Coinbase Uses AI Research to Shape Go-to-Market Strategy

Coinbase needed fast, reliable input from a hard-to-reach audience — senior product and engineering decision-makers at fintechs, banks and brokers in the US and UK — to shape go-to-market strategy and product positioning. The stakes were high: timely, accurate insights would directly influence partnership decisions, positioning and launch plans in a fast-moving crypto/fintech market.

NewtonX ran AI-moderated qualitative research: recruiting the exact verified sample (18 senior fintech product and engineering decision-makers), conducting asynchronous AI-led interviews, then using AI to code responses and generate a draft insights report. NewtonX refined the AI output into a finalized insights deck with quantitative readouts, verbatim quotes, takeaways and recommendations — all delivered from ask to delivery in three weeks.

In three weeks Coinbase received coded interview data, a quantitative readout, direct quotes and a polished insights deck. The study uncovered what drives build/buy/partner decisions, the perceived benefits and risks of crypto capabilities, and clear positioning levers Coinbase could use to win partnerships — directly informing their go-to-market strategy and product positioning.