incrementality-testing

Design and execute incrementality tests for advertising campaigns.

1|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/Synter-Media-AI/free-skills --skill incrementality-testing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: incrementality-testing
Source: https://github.com/Synter-Media-AI/free-skills/tree/main/skills/incrementality-testing
Command: npx skills add https://github.com/Synter-Media-AI/free-skills --skill incrementality-testing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you accurately measure the true incremental impact of your advertising campaigns, moving beyond simple attribution to understand causation and genuine business lift.

Core Features & Use Cases

  • Design Geo Holdout Tests: Create statistically sound test and control groups based on geographic regions.
  • Run Conversion Lift Studies: Utilize platform-native tools (Meta, Google) for lift measurement.
  • Calculate Statistical Significance: Determine the confidence in your lift measurements.
  • Use Case: You want to know if your new display campaign is actually driving new customers or just capturing demand that would have happened anyway. This Skill guides you through setting up a geo holdout test to find the true incremental conversions and calculate the incremental CPA.

Quick Start

Design a geo holdout test for a display campaign targeting the US market, aiming to measure incremental conversions over 6 weeks.

Frequently Asked Questions about incrementality-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the difference between attribution and incrementality testing?

Incrementality testing measures true ad lift and causation by isolating incremental conversions, moving beyond simple attribution models that only track touchpoints. It reveals genuine business lift by using geo holdout tests to compare exposed and unexposed groups.

How do I design a geo holdout test for my advertising campaigns?

To design a geo holdout test, you create statistically sound test and control groups based on geographic regions. This isolates the true incremental impact of your ads by measuring conversion lift between areas exposed to the campaign and those held out.

Can I run conversion lift studies on Meta and Google?

Yes, you can run conversion lift studies utilizing platform-native tools on Meta and Google. The testing framework supports these platforms to measure true lift, calculate statistical significance, and determine the incremental CPA for your campaigns.

How do I calculate sample size and test duration for a lift test?

Sample size planning and test duration recommendations are calculated using core incrementality concepts and formulas. These calculations ensure your conversion lift study reaches statistical significance and accurately measures true ad lift over the test period.

Does this approach work for measuring incremental CPA on display campaigns?

Yes, incrementality testing is designed to measure if display campaigns drive new customers or capture existing demand. By setting up a geo holdout test, you find true incremental conversions and calculate the resulting incremental CPA.