SOCIAL DATA MAKING SENSE of

endorphin

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An enormous amount of digital data about our lives is being produced daily, and with the smartphone and tablet boom, it will grow exponentially in the next 5 to 10 years.

WHY NOW?

Endorphin was created to make sense of this data and improve the way we live.

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SOLUTIONSocial scoring platform

for digital footprints evaluation

ENDORPHIN APICloud-based

Big data

Open API for developers

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USAGESB2B

Smart social customer segmentation service for e-commerce

B2C Mobile app for smart social search among its 1st and 2nd degree connections.

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Collecting personal digital footprint data from:

DATAAppling knowledge available through scientific researches in sociology, economy, behavioral and cognitive psychology.

Looking forward futuristic data trackers, e.g Nike+ Fuelband, Jawbone up

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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. 

SCORING ALGORITHMS

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B2B

No customer’s dataLow conversion to buying customersHigh CACLow LTV

PAIN POINTS

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• 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

STATISTICS

◉ Influential customers and provide them with perks in return for like/share on Facebook Welthiest customers and offer them loyalty programsAdjustable evaluation algorythms for store’s marketing goals achivement.

E-COMMERCE GET:

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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.comJohn likes/shares the headphones via FacebookJohn gets a promo code to apply in a ckeckout which gives him a 5% discount on the headphonesJohn buys the headphones with a 5% discount

for

BestBuy.com needs to increase conversion to buying customers and decrease customer acquisition cost

◉USE CASE for

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John

John chooses a product – the case for iPhone John goes to check out pageJohn sees call-to-action «Link your Linkedin and try to get a free premium account right now»John signs in with LinkedinJohn gets a free premium accountJohn uses his previledges and get 5% discount

For example, if customer has the income bigger than 120,000$ per year, he/she can get a premium account immediately.

forPREMIUM

Amazon.com needs to increase Lifetime Value

◉USE CASE for

✔

John

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BUSINESS-MODEL

Pay-per-API call

Conversion rate: 25%

LTV: $18K

Acquisition cost: $1K

First 1000 API calls are free

Over 1000 API calls – $0,1 per each

Metrics:

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   U.S. MARKET

$248B*

* In condition of 149,8M online-buyers in 2012

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# %

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METRICS & EXPECTED DELIVERABLES

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1. Monthly growth of API calls = 50%2. Avarage amount of API calls per user per month = 5,0003. Monthly growth of users = 40%4. User/Paying User per month = 25%5. Rate of Return within new users = 70%

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B2C

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 webStrength 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.

USER GET:

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HOW DOES IT WORK?

USE CASE  John’s looking for VC in SV

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1. John launches the app

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2. John applies location filter

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3. John sets industry to Venture Capital

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4. John discovers Rating by Success

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5. John explores summary on Dave McClure

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5. John explores summary on Dave McClure

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5. John explores summary on Dave McClure

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5. John explores summary on Dave McClure

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

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* 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.

APP  MARKET    

$2,76B*

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

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COMPETITORS

Klout$40M

Kred(PeopleBrowsr)

Appinions$3M

M6D$25M

DataSift$30M

Whit.li

PeerIndex$3M

Traackr$2,5M

Wahooly$0,75M

Ambit

Radian6(Acquired

by SalesForce)

SproutSocial$11M

MyWebCareer

CrowdBooster(YC-baked)

Scoring

Analytics

Platform

Service

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UNLIKE COMPETITORS ENDORPHIN:

Evaluates Success, Likemindness, Wealth, Strength of ConnectionEvaluates Social GraphProvides Open API with ScoringAdjustment for developers, businesses, etc.

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Artem ZavyalovCo-founder, CEO.

Role in a team: product management and development, vision, strategy, concept. Sees the overall picture.

Roman SidorenkoCustomer and Product Development, Concept Advisor

Vasyl KryvonosCTO, Certified PM, experienced tech-team lead

Victor StrelbitskyyCo-founder and COO. Role in a team: team’s management, operational issues, presentations. Pays attention to details.

FOUNDERS

ADVISORSTEAM

4 Highly Experienced engineers in Tech Team and 2 UX pros in UX Team

andMichael KozloffBusiness Development Advisor

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   KEY IP

Proprietary data warehouse platform, including ETL tools and algorithmsProprietary scorecards and decision-making platform

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October 2011 – Endorphin launched as the Platform for seeking new acquaintances (weakly scalable business model) January 2012 – Pivot to Social Scoring PlatformApril 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 VCDecember 2012 – Finalist at Techcrunch Moscow Startup BattleFieldMarch 2013 - Awarded with $60K grant from Microsoft (BizSpark+)April 2013 – MVP launch: mobile apps for iOS and Android

ENDORPHIN’S HISTORY

Intervied over 400 people personally to prove the interest for such a service with 8 out of 10 people willing to use itOver 300 signups for app beta-testing at TechCrunch Disrupt SF15 000 lines of code writtenPlatform’s beta-API

Demonstration of platform’s API in iOS and Android Mobile app

NOW

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Release 3Big Social Data Platform with Open API for businesses and developers

ROADMAP

MVP – Launching mobile app to demonstrate platform’s API.

Release 2Smart social customer segmentation service for e-commerce

Endorphin after round A funding:

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Needs for the next rounds 

INVESTMENT

Semptember 2012$0,25M pre-seed investments from

The Untitled VC

Click here

May 2013$2M from a pool of investors as convertible notes

$2M

$0,25M

angel.co/endorphin

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