๐Ÿ›’ Zepto Onboarding Case Study
๐Ÿ›’

Zepto Onboarding Case Study

Onboarding teardown of Zepto




Zepto

Zepto is a grocery delivery app that delivers groceries to your home fast in ten minutes.

Value Proposition

  • Quick Commerce
  • Promotions and Discounts
  • Food, drinks, household necessities, and personal hygiene for customers


ICP


ICP 1

ICP 3

ICP 1

Lone Ranger

Home Collaborator

Homemaker

Name

Tanu

Aziz

Shilpa

Age

25

29

34

Location

Mumbai

Hyderabad

Bangalore

Gender

Female

Male

Female

Maritial Status

Unmarried

Unmarried

Married

Job Status

Employed

Employed

Housewife

Whom does he stay with

Flatmates

Parents

Husband and kids

Key Responsibility

Meal Plan, Groceries and Managing House hold help

House Hold Chores, Groceries, Cleaning Clothes

Cooking, Cleaning Stocking Essentials (Groceries, Vegetables and Milk), Laundr, Taking Care of Kids Needs

Usage of free time

Catchup with friends, Watch Movies, Personal Care, Social media

Read, play video games, hang out with friends

Family time, Catchup with friends, Watch Movies, Personal Care

Most used applications

Instagram, Youtube, Hotstar

Whatsapp, banking apps, Instagram, Slack Cred

Social Media Platforms

Instagram, Youtube, Twitter, Facebook

Instagram, Linkedin

Tech Savy

High

High

Medium

Offline/Online Grocery Buying

Online

Offline and Online

Offline and Online

Grocery Decision Making

Self

Mother

Self

Monthly Online Groceries Ticket Size

3000

3000

4000

Online grocery ordering frequency

Twice a week

Once a week

Twice a week

Pain Point

Grocery Shopping takes a lot of time, Doesnt like visiting 10 Kirana stores to buy things, Keeping grocery shopping in budget

Finding fresh produce, keeping grocery budgets in check, Running for items last minute

Fresh Produce, Timely Delivery

Onboarding teardown

Zepto Teardown_ManishMinz_Compressed.pdf



Activation Metrics

Hypothesis 1

Placing 2 successful orders in a week


Why

Based on my user research, customers made 3 orders of online groceries per week; capturing a higher share of their orders means they are active customers.


Tracking Metrics

No of orders were placed

Frequency of visits per user

Order Value

TAT

Demographics




Hypothesis 2

Searching and finding 95% of items and placing an order in 15 mins

Why

Most people know what they buy, informing us that we constantly meet customer needs.

Tracking Metrics

Stock of searched items

SKU of searched items

Search to order timeframe.

Search intent to add to cart

Search result duration

Brand usage

Category usage


Hypothesis 3

Buying 5 items from deal store in a month


Why

This segment is quite budget-sensitive and active users. If they buy items from Zepto, they would like to ensure they get the best deals and often come to the platform.


Tracking Metrics

No of orders were placed

No deals/promotions are used.

Value of order

Savings of customer


Hypothesis 4

20% percentage growth in monthly order value per user over 3 months


Why

This behavior could be a marker of increased trust from the customer, which would have led to higher platform usage.

Tracking Metrics

No of orders were placed

Monthly order value per customer


Hypothesis 5

5 orders of regular consumable items in 2 weeks

Why

Perishable items are the most bought items and most urgently needed. Zepto would be their go-to app if they use the platform often.

Tracking Metrics

No of orders were placed

Frequency of visits per user

Category of items ordered

Hypothesis 6

Topping up wallet with 1000rs

Why

If they regularly buy from the product, they will keep the money to order instantly from the platform.

Tracking Metrics

No of orders were placed

Frequency of visits per user

Wallet Balance

Usage of Wallet

Hypothesis 7

Bought products from 4 different categories


Why

This information would mean that we are expanding our catalog and meeting the broader needs of our customers.


Tracking Metrics

Frequency of visits per user

Category of items bought

Search items category

Categories that the user is browsing






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