Lilly Tech Systems
Advanced
AI Audience Targeting Best Practices
Building an effective AI audience targeting program requires strategic frameworks, rigorous testing methodology, ethical considerations, and cross-platform coordination.
Audience Testing Framework
- Hypothesis First: Define what you expect each audience to deliver before testing
- Isolate Variables: Test one audience change at a time against a control group
- Sufficient Scale: Ensure each audience has enough budget to reach statistical significance
- Measure Incrementality: Use holdout tests to measure true incremental lift from targeting
- Document Learnings: Build an audience playbook with test results and proven strategies
Key Insight: The most common mistake is audience overlap. When multiple audiences target the same users, you compete against yourself in auctions and cannot accurately attribute performance.
Ethical Targeting Principles
- Avoid Discrimination: Do not exclude protected groups from housing, employment, or credit advertising
- Transparency: Be clear about data collection and use in privacy policies and ad disclosures
- Data Minimization: Collect only the data you need for targeting, not everything you can
- Consent First: Ensure all data used for targeting was collected with proper consent
- Audit Regularly: Review audience compositions for unintentional bias or discriminatory patterns
Cross-Platform Audience Management
| Challenge | Solution |
|---|---|
| Audience Fragmentation | Use a CDP to maintain unified audience definitions across platforms |
| Inconsistent Taxonomy | Create a shared naming convention for audiences across all channels |
| Overlap Management | Use exclusion lists to prevent audience overlap within and across platforms |
| Performance Attribution | Implement cross-platform measurement to understand audience-level ROAS |
Building an Audience-First Organization
Central Audience Team
Dedicate resources to audience strategy, data management, and cross-team knowledge sharing.
Audience Dashboard
Build dashboards showing audience composition, performance, overlap, and growth trends across all platforms.
Knowledge Base
Maintain a shared audience playbook with segment profiles, test results, and creative recommendations per audience.
Continuous Testing
Establish a quarterly testing cadence for new audience strategies, creative-audience combinations, and platform features.