A/B Testing & Experiments
Optimize your subscription offerings by running data-driven experiments.
Revenue Uplift
$12.5k
Generated from won tests
Test Win Rate
64%
Winning variants deployed
Total Tests Run
18
Across all product areas
Active Hypotheses
4
Currently being validated
Active A/B Tests
Monitor your ongoing experiments and confidence levels.
| Test Name | Strategic Goal | Confidence | Health | Status |
|---|---|---|---|---|
Pro Plan Price Test $199 vs $249 variants | Revenue Expansion | 82% | 99% | Running |
Past Tests
A log of completed experiments and their outcomes.
| Test Name | Goal Alignment | Winner | Impact | Deployed |
|---|---|---|---|---|
| Trial Length Test | Conversion Lift | 14-Day Trial | +5% Conversion | May 10, 2024 |
Pro Plan Price Test
Flag Synced
Strategic Alignment: Revenue Expansion
Variant A (Control)
2.5%
Errors: 0.2Latency: 120
Variant B
2.8%
Errors: 0.3Latency: 130
Statistical Confidence98%
Hypothesis
"Customers who receive clearer premium value framing will accept a higher Pro plan price without meaningful conversion loss."
AI Decision RecommendationDeploy Variant B
The price elasticity for the Pro plan is lower than expected. Customers perceive enough value to justify the higher price point. Deploying Variant B could lead to an estimated $12,500 in additional annual revenue.
Next Logical Step
Test bundling premium support with the $249 plan to see if it can further increase conversion or LTV.