PAINGathering social data isn’t the problem. Making sense of it is.
VISIONEndorphin - #1 provider of analytical summaries and scores on people.
Processes digital footprintsBusinesses get Individuals get• executive summary and credibility rate on • ratings of 1st and 2nd degree connections customers, partners or employees • comprehensive• most inﬂuential and valuable customers summary on anyone on the web• desirable and qualiﬁed employees • ability to ﬁnd experts among connections
1. 2. Data mining 3. Endorpin’s Analytical PlatformHOW DOES ITWORK? 4. Happy user gets processed data Scores Personal Summary
1. John needs a VC USE CASE for John2. LinkedIN & Facebook to endorphin 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
1. Airb’n’b needs to check USE CASEuser’s credibility to for Airbnbminimize fraud.For example, discrepancy to reality, damage,purity, etc. 4. Apply results to Airbnb DB2. Give access to itscustomers’ information 3. Select Credibility Scoring
1. Amazon needs to check USE CASEcustomer’s value orinfluence to provide them for Amazonwith perks, like specialoffers, discounts, other 5. Get the List ofbenefits. the Most Valuable2. Give access to its or Influentialcustomers’ information customers3. Select Success Scoring 4. Select the minimumor Influence Scoring + acceptable score
Competitors People search: Ark – $4,5M seed funding, 250K signups ﬁrst months People-Search Browsr Ark Radian6 Scoring: Klout – $40M funding, 2Bl API calls per monthNo search Kred Peer Klout Index No Score Only Inﬂuence Various Scores Score
score & search vs endorphin Score Endorphin provides: ★ Summaries on anyone on the web ★ Ability to perform search give people their among 1st & 2nd degree inﬂuence score connections by criteria ★ Sort search by ratings: credibility, success, Search ark.com inﬂuencevariety of ﬁlters to apply to FB database.
Endorphin business-models b2c b2b Freemium Pay-per-API call Makes money on extra Summaries on employees,exploring tools and complex clients, partners. ratings. Metrics Metrics Conversion rates: Conversion rate: 25% - users to views: 70% LTV: $600.000 - paying users to users: 10% Acquisition cost: $9.000 LTV – $350 Acquisition cost – $5.4
App Users’ Market 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.$552M – in condition of 70% conversion rate, 10% paying users and average bill 120$ per paying user a year
Business’s Market in U.S. Banking – $880M In condition of 220M credit-active consumers in 2012, 4 loan’s categories and average cost-per-score/ summary $1 E-commerce – $524.3M In condition of 149,8M online-buyers in 2012, 7 buying categories and average cost-per-score/ summary $0.5 Airlines – $192.6M In condition of 642M airlines’ clients in U.S. in 2012 and average cost-per-score/summary $0.3
Roll-outMarketing: HR:• PR (Press Release, News letters, • PR-manager Conferences and Events) • Sales Manager• SEO (Google Adwords, Web-site optimization) Stages: 1. Launch MVP• Social Media (Facebook Ad, Public 2. Test basic product hypotheses Pages, Viral) 3. Proof of basic product hypotheses• App Promotion (Feedback rating management. Top-25, Editor’s 4. Start PR, App Promotion, Social choice) Media and E-mail Marketing 5. Test marketing hypotheses• E-mail Marketing (CRM, updates, news e-mail delivering) 6. Apply changes to Promotion strategy• Direct Sales to Business 7. Launch Release 2
MVP LaunchHypotheses: Metrics and Deliverables: (per week)• People are interested in ratings of their 1st and 2nd degree • App Downloads/App Views = 70% connections • App Enters/App Users = 2.3• Crucial info summary is useful for • Ratings Views/App Users = 10 users • Favorites Users/App Users = 2.7• Users will check other people out • Mails/App Users = 1.8• Users will send emails• Users will add people to favorites
endorphin team FOUNDERS ADVISORY BOARDArtem Zavyalov Roman SidorenkoCo-founder, CEO Customer and Product Development, Concept AdvisorViktor Strelbitskyy Alexandr MertensCo-founder, COO Strategy and Funding Advisor UX TECH TEAMYevgen Rudyy Sergey KhristoliubovDesigner Tech team leadAlexander Kukhtenko Alexander SkakovskiyUX and product manager Leading developer
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 Francisco6. October 2012 – Raised $250K Seed funding from the Untitled VC7. 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. Weve 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).
Investment Opportunities Needs for the next rounds $5M November 2013 $5M from a pool of investors February 2013 $2M as equity$2M from a pool of investors as convertible notes Cap: 4%, Discount: 20% Click here angel.co/endorphin
ROADMAPMVP – Mobile app used to search experts and professionals usingscoring algorithms applied to social network dataEndorphin 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 ofanyone on the webRelease 3B2B – Online Scoring Platform with Open API and DB for Businesses;B2C – Online Scoring App and Site for searching, analyzing andscoring anyone on the web.