Lookalike Audiences
Signal hygiene before scaling lookalike pools
Clean event naming, PDP fidelity checks, and creative QA before you widen lookalike pools.
Inside the module
Scaling fails quietly when upstream signals are fuzzy. Walk through a hygiene sprint: naming audits, PDP consistency checks, and lightweight creative QA that keeps downstream lookalike pools trustworthy.
What you will handle
- Signal audit worksheet with pass or revisit tags
- PDP fidelity checklist for mobile and desktop parity
- Creative QA micro-script under ten minutes
- Lookback window planner with seasonal notes
- Cross-team memo for external reviewers
- Escalation tree when signal drift appears
- Appendix linking to Lookalike seed labs without bloated reach
Outcomes
- Complete a hygiene sprint with dated sign-offs
- Publish a signal drift watchlist for the next 30 days
- Pair each lookalike expansion with a rollback note
Lead steward
Sora Malik
Course director translating audience science into practical seller workflows.
FAQ
Expect spreadsheets and screenshots, not code. Technical stakeholders still benefit from the audit framing.
Only at a high level; deep operational merges belong with your catalog ops team.
Several checklists adapt, but lookalike expansion examples assume at least modest traffic.
Operator notes
The signal audit worksheet caught naming drift before we widened pools. Still getting comfortable with the rollback trigger language.