MLBuilds with your dataHigh complexityLevel 2 Refined bespoke
Channel Optimisation
A model that predicts the channel each customer is most likely to respond on from their cross-channel engagement history.
The best channel per customer, so you stop blasting every channel and reach people where they respond.
Who it's for
Multi-channel programmes (email, push, SMS, in-app) blasting every channel who want to reach each customer where they actually respond.
The engagement
What you get
- Channel-optimisation model over cross-channel engagement
- Preferred-channel attribute written to Braze
- Channel-aware journey routing recipes
What Fuse does
- Assemble cross-channel engagement history per customer
- Train and validate the preferred-channel model
- Write the preferred-channel attribute into Braze
- Design channel-aware routing recipes
- Monitor and retrain as channel behaviour shifts
What we need from you
Data & access
- Cross-channel engagement events (email, push, SMS, in-app)
Your responsibilities
- Provide cross-channel engagement events
- Confirm which channels are in scope and their cost model
- Provide Braze workspace access
Outcomes and proof
- A preferred channel per customer, replacing blanket multi-channel sends
- Lower cost per message and less channel fatigue
- Lift proven against a blast-all control
Assumptions
- Engagement is tracked across the channels in scope
- Customers are identifiable across channels
Out of scope
- Send-time optimisation, the 'when', a separate Braze capability
- Contact-frequency governance, the 'how often', a separate service