SlideShare a Scribd company logo
1
Group 4
Pranay Bakhtawar | Priyanka Mishra | Pratyush Rahul | Puneet Bhardwaj | Rajat Aggarwal
THE YES
Reimagining the Future of E-Commerce
with Artificial Intelligence (AI)
2
What is the “The YES” ?
Use technology to create a personalized shopping experience by
offering tailored recommendations
MISSION STATEMENT
Ecommerce Company
– App only
Sell Fashion To Women
Uses data to personalize
experience
Works with various brands to
sell their catalogue
Makes revenue through
commission on sales
3
YES Technology Offerings
Brand Integrations
Adaptive, User
Centric Ecommerce
Platforms
Fashion Algorithms
Algorithm Meets
User Experience
The
YES
Platform
Brand
Partners
Customers
TECHNOLOGY TECHNOLOGY
4
The Story So Far (since Launch)
Launched in May 2020 to great fanfare. Has 30,000 users by August
2020 | Monthly Sales of ~ $2,50,000
Initial Customer Research
Performance Marketing Tests
• Customer Acquisition Cost was $100
• Organic and Sharing Acquisition Channel lead to highest 2nd Week Retention
• Highest installs (2,000) through Social, but lowest 2nd Week Retention
FASHIONISTA
Likes having brands
Knows Exactly What to Buy
Heavy user of search bar
Budget $250 - $500 for a top| $500+ for a dress
FASHION FOLLOWER
Looks for family and friends for affirmation
Looks for Ease of Discovery product/brand mix
Uses YES for Inspiration & recommendation
Budget $75 - $150 for a top| $150 for a dress
5
Monthly Numbers
Parameter Numbers Unit of Measurement
Total Users 30,000 Users
Users who took action 85% %
Users who took action (# Users) 25,500 Users
Conversion from Activity to Transaction 4% %
Users who undertook a transaction 1020 Transaction
Average Order Value 225 Dollar
Total Sales 2,29,500 Dollar
Avearge Units Per Transaction 1.8 Units
Commission Earned 25% %
Total Commission Earned by the YES 57,375 Dollar
6
The Decision Dilemma
Spend more money on customer
acquisition to get more customers to
make the algorithm better
Work on making the algorithm and the
offering better before investing to get
more customers
• The algorithm is not good enough
• Will lead to disappointed users
• Negative Social Media
• Gives time for competition to replicate
• There will always be room to improve
• Low sales will frustrate brand partners
• More Users = More Data = Better Algo
• Drives better revenue for Brand Partner
• More users/data better for FB
Campaigns
• Improve customer conversion
• Further Optimize CAC numbers
• Build Website for better SEO
Solution
Possible
Risks &
Negatives
Possible
Upside
Path A Path B
7
Analysis – 4Ps
PLACE
PROMOTION
PRICE
The entire interaction and transaction takes place
ONLINE through the means of a mobile app
The platform gets traffic through various channels
PR, Organic Social, Paid Social and Referral and
Press Coverage
Dynamic Tracking & real time response – Lowest
Pricing for the clothing items
The implicit price is also the privacy of users
PRODUCT
The product is a personalized shopping experience
for women
8
Analysis – 5Cs of Marketing Strategy
COMPANY
The Company is tech-driven
online retails company with an
experienced promoters
CUSTOMER
The Aim is to give customers i.e.
women fashion shoppers - a
personalized shopping
experience
COMPETITION
Any online fashion aggregator
like Amazon, Nordstorm selling
similar items is competition
COLLABORATOR
Fashion brands whose clothes
will be merchandized and sold
on the platform
CONTEXT
Customers are rapidly migrating to online shopping
Rising concerns regarding privacy
9
Other Information
Other Revenue models which can be explored
Customer Conversion & Retention Metrics need improvement for next funding
To Leverage Google, there is a requirement to develop a website
Relatively Early Days for the Company | 30,000 Monthly Active Users | 34 Employees
Partner Brands will required higher volumes (higher sales) to continue selling on the YES
10
The YES - STP
The YES as a shopping platform
serves the following
1. Online Shoppers
2. People who use apps
3. Fashion Shoppers
4. Women Shoppers
The value prop of the firm is
already well designed. However,
the execution needs to be
improved upon
“A women who wants to shop;
not one who wants her
shopping to be done for her”
Based on our analysis, The YES
should target the “Fashion
Follower” Cohort of Customers
1. Their shopping habits are
more in sync with the value
prop of the platform
2. They were more satisfied
with the platform’s
personalization feature
SEGMENTATION TARGETTING POSITIONING
11
Product Market Fit
What is Product Market Fit?
