Attribution Truth Audit and Incrementality Pilot (10-15 days)
A fixed-scope engagement that reconciles a client's last-click reporting against a multi-touch model and one incrementality test, so the agency can defend budget decisions with evidence instead of platform dashboards. It productizes the measurement layer that sits underneath every retainer renewal conversation. Time: 10-15 days.
By InnovaAI ResearchPublished
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Attribution Truth Audit and Incrementality Pilot (10-15 days)
A fixed-scope engagement that reconciles a client's last-click reporting against a multi-touch model and one incrementality test, so the agency can defend budget decisions with evidence instead of platform dashboards. It productizes the measurement layer that sits underneath every retainer renewal conversation.
- Read access to ad platforms, analytics, and the client CRM or payment processor
- A named client-side owner who can approve test design and budget holds
- At least 90 days of historical spend and conversion data in one exportable format
- Agreement on the single revenue event that counts as a conversion for the pilot
- Written scope confirming the agency does not touch live campaign budgets during the audit window
- 1.Kickoff with the client owner to lock the revenue event and the decision the audit must inform
- 2.Inventory every data source that touches the customer journey and note its refresh cadence
- 3.Document the current reporting stack and who consumes each dashboard
- 1.Pull 90 days of spend, click, and conversion exports from each channel
- 2.Map tracking gaps between ad platforms, the site, and the CRM
- 3.Flag duplicate conversion events and bot traffic before any modeling starts
- 1.Reconcile platform-reported conversions against the client's source of truth
- 2.Quantify the variance per channel in a single table
- 3.Circulate the variance table to the client owner for correction
- 1.Configure the chosen platform's data connectors and identity resolution rules
- 2.Set the attribution window and model type with the client owner present
- 3.Record every modeling assumption in a versioned assumptions log
- 1.Run the multi-touch model across the full history
- 2.Compare channel credit under first-touch, last-touch, and position-based views
- 3.Identify the three channels where credit shifts the most between models
- 1.Design one geo or holdout incrementality test around the highest-variance channel
- 2.Size the test for statistical power given the client's traffic volume
- 3.Get written sign-off on the test budget and the holdout geography
- 1.Launch the incrementality test and confirm clean control and treatment splits
- 2.Set up daily monitoring so the test can be stopped if tracking breaks
- 3.Brief the client's media team on what must not change during the test window
- 1.Draft the reallocation scenario showing budget moved from low-incrementality to high-incrementality channels
- 2.Model the revenue impact at three spend levels
- 3.Pressure-test the scenario against the client's margin and fulfillment constraints
- 1.Read out interim test results and check for contamination
- 2.Adjust the model if the test contradicts the multi-touch output
- 3.Document the contradiction rather than smoothing it over
- 1.Build the client-facing measurement narrative with methodology shown in plain language
- 2.Prepare a one-page budget recommendation with the confidence level stated
- 3.Rehearse the readout with an internal reviewer who did not build the model
- 1.Present findings to the client's marketing and finance stakeholders
- 2.Walk through the assumptions log and invite challenge on each one
- 3.Agree the next measurement milestone and who owns it
- 1.Hand over the dashboard, assumptions log, and test results in the client's own workspace
- 2.Train two client staff on reading the model without agency support
- 3.Close the engagement with a written methodology appendix the client can share internally
The agency charges for a measurement verdict, not for dashboard hours, because the output changes where six and seven figure media budgets go. Once the model and test harness exist, the same infrastructure supports every quarterly budget review, so the second and third engagements carry 60-70% gross margin with minimal new setup. It also converts a soft renewal conversation into a numbers conversation, which is the cheapest client retention mechanism an agency has.
- Channel variance report reconciling platform-reported conversions against the client's source of truth
- Multi-touch attribution model with a written assumptions log covering windows, identity rules, and exclusions
- One completed incrementality test with control and treatment results and a stated confidence level
- Budget reallocation scenario modeled at three spend levels with projected revenue impact
- Client-facing methodology appendix and a trained internal owner on the client side
The client's finance and marketing leads have signed off on a reallocation decision that cites the incrementality test result and the documented model assumptions, and two client staff can independently read the dashboard without agency help.