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Product Updates

  • Release Notes

Getting Started Guide

  • Getting Started Guide

Managing Experiences

  • Getting to know the Experience Manager

Reporting

  • Reporting Overview

Chargebee Billing Integration

  • Chargebee Billing Integration Features

Settings and Installation

  • Navigating the Chargebee Retention Settings Page

Integrations

  • Integrations Overview

Starter Churn Insights

  • Starter Churn Insights

Retention Best Practices

  • Testing in Chargebee Retention
    • Exploring Chargebee Retention Use Cases
    • Your First Chargebee Retention Experiment
    • Creating a Random Offer Test
    • Targeted Offer Tests within Audiences
    • A/B Testing in Chargebee Retention
    • Chargebee Retention Offer Library
    • Creating the Perfect Offer
    • Using Targeted Reason Based Offers
    • Leveraging Offer Placement to Drive Deflection
    • Using the Rules Editor to create an Audience
    • Understanding Properties and Operators in Audience Creation
    • The Chargebee Retention Testing Methodology
    • Frequently Asked Questions

Security

  • Chargebee Retention Security Overview
  1. Retention
  3. Retention Best Practices
  5. Testing in Chargebee Retention
  6. The Chargebee Retention Testing Methodology
Proactively retain, expand, and grow revenue with Chargebee Growth - the next evolution of Chargebee Retention.Built on top of Chargebee Billing, Growth empowers you to design, experiment, and deploy monetization strategies not just at the moment of cancel but across the entire subscriber lifecycle.Go through ourdocumentationto know more.
  1. Retention
  3. Retention Best Practices
  5. Testing in Chargebee Retention
  6. The Chargebee Retention Testing Methodology

The Chargebee Retention Testing Methodology

To optimize Chargebee Retention's performance, we'll run a series of randomized tests designed to ensure your Chargebee Retention Offers save the most customers from canceling. During testing we look at and test performance in three ways: Offer Calibration, Audience Discovery, and Page Optimization.

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Offer Calibration

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In this phase we aim to discover winning offer combinations by randomly presenting users with a set of offers to determine which offers have the highest lift over the baseline. In the event that there is no clear winning offer combination, we'll shuffle the Offers and repeat.

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Once we have a winner, we'll run additional experiments with micro-targeting to compare the winning Offer paired with Reasons.

Audience Discovery

Pulling information about your customers in via the Chargebee Retention JS snippet, we'll identify trends in customer groups by things like lifetime value, how long they've been a customer, activity, lead source, or even custom attributes. As trends emerge, we'll define them into customer groups, and test and target Offers against different audiences to maximize customer's saved.

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To continue testing, we'll pair audiences and Reasons with Offers to identify opportunities to further generate lift. In this phase we are looking to identify the combo of which Audiences work with the best Offer.

Page Optimization

We'll also test Offer location. We'll perform tests with presenting Offers as pop-up modals when they land on the Chargebee Retention Page, presenting Offers once Reasons are selected, showcasing Offers at the top of the page, and presenting Offers to your customers after the final Cancel button is selected.

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We're happy to run tests with you to help optimize your Offers at any time! Contact Us and we'll devise a series of tests to save the most customers we can.

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