Awareness
App Installation
Product
Selection
Cart Selection
Order
Placement
Payment
Product
Delivery
Post Sale
Retention
• ATL
• BTL
• DM
• Needs
• Willingness
• Availability
• Onboarding
• Click
Through
Rate
• No. of new
Downloads
• Categories
• SKUs
• Delivery
time
• Price point
• Bounce rate
• Average
time spent
on app
• Conversion
rate
• Item
finalization
• Stock
availability
time
• Shipping cost
• Average stay
time in cart
• Cart
abandonmen
t rate
• Delivery
address book
• Made pay
• Payment
options (Net
banking,
Card
payment,
UPI
• Training of
delivery
executive
• Failure
transaction
rate
• Right
product at
right time
• Returns and
Refund, Net
Promoter
Score,
Customer
Reviews
• Prior
Experience,
Trust on App
• NPA,
Percentage
of repeat
user,
Frequency of
repeat user
User Journey

Important data
points should be
collected
• Voice of consumer: What consumers are talking about
deal share in social media platform
• Feedback & Review: Complaint raised by existing
customer
• Change in website: Before and after, if we have changed
some feature in our website
• Market penetration of competitors in Jaipur vs
Ahmedabad
• Timing of launch in Ahmedabad, competitors already
captured the market share

Data
Analytics &
Big Data
AI/ML

Recommendations
• We should collect data from each step of user
journey, so that we can definitely say that
problem exists in this step.
• We also need to consider demographic
difference between Ahmedabad & Jaipur,
Consumer behaviour of two different cities
• Channel Optimization
• To increase average revenue, offer can be
given on cart value rather than on individual
products
• Cash on delivery on each pin code, because of
trust factor of new company like deal share.
• Increase the value of product
• Give recommendation of products on cart
selection page
• Collect and evaluate data points of each step
of user journey