ZEPTO | QUICK COMMERCE

Turning Notifications Into Revenue: A Product Teardown of Zepto's Push Strategy

A deep analysis of how quick commerce platforms can leverage AI-driven personalization and interactive notifications to boost engagement and conversion.

Market Share: 23%
6.2M Monthly Users

Business Context

Company Overview

  • Founded: 2021
  • App Downloads: 50M+
  • Orders: 62M monthly
  • Monthly Transacting Customers: 6.2M
  • Monthly Active Riders: 85K
  • Dark Stores: 490+
  • Revenue: Rs. 2100 Cr

Value Proposition

  • ~10 minutes delivery - Solves last minute needs
  • Variety of daily use products - solves discovery cost
  • Flexible payment options - solves payment anxiety
  • Competitive pricing - easy on the wallet

Market Share (Quick Commerce)

43%

Blinkit

28%

Swiggy Instamart

23%

Zepto

6%

Others

User Personas

RM

Rahul Mehta

34, Marketing Manager, Mumbai

Single, job demands long hours, leaving little time for traditional shopping. Prefers convenience, speed, and hassle-free experience.

Goals

  • Orders in small quantity to avoid waste
  • Orders during break time (lunch/post office)
  • Looks for promotional offers and restock reminders

Pain Points

  • Hates too many notifications - turned off promos
  • Forgets to order frequently used items
  • Frustrated with longer delivery at surge times
PS

Priya Singh

30, Home-maker, Bangalore

Mother of two young children, manages household while husband works. Juggles childcare, chores, and grocery shopping while staying within budget.

Goals

  • Weekly grocery - baby products & household items
  • Seeks particular brand for quality
  • Seeks good deals/discounts with large purchases

Pain Points

  • Frustrated with too many irrelevant notifications
  • Forgets to order items, wants reminders
  • Frustrated with lack of particular brand availability

User Journey Mapping

1

Notification

"Not sure if this is useful but let me check"

Curious
2

Home Page

"Checks pending cart, deals, searches products"

Exploring
3

Product Discovery

"Hope they add people ratings for items"

Hopeful
4

Add to Cart

"Why no easy comparison option?"

Frustrated
5

Checkout

"Thanks for pricing transparency"

Satisfied
6

Waiting

"Why is delivery taking longer than promised?"

Anxious
7

Delivery

"Why is my package unsealed?"

Concerned
8

Feedback

"Why rate if I don't see it on app?"

Skeptical

Current Notification Strategy Analysis

Design Strengths

  • Consistency: Maintains visual identity aligned with app branding
  • Clarity: Concise messages, avoiding information overload
  • Actionability: Clear CTAs driving user engagement
  • User-Centric: Focus on delivering value

Areas for Improvement

  • Limited Personalization: User data not fully leveraged
  • Primarily Informative: Just prompts to open app
  • Limited Customization: Standardized notification set

Strategic Recommendations

1. AI-Driven Personalization

Implement AI-driven personalization that considers a broader range of factors beyond basic purchase history.

Example: If a user typically orders snacks in the afternoon, Zepto could send a notification at 2 PM with a discount on their favorite snacks.

Impact: Likely to increase user engagement by making notifications more relevant to immediate needs

2. Interactive Notifications

Introduce interactive notifications allowing users to perform actions directly from the notification itself.

Example: Users could reorder a past purchase, apply a discount code, or rate their last delivery without opening the app.

Impact: Quicker decision-making and higher conversion rates

3. Notification Preference Control

Give users choice for notification types (order updates, promotional offers, restock reminders) and preferred frequency.

Example: User chooses promotional notifications only once a week but real-time updates on order status.

Impact: Reduce notification fatigue and increase user satisfaction

Metrics Framework

North Star Metric

Active User (DAU)

Percentage of active users who regularly engage with Zepto's notifications

L1 Metrics

Click Through Rate (CTR)

Per notification type - measures content, timing, and relevance effectiveness

Conversion Rate

Users who completed desired action (add to cart etc)

L2 Metrics

Retention Rate

Users who continue using app after notifications (7-day, 30-day)

Engagement Time Post-Notification

How long users stay within app after notification

Session Frequency

Avg sessions after notification within specific timeframe

Counter/Failure Metric

Opt-out Rate

Percentage of users who don't find notifications solving their purpose. High number means overstepping user preferences.

Technical Considerations

Current Tech Stack

  • Real-time data processing for timely messaging
  • Scalability to handle large user volumes
  • Analytics integration for performance monitoring

Required Enhancements

  • Advanced ML targeting for highly personalized notifications
  • Interactive notification SDK integration
  • User preference management system

Interested in discussing this analysis?

I'd love to walk you through the full teardown and strategic recommendations.

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