Evaluating Trial Performance
Metrics to review and benchmarks to use when measuring Slopeside’s performance during your trial.
🎯 Purpose
Understand how to measure results accurately, identify trends, and make confident decisions about scaling.
🧠 Data Analysis Framework
At the end of your 14-day test, review the following:
1. Compare Key Metrics:
Look for patterns — Slopeside audiences often have higher CPMs (due to premium targeting) but outperform in CTR, CVR, and downstream lead quality.
2. Evaluate Down-Funnel Impact:
Beyond CTR, check demo bookings, call completions, or qualified leads. The Slopeside advantage is strongest at the middle and bottom of the funnel.
3. Assess Consistency:
Is performance improving daily? Stable or rising CTR and CVR indicate the AI is learning and optimizing as audience refreshes occur.
🧮 Performance Benchmark
Metric | Average Meta Interest Audience | Typical Slopeside Range |
CTR | 1.5–2.2% | 2.5–4.0% |
CVR | 8–12% | 10–18% |
CPL | $100–$200 | $60–$140 |
Demo Rate | 20–30% | 30–45% |
Interpretation Example: If your CPMs increased slightly but your CVR improved and CPL dropped, your campaign efficiency has improved — even if cost per impression rose.
🗂️ Reporting for Stakeholders
For internal or client reporting:
- Use Meta Ads Manager to export your test data.
- Add annotations explaining that Slopeside audiences are refreshed daily and modeled on real-time intent.
- Highlight improvements in both lead quality and conversion efficiency.
Create a “Performance Log” in your Slopeside dashboard to track each audience’s test history and results.