Saurabh Raina

Problem Statement:
Large inhaler user base but weak adherence & refill consistency.
Fragmented purchase funnels → low conversion, low LTV, no scalable monetization engine.

Solution & Impact

1) Adherence → Refill Revenue Engine
Built D0–D60 adherence journeys across App + WhatsApp + AI nudges.
→ influenced 1.5L+ additional refills from zero; unlocked ₹5 Cr+ incremental revenue.

2) Gamified Mascot Journeys (Behaviour → Business)
Designed habit loops via mascot, streaks, challenges & refill confirmations.
→ +25% engagement & +70% refill actions.

3) AI Technique Check (India’s 1st)
Launched AI-based inhaler technique validation with corrective coaching video.
→ unlocks scale for Tier 2/3 elderly users.

4) AI Chatbot + AI Call Automation
Built RAG chatbot (in-house VDB + LangChain + PubMed/WebMD).
→ AI call nudges reduced churn risk by 35%.

5) Omnichannel Personalization
Hyper-personalized WhatsApp / AI Calling journeys → 20%+ CTR.

Overall Impact:
Shifted Cipla’s respiratory app from informational → revenue engine.
Scaled 1M+ app downloads & established adherence as the primary commercial growth lever.

Problem Statement:
Strong new user acquisition but weak D0–D14 retention → low repeat order frequency & inefficient paid acquisition → low LTV.

Solution & Impact

1) Gamification Layer (Streaks + Spin Wheel)
Created daily streaks & limited-time spin challenges.
→ +15% improvement in early retention & repeat orders in first 30 days.

2) Personalized Wallet (Cashback + Credits + Nudges)
Built wallet with contextual offers by segment.
→ wallet-user LTV grew from ₹430 → ₹850 (+50%).

3) Loyalty Tiers (Bronze → Platinum)
Designed progressive tiering with benefits linked to behaviour.
→ +50% LTV uplift across 14 cohorts.

4) Automated Discounts Engine
Dynamic, event-triggered personalization across 5 behavioural segments.

5) ROI Experimentation Engine
Built ROI calculator for controlled experiments.
→ achieved 6:1 ROI across retention & monetization tests.

Overall Impact:
Transformed QSR app into habit system using gamification + personalization → +15% early retention, +50% LTV and 6:1 ROI.

• Problem Statement:
• Post-COVID DAU slid from 3.1M → 2.4M.
• Every +15% engagement delivered +20–25% revenue uplift → urgent to revive retention to restore core monetization.
• Solution & Impact
• 1) Weekly Leagues (7M players engaged)
• Launched 14-tier competitive leagues with real-time rank tickers + reward loops.
• → +15% retention, +20% revenue uplift.
• 2) Weekly Quest Cohorts (27 segments)
• Personalized 5-day challenges by preferred game (Rummy / Teen Patti / Poker etc.)
• → 50% DAU adoption, +5% engagement, higher ad-monetization via incentivized views.
• 3) Gold Pass (30-Day Subscription)
• Upfront + daily staggered chip rewards + 2× multipliers inside Leagues.
• → +10% overall revenue uplift & higher stickiness for HV users.
• 4) Seasonal Cricket Feature (IPL / WC)
• Rewarded “runs / sixes” events →
• → +5% DAU lift during cricket peaks.
• 5) Product Ops & Growth Hacking
• Set monthly PRD + experiment cadences, prioritized growth loops.
• → delivered ₹3.6 Cr incremental revenue.
• Overall Impact:
• Reversed post-COVID decline by scaling gamified systems → +15% retention, +20% revenue, re-engaged 7M+ players across portfolio.

Problem: Mutual fund onboarding and SIP lifecycle had friction, low conversion, and poor rebalancing adoption, limiting AUM and user stickiness.

Solution & Impact:

• Redesigned Goal → SIP funnel, adding inline KYC and contextual fund picks, improving goal-to-SIP conversion by ~20%.
• Built SIP Lifecycle Manager (pause/modify/redeem) reducing support tickets by 30% and improving SIP retention by ~10%.
• Launched Auto-Rebalance & Switch-to-Direct flows, driving ~15% lift in rebalancing adoption and ~12% switch activation.
• Set up Product Review cadence & feature flags, cutting release lead time by ~35% and enabling continuous delivery in a regulated fintech setup.

Problem 1:
High AOV (₹22K) → affordability barrier → low repeat & impulse purchase.

Solution & Impact

1) “10+1 Gold Mine” EMI vertical (Affordability → TAM Expansion)
Launched flexible EMI variants (5+0.25 / 7+0.5 / 10+1).
→ +30% app revenue uplift & larger middle-class TAM penetration.

2) Customer Discovery → Tier 1–3
100+ field calls/visits → calibrated EMI variants to real financing behaviour.

Problem 2:
Long delivery ETAs → users shortlisted but didn’t convert.

Solution & Impact

3) Omnichannel OMS (Store Inventory + Online Catalog)
Enabled same-day delivery from nearby stores via real-time stock visibility.
→ +10% online conversion & +20% post-purchase NPS.

Overall Impact:
Unlocked affordability-led growth (+30% revenue) & removed delivery friction (+10% conversion) by building new EMI business line + omnichannel fulfilment.

Problem Statement:
High returns, low NPS and cart drop-offs → poor unit economics and inefficient coupon burn.

Solution & Impact

1) Shopping Cart Enhancements
Optimized cart UX + nudges.
→ +5% GMV, +10% cart conversion & −40% coupon spend.

2) Payment Optimizations
Improved success rates across PayPal / PayU / CC Avenue + PayTM partnerships.

3) Quality Score System
Automated quality scoring & OneShip routing.
→ dropped return rates −44% & improved NPS from −35 → +38.

4) QC Automation
Targeted suspected poor-quality SKUs via hub-level checks.
→ −40% QC lead time & higher throughput.

5) A/B Testing & Insights
Ran experiments across checkout, payments, pricing & merchandising → data-backed conversion improvements.

Overall Impact:
Reduced returns by 44%, improved NPS from −35 → +38, delivered GMV +5% & better net contribution via reduced discount burn.