Rock Your Inbox: AI-powered Email That Stops Churn Before the Encore Ends
Acquiring customers is getting more expensive, but preventing churn doesn't always require a complex predictive model. In this session, Matt Harris, founder and CEO of Dispatch, explores how marketers can use AI to move faster on customer retention, improve lifecycle experiences, and address churn before it happens. You'll learn how teams are using AI and better email production workflows to: ✦ Bring loyalty experiences into transactional and triggered emails instead of keeping loyalty programs siloed ✦ Use live customer data to make email experiences more relevant ✦ Reduce the time required to build and update emails across multiple languages and markets ✦ Use responsive modules and live text to make AI-powered email localization easier to scale ✦ Consolidate lifecycle journeys and use conditional content to personalize messaging across different customer segments ✦ Improve churn-prevention and save flows by making them easier to test, update, and optimize ✦ Use AI-powered email editing to reduce manual HTML work, QA time, and production bottlenecks ✦ Design email for the inbox customers actually use, including dark mode. The takeaway: AI's value for customer retention isn't only predicting who will churn. It can also remove the production bottlenecks that prevent teams from improving onboarding, transactional emails, loyalty experiences, personalization, and save flows in the first place. 00:00 Introduction 01:18 Using AI to Prevent Customer Churn 03:18 Why Retention Matters More Than Ever 04:54 How AI Can Help Fight Churn 07:14 Three Customer Retention Case Studies 07:49 Two Wombats: Loyalty & Transactional Email 13:02 Making Email Experimentation Faster 17:01 Hairburst: AI-Powered Localization at Scale 21:49 Homebase: Using AI for B2B SaaS Retention 24:07 Simplifying Journeys & Churn-Prevention Flows 26:16 Designing Email for Dark Mode 27:34 What to Know About AI Churn Prediction 29:57 6 Ways to Start Improving Retention 31:36 Q&A: Predicting SaaS Churn 32:29 Wrap-Up