Endorphin is a social scoring platform that evaluates peoples' digital footprints. It offers its API for developers and businesses.

1. MAKING SENSE of
SOCIAL DATA
endorphin

2. WHY NOW?
An enormous amount of digital data
about our lives is being produced daily, Endorphin was created to make sense
and with the smartphone and tablet of this data and improve the way we
boom, it will grow exponentially in the live.
next 5 to 10 years.
2

3. SOLUTION
Social scoring platform
for digital footprints evaluation
Open API for developers
Big data
ENDORPHIN API
Cloud-based
3

4. USAGES
B2B B2C
Smart social customer Mobile app for smart social
segmentation service for e- search among its 1st and 2nd
commerce degree connections.
4

5. DATA
◉ Collecting personal digital ◉ Appling knowledge available through
footprint data from: scientific researches in sociology,
economy, behavioral and cognitive
psychology.
Looking forward futuristic
data trackers, e.g Nike+
Fuelband, Jawbone up
5

6. SCORING ALGORITHMS
Endorphin uses scorecards to evaluate the
weight of each variable in the scoring
formulas, e.g. education, career dynamics,
travel history, activities etc. from trusted data
sources on top universities, restaurants,
companies, attractions, etc.

7.
B2B
7

8. PAIN POINTS
◉ No customer’s data
◉ Low conversion to buying customers
◉ High CAC
◉ Low LTV

9. STATISTICS
• The U.S. e-commerce market is big ($200B+), getting
bigger (9% CAGR through 2015), and still early (only 9% of
total retail)
• Data will grow over 800% in the next 5 years and 80% of
these data will be unstructured
9

10. E-COMMERCE GET:
◉ Influential customers and provide them with perks in
return for like/share on Facebook
◉ Welthiest customers and offer them loyalty programs
◉ Adjustable evaluation algorythms for store’s marketing
goals achivement.

11. ◉ BestBuy.com needs to increase
USE CASE
conversion to buying customers and
decrease customer acquisition cost for
✔ For example, if a customer is influential, he/she is
offered 5% discount on a desired product in return for
like/share of this product on Facebook.
John sees call-to-action «Link your Facebook or Twitter and get a discount
depending on your Influence right now»
John signs up with Facebook and/or Twitter to bestbuy.com
John likes/shares the headphones via Facebook
John gets a promo code to apply in a ckeckout which gives him a 5% discount
John on the headphones
John buys the headphones with a 5% discount
for
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12. USE CASE
◉ Amazon.com needs to increase
Lifetime Value for
✔ For example, if customer has the income bigger than
120,000$ per year, he/she can get a premium account
immediately.
John chooses a product – the case for iPhone
John goes to check out page
John sees call-to-action «Link your Linkedin and try to get a free premium
account right now»
John signs in with Linkedin
John John gets a free premium account
John uses his previledges and get 5% discount
PREMIUM for

13. BUSINESS-MODEL
Pay-per-API call
First 1000 API calls are free
Over 1000 API calls – $0,1 per each
Metrics:
Conversion rate: 25%
LTV: $18K
Acquisition cost: $1K
13

14. U.S. MARKET
$248B*
* In condition of 149,8M online-buyers in 2012
14

15. METRICS & EXPECTED
×
DELIVERABLES
∞ % ≈
1. Monthly growth of API calls = 50%
2. Avarage amount of API calls per user per month = 5,000
∀ 3. Monthly growth of users = 40%
4. User/Paying User per month = 25%
5. Rate of Return within new users = 70%
÷
∀ ∑
# % ⨍

16.
B2C
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17. USER GET:
Ability to perform search among 1st & 2nd degree connections by criteria
Sort search by ratings (success, influence, likemindness, strength of connections)
Comprehensive summary on anyone on the web
Strength of connection towards person of interest.
◉ Processing and analyzing digital footprint data of your social connections gives useful
insights to making more educated decisions in new personal and professional
relationship.

