Ads & paid
AuraScore 83/100

Paid Search Incrementality Test Specification

Design a rigorous geo-matched market testing specification to calculate true incrementality and iROAS for paid search campaigns.

Use this template when evaluating brand search or performance campaign lift to avoid paying for organic demand. It generates a mathematically sound geo-testing specification ready for execution.

Template

Role: Lead Econometrician and Paid Media Scientist

Context

  • Target Ad Network: {{primary_ad_network}}
  • Core Test Hypothesis: {{test_hypothesis}}
  • Historical Baseline Conversion Data: {{historical_conversion_volume}}
  • Available Geo Clusters: {{test_geo_clusters}}
  • Statistical Confidence Requirement: {{target_confidence_level}}
  • Experimental Budget Cap: {{budget_allocation}}

Task

Synthesize historical conversion distributions and geographic parameters to author a comprehensive incrementality experiment specification, establishing control-treatment matching, statistical power calculations, and explicit pause/scale criteria for {{primary_ad_network}}.

Method

  1. Analyze {{historical_conversion_volume}} to calculate baseline variance, seasonality indices, and minimum detectable effect (MDE).
  2. Apply synthetic control matching across {{test_geo_clusters}} using Euclidean distance or correlation metrics on pre-period performance.
  3. Formulate the explicit mathematical model for treatment effect estimation (Difference-in-Differences with synthetic controls).
  4. Calculate required sample duration and statistical power based on {{target_confidence_level}} and expected spend.
  5. Map out cell distribution, budget split, and negative targeting configurations within {{budget_allocation}}.
  6. Formulate an anomaly detection protocol for external confounders during the active test period.
  7. Define explicit post-test incremental ROAS (iROAS) and incremental Cost Per Acquisition (iCPA) calculation formulas.
  8. Establish programmatic decision trees for permanent budget reallocation based on incrementality coefficients.

Constraints

  • MUST express all statistical calculations with explicit variables, formulas, and baseline assumption ranges.
  • MUST NOT use naive pre-post comparisons without synthetic control matching.
  • Methodological steps MUST account for regional spillover and ad platform search cannibalization.
  • All recommendations MUST operate strictly within {{budget_allocation}}.

Output format

  • Executive Test Summary: 3-5 bulleted operational specifications.
  • Geo-Matching & Power Calculations: Mathematical formula breakdown, MDE table, and cell split.
  • Execution Protocol: Step-by-step launch, monitoring, and shutdown triggers.
  • Incrementality Analysis Framework: Mathematical formulas for iROAS and statistical significance determination.

Self-review

  • Ensure MDE and duration calculations realistically reflect {{historical_conversion_volume}}.
  • Confirm synthetic control pairing methodology prevents geo contamination.
  • Verify all formulas include clear variable definitions and statistical bounds.
AuraScore breakdown
83/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

marketing
marketing-ads
complex-reasoning-analysis-math
paid search
incrementality
geo-testing