Loyalty Revamp
Reimagining the loyalty program to boost retention and repeat purchases
Role
Product Analytics
Data-led strategy
Type
Retention System
Redesign
Tiers
7 → 4
Simplified
Target
+5% CEA
ROI >100%
The Problem
The existing loyalty program was underperforming on both user value and business economics.
User Problems
Business Problems
Objective
Improve retention of high-value users (Gold / Black tiers)
Increase Customer Engagement Actions (CEA) by +4%
Achieve >100% ROI at the program level
Key Insight
The problem wasn't just rewards — it was system design.
01
Too many tiers
Low comprehension
02
Weak progression
No aspiration
03
Poor visibility
Low perceived value
04
Misaligned economics
High spend, low returns
Approach
Data-driven research across three workstreams.
User Segmentation via Clustering
Used k-clustering to analyze user behavior distribution — identified 4 optimal tiers instead of 7
Industry Benchmarking
Studied 20+ loyalty programs across industries to derive best practices: tier simplification, instant gratification, strong upgrade nudges
Economic Modeling
Analyzed benefit claim rates and reward spends vs. ROI — found higher ROI at lower tiers, lower at higher tiers → led to redistribution of benefits strategy
Solution
Redesigned as a simplified, high-visibility, behavior-driven loyalty program.
🏅 Tier Simplification: 7 → 4
~81%
Bronze users
~16%
Silver users
~2%
Gold users
~1%
Black users
Instant Gratification Layer
Rewards start from first contest join — leverages endowment effect and early engagement loops
Progression Nudges
Dynamic UI: 'Play X more to upgrade' and maintain vs. upgrade indicators embedded in contest flows, home screen, and reward shop
Visibility & Value Communication
Show total rewards earned (₹ + coins), active benefits, and next-tier benefits (FOMO) to increase perceived value
Spend Optimization Strategy
More benefits for lower tiers (higher ROI), controlled spends for higher tiers — bonus coin structures + non-monetary benefits (exclusive contests)
Gamification + Retention Hooks
Tier-based locked rewards, upgrade animations, and feedback loops to drive continuous re-engagement
Experimentation & Metrics
Primary Metric
CEA (Customer Engagement Actions)
Target: +5% uplift
Secondary Metrics
- Tier upgrade rate
- Retention by tier
- Benefit claim rate
- ROI per tier
Guardrails
My Role
Product Analytics — led the data-driven structuring of the loyalty system.
User Segmentation
Performed clustering analysis to identify optimal tier structure (7 → 4)
ROI & Spend Analysis
Analyzed benefit claim rates and spends per tier to inform the redistribution strategy
Industry Benchmarking
Researched 20+ loyalty programs to extract best practices and competitive benchmarks
Tier Redesign
Contributed to threshold exploration and level progression logic for the new 4-tier system
Experiment Planning
Supported metric definition, guardrail design, and experiment measurement framework
Key Product Decisions
Reduce Tier Complexity
Fewer tiers improved user comprehension and created clearer progression — making upgrade motivation more tangible
Start Rewards Early
Introduced rewards from the first contest join to leverage the endowment effect and increase engagement at the lower funnel
Optimize for ROI, Not Just Rewards
Shifted benefit allocation toward lower tiers (higher ROI) while controlling spends at higher tiers — balancing business and user value
Embed Loyalty into the Core Loop
Made loyalty a part of gameplay, not a standalone feature — nudges embedded in contest flows, home screen, and reward shop
Challenges
Outcome
↑
Retention signals
High-value tier improvement
≥100%
Target ROI
Program-level economics
4 tiers
Simplified from 7
Improved comprehension
Key Learnings
Loyalty is a system problem, not a feature problem — it requires end-to-end redesign, not patches
Simplicity drives engagement more than complexity — fewer tiers with clear value beats elaborate structures
Early rewards significantly impact retention — the endowment effect kicks in from the very first interaction
Economics must be built into product design — ROI is not an afterthought, it's a design constraint