Attribution Model Validation Protocol (QA)

Attribution Model Validation Protocol (QA)

1. 01

   Define the client's business question before touching any model

   Clarify whether the goal is budget allocation, campaign optimization, or ROI reporting. Each question demands a different attribution approach, and mixing them produces misleading numbers.

2. 02

   Inventory all data sources feeding the attribution platform

   List every ad platform, CRM, payment processor, and analytics tool connected. Confirm each source is mapped to the correct client account and that no duplicate or stale integrations remain.

3. 03

   Verify tracking implementation across all touchpoints

   Check that pixels, tags, and server-side events fire correctly on every page and campaign. A single broken tag can undercount a channel by 20% or more, skewing the entire model.

4. 04

   Compare attribution outputs against last-click and raw data

   Pull the same time period through the attribution tool and a simple last-click report. Large discrepancies (over 15%) signal data gaps or model misconfiguration that need investigation.

5. 05

   Run a holdout or incrementality test on one channel

   Pause or reduce spend on a single channel for a defined period, then measure the revenue impact. This validates whether the attribution model's credit aligns with actual incremental performance.

6. 06

   Document the model's methodology and assumptions

   Record which attribution model is in use (e.g., linear, time-decay, data-driven) and any default weights. This transparency becomes a client-facing asset and protects the agency if numbers are questioned.

7. 07

   Schedule a recurring validation review with the client

   Set a quarterly check-in to revisit the model as the client's channel mix and business goals evolve. Attribution is not a set-and-forget exercise; it requires ongoing calibration.