Optimizing PrizePicks Onboarding with AI Growth Experiments
Summary
This announcement details a growth experiment for the PrizePicks platform focused on improving user activation. By utilizing an AI-powered quiz, the proposed flow identifies a user's knowledge domain to route them toward high-conviction markets within 90 seconds. This initiative aims to solve the problem of user overwhelm by streamlining the onboarding process and increasing first-trade conversion rates for new community members.
hey guys
i’ve been studying acquisition in prediction markets for the last few weeks and have a few funnel ideas i want to test specifically for PrizePicks?
who would actually be the right person/team to talk to about growth/acquisition experiments?
Elaborate
turn cold/potential new users into active users by a very fast ai-powered quiz and match with the market who suits them the most
Hmm, you can leave that description for now. But remove the images as we don’t want to promote your application in this thread. If we can find someone to review it, we’ll get it to them
ok thanks
My hypothesis:
most platforms overwhelm users with infinite markets before building conviction.
I’m prototyping a personalized onboarding flow that:
identifies the user’s strongest knowledge domain
routes them into high-conviction markets
guides them into their first position within ~90 seconds
Goal:
improve activation + first trade conversion.
