Braze AIBuilds with your dataLow complexityLevel 1 Braze out-of-the-box
Braze Recommendations
A Braze capability that ranks the most relevant product, range or offer for each customer from their behaviour and your catalogue.
Personalised next-best-content: the most relevant product or offer per customer, automatically.
Who it's for
Catalogue businesses (retail, media, content) that want personalised next-best-content without building a recommender from scratch.
The engagement
What you get
- Braze Recommendations configured against your catalogue
- Recommendation surfaces wired into templates and journeys
- Feedback loop from engagement back into ranking
What Fuse does
- Connect and structure the product / content catalogue feed for Braze
- Configure Braze Recommendations and the ranking inputs
- Wire recommendation surfaces into templates and journeys
- Establish the feedback loop from engagement back into ranking
What we need from you
Data & access
- Purchase history
- A product / content catalogue feed
Your responsibilities
- Provide a product / content catalogue feed and purchase history
- Author the templates that host the recommendations
- Provide Braze workspace access
Outcomes and proof
- Personalised product / content in every eligible message
- Higher click and conversion on recommended items versus generic
- Lift proven against a non-personalised control
Assumptions
- A maintainable catalogue feed exists
- Purchase / engagement history is sufficient to rank
- The Braze plan includes Recommendations
Out of scope
- Catalogue data engineering beyond the agreed feed
- A bespoke recommender model (this uses Braze's)