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AI decisioning for telecom and utilities

Maximize any business metric with true 1:1 personalization

"Very rapidly we saw a 45% increase in our target metric, which was around customer value as well as our conversion rate."

The right journey for every customer with AI decisioning

Find the perfect offer to move customers to the latest products, speeds, and services

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Optimize upsell campaigns to drive customers to the latest packages and plans

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React quickly to emergency situations or outages with personalized customer communications

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Drive customer loyalty with personalized service campaigns

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Create targeted campaigns that increase customer lifetime value

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Reduce call volume and drive digital engagement

"We are seeing 30% of additional conversion value. OfferFit has proven to provide millions of dollars in customer lifetime value."

From models that predict to agents that decide

Marketers have typically used a type of machine learning (ML) called supervised learning to build predictive models. These models are used for applications like churn prediction, category affinity, cross-sell propensity, and next best offer. In this white paper, we explain how predictive models need to be supplemented with reinforcement learning (RL) models for decisioning.

Read the paper

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Ready to start personalizing with AI decisioning?