Zepto’s core value proposition is “ultra-fast delivery of groceries and daily essentials within 10 minutes.”
What truly differentiates Zepto from its competitors is:
Users experience the CVP consistently through:
| Step | Experience |
|---|---|
Product discovery | Seamless product search + personalized recommendations |
Price & value | Discounted combos, deal banners, and Zepto Coins |
Checkout | Smooth 1-click checkout, wallet integration |
Delivery tracking | Live tracking of 10-min delivery with rider status |
Order quality confirmation | Fresh, well-packed essentials, on-time, no-miss delivery |
Reorder & history | “Buy Again” & subscription options for high-frequency items |
| User Type | Order Frequency | Typical Profile |
|---|---|---|
Casual User | 1–2 times per week | Students, single professionals, trial customers |
Core User | 2–4 times per week | Young families, working couples |
Power User | 5–12 times per week | Large households, elderly users relying on Zepto |
Why this frequency?
Groceries are a high-frequency need. Indian households shop 2–3x/week on average for perishables and forgotten items—Zepto’s convenience fills this gap perfectly.
| Engagement Dimension | Primary | Secondary | Tertiary |
|---|---|---|---|
Breadth | Categories ordered (Fruits, Dairy, Snacks, etc.) | Basket size | Number of SKUs per order |
Depth | Orders/month | Number of items per order | Repeat category purchases |
Frequency | Weekly repeat rate | Daily app opens | Cart creation frequency |
Engagement Signal to Track: A highly engaged user will show high frequency (ordering multiple times/week), moderate-to-high depth (larger basket or cross-category), and increasing breadth (trying new categories).
An Active User is defined as someone who places ≥2 orders per week, or who:
A power user might not only order frequently but also engage deeply with features like “Buy Again,” subscriptions, and in-app offers.
| Criteria | User 1: Casual Buyer | User 2: Core Habitual Buyer | User 3: Power User |
|---|---|---|---|
Name | Aditi (Busy Professional) | Rahul (Young Working Parent) | Priya (Home Chef / Host) |
Age | 25–35 | 30–40 | 28–45 |
Demographics | Urban, single/couples, working full-time | Urban, married, kids, salaried | Metro areas, upper-middle-class, large household |
Need | Last-minute essentials, snacks, beverages | Weekly groceries, baby products, fresh produce | Frequent stock-up, meal prep, hosting guests |
Pain Point | No time for grocery runs | Unreliable local kiranas, time crunch | Bulk buying is a hassle, freshness inconsistency |
Solution | Quick impulse orders in 10 mins | Regular delivery of essentials | High-volume, fresh, scheduled replenishments |
Behavior | 1–2 orders/week | 2–4 orders/week | 5–12 orders/week |
Perceived Value of Brand | Convenience, speed | Reliability, quality | Inventory variety, premium quality, dependability |
Marketing Pitch | “Groceries in 10 minutes. No planning needed.” | “Fresh groceries, on time, every time.” | “Power your kitchen with ultra-fast restocks.” |
Goals | Fast checkout, good offers | Quality + consistency | Volume + freshness, trusted platform |
| Segment | Why We Segment Them | Growth Opportunity |
|---|---|---|
Casual Buyers | They're low-frequency, often price-driven or convenience-first | Convert into Core users via habit loops, streaks |
Core Users | Represent stable volume; trust and repeat behavior | Increase basket size and reduce churn |
Power Users | High LTV; often evangelists or loyal customers | Retain via premium features & loyalty programs |
| Engagement Dimension | Definition | Primary Segment | Metric to Track | Rationale |
|---|---|---|---|---|
Breadth | Number of categories used (Fruits, Dairy, Snacks, etc.) | Power | Avg. categories per order | Indicates dependency on Zepto across verticals |
Depth | Basket size / AOV and proportion of weekly needs met | Core, Power | AOV, % of needs from Zepto | Shows revenue impact + Zepto becoming habit |
Frequency | How often a user orders from Zepto in a week | Casual → Power | Orders/week, time between orders | Key signal of habit formation |
RFM = Recency + Frequency + Monetary
