3. Team
Ashish Gupta
• Alumni - IIT, Delhi (2001)
• Partner – Tekriti Software (Acquired & amalgamated into a public
company – Kellton Tech)
• Co-Founder – StudyPlaces.com (Acquired by Educomp)
• Six Sigma Black-belt
• Core Expertise: Product, Technology Management & Business
Development
4. Team
Lavesh Bhandari
• Alumni - IIT, Delhi (2011)
• Technical Analyst – Royal Bank of Scotland
• Core Expertise: Building across platforms
and interfaces
10. Features
The Enablers
• Recommendation Engine
• Cashback (Multi Layer)
Hot Sauce
• Business Intelligence For Retailers
• Targeted Localized Marketing
• Product Discovery (The “Google Now” of Products)
• Partnerships
11. Platforms
Plugin Pivotal medium for Mobile
Expected to be the
tracking user primary medium of
behavior & pushing consumption in
truly differentiated coming times
services
Website
Essential platform
for initial
engagement & SEO
/ Social strategies
12. Plugin Strategy
GATHER DATA on EMPOWER
Utilize AUTOMATED user search, browse & RETAILERS to setup
transaction behavior
ACTIVATION to targeted campaigns
deliver ease of use for ACROSS ALL SITES based on user analytics;
enablers; enhance with to power the product POWER
discovery for users &
SOCIAL TWEAKS business intelligence for PARTNERSHIPS via
retailers plugins/widgets
13. Mobile Strategy
Launch a specialized SHOPPING
BROWSER for monitoring the Backup browser with an APP to
user behavior and delivering the
deliver services PULLED by user.
DIFFERENTIATED SERVICES
(PUSH)
15. Market Size
• Affiliate Marketing Spend US* : $ 4 Billion
• Affiliate Marketing Spend UK* : £ 5 Billion
“Nearly every Internet
Retailer Top 500 merchant
has an affiliate program;
and while it differs from one
merchant to
another, affiliate-referred
sales tend to range from
Geno Prussakov
10% to 40% of all their
Organizer, Affiliate Management sales”
Days * Source: Forrester
16. Unit Economics
• The financial model is based on affiliate commission. High level unit economics
provided below:
– Average Transaction Size : USD 70*
– Transactions Per User Per Year : 12
– Affiliate Commissions : 2.5%
– Revenue Per User Per Year : USD 21
– Revenue Passed On (MLM/Cashback) : 67%
– Margin Per User Per Year : USD 7
It is very likely that our initial product mix will be much
higher value but lower transactions per year
* Source: Comscore
20. Preview: Mobile
Browser
Get 4% Cashback Go 20,890 @ Go
at Jabong
21. Screencast: Current Mobile
Browser
User launches TSP browser as
a regular browser
User enters the site of interest
All the relevant information
will be shown right there as
the site loads (cashback in
this example)
Clicking “Go” sets the tracking
cookies by refreshing the
page. Now all purchases will
be eligible for cashback.
22. Current Relationships
Affiliate tie ups with about 40 key retailers
The fact that I can not only win more
business but also understand what
my consumers are doing outside of
my site makes me ask only one
question: When are you guys
launching?
Prashant Tandon, Founder & CEO
Healthkart.com
TheShoppingPro’s ability to help
me get traffic from my competitor’s
website makes it really exciting!!
Pearl Uppal, Co-Founder
Fashion & You
23. Pre-Alpha (DONE)
The main goal of the pre-alpha was to validate the ACCEPTABILITY OF THE PLUGIN & EASE
OF USE that it brought. Some results shared below (under 100 users across India & US):
Tested the overall system out and made some initial (albeit miniscule)
revenues
25. Alpha
Focus on the PLUGIN & BROWSER
• Test for adoption
• Prove effectiveness when used
• Prove social strategies work
• Show practical value of Business
Intelligence, Targeted Marketing &
Partnerships
26. Alpha Launch Plan
LAUNCH…
• with enablers within 2 months and have the hot sauce ready within 8 months.
GET TRACTION…
• and prove hypothesis over a period of 18 months
FOCUS ON THE INDIAN MARKET…
• during this phase but undertake trial runs in US & UK to confirm reproducibility
of the model
37. Creating Entry
Barriers
USABILITY
• The nature of the plugin makes it impossible for a user to use two competing
plugins simultaneously
MLM
• Competitors may replicate the model but will find it hard to move an established
MLM
PARTNERSHIP
• Partners will be reluctant to move as by doing so, they will miss out on the long
term revenues from the purchases of consumers referred.
38. Leverage With Big
Players
LESS DEPENDENCE ON BIGGIES
• The system does not require the host sites’ data in its
database, so it is effective in taking traffic away from non-
participant site. This consequently gives a leverage with
big players