Two approaches, one capability
Recommendations
The same capability at two levels. Switch on the Braze out-of-the-box version to prove the value fast, then take control with a bespoke model tuned to your data when you want to keep improving. Start with either; the upgrade path is built in.
Level 1Braze out-of-the-boxBraze AI
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.
What you get
- Braze Recommendations configured against your catalogue
- Recommendation surfaces wired into templates and journeys
- Feedback loop from engagement back into ranking
Build time
2-3 weeks
Complexity
Low
Level 3Advanced decisioningML
Bespoke Recommendations
A recommender built on your full first-party data, tuned to your catalogue, margins and strategy, going beyond what Braze's out-of-the-box engine can see.
Recommendations you own and control, tuned past the Braze defaults for the products and margins that matter.
What you get
- A bespoke recommender model over your first-party data
- Recommendation scores written to Braze
- Ranking logic tuned to catalogue, margin and strategy
- Model monitoring and periodic retraining
Build time
6-8 weeks
Complexity
High