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Gondola's dynamic pricing engine intelligently changes the price of game in-app purchases to maximize revenue

What Can the Video Game Business Learn From Airlines and Uber?  —  When you make a purchase in a free-to-play video game like Candy Crush Saga or Clash of Clans …

Re/code Eric Johnson

Context & Ripple Effects

Free-to-play monetization in 2015 runs on fixed-price catalogs: Candy Crush Saga players spent over $1.3 billion on in-app purchases in 2014, but every player sees the same price for the same bundle of gems. Gondola's pitch is to import airline- and Uber-style dynamic pricing into that catalog, repricing purchases per player to maximize revenue.

The timing matters because publishers' revenue bases are fragile — Re/code's own later analysis found King generating massive but eroding profits with no successor megahit. Squeezing more from existing spenders is cheaper than launching new hits, which is why pricing engines rather than new games become the lever.

First-order effects

  • Developers adopting Gondola can charge different players different prices for identical virtual goods, directly lifting revenue per payer on titles like Candy Crush Saga without shipping new content.

Second-order effects

  • Analytics and monetization rivals must match dynamic pricing or cede the yield-optimization layer, shifting bargaining power toward whoever owns the pricing algorithm rather than the game studio.
  • Fixed price tiers become a competitive liability: Apple's later move to widen the App Store range from $0.49–$999.99 to $0.29–$10,000 (starting with subscription apps) shows platform pricing infrastructure loosening in the direction these engines push.

Third-order effects

  • If per-player pricing normalizes, the published SKU catalog gives way to opaque individualized pricing across app stores, raising consumer-trust and potential regulatory questions that fixed menus never triggered.
  • For an industry already dependent on a small share of big spenders — and where studios like King struggle to repeat megahits — algorithmic extraction from existing titles becomes a structural substitute for hit-making.

The trend: Mobile game monetization is migrating from fixed in-app purchase catalogs toward algorithmic, per-player pricing modeled on airlines and ride-hailing.