You work for an agency managing app campaigns for a client. They've achieved strong performance with their existing creative, but the same assets have been used for a long time. How can you keep creative fresh for users while avoiding a fluctuation in results?
Remove the image assets so the campaign utilizes more video assets for a multi-sensory experience.
Replace all the assets at once so they can be distributed evenly.
Replace assets that have a low performance label in the asset report.
Remove the assets and add new ones that follow best practices even more closely.
Explanation
Analysis of Correct Answer(s)
The recommended approach is to replace assets that have a low performance label in the asset report. This is the most effective and least disruptive strategy for refreshing creative in an App campaign.
- Data-Driven Optimization: This method relies on concrete performance data. The asset report explicitly identifies which creatives are not resonating with audiences, allowing you to make informed decisions.
- Maintains Stability: By making incremental changes—swapping out only the worst-performing assets—you avoid shocking the campaign's algorithm. This prevents the campaign from re-entering a volatile learning phase, thus minimizing performance fluctuations.
- Continuous Improvement: This iterative process allows you to continuously test new creative against existing high-performers, ensuring the campaign's creative mix is always being optimized without sacrificing stable results.
Analysis of Incorrect Options
- Replace all the assets at once: This is a high-risk strategy that would force the campaign into a new learning phase, causing the exact performance fluctuation the advertiser wants to avoid.
- Remove the image assets: App campaigns thrive on a diverse portfolio of asset types. Removing an entire category like images limits the campaign's reach and the system's ability to serve the right ad in the right placement.
- Remove the assets and add new ones: This is too drastic. While adding new assets that follow best practices is good, removing all existing ones (including those performing well) is inefficient and would also trigger a disruptive re-learning period.