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When Actions Speak Louder than Tweets: Using Behavioral Data for Decision-making

When Actions Speak Louder than Tweets: Using Behavioral Data for Decision-making. Bundle.com is a NYC based start-up that uses data to help people make smarter money decisions.

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When Actions Speak Louder than Tweets: Using Behavioral Data for Decision-making

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  1. When Actions Speak Louder than Tweets: Using Behavioral Data for Decision-making

  2. Bundle.com is a NYC based start-up that uses data to help people make smarter money decisions. Using data from billions of financial transactions, Bundle is able to show people decisions that others like them have made. We believe that this data can lead to better recommendations and better decision-making. 2

  3. Further, we believe that decisions based purely on qualitative measures are leading to mistakes and bad decisions 3

  4. Recommendations on optimizing your spending Transactions level (aggregated and anonymized) financial data US Government Data (Bureau of Labor Statistics, Dept of Labor, Census Bureau etc.) Third party data (e.g. demographics) 4

  5. But rather than telling you about the data, we thought we would show you a real application.. 5

  6. So we did a little experiment….we were hungry… And someone recommended Takashi…a restaurant on Hudson street not far from Bundle

  7. It was rated 4.5 stars on Yelp and 4 stars on Citysearch….it must be good….

  8. ..and, of course, individual ratings were on both ends of the spectrum

  9. Restaurant Relationship Map Balthazar Daniel Rosa Mexicana Saint Ambroeus Spice Market Smith & Wollensky Standard NY

  10. Merchant Intelligence Data – Customer Demo Actual Analysis for one NYC Restaurant (name not shown for competitive purposes)

  11. We asked ourselves a question.. “What if we can see how often people actually go back to Takashi.. ..what if we could give every merchant a score based on how loyal their customers are to them?” 11

  12. We created a Loyalty Score for Takashi 100

  13. We found this quite intriguing and proceeded to score every merchant in New York based on how loyal their customers are to them

  14. Numbers for illustrative purposes only

  15. Numbers for illustrative purpose only

  16. We would love to hear your thoughts… Email me at jaidev@bundle.com To access the alpha version of our recommender, please sign-up at www.bundle.com Thank You! 16

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