| User Type | Recency | Frequency | Monetary Value (AOV) | Pain Points | Valued Features | CVP Utilized | JTBD | Discovery Mode | Engagement Level |
|---|---|---|---|---|---|---|---|---|---|
Casual | Ordered 5–10 days ago | 1–2 orders/week | ₹200–₹350 | Forgetting Zepto exists, alternative options | Speed, offers | Instant delivery, pricing | Need something fast & convenient | Performance Ads / Referrals | Low |
Core | Ordered in last 3–5 days | 2–4 orders/week | ₹350–₹600 | App friction, lack of variety in pack offers | Freshness, reliability, value bundles | Essentials + Weekly needs | Weekly replenishment of groceries | Organic / Word of Mouth | Medium |
Power | Ordered in last 1–2 days | 5–12 orders/week | ₹600–₹1200+ | Lack of personalization, loyalty recognition | Premium quality, scheduled deliveries | Multiple categories, time-savings | Outsource shopping completely | Repeat + Home screen app | High |
We validate this segmentation through:
Persona: Rahul (Core User)
Breadth: Uses 3 categories — Fruits, Dairy, Snacks
Depth: Orders ₹450 weekly; 70% of grocery needs
Frequency: 3 orders/week
Engagement Campaigns for Rahul:
| Framework Layer | Purpose |
|---|---|
ICP Layer | Defines who the users are |
Engagement Layer | Measures how they use Zepto |
RFM Layer | Measures how recently and how much they order |
Validation Layer | Ensures accuracy via user & data insights |
To drive frequent and repeat usage by making Zepto a default grocery behavior, especially for daily and impulsive needs.
Users may place an initial Zepto order based on novelty or urgency but often don’t develop a long-term habit, either reverting to offline stores or switching between apps due to price or offers.
Create a hooked experience around instant gratification, quality, and habit formation that drives users to rely on Zepto for daily micro-fulfillments (milk, eggs, fruits, snacks) and impulse-based needs (rainy-day cravings, late-night snacks).
Trigger → Action → Reward → Investment
Milestone | Timeline | KPI Goal |
|---|---|---|
Launch streaks + gamification | Week 1–2 | 5% lift in repeat orders |
Referral rewards redesign | Week 2–3 | 10% increase in referral conversions |
Auto-bundles (snacks, dairy) | Week 3 | +8% in basket size |
WhatsApp reactivation journey | Week 4 | 15% revival in churned users |
Loyalty Tier Test (Top Users) | Week 4–5 | Increased retention in Power segment |

Goal: Build ordering habit
Target: Core & Casual users
Mechanism: Order on 3 consecutive days and unlock a cashback or free item
Channel: In-app, push notifications
Trigger: After first 2 orders in same week
Success Metric: 7-day repeat order rate
Goal: Increase AOV + excitement
Target: All users
Mechanism: Spin a wheel at checkout (rewards: free product, ₹ discount, next order bonus)
Channel: In-app only
Trigger: Min. cart value ₹499
Success Metric: AOV uplift, repeat rate
Goal: Drive weekly ordering habit
Target: Core buyers
Mechanism: Curated snack, fruits, dairy packs with 15% off on Fri–Sun
Channel: Email, push
Trigger: Friday morning & Saturday evening
Success Metric: Weekend order volume increase
Goal: Recover churned users
Target: Dormant users (inactive 14+ days)
Mechanism: Personalized WhatsApp with offer (e.g., “Your old favorite is just ₹49 today”)
Channel: WhatsApp
Trigger: Based on product previously bought
Success Metric: Reactivation rate
Goal: Grow user base organically
Target: Active users with 3+ orders
Mechanism: Refer a friend → both get ₹75 when friend orders a refill combo
Channel: In-app, referral link
Trigger: After 3rd successful order
Success Metric: Referral conversion rate
| Time Frame | What We Track | What It Tells Us |
|---|---|---|
Day 0 | App open → first order | Activation quality, onboarding success |
Day 1–3 | Repeat visits / 2nd order | First impression stickiness |
Day 7 | Weekly behavior begins | Early retention signal for habit-building |
Day 14 | Continued use | Strength of repeat engagement |
Day 30 | Core retention checkpoint | Shows if we’ve built a habit loop |
Day 60–90 | Flattened retention curve | True loyal base (Power/Core Users) |
Illustrative Retention Curve:
Insight: The sharpest drop-off is between Day 0 and Day 7. That’s where your retention campaigns must work the hardest.
