October 20, 2026 at 10:00 AM CT
Did Personalization Grow Your Revenue, or Just Move It Around?
One hour on building customer segments that hold up, modeling CLV honestly, and telling real lift from reshuffled revenue.
Your team runs segments in Klaviyo, audiences in Google, lookalikes in Meta. Each reports a win. If you added up every channel's reported lift last quarter, would the total match what landed in the P&L?
That gap starts upstream, in how the segments were built. A segment defined inside a single tool inherits that tool's limits and drifts out of date between campaigns. Andy Warren walks through the alternative: define the segment once in your data warehouse, using order history, purchase cadence, discounts taken, and product categories, then sync that one definition out to email, paid, and your site.
We'll also cover where predictive CLV holds up and where it breaks, and where this whole approach isn't worth the lift. You should leave with the questions to put to your team on Monday.
Then John Kuefler shows how LimeLight runs this in practice. Using the Fleet, our system of AI agents, he walks through live examples of a warehouse-defined segment built once and synced out to email, paid, and the site, so you can see what the workflow looks like when it is actually running.
What You'll Learn
- How to separate incremental lift from revenue your channels simply reshuffled
- What a warehouse-defined segment actually asks of your team and your stack, before you fund it
- Where predictive CLV earns its keep, and where the estimates stop holding
- What your highest-value repeat customers should be seeing in email, paid, and on-site
Who Should Attend
This webinar is built for:
- Ecommerce owners, CMOs, and VPs of marketing who are funding personalization and want to know what it's returning.
