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— Case Study · e360data / Acquisition Science

A data asset turned into 204 months of profit.

I recognized the behavioral data inside my own businesses was a valuable asset. I packaged it, proved the model with major data compilers, and built one of the largest suppliers of consumer omnichannel data — profitable for 17 straight years.

Type Startup I built
Company Acquisition Science (A16E)
Industry Consumer data / DaaS
Timeframe 17 years
Situation

Sitting on valuable behavioral data.

My startup studio, Maverick Direct Marketing, was looking for a new startup to build. I recognized that my email and e-commerce businesses held valuable omni-channel behavioral data — consumer names, addresses, opt-in email addresses, and transactional purchase data.

Task

Monetize the data; find product-market fit.

Figure out how to monetize this proprietary data asset — and find product-market fit.

Action

Package it, find the model, integrate.

I treated the data as the product — packaging it, proving the model with buyers, and making it easy to plug in.

Key steps
  • Assembled the data in a privacy-compliant format, using hashed email addresses.
  • Ran customer development with major consumer data compilers to identify the most viable revenue model.
  • Built a seamless integration that let their customers combine my behavioral data with compiled demographic data — targeting consumers in unique, predictive, and novel ways.
  • Rebranded the business from e360data to Acquisition Science.
Result

204 straight months of profit.

I built one of the largest suppliers of consumer omnichannel data — and grew it into a highly profitable startup that operated successfully for 17 years, delivering 204 consecutive months of profitability.

The outcome
  • One of the largest suppliers of consumer omnichannel data.
  • 17 years of successful operation.
  • 204 consecutive months of profitability.
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