Product-market fit describes a scenario in
which a company’s target customers are
buying, using, and telling others about the
company’s product in numbers large enough
to sustain that product’s growth and
profitability.
Has the YES Achieved product market fit? NOT COMPLETELY
12
Which Path to Take
Spend more money on customer
acquisition to get more customers to
make the algorithm better
Work on making the algorithm and the
offering better before investing to get
more customers
• The algorithm is not good enough
• Will lead to disappointed users
• Negative Social Media
• Gives time for competition to replicate
• There will always be room to improve
• Low sales will frustrate brand partners
• More Users = More Data = Better Algo
• Drives better revenue for Brand Partner
• More users/data better for FB
Campaigns
• Improve customer conversion
• Further Optimize CAC numbers
• Build Website for better SEO
Solution
Possible
Risks &
Negatives
Possible
Upside
Path A Path B
13
Suggested Solutions & Way Forward
Optimize &
Develop
• Use Resources towards improving the algorithm to make the
sales conversion better
• Invest towards making a website (to use Google)
• Improve and further optimize paid marketing performance –
retention metrics of paid marketing are not as good as the ones
from organic marketing
Focus on One Group
(Better Targeting)
Develop New
Revenue Streams
• Focus just on the Fashion Follower Group; not on Fashionistas
• FF use app with the intended use; data from usage also supports
• Fashion Influencers – Use them to drive more customers &
revenue to the brand
• White Label Technology for Fashion Brands – Leverage the
existing technology stack to build online solutions for brands
Thank You
Any questions?
14

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The YES - Class Presentation (version 1).pdf

  • 1. 1 Group 4 Pranay Bakhtawar | Priyanka Mishra | Pratyush Rahul | Puneet Bhardwaj | Rajat Aggarwal THE YES Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
  • 2. 2 What is the “The YES” ? Use technology to create a personalized shopping experience by offering tailored recommendations MISSION STATEMENT Ecommerce Company – App only Sell Fashion To Women Uses data to personalize experience Works with various brands to sell their catalogue Makes revenue through commission on sales
  • 3. 3 YES Technology Offerings Brand Integrations Adaptive, User Centric Ecommerce Platforms Fashion Algorithms Algorithm Meets User Experience The YES Platform Brand Partners Customers TECHNOLOGY TECHNOLOGY
  • 4. 4 The Story So Far (since Launch) Launched in May 2020 to great fanfare. Has 30,000 users by August 2020 | Monthly Sales of ~ $2,50,000 Initial Customer Research Performance Marketing Tests • Customer Acquisition Cost was $100 • Organic and Sharing Acquisition Channel lead to highest 2nd Week Retention • Highest installs (2,000) through Social, but lowest 2nd Week Retention FASHIONISTA Likes having brands Knows Exactly What to Buy Heavy user of search bar Budget $250 - $500 for a top| $500+ for a dress FASHION FOLLOWER Looks for family and friends for affirmation Looks for Ease of Discovery product/brand mix Uses YES for Inspiration & recommendation Budget $75 - $150 for a top| $150 for a dress
  • 5. 5 Monthly Numbers Parameter Numbers Unit of Measurement Total Users 30,000 Users Users who took action 85% % Users who took action (# Users) 25,500 Users Conversion from Activity to Transaction 4% % Users who undertook a transaction 1020 Transaction Average Order Value 225 Dollar Total Sales 2,29,500 Dollar Avearge Units Per Transaction 1.8 Units Commission Earned 25% % Total Commission Earned by the YES 57,375 Dollar
  • 6. 6 The Decision Dilemma Spend more money on customer acquisition to get more customers to make the algorithm better Work on making the algorithm and the offering better before investing to get more customers • The algorithm is not good enough • Will lead to disappointed users • Negative Social Media • Gives time for competition to replicate • There will always be room to improve • Low sales will frustrate brand partners • More Users = More Data = Better Algo • Drives better revenue for Brand Partner • More users/data better for FB Campaigns • Improve customer conversion • Further Optimize CAC numbers • Build Website for better SEO Solution Possible Risks & Negatives Possible Upside Path A Path B
