AnalyticalCompoundingAdvanced complexityLevel 3 Advanced decisioning
Closed-Loop Intelligence
Wires campaign performance and behavioural outcomes from Braze Currents back into the warehouse so the upstream models learn from what actually happened.
Connects activity, behaviour and performance into one learning cycle that makes every model smarter.
Who it's for
Programmes with several models live that want them to keep getting smarter by feeding real outcomes back, rather than running open-loop.
The engagement
What you get
- Closed-loop data flow from Currents and campaign performance into the warehouse
- Learn-and-optimise reporting across channels, timings and frequencies
- Feedback wiring back into the upstream models
What Fuse does
- Stand up the data flow from Braze Currents and campaign performance into the warehouse
- Build learn-and-optimise reporting across channels, timings and frequencies
- Wire outcomes back into the upstream models as fresh features
- Establish the review cadence that turns the loop
What we need from you
Data & access
- Braze Currents
- Campaign performance data
Your responsibilities
- Enable Braze Currents and provide the destination warehouse
- Provide campaign performance data
- Commit to a regular optimisation review
Outcomes and proof
- Every campaign teaches the system what changes behaviour
- Upstream models refreshed on real outcomes, not stale training data
- Compounding improvement instead of a one-off build
Assumptions
- Braze Currents is available on the plan
- A warehouse destination exists to receive the stream
Out of scope
- Warehouse platform provisioning
- The upstream models themselves, which are prerequisites