MATCH MAKER - Stanford Facebook Class

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  • MATCH MAKER - Stanford Facebook Class

    1. FROM M ATCH M AKER TO S QUEEZE M E Brian Berseth Evan Rosenfeld Clay Whitehead
    2. M ATCH M AKER <ul><li>A WESOME , </li></ul><ul><li>right? </li></ul>C REATE I NVITE V OTE E NGAGE
    3. FAILED <ul><li>Broken Feedback Loops </li></ul>M ATCH M AKER
    4. A N EW A PPROACH… <ul><li>A simple 1-to-1 action model </li></ul>
    5. T HE N EW L INE U P
    6. S QUEEZE M E T AKES O FF !
    7. S QUEEZE M E Demographics <ul><li>Geography: </li></ul><ul><ul><li>33% UK </li></ul></ul><ul><ul><li>20.1% Canada </li></ul></ul><ul><ul><li>8% US </li></ul></ul><ul><ul><li>6% Australia </li></ul></ul><ul><li>Average Age: ~30-50 </li></ul><ul><li>~1% of users are in university! </li></ul>
    8. G ROWTH T RENDS Server Crash
    9. G ROWTH T RENDS Server Crash
    10. A Mathematical Model? <ul><li>Number of new users is directly proportional to number of squeezes sent on the same day ! (r 2 = .968) </li></ul><ul><li>App users receive and respond to invitations the day they are sent! </li></ul>
    11. Concluding Thoughts <ul><li>40,000 in four weeks with SqueezeMe </li></ul><ul><li>Doubled in the last week </li></ul><ul><li>Talk to us: </li></ul><ul><ul><li>Questions about our methods </li></ul></ul><ul><ul><li>Want to target SqueezeMe’s demographic </li></ul></ul><ul><ul><li>Further insights </li></ul></ul>

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