Hi Creators,
Our goal is to give you more granular, and actionable insights, helping you maximize revenue without sacrificing user engagement.
Over the past year, we have launched several new tools to help creators find the best prices for passes and developer products. Last year, we launched Price Optimization, which uses advanced testing to analyze user behavior and transactions within your experience. This feature recommends optimal prices for your in-experience items and game passes, helping you maximize revenue without sacrificing user engagement. Then, earlier this year, we launched Regional Pricing for Passes, which automatically sets prices by region, helping creators grow engagement around the world.
Starting today, Price Optimization tests will now include item-level pricing recommendations, giving creators a more granular understanding of how to grow revenue while maximizing engagement. Previously, pricing recommendations were made in aggregate.
For example, in the image below, the far right column âOptimized Priceâ shows recommended price adjustments for each individual item.
How It Works
Item-Level Price Optimization is an enhancement to the existing Price Optimization flow, not a change to the overall process. The process remains a simple three-step flow:
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Make sure your prices update dynamically: You can learn how to do this in your documentation.
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You choose the products to optimize: Select the developer products and passes you want to include in the test.
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Weâll run an advanced test on your experience: Our new machine-learning algorithm analyzes your economy, user behavior, and purchase patterns to intelligently group similar items together.
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Price testing: The system will test various price variants for each individual item to detect the right price.
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Get item-level recommendations: Instead of a single, across-the-board change, youâll receive a unique price adjustment suggestion for each item or cluster of items.
Our new algorithm is designed to deliver highly accurate, data-backed recommendations you can rely on. We will only recommend a price change if we are confident that it will result in positive results. If the data doesnât support a change, we will not recommend one.
FAQs
Which experiences are eligible for Price Optimization?
- To ensure the accuracy of our recommendations, experiences must have at least 60,000 transactions in the last 30 days to be eligible.
How often should I run Price Optimization?
- We recommend renewing your recommendations with a new test every 60-90 days to ensure your pricing remains optimal as your experience and audience evolve.
