Next Best Channel Prediction
Predict whether each customer is most likely to engage via email, SMS, push notification, or in-app message. EkamFlow's next best channel prediction improves response rates and reduces opt-outs.
What is Next Best Channel Prediction?
Next best channel prediction uses machine learning to determine which communication channel is most effective for each individual customer. Instead of sending the same campaign across all channels, or letting customers self-select, ML predicts which channel each person is most likely to engage with — email, SMS, push notification, in-app, or direct mail.
Channel fatigue is one of the fastest ways to lose customers. Over-messaging on the wrong channel drives opt-outs and unsubscribes. Under-utilizing a customer's preferred channel means missed engagement. Most marketing teams have no data-driven way to make this decision at scale.
EkamFlow predicts the next best channel for every customer as part of a unified prediction. The model learns from engagement history — opens, clicks, responses, and opt-outs across channels — to recommend the channel most likely to drive action for each individual.
How EkamFlow does it
Per-customer channel preference
Each customer gets a channel recommendation based on their individual engagement history — not segment-level assumptions or one-size-fits-all rules.
Reduces opt-outs and fatigue
By sending on the right channel, you reduce unsubscribes and opt-outs. Customers engage more when you reach them where they actually respond.
Combined with timing and offer
Next best channel comes back with next best time and next best offer in one API call — so you send the right message on the right channel at the right time.
Related predictions
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