Name: Decoding customer value with Causal ML
Start: 2026-05-27T15:00:00+0200
End: 2026-05-27T15:30:00+0200

Wednesday May 27, 2026 15:00 - 15:30 CEST

Limited Capacity filling up

Most retail models fail by confusing correlation with causality. High-value customers might create more projects, but does creating a project actually increase their value? This presentation showcases the Adeo XP Award-winning "Drivers of LTV" project, which isolated the true incremental impact of driver—from life events to digital interactions—to build a high-precision business simulator.

Speakers

Jiqiong Qiu

Data Scientist, ADEO Services

Jiqiong Qiu is an experienced data science professional who currently serves as a Lead Data Scientist at a customer commerce platform. With a strong background in leveraging data-driven insights to enhance customer experiences and drive business growth, Jiqiong specializes in developing... Read More →

Maxence Debert

Product Owner, ADEO Services / Hubvisory

Product Owner of the Client Scoring Platform (ADEO-CCDP-CKA), where I’ve spent the past two years building this AI/ML product that turns customer data into actionable scores and segments for client knowledge and marketing activation.As a consultant at Hubvisory, I enjoy shaping... Read More →