addressalign-toparrow-leftarrow-rightbackbellblockcalendarcameraccwcheckchevron-downchevron-leftchevron-rightchevron-small-downchevron-small-leftchevron-small-rightchevron-small-upchevron-upcircle-with-checkcircle-with-crosscircle-with-pluscrossdots-three-verticaleditemptyheartexporteye-with-lineeyefacebookfolderfullheartglobegmailgooglegroupsimageimagesinstagramlinklocation-pinm-swarmSearchmailmessagesminusmoremuplabelShape 3 + Rectangle 1outlookpersonJoin Group on CardStartprice-ribbonShapeShapeShapeImported LayersImported LayersImported Layersshieldstartickettrashtriangle-downtriangle-uptwitteruseryahoo

Implementing Near Real-time Churn Prediction for Games

  • to
  • Galvanize

    44 Tehama Street, San Francisco, CA (map)

    37.787365 -122.396507

  • *Don’t forget: save time at check-in by registering for this workshop via Eventbrite

    Easily building a Churn Prediction service with Machine Learning solutions

    Ever wondered what it takes to keep a user from leaving your game or application after all the hard work you put in? Wouldn’t it be great to get a chance to interact with the users right when they’re about to leave?

    As you might know, predicting user churn can be extremely difficult, mainly because most churn happens within the first few minutes or hours of a user’s gameplay. However, churn prediction tools make this task much easier and can provide insights which will help dramatically decrease churn rate.

    That’s exactly what we set out to do in our new project — Offer a neat way for developers to discover users who might leave their application or game, and hopefully prevent them from doing so. We decided to collaborate with Upopa — a gaming studio that creates cool games that you should definitely check out - to predict the future actions of their players and ultimately reduce their churn.


    6:00 pm - Doors open

    6:15 pm - Workshop Starts

    7:45 pm - Q&A

    What you will learn:

    How to apply churn prediction with Redshift and Amazon Machine Learning

    About the Presenter:

    Shimon Tolts is the General Manager of the Data Solutions division of ironSource. He specializes on software development, mainly back-end at high load & scale as well as building elastic cloud-based distributed systems. Shimon also focuses on solving data challenges like infrastructure for collection and management of BigData in near-real time and building a data pipeline to process more then 200 billion monthly events. Recently, Shimon is focusing most on the machine learning field and trying to solve predictive analytics challenges such as churn prediction.

    *Reminder: register for this workshop via Eventbrite.

Join or login to comment.

Want to go?

Join and RSVP

1 going

1 not going

(See all)

Our Sponsors


    Discounted domain names. Use the promo code: GalvanizeSanFran

  • Galvanize

    A education company that blends tech, startups, capital, and community.

Sign up

Meetup members, Log in

By clicking "Sign up" or "Sign up using Facebook", you confirm that you accept our Terms of Service & Privacy Policy