Endorphin. Making sense of social data
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Transcript of Endorphin. Making sense of social data
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Making sense of social data endorphin
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Gathering social data isn’t the problem.
Making sense of it is.
PAIN
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VISIONEndorphin - #1 provider of analytical
summaries and scores on people.
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Businesses get• executive summary and
credibility rate on customers, partners or employees
• most influential and valuable customers
• desirable and qualified employees
Individuals get• ratings of 1st and 2nd
degree connections
• comprehensive summary on anyone on the web
• ability to find experts among connections
Processes digital footprints
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1. 2. Data mining
3. Endorpin’s Analytical Platform
4. Happy user gets processed data
data: likes / shares / education / work / interests / video / check-ins /
comments
Scores Personal Summary
HOW DOES IT WORK?
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1. John needs a VC
3. Data mining 1st & 2nd degree connections
4. John can work now with processed data:– Select Success rating– Set industry filter to VC- Explore summaries of top VCs- Connect with them through strongest links
data: likes / shares / education / work / interests / video / check-ins /
comments
USE CASE for John
2. LinkedIN & Facebook to endorphin
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2. Give access to its customers’ information
1. Airb’n’b needs to check user’s credibility to minimize fraud.
3. Select Credibility Scoring
data: likes / shares / education / work / interests / video / check-ins /
comments
USE CASE for Airbnb
4. Apply results to Airbnb DB
For example, discrepancy to reality, damage, purity, etc.
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2. Give access to its customers’ information
1. Amazon needs to check customer’s value or influence to provide them with perks, like special offers, discounts, other benefits.
3. Select Success Scoring or Influence Scoring
data: likes / shares / education / work / interests / video / check-ins /
comments
USE CASE for Amazon
5. Get the List of the Most Valuable or Influential customers
4. Select the minimum acceptable score+
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Klout
Sear
ch
PeerIndex
Radian6
Ark
Various Scores
Kred
Only InfluenceScore
No se
arch
People-Browsr
No Score
People search: Ark – $4,5M seed funding, 250K signups first months
Competitors
Scoring: Klout – $40M funding, 2Bl API calls per month
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Score
Searchark.com
variety of filters to apply to FB database.
Endorphin provides:★ Summaries on anyone
on the web
★ Ability to perform search among 1st & 2nd degree connections by criteria
★ Sort search by ratings: credibility, success, influence
vsscore & search endorphin
give people their influence score
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Pay-per-API call Summaries on employees,
clients, partners.
Metrics Conversion rate: 25%
LTV: $600.000Acquisition cost: $9.000
Endorphin business-models
Freemium Makes money on extra
exploring tools and complex ratings.
Metrics Conversion rates:
- users to views: 70% - paying users to users: 10%
LTV – $350Acquisition cost – $5.4
b2c b2b
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23M active* LinkedIn users* active (at least 1 visit per day) LinkedIn users
with 500+ connections (super-connected) are our Target Audience as people that care the most about their professional network.
App Users’ Market
$552M – in condition of 70% conversion rate, 10% paying users and average bill 120$ per paying user a year
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Business’s Market in U.S.Banking – $880MIn condition of 220M credit-active consumers in 2012, 4 loan’s categories and average cost-per-score/summary $1
E-commerce – $524.3MIn condition of 149,8M online-buyers in 2012, 7 buying categories and average cost-per-score/summary $0.5
Airlines – $192.6MIn condition of 642M airlines’ clients in U.S. in 2012 and average cost-per-score/summary $0.3
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Marketing:• PR (Press Release, News letters,
Conferences and Events)
• SEO (Google Adwords, Web-site optimization)
• Social Media (Facebook Ad, Public Pages, Viral)
• App Promotion (Feedback rating management. Top-25, Editor’s choice)
• E-mail Marketing (CRM, updates, news e-mail delivering)
•Direct Sales to Business
HR: • PR-manager• Sales Manager
Stages:1. Launch MVP2. Test basic product hypotheses3. Proof of basic product hypotheses 4. Start PR, App Promotion, Social
Media and E-mail Marketing5. Test marketing hypotheses 6. Apply changes to Promotion
strategy7. Launch Release 2
Roll-out
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Hypotheses:• People are interested in ratings of
their 1st and 2nd degree connections
•Crucial info summary is useful for users
•Users will check other people out•Users will send emails•Users will add people to favorites
Metrics and Deliverables:(per week)
• App Downloads/App Views = 70%• App Enters/App Users = 2.3•Ratings Views/App Users = 10• Favorites Users/App Users = 2.7•Mails/App Users = 1.8
MVP Launch
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FOUNDERS
TECH TEAM
ADVISORY BOARD
Artem ZavyalovCo-founder, CEO
UX
Yevgen RudyyDesigner
Alexander Skakovskiy Leading developer
Sergey Khristoliubov Tech team lead
Alexander Kukhtenko UX and product manager
Roman SidorenkoCustomer and Product Development, Concept Advisor
Alexandr MertensStrategy and Funding Advisor
Viktor StrelbitskyyCo-founder, COO
endorphin team
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Endorphin’s History1. October 2011 - Endorphin launched as the Platform for seeking
new acquaintances (weakly scalable business model) 2. January 2012 - Pivot to Social Scoring Platform3. April 2012 - Customer Development and Reality Check at
Blackbox Connect Accelerator in Silicon Valley (lean startup, customer development, pitching, networking)
4. May – August 2012 – Prototyping (Design, UX, Technical prototype)
5. September 2012 - Reality Check in Startup Alley at TC Disrupt San Francisco
6. October 2012 – Raised $250K Seed funding from the Untitled VC
7. December 2012 – MVP launch: mobile apps for iOS and Android
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NOW1. We interviewed over 1.000 people personally to prove
the interest for such a service and we got 8 out of 10 people that would like to use it.
2. We've got over a 250 signups for beta-testing invitation at TechCrunch Disrupt SF.
3. We have 75% of code written (15.000 lines which we plan to double in the next two months).
4. We have finalized and proven interactive mobile app prototype which is now been coded (iOS and Android).
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Needs for the next rounds
Investment Opportunities
angel.co/endorphin
$2M
$5M
February 2013$2M from a pool of investors
as convertible notes Cap: 4%, Discount: 20%
November 2013$5M from a pool of investors as equity
Click here
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MVP – Mobile app used to search experts and professionals using scoring algorithms applied to social network data
Endorphin after round A funding:Release 2B2B – Social Scoring Platform with Open API for Businesses; B2C – Mobile App used to search and get an analytical summary of anyone on the web
Release 3B2B – Online Scoring Platform with Open API and DB for Businesses; B2C – Online Scoring App and Site for searching, analyzing and scoring anyone on the web.
ROADMAP
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Sign up
APP TOUR
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HOME screen
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FILTERS
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RATING&FAVES
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Sign up
PROFILE Someone’sMine
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