2M+Users targeted every day through bonus automation
8 million+Bonus codes mapped automatically every day
500+Working hours saved per month
Build delivery, then improve the decision
- Unify operations
Connect creation, mapping and communication.
- Personalize relevance
Use behavior and affinity to tailor rewards.
- Measure value
Track efficiency, adoption and NGR separately.
Objective
- Replace manual reward work with dependable automation.
- Create a foundation for more relevant rewards and product experiences.
Users
- A broad daily audience with different engagement and spending patterns.
- Behavioral segments needing more relevant reward choices.
Initiatives
- Unify reward creation, mapping and communication.
- Use affinity models to personalize distribution.
- Tailor recommendations and deposit experiences to user behavior.
Implementation
- Connect operational systems and validate delivery across teams.
- Automate daily setup and distribution at scale.
- Test personalization and reward visibility across user segments.
Decisions & trade-offs
- Validate delivery efficiency and commercial impact separately.
- The initial automation comparison kept NGR stable; affinity-model personalization reported 7% NGR growth.
Impact
- 2 million+ users targeted and 8 million+ bonus codes mapped automatically every day.
- More than 500 working hours saved per month.
- Reward adoption improved by up to one percentage point in selected segments; affinity-model personalization reported 7% NGR growth.
Measurement notes
Operational scale, adoption and NGR have separate scopes. The 7% result reflects affinity-model personalization.