Tealium Predict ML: Top 5 Emerging Machine Learning Use Cases with Customer Data

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What are our customers doing with Tealium Predict ML so far?

With our new machine learning feature, Tealium Predict ML, part of the AudienceStream Customer Data Platform, it’s been fun to watch our first customers experiment with the possibilities. Seeing the real ways that machine learning and customer data can drive revenue through improved customer experiences is fascinating. The only real limit on how you can use ML-driven predictions is your imagination.
Depending on your role, here are some of the uses we think are worth highlighting (and are explored in-depth below):

Proactive Marketing: Machine Learning-Powered Segmentation

Predict Machine Learning enables you to anticipate the behaviors that you’re tracking in AudienceStream CDP. Behaviors like purchase, loyalty sign up, views, conversions, renewals, combinations of behavior, etc. These predictions come in the form of a number between 0 and 1 reflecting the likeliness of that individual customer to complete that behavior.
For example, a score of .99 means that the user is extremely likely to complete that behavior in the given timeframe. This score is added to the customer profile at the end of each and every visit. The score can immediately be used to create an audience (no separate deployment headaches). And …

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