Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Thomas Dobbs

Thomas Dobbs
Data Science Product Manager, KIXEYE

Website

Thomas Dobbs is a data science product manager at KIXEYE, where he is responsible for maintaining and building machine learning models from ideation to full implementation. Thomas also wrote the underlying algorithm for KIXEYE’s offer recommendation engine. His experience spans marketing, user acquisition, finance, and product, and he has spent seven years in the gaming industry. He is an MBA candidate at UC Berkeley’s Haas School of Business.

Sessions

11:00am–11:40am Wednesday, March 27, 2019
Recommendation engines and mobile gaming
Case studies, Strata Business Summit
 Location: 2024
Secondary topics:  Media, Marketing, Advertising
Bysshe Easton (KIXEYE), Thomas Dobbs (KIXEYE)
Average rating: ****.
(4.50, 2 ratings)
As a fully closed model economy, games offer a unique opportunity to use analytics to create unique purchase opportunities for customers. Bysshe Easton and Thomas Dobbs explain how KIXEYE uses machine learning to create personalized offer recommendations for its customers, resulting in significantly increased monetization and retention. Read more.