gerber, Green and Larimer) →
Data: Dean Karlan and John A. List (2007), Does Price Matter in Charitable Giving?, Harvard Dataverse, doi:10.7910/DVN/27853. Licence: CC0 1.0. Charts by MCP Analytics, computed from this data.
Data: Gerber, Green and Larimer (2008), Yale ISPS, doi:10.60600/YU/CGMWNW. Licence: CC0 1.0. Charts by MCP Analytics, computed from this data.
How many customers did the campaign cause, beyond those who would have converted anyway? Credit versus cause with a range, extra spend per 1,000 contacts, and how big a holdout needs to be.
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MCP Analytics. Randomized incrementality test. Free tool. https://mcpanalytics.ai/free/standard_randomized_incrementality_v2. Accessed [date you used it].
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