Test and optimize ad creative
ads-creativeskillsetup L2★20
naveedharri/benai-skills ↗Causal-lift measurements
ad-copy-generation-8pp vs no-skill baselinewith-skill 88% · baseline 96%
Measured by running the task with and without this artifact, K=5, graded by deterministic checks — no LLM judging.
What it does
Test creative variations and identify winning ad formats through structured testing
Best for
Performance marketing teams when you need a structured framework for creative testing and fatigue detection to continuously optimize ad performance.
Inputs
- · Ad platform data (Meta, Google, LinkedIn)
- · Creative performance metrics (CPM, CTR, conversion rate)
- · Test results (winning vs losing creatives)
Outputs
- · Creative performance scorecard
- · Testing roadmap (next 5-10 tests)
- · Creative fatigue detection
- · Winner/loser analysis
Requires
- · Ad platform native testing tools
- · Analytics dashboard
Preconditions
- · At least 2 creative variants running in parallel
- · Performance data collection (≥500 impressions per variant)
Failure modes
- · Insufficient sample size to call winner
- · Creative fatigue ignored
- · Testing without clear hypothesis
Trust signals
- · Creative performance scorecard structure
- · Testing roadmap with prioritized hypotheses