A/B Testing Steam Store Pages for Increased Conversion Rates

A/B testing in app store optimization is a standard practice in efforts to find the best creatives that convert. The practice isn’t as common for Steam store pages despite its potential to shed light on insightful user behavior and increase conversion rates. Geeklab also supports A/B testing Steam store pages and here’s what you need to know.

Why A/B test Steam store pages

A/B testing allows you to make data-driven decisions by testing different versions of your page elements. This helps you understand what resonates best with your audience, which can lead to higher engagement and more downloads. A/B testing also allows testing different elements that some have a bigger impact than others on the performance. Usually, where we have seen the biggest impact is the creatives. The video and screenshots are a big element on the page that visualize the game for the player and should entice the player to purchase.

When to A/B test Steam store pages

Testing can and should be started as early as possible. It can even be started as early as the initial idea. This helps find out the market potential of the game. As development begins, testing before major decisions can help find better fits for intended players. An example of this would be to test the art style of the game, characters, or other major elements. This works as a guide and allows for data-backed decision-making throughout development. Another good time for testing is at soft launch. After launch optimizing the store page is crucial to stay up to date and entice your players. Like we always say, A/B testing is not a sprint but a marathon.

How to A/B test elements on Steam store pages

If you are or have been a Geeklab user, you know the drill from testing app store product pages. If not, but you are looking to increase conversion on Steam, read along. A/B testing with Geeklab means the following. First, you create a look-alike page for your Steam store page. You should create one for each variant you are testing against. Then you run traffic to the look-alike pages with paid ads on platforms such as Meta, TikTok, or Snap for example. While the campaign runs for approximately 10 days, we gather all data that happens on the look-alike page. This includes the number of page views, clicks, downloads/purchases, which creatives are viewed the most, and more. It is important to note that before running tests you should conduct market research and build a strong hypothesis to avoid inconclusive test results.

Want to start optimizing?

If you thought to yourself “yes I want to start A/B testing Steam store pages”, you have come to the right place. You can start with Geeklab any time, drop a line to us here!


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