Performing a simple A/B test is an easy and efficient way to improve your app.
Are you ready to launch your first app, but worried about how it will perform? Fear not! One of the easiest and most effective ways to optimize your app is through A/B testing.
A/B testing compares two iterations of your app to determine which is more effective. Users are directed to one of two versions, and you can monitor how the changes you’ve made to Version B perform against Version A.
Making changes to your app from Version A to Version B can be costly, especially if you’ve hired a development team to create your app from scratch. To avoid skyrocketing development costs, consider using an affordable, subscription-based platform like AppMakr, which allows users with zero programming experience to build and modify apps at a fraction of the price.
The Diagnostic Test and User Data
First thing’s first: you need to run a diagnostic test that will determine your app’s performance. The easiest way to do this is to look at your app’s analytics. Analytics give you an idea of what existing features users like and those could be improved upon, and what new features users might want to see from your app.
Luckily, in the age of big data, getting a full rundown of your app’s performance couldn’t be easier. Built-in analytics give app developers a full checklist of their app’s performance as well as a glimpse into user behavior. This snapshot of quantitative user data can give you an idea of what variables to consider when you conduct your A/B test.
While collecting quantitative data through analytics is essential to measuring your app’s performance, collecting user-provided data is equally important. Your customers are your biggest assets, as they are actively using your app and can therefore provide helpful feedback on its functionality. This qualitative data is a crucial component in conducting an A/B test, as it provides developers with direct feedback on what features work best.
Test and Re-Assess
HubSpot provides some insight on which elements to adjust from Version A to B in your A/B test. According to HubSpot, your layout, images, and call to action are among the biggest variables that affect conversion rates.
Once you’ve determined which variables you’d like to compare in your A/B test, it’s time to collect and analyze the results. One of the biggest mistakes people make with an A/B test is incorrectly interpreting data. The Daily Egg urges developers who are implementing an A/B test to determine statistical significance before they conclude which version is more effective, to ensure that the results of the tests are consistent and dependable. Sample size, role of chance, and other variables factor into statistical significance, according to Optimizely.
Test It Out
Now that you’ve learned the basics of A/B testing, it’s time to launch both versions of your app and determine which version is the most successful.
DIY app building platforms like AppMakr’s Machine provide you with all of the tools necessary to perform a successful A/B test — and you don’t need to have a background in coding or programming. From built-in analytics to user-friendly app customization, AppMakr enables you to optimize your app’s performance without breaking the bank in the process.
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