18. HOW DOES IT WORK?
USE CASE
John’s looking for VC in SV

19. 1. John launches
the app
19

20. 2. John applies
location filter
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21. 3. John sets
industry to
Venture Capital
21

22. 4. John discovers
Rating by Success
22

23. 5. John explores
summary on Dave
McClure
23

24. 5. John explores
summary on Dave
McClure
23

25. 5. John explores
summary on Dave
McClure
23

26. 5. John explores
summary on Dave
McClure
23

27. 6. Johns looks for
the strongest link
between him and
Dave
24

28. APP
MARKET
$2,76B*
* In condition of > 23M active users of LinkedIn with
500+ connections are our Target Audience as people that
care the most about their professional network. 25

29. B2C BUSINESS MODEL
Freemium
Makes money on extra exploring tools and
complex ratings.
Metrics:
Conversion rate views/users: 70%
Conversion rate for paying user: 10%
LTV: $350
CAC: $3.4

30. COMPETITORS
Scoring
Ambit
Wahooly
$0,75M Kred
Klout (PeopleBrowsr)
$40M
Appinions
Traackr $3M
$2,5M PeerIndex
$3M
M6D
$25M
Service
Radian6 Platform
(Acquired
by SalesForce)
MyWeb
Career
DataSift
SproutSocial
$30M
$11M
CrowdBooster
(YC-baked) Whit.li
Analytics 27

31. UNLIKE COMPETITORS
ENDORPHIN:
◉ Evaluates Success, Likemindness, Wealth, Strength of
Connection
◉ Evaluates Social Graph
◉ Provides Open API with Scoring
◉ Adjustment for developers, businesses, etc.
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32. FOUNDERS
Artem Zavyalov Victor Strelbitskyy
Co-founder, CEO.
Co-founder and COO.
Role in a team: product
Role in a team: team’s management,
management and development,
operational issues, presentations.
vision, strategy, concept. Sees
Pays attention to details.
the overall picture.
TEAM ADVISORS
Vasyl Kryvonos Roman Sidorenko
CTO, Certified PM, experienced Customer and Product Development,
tech-team lead Concept Advisor
and
Michael Kozloff
4 Highly Experienced engineers in Tech Team and Business Development Advisor
2 UX pros in UX Team
29

33. KEY IP
◉ Proprietary data warehouse platform, including
ETL tools and algorithms
◉ Proprietary scorecards and decision-making
platform
30

34. ENDORPHIN’S HISTORY
October 2011 – Endorphin launched as the Platform for seeking new
acquaintances (weakly scalable business model)
January 2012 – Pivot to Social Scoring Platform
April 2012 – Customer Development and Reality Check at Blackbox Connect
Accelerator in Silicon Valley (lean startup, customer development, pitching,
networking)
May - August 2012 – Prototyping (Design, UX, Technical prototype)
September 2012 – Reality Check in Startup Alley at TC Disrupt San Francisco
October 2012 – Raised $250K Seed funding from the Untitled VC
December 2012 – Finalist at Techcrunch Moscow Startup BattleField
March 2013 - Awarded with $60K grant from Microsoft (BizSpark+)
April 2013 – MVP launch: mobile apps for iOS and Android

35. NOW
◉ Intervied over 400 people personally to prove the interest for such a service
with 8 out of 10 people willing to use it
◉ Over 300 signups for app beta-testing at TechCrunch Disrupt SF
◉ 15 000 lines of code written
◉ Platform’s beta-API
◉ Demonstration of platform’s API in iOS and Android Mobile app

36. ROADMAP
MVP – Launching mobile app to demonstrate platform’s API.
Endorphin after round A funding:
Release 2
Smart social customer segmentation service for e-commerce
Release 3
Big Social Data Platform with Open API for businesses and developers

37. INVESTMENT
Needs for the next rounds
May 2013
$2M
$2M from a pool of investors as
Semptember 2012 $0,25M convertible notes
$0,25M pre-seed investments from
The Untitled VC
Click here
angel.co/endorphin
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38. endorphin.me
COMING SOON TO &
tema@endorphin.me
str@endorphin.me
Copyright © 2013 All rights reserved.