With Churn Buster, you can run A/B tests to optimize your recovery process.

• A single variable should be isolated to test — anything from email content to landing page to campaign timing.
• Because of the volume needed for statistical significance, A/B testing is a Pro feature.

Customer feedback should be the signal whether an A/B test should be conducted.

For example, if your customer support team commonly responds to confusion or frustration around subscriber payment issues, this could point to an effective testing area.

• Customers regularly replying to emails confused about how to fix their payment issue
• Customers wondering if the emails are legit (i.e. actually from your company)
• Your support team incorporating specific messaging, greetings, or references in customer communications that aren't currently used in your templates

A/B tests that often produce clear results

• Sending customers to two different landing pages to see which converts better.
• Running a longer recovery window— e.g. testing a 60-day campaign vs. a 30-day campaign.
• Adding a Last Chance Offer.

A/B tests that are often hit-or-miss

• Drastically changing up email content to see if messaging that is highly branded with benefits statements perform better than default/simpler messaging.
• Changing the sender display name from (Your Company) to (Your Company Customer Support) — Though it doesn't seem like much, a few companies increased recovery rate by over 1-2 percentage points by testing the sender display name.
• Running a new subject line against the default, or
• Testing a full custom HTML template against the default.

Implementation & Timing

Contact the Churn Buster team to explore whether running an A/B test looks feasible or not.

The Churn Buster team sets up the test, monitors for validity, and concludes the test. We can provide you with a way to track the test while it's running if desired.

A/B tests generally take 8-12 weeks to run to completion, though they can take up to 6 months.