Revenue Strategies

Return on Investment

Gondola maximizes the value your players receive from your game. Our machine learning algorithm optimizes prices based on player behavior. According to the strategy that best suits the developer's objectives, price optimization reaches full potential over time, and the overall LTV is improved.

Multidimensional Approach

Lifecycle Management

Launch: Analyzing player behavior and adjusting prices has an immediate impact on revenue. Gondola already gathers behavioral player information during the soft-launch of a new game.

Growth: Games are in full momentum during the growth phase. The creation of additional content, acquisition of prime players, and live operations must perform at peak optimization to justify high UA expenses. Dynamic pricing leverages different player spending behaviors from various user acquisition channels.

Sunset: Post user acquisition and content creation, large segments of loyal high-spending players still remain in the game. Dynamically pricing virtual goods and in-app purchases allow for content to dynamically adjust and keep players engaged in a sunsetting game.

Value Across the Organization


Improve P&L and shareholder value. Gain sustainable competitive advantage and increase market share across game genres and platforms.


Boost revenue by charging players what they are willing to pay. Improve conversion by tailoring specific prices for each player. Reduce churn.


Increase your UA budget by improving ROI for newly acquired players. Maximize revenue for all player personas. Improve app store ratings and reviews.

Live Ops

Improve price efficiency for new game content, promotions and campaigns. Help additional player segments adopt new game content by making it more attainable.

Game Design

Dynamically adjust game content to suit different player skill levels. Provide a customized playing experience for every player.

Strategic Competitive Advantage


Game developers can optimize both retention and revenue in their own games without additional expense. Because Dynamic Pricing happens entirely “behind the scenes”, other game developers that compete for the same players in the same gaming genre cannot replicate the advantages of dynamic pricing with common optimization and marketing strategies.


As opposed to common promotions that cause a specific player behavior, adjusting prices in real-time unlocks already existing player behavior. Desired player behavior thus becomes repeatable, while undesired patterns can be prevented. With Gondola, these adjustments happen automatically. Product managers, live operators and marketing specialists are not required to manage yet another optimization tool and can rather focus on their core tasks.


In the freemium game market, publishers compete for player attention and time. But creating games and engaging players requires strong commitment of both time and money. Virtual good and IAP pricing is pivotal for both monetization and player retention. If done correctly, pricing has a profound impact on different player types. The strategic advantage that Gondola’s Dynamic Pricing provides is not based on cost reduction, but rather revenue increase through custom and sustainable price adjustments, at no additional expense.


Freemium games are subject to ever-changing circumstances. Players come and go, new content is deployed, and competing games get launched or shut down. Player behavior constantly evolves. Gondola’s patent pending Dynamic Pricing Engine automatically adjusts to all behavioral patterns, re-clustering players as they mature in the game. All the way from launch to the end of its lifespan.

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