The success of an A/B test is determined by more than just the quality of your store page. The correct audience must still be directed to the store page. That is why it is important to know the best ad networks for A/B testing.
Running UA campaigns requires you to be at the top of your game, especially given the increasing budgets that gaming and app companies spend on paid user acquisition.
Even though Geeklab allows you to run A/B tests in any ad network that allows website links, knowing which one is the most effective for your specific use case is still useful.
This article will discuss the benefits and drawbacks of three ad networks for A/B testing.
- Google Play
With a yearly ad revenue of 115 billion, it’s not surprising that Facebook is the most popular ad network. This does not imply that it is the most effective or simple to use.
Many people have probably encountered some difficulties while setting up an ad campaign. This is one of the most significant disadvantages of Facebook Ad Manager.
Unwanted traffic is another disadvantage. Many of our customers, particularly in Tier 3 countries, have reported ‘ghost’ clicks. They get a lot of link clicks on their ad, but only a percentage of them gets to the landing page. These issues, however, have not occurred in any Tier 1 countries.
Moving on to pros of Facebook.
With 2.9 billion active users, Facebook’s audiences are highly customizable and reachable. By directing the right audience to your store page, you can significantly reduce your conversion rate and CPI. Because of the large number of active users, your target audiences can also be highly scalable.
Facebook allows you to use a variety of different types of ads. You can use resource-friendly image ads, carousels, playable ads, and a variety of other techniques, which you can learn more about here.
Despite the fact that TikTok has been around for a long time, many people are still unfamiliar with it as an ad network. However, now that TikTok has surpassed 1 billion active users, it is time to take it seriously.
43 percent of TikTok users are between the ages of 18 and 24. And this demographic is doing exceptionally well on the look-alike page!
Let’s start with TikTok’s advantages.
Our customers have had great success with TikTok. Furthermore, the test conversion rates have been high.
TikTok is also innovating in the ad marketing space. For example, the Reach & Frequency Ad Buying Type lets you pre-define the average CPM, number of impressions, and overall budget. TikTok also has a creator marketplace where you can find TikTok creators to help promote your game or app.
There isn’t an ad network without cons:
TikTok requires video ads, which can be quite resource intensive if you have to create them for each variation separately.
Ad campaigns in the United States are not available to European studios. The available countries for targeting can be found here.
Google ads are the most effective at retaining Android users. But how are they performing when you test your look-alike store pages?
Even though Google Ads offers a wide range of different ad placements, they haven’t been used much for A/B testing with Geeklab’s services. Nonetheless, Google Ads has consistently delivered excellent results for its customers’ user acquisition campaigns.
Google Ads may appear complex to a new user at first. There are numerous campaign types and placements to choose from, so there are numerous factors to consider.
There are a lot of resources for app install campaigns rather than CPC (Cost-per-Click) campaigns for mobile games, which is recommended when running ads for Geeklab look-alike pages.
Google Ads’ advantages include their performance and the ability to run ads in mobile apps.
As previously stated, Google Ads has extremely effective performance and can assist you in obtaining traffic at a low cost.
Google Ads also allows you to run ads in mobile apps. Your ads can be targeted anywhere, from app categories to specific games or apps.
With TikTok and Google taking up more space in the discussion of ad networks, it’s important to take the time to consider which ad network best suits your needs. Knowing your audience is key to determining which ad network is best for reaching them. The best d networks for A/B testing depend a lot on your audience.
For further questions or help, you can contact our support.
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