Endorphin. Making sense of social data

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Transcript of Endorphin. Making sense of social data

Making sense of social data endorphin

Gathering social data isn’t the problem.

Making sense of it is.

PAIN

VISIONEndorphin - #1 provider of analytical

summaries and scores on people.

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

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?

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

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.

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+

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

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

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

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

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

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

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

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

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

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).

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

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

Sign  up

APP TOUR

HOME screen

FILTERS

RATING&FAVES

Sign  up

PROFILE Someone’sMine

COMING SOON

Copyright  ©  2012  All  rights  reserved.

endorphin.metema@endorphin.me