How to conduct tests with a rented WebView application: creatives, setup, and budget
When it comes to working with WebView applications for rent, the key point is not only the selection of a "bold" offer and targeting settings, but also proper testing. Mistakes at this stage can lead to a drain on the budget, which will then fall on the shoulders of the buyer. In modern arbitration, few teams can afford the luxury of spending even $3,000 on tests. Therefore, it is important to get the most out of each test in order to reach that ideal bundle capable of providing a high ROI. Let's figure out how to do this.
What are the tests for?
Testing allows you to determine the weaknesses and strengths of the strategy in advance, even before the start of the main budget expenditure. This makes it possible to understand which creatives resonate with the audience, which setup and targeting work most effectively, and which offer shows the best conversion. Without this stage, starting gambling turns into a kind of roulette game, where the chances of success are only 50/50. But why take risks when you can analyze everything in detail and minimize the risks? Experienced buyers agree: testing is not a waste, but a contribution to future profits.
What should I test?
Even professional arbitrators, who are well versed in which elements of the bundle are worth testing, sometimes overlook the verification of some critical details. Let's take a brief look at the main components that must be tested when working with the application bay.
Images, videos, texts — all the elements that come to the user's field of view in an advertisement require careful testing. It is necessary to immediately launch a large number of creatives (from 50 or more each week) in order to identify those that attract the attention of the audience as effectively as possible and elicit the necessary response.
Interests, demographic characteristics, and geography are key parameters that determine the target audience of an advertising campaign. In addition to the standard targeting settings, it is worth considering factors such as time zones and days of the week when user activity peaks. Experienced buyers in advanced teams go even further: after initially reaching a wide audience, they detail targeting to the smallest detail, including accounting for salary dates and advances in the target region.
It is equally important to conduct testing of various casinos, bonus offers and conditions — it helps to understand what attracts the attention of the target audience the best. For solo arbitrators and large teams, testing offers is an ongoing process. Practice shows that 2-3 geo and 5-7 offers per week are simultaneously tested on large volumes. Team leaders and senior buyers working with iOS and Android applications equipped with thoughtful UI/UX and custom push notifications often note that after a while they return to offers that initially did not show results in order to test them again.
Advertisers often provide multiple landing page options, such as branded landing pages or registration forms. In such cases, it is important to divide the test traffic into several streams in order to conduct a separate analysis of the results for each option. This allows you to determine which landing page works the most effectively and generates the best conversion rates.
Although the need for prelanding is significantly reduced when working with applications, in some cases they may still be needed. They are used to enhance security and disguise the offer, which helps to avoid unnecessary attention from moderation.
How to test correctly?
Testing is a process that requires clear planning and a consistent approach. To achieve maximum efficiency, there are two key steps to consider.:
- Planning. Before running the tests, it is important to determine what exactly will be tested and which metrics need to be monitored. Bikers usually record test results in Google tables, noting indicators such as CTR, CR, installation cost, deposit cost, click2inst, inst2reg, reg2dep and ROI. This allows you to systematize the data and draw informed conclusions. For a more detailed analysis, some teams use self-written software, which provides the possibility of cohort analysis by various parameters.
- A/B testing. This method remains one of the main practices in arbitration. As part of the A/B test, the web adds two versions of elements to the campaign — creatives, targeting, offers, etc. — and launches them simultaneously to different audience segments. The results are analyzed in the source and through platforms like AppsFlyer, after which the option with the best indicators is selected. However, it is important to avoid hasty decisions. Some advertisers implement artificial intelligence to assess the quality of traffic and provide feedback on the first 7-10 deposits in 7-10 days. To get statistically significant results, it is recommended to stretch the tests for 5-7 days, taking into account fluctuations in audience activity on different days of the week.
How much money do you need?
You should not immediately allocate large amounts of money for tests. For small geos, a budget of $500-1,000 is sufficient, and for Tier-1 — $ 2,000- 3,000. It is best to start with small amounts, for example, $ 100-200, to test different hypotheses. Once a successful bundle is found, you can gradually increase your budget. The success of the test is not only measured by the number of deposits, but also by other important indicators, such as the number of registrations and the potential of the "reach".
When it comes to flights, experienced bikers often advise against using standard push notifications during the testing phase. However, if the bundle shows good potential, it is better to abandon the template solutions that hundreds of other buyers use. Instead, you should create a unique chain of custom push buttons to stand out from the competition and achieve better results.
Analysis of the results
After the tests are completed, the data analysis stage begins: what worked and what didn't? Which creatives and targeting settings have shown the best results? Based on the analysis obtained, we adjust the strategy and the bundle, continuing to test until we find the best option. In gambling, it is important to take into account not only quantitative indicators such as CTR, CR, ROI, but also qualitative ones such as LTV and user retention. Therefore, it is necessary to check the entire funnel, starting with clicks and ending with deposits, including the correctness of payment systems, registration forms and other important elements. If push notifications were used during the tests, their statistics should also be carefully analyzed.
A few additional tips
Even if profitable bundles are found, it is important to constantly test new offers, geo, creatives, approaches, and even applications. Setups and bundles that make a profit today may no longer be effective tomorrow, and ROI may decrease. Constant testing is not only a way to improve results, but also to protect against downtime. When the main bundles stop working, the web will already have alternative options ready, and it will not have to spend time and money searching for new ones. Testing also requires patience (FOMO is still present) and consideration of seasonal factors.
For example, in the gambling vertical, seasonality can significantly affect test results. During major sporting events (for example, World Championships or Olympic Games) or holidays (New Year, Christmas) User activity often increases significantly, which can distort the test data. This is important to consider when planning your budget and choosing offers. Additionally, sharing experiences with colleagues and managers of partner programs helps to avoid common mistakes and inspires new ideas.
Conclusion
Testing is a key component of successful gambling arbitration with rented WebView applications. Properly conducted tests make it possible to identify profitable bundles, optimize the cost of advertising campaigns and significantly increase ROI. Using quality tools helps to improve the process and increase efficiency. It is important that the web always understands that testing is not an expense, but an investment in future profits.