Right reward. Right consumer. Right moment. Always.
Optimises reward distribution to maximise participation and ROI. Analyses participation behaviour and redemption data in real-time to determine the most effective reward for each consumer — at the exact moment they're most likely to act.
- Smart reward triggers
- Real-time optimisation
- Budget auto-pacing
- Redemption maximiser
- ROI-controlled
Proven in Production
- Assured rewards campaigns
- Cashback distribution
- Leaderboard prize logic
- Repeat participation loops
2.2×
Redemption rate vs. static reward distribution
↓31%
Cost per participation with smart optimisation
Auto
Budget pacing — prize pool never exhausted early
How It Works
Every consumer gets the reward most likely to make them act. Automatically.
The Smart Reward Picker doesn't just distribute rewards — it decides which reward, to which consumer, at which moment, in which channel produces the best conversion outcome.
Behaviour analysed
Participation history, redemption patterns, and channel preference analysed
Reward scored
Every reward is catalogue-scored against each consumer's conversion likelihood
Budget paced
Prize pool distribution tracked in real-time — no early exhaustion, no value spend
Reward triggered
Optimal reward served at the moment of highest intent — post-game, post-purchase, etc.
Outcome tracked
Redemption is given outcome feeds back to optimise future reward decisions
Key Performance Indicators
What success looks like
KPI
Redemption rate
Target: 50%+ all eligible consumers claim reward
KPI
Cost per user
Target: Track and reduce CPC by 25% within 3 campaigns
KPI
Repeat participation
Target: 40%+ consumers re-enter after first reward
Implementation
Live in 5 days — budget-safe from day one
Automatic budget pacing means no prize pool crises. Reward optimisation runs silently — consumers see personalised offers, you see better ROI.
Day 1–2
Reward catalogue
Full prize catalogue uploaded — types, values, quantities, and eligibility rules parameters set
Day 2–3
Optimisation config
Budget pacing rules, consumer tier weighting, and channel preference signals configured
Day 3–4
Test & simulate
10,000 simulated reward decisions run. Prize distribution validated against budget envelope
Day 4–5
Go live
Reward optimisation engine active. Real-time prize pool dashboard and ROI tracker live
Note: Budget pacing is automatic — prize pool is never exhausted early regardless of participation spike. Pacing can be verified by independent audit.
Use Cases
Built for every vertical
FMCG
Assured rewards campaign
Every participant guaranteed a reward. AI determines which reward type (cashback vs. voucher vs. gaming) maximises repeat participation for each consumer tier.
F&B
Leaderboard prize optimisation
Leaderboard campaign with tiered prizes. AI paces prize distribution to ensure top prizes remain competitive throughout the campaign — not all won in week 1.
Personal Care
Loyalty points maximiser
Consumer earns points on every purchase. AI determines optimal point multiplier at each touchpoint to maximise next-purchase conversion without inflating cost.
Fintech
Cashback tier optimisation
Fintech app rewards campaign. AI determines whether ₹25 cashback or ₹50 cashback drives better repeat spend for each consumer segment — optimises total ROI.