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Data in Online Payments

Explore how TrialPay's CEO, Alex Rampell, emphasizes the importance of data in online payments. Discover how the value of data exceeds fees, benefiting retailers, payment companies, and more. Learn how collecting and monetizing data can drive new customer acquisitions.

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Data in Online Payments

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  1. Data in Online Payments CEO, TrialPay Alex Rampell

  2. TrialPay’s Philosophy Most payment companies focus on how much to charge per transaction without upsetting merchants.

  3. TrialPay’s Philosophy At TrialPay, we think payments should be free.

  4. TrialPay’s Philosophy The value of a transaction is not the fees—it’s in the data.

  5. Who Benefits From Online Transactions Today? Retailer: Payment Company: Shipping Company: Oil Company: Search Engine: Travel Site: Payment Company: Oil Company: Search Engine: Payment companies take 2-3% but merchants hate paying that Search engines can take 30% because they are generating customers

  6. The Value of Data From Transactions Often Exceeds Fees Fees Data Contact Information Demographic Data User Intent Purchase History Spending Patterns • Interchange • Shipping • Manufacturing Costs • Taxes • Fuel Costs Commodities Merchants push the price down as much as possible Unique Assets Merchants clamor to reach new, targeted customers

  7. Type of Data From Transactions Demographic Information age, gender, language Location store address, city, state, country Purchase both as a discrete unit and as a series User Intent reason for purchase, future purchases that will be necessary

  8. Buying Behavior Can Be Inferred From Data Name: John Doe Email: john.doe@gmail.com Age: 40 Gender: Male City: San Francisco Purchase History: Tennis Racquet, Athletic Shoes, Clothing John Doe Amazon Shopper

  9. Buying Behavior Can Be Inferred From Data Tennis Lessons Tennis Equipment Tennis Club Membership Tennis Match Tickets John Doe Amazon Shopper

  10. Payment Data Presents Opportunities Payment companies are in the best position to send customers because they can: 1 Collect and aggregate data (Amazon for everything) 2 Monetize data (respectfully, without selling data) It’s easy to see how this is worth more than 2%...

  11. Collect and Aggregate Data Retailers use aggregate purchase and browsing history to suggest products: Cross-Sells: Retargeting:

  12. Collect and Aggregate Data Source: Hunch.com

  13. Monetize Data

  14. Monetize Data Payment companies can monetize data collected from transactions to generate more transactions It’s why the value of data > fees

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