  • 7. 7 Analysis – 4Ps PLACE PROMOTION PRICE The entire interaction and transaction takes place ONLINE through the means of a mobile app The platform gets traffic through various channels PR, Organic Social, Paid Social and Referral and Press Coverage Dynamic Tracking & real time response – Lowest Pricing for the clothing items The implicit price is also the privacy of users PRODUCT The product is a personalized shopping experience for women
  • 8. 8 Analysis – 5Cs of Marketing Strategy COMPANY The Company is tech-driven online retails company with an experienced promoters CUSTOMER The Aim is to give customers i.e. women fashion shoppers - a personalized shopping experience COMPETITION Any online fashion aggregator like Amazon, Nordstorm selling similar items is competition COLLABORATOR Fashion brands whose clothes will be merchandized and sold on the platform CONTEXT Customers are rapidly migrating to online shopping Rising concerns regarding privacy
  • 9. 9 Other Information Other Revenue models which can be explored Customer Conversion & Retention Metrics need improvement for next funding To Leverage Google, there is a requirement to develop a website Relatively Early Days for the Company | 30,000 Monthly Active Users | 34 Employees Partner Brands will required higher volumes (higher sales) to continue selling on the YES
  • 10. 10 The YES - STP The YES as a shopping platform serves the following 1. Online Shoppers 2. People who use apps 3. Fashion Shoppers 4. Women Shoppers The value prop of the firm is already well designed. However, the execution needs to be improved upon “A women who wants to shop; not one who wants her shopping to be done for her” Based on our analysis, The YES should target the “Fashion Follower” Cohort of Customers 1. Their shopping habits are more in sync with the value prop of the platform 2. They were more satisfied with the platform’s personalization feature SEGMENTATION TARGETTING POSITIONING
  • 11. 11 Product Market Fit What is Product Market Fit? Product-market fit describes a scenario in which a company’s target customers are buying, using, and telling others about the company’s product in numbers large enough to sustain that product’s growth and profitability. Has the YES Achieved product market fit? NOT COMPLETELY
  • 12. 12 Which Path to Take Spend more money on customer acquisition to get more customers to make the algorithm better Work on making the algorithm and the offering better before investing to get more customers • The algorithm is not good enough • Will lead to disappointed users • Negative Social Media • Gives time for competition to replicate • There will always be room to improve • Low sales will frustrate brand partners • More Users = More Data = Better Algo • Drives better revenue for Brand Partner • More users/data better for FB Campaigns • Improve customer conversion • Further Optimize CAC numbers • Build Website for better SEO Solution Possible Risks & Negatives Possible Upside Path A Path B
  • 13. 13 Suggested Solutions & Way Forward Optimize & Develop • Use Resources towards improving the algorithm to make the sales conversion better • Invest towards making a website (to use Google) • Improve and further optimize paid marketing performance – retention metrics of paid marketing are not as good as the ones from organic marketing Focus on One Group (Better Targeting) Develop New Revenue Streams • Focus just on the Fashion Follower Group; not on Fashionistas • FF use app with the intended use; data from usage also supports • Fashion Influencers – Use them to drive more customers & revenue to the brand • White Label Technology for Fashion Brands – Leverage the existing technology stack to build online solutions for brands