AI-assisted marketing decisions & measurement
Keep campaign automation accountable by separating platform-reported signals from business outcomes, documenting decisions, and setting human review and rollback rules.
When to use it
Use when AI or platform automation recommends budgets, audiences, bids, creative, lead scoring, or campaign changes.
What you need
- Business objective and the actual downstream outcome that matters
- Current conversion definitions, data sources, attribution settings, unit economics, and known limitations
- Change permissions, budget guardrails, human owner, and rollback criteria
Workflow
- 01
Define the decision
State what the system may recommend or change and what remains human-approved.
- 02
Trace the measurement chain
Map event → platform receipt → attribution → qualified outcome → revenue or contribution; do not treat these as interchangeable.
- 03
Set decision guardrails
Specify allowable budget movement, exclusions, frequency, audience or creative constraints, and approval thresholds.
- 04
Check data quality
Validate event meaning, deduplication, time zone, currency, consent, delayed outcomes, and CRM reconciliation before interpreting results.
- 05
Evaluate the recommendation
Compare against a relevant baseline or controlled test where feasible; note confounders and uncertainty rather than claiming causality.
- 06
Release with rollback
Use staged changes, named owner, monitoring window, stop conditions, and a documented way to restore the prior state.
- 07
Review the business result
Reconcile qualified leads, cancellations, returns, and realized contribution; feed verified learning back into the next decision.
Output
A decision log, measurement map, guardrail and rollback plan, experiment or comparison note, and reconciled business outcome.
Boundaries
Platform dashboards and model recommendations are not independent proof of incremental or profitable business impact.
How it fits existing work
Extends existing measurement and incrementality playbooks with an explicit governance layer for AI recommendations, automation permissions, and rollback.