Model Build Plan
Project Plan
A build integrating digital and offline spend. Assumptions documented before the model runs. Geo-holdout validation, confidence ranges, residuals shipped with the output.
Inside the Dynamic Analytics & Backoffice layer of the Dynamic Ad operating system. Run as a wedge, or with the full stack.
Channel mix has outgrown what last-click attribution can explain. Brand, offline, and category-leading spend are doing work the platforms cannot see.
Signals firing the engagement
A statistical marketing mix model integrating digital and offline spend, with documented assumptions, geo-holdout validation, and residuals on the page.
Project Plan
Write access · documented cadence · operator-led
Phase 01 · Intake
Channel inventory, spend history, offline data sources, and external regressors confirmed. Read access provisioned across paid-media platforms, the warehouse, finance, and any offline reporting surfaces in scope.
Phase 02 · Data Audit
Spend, revenue, and external regressors decomposed and reconciled. Data gaps named and closed where possible, residual gaps documented as model boundary conditions.
Phase 03 · Build
Saturation curves, adstock, seasonality, and external regressors specified with documented priors. Model fit on training set, residuals scored.
Phase 04 · Validation
Geo-holdout validation run, residuals reported, confidence ranges signed. Build closes with the Model Build Plan and a live walkthrough.
Integrated scopeEngineered cadenceModel Build Plan on handoff
After the projectSemantic Reporting Stack.Land the model into the operating dashboards. Same assumptions, every operator reads against them.Each is sold standalone or stacks with the others into a single foundational build.