Forbes tests prediction platform as engagement strategies move past search
Briefly

Forbes tests prediction platform as engagement strategies move past search
"The publisher worked with tech startup company Axiom (Axiom founder and CEO Jeff Yam is a Forbes board member) to build its own prediction platform - Forbes Predict - which will launch in beta in February. Unlike real-money prediction markets like Kalshi or Polymarket, Forbes' platform lets readers make forecasts and track results in exchange for tokens. It's designed for engagement, not wagers."
"Instead of letting users bet real money on news, Forbes is gamifying predictions to boost onsite engagement, and foster reader loyalty as it shifts away from relying on traffic, as search referrals erode, according to Forbes chief innovation officer Nina Gould. It's an alternative to commenting, in some ways, she noted. In the future, Forbes may give out tokens for other actions on the site, such as asking users to provide more information on their registered accounts to glean more audience data,"
"Users will get notified (through email, SMS, push or onsite notifications) on how they're faring with their bets, to nudge them to return to the site to either change their vote (based on how the news story is evolving) or see how many tokens they've won. For example, a story about the Oscars could have the game widget ask: "Will Leonardo DiCaprio win best actor for 'One Battle After Another'?""
Forbes partnered with Axiom to build Forbes Predict, a prediction platform launching in beta in February that awards tokens for forecasts rather than real-money bets. The tool appears as a widget next to articles and typically poses binary "will or won't" questions with a sliding scale for users to indicate conviction and compare votes against others. Users receive notifications via email, SMS, push, or onsite alerts to encourage return visits, vote changes, and tracking of token results. Forbes may expand token rewards to other site actions to boost loyalty and collect more audience data as search referrals decline.
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