Run A/B Experiments to Optimize Your Cancellation Flows Page
We are excited to introduce A/B experiments for cancellation offers! Brands can now test and optimize their cancellation strategies to determine the most effective offers for retaining subscribers.
Key Features:
- Test Variations: Gift vs. Discount, Discount A vs. Discount B, Gift A vs. Gift B.
- Side-by-side Configuration & Preview: Easily configure and compare offer content for both control (A) and variant (B) groups.
- Audience Split & Random Assignment: Set percentage splits and ensure consistent exposure throughout the experiment.
- Winning Criteria: Define the minimum delta (e.g., 20%) in save rates to declare a winning variant.
Experiment Tracking:
- Track key metrics like save rates, attempts, and trends in Loop Admin > Tools and Apps> Experiments.
- Export raw data to analyze experiment results in detail.
Experiment Completion:
- Auto-completes once set conditions (days or attempts) are met.
- Post-completion, control (A) content will be shown to all eligible subscribers unless a variant is selected.
Start testing your offers today and find the best strategy to keep your subscribers engaged!
Plan availability: Loop Pro plan only
🔧 To learn more about how to set up A/B experiment, check out our step-by-step guide to get started.