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Release notes byAnnounceKit

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New
a month ago

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.