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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

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Deal Share.pptx

  • 1. 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
  • 2. 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
  • 4. 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