| ICP | Retention (D30) | Why They Stick |
|---|---|---|
Casual Buyer | ~5–8% | Weak hook, impulse orders only |
Core Buyer | ~15–20% | Weekly needs met, trust in product |
Power User | ~30%+ | Strong habit loop, multi-category dependency |
| Channel | D30 Retention | Observations |
|---|---|---|
Referral | Highest | Trust from known person → better onboarding |
Organic | Medium | Intent-driven, selective but sticky |
Paid Ads | Lowest | Offers-driven; high Day 1 drop-offs |
Churn is the rate at which users stop ordering or uninstall the app. In Zepto’s case:
| Reason | Explanation |
|---|---|
Poor first experience | Product not delivered in 10 mins / wrong item |
Better offers elsewhere | Switched to competitor for discount |
Lack of perceived value | “Why should I pay extra for delivery?” |
Limited selection | User didn’t find daily essentials or regional products |
Habit not formed | Didn’t get second nudge in 3–5 days |
| Reason | Explanation |
|---|---|
Payment failure / Wallet issue | UPI declined / no clear retry |
App crashes / tech bugs | App exit before order → no comeback |
Failed delivery | Rider couldn’t reach or canceled → trust broken |
Poor customer support experience | Ticket not resolved in time |
| Signal Type | Metric | What It Means |
|---|---|---|
Low NPS (<7) | User is unlikely to recommend | Weak value delivery or experience |
Multiple support tickets | High CSAT drop | Friction, trust broken |
Long time since last open | >15 days | Cold user – high risk of churn |
Abandoned cart | Items added but no checkout | Price/UX friction, delivery slot dissatisfaction |
Push opt-out | Declining notifications | User disengaging, missing engagement campaigns |
| Feature / Sub-Product | Retention Driver |
|---|---|
10-minute delivery promise | Core value proposition fulfillment |
Streak Rewards / Zepto Coins | Gamified retention, loyalty loop |
“Your Regulars” / Auto Refill | Personalized, effortless repeat purchases |
Weekly Combo Packs / Bundles | Value-based retention (esp. Core Users) |
Scheduled Deliveries | Power User retention tool |
Zepto – Resurrection Campaigns to Win Back Churned Users
Now that we've mapped churn drivers and user segmentation, here are 5 resurrection campaigns tailored by ICP type and churn reason to re-engage dormant users and convert them back into active customers.

| Target Segment | Casual users churned for 14–30 days |
|---|---|
Pitch/Content | “Haven’t seen you in a while! Let us make it worth your while. Try us again today.” |
Offer | Flat ₹50 off + Free Delivery on next order |
Frequency/Timing | Triggered 14 days post last order, then reminder on Day 21 |
Success Metric | CTR > 8%, Return-to-order rate > 20% |
| Target Segment | Core users with last activity <21 days, abandoned cart |
|---|---|
Pitch/Content | “Your items are still fresh in your cart! Order now and get a special deal.” |
Offer | Extra 10% off on cart value >₹499 |
Frequency/Timing | 1 hour post abandonment + next-day reminder |
Success Metric | Conversion Rate > 18%, Cart recovery rate > 25% |
| Target Segment | Power users inactive for 7–21 days |
|---|---|
Pitch/Content | “You were on a streak! Let’s get back to your daily essentials—fast.” |
Offer | Streak Bonus: ₹100 Zepto Coins on 3 orders in next 5 days |
Frequency/Timing | 3-part series: Day 7, 10, 14 |
Success Metric | Order streak recovery > 30%, LTV increase over 14 days |
| Target Segment | Any user segment who frequently ordered a specific category (e.g., Fruits, Snacks) but churned |
|---|---|
Pitch/Content | “Your favorite mangoes/snacks are back in stock! Order now before they’re gone.” |
Offer | BOGO or 20% off on previously purchased items |
Frequency/Timing | Category restock-triggered, 1-time message + follow-up 3 days later |
Success Metric | Reorder rate of promoted items > 22%, Re-engagement > 15% |
| Target Segment | Users who churned after 1–3 orders (habit not formed) |
|---|---|
Pitch/Content | “Make life easier—switch to weekly grocery plans with guaranteed slots.” |
Offer | ₹150 cashback on completing 4 orders in the next 14 days |
Frequency/Timing | Weekly nudges on Sunday and Wednesday (grocery planning days) |
Success Metric | Weekly order frequency uplift, Conversion to ≥3 orders in 2 weeks |
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