Startup Datacoup Will Pay You $8 a Month If Your Feed It Data from Facebook, Twitter, and Your Credit Card
A startup called Datacoup is far from the only tech company hoping to get rich by selling insights mined from your personal data. But it may be the only one offering to give you money for that information.
Context & Ripple Effects
The story lands on terrain Technology Review has mapped before: 'What Facebook Knows' (June 2012) detailed how much behavioral data the platform extracts, and TechCrunch's 'free labor' analysis argued last September that user-generated data lets tech giants widen the wealth gap while users get nothing. Datacoup's pitch — confirmed by the company itself — is to flip that ledger by paying users $8 a month for access to their Facebook, Twitter, and credit-card feeds, then reselling mined insights with a revenue share back to the user.
It arrives into a hot funding climate: Bloomberg noted in December 2013 that Twitter's IPO sparked investor interest in social-data startups, so a company promising to broker personal data has both supply (user feeds) and demand-side tailwinds. That the piece was picked up by outlets like Motherboard and VCPOST suggests the pay-users-for-data framing, more than the startup itself, is what travels.
First-order effects
- Datacoup puts an explicit monthly price tag — $8 — on a bundle of social and financial feeds, making personal data a negotiated commodity rather than something given away in exchange for free services.
- Facebook and Twitter become upstream suppliers through their own users' accounts, without any deal on their side — their terms-of-service and API posture toward third-party brokers is now directly implicated.
Second-order effects
- Other personal-data and analytics startups face pressure to answer the obvious user question — why does Datacoup pay and you don't? — forcing compensation models onto rivals who monetize the same feeds silently.
- Advertisers and insight-buyers gain a second procurement channel for consumer data that bypasses the platforms themselves, which threatens to commoditize the middleman position Facebook and Twitter occupy between users and marketers.
Third-order effects
- If paid data-sharing proves out, the 'users work for free' structure documented in the 2012-2013 coverage starts to erode at the margin: platforms would compete partly on whether users capture value from their own behavioral exhaust.
- A liquid retail market for personal data would likely draw regulatory attention to consent, portability, and resale rights — questions the current ad-supported model has never had to price explicitly.
The trend: Personal data is beginning to acquire a consumer-facing price as startups like Datacoup turn individual feeds into sellable inventory, testing whether the free-labor model of the big platforms can survive explicit payment.