How To Get The Best A/B Testing Results
Defining the goals of what you want to before beginning A/B testing will ensure you start on the right track. A/B testing is a commonly adopted digital marketing strategy that determines what variation of a digital marketing campaign works best. Do you want to increase ROI? Therefore, you can deploy multiple A/B tests throughout your marketing funnel to maximize the amount of leads and ROI that your campaign drives.
Perhaps you don’t like your current Google Analytics data and see areas where you want to improve. Asking yourself questions of why specific activities occur when analyzing your data will help you think of how to resolve your problems. Create a list of what variables can be tested, and plan a schedule of when you want to run specific A/B tests. Prioritize your optimization goals from the most significant to the smallest priority. If you start testing all of your ideas at once, your data will not make sense.
Performing multiple tests on different areas is recommended if you have a way of staying on top of your data. The point is to find a way to stay organized and not lose track by continuously updating your results until it becomes unrecognizable. When you prioritize the items you wish to test, you can start developing ideas on how to best optimize them. Whatever your reason for optimizing your testing strategies, it is best to begin where your issues are.
Planning Out A Process That Optimizes Marketing Campaign ROI
Start researching your priorities one at a time to help you decide what new A/B testing optimizations will significantly improve your marketing campaign ROI. Optimizations can include changing your landing page copy or testing out which image will produce the best results. Using analytics data will help you create a well-thought-out hypothesis about what is the optimal A/B test strategy. Make sure that you link any Google Adwords campaigns with your analytics account to get improved data on conversions and click-through rates to help you measure your landing page performance. You can see which pages are getting better conversions and generate ideas for some of your lists’ problems to optimize. Another essential thing to consider would be the time frame you are going to have your experiments run. What time you start testing is a small relevant detail but can potentially help you generate massive results. Your analytics data should tell you when you had high conventions, low traffic, and other useful information about your website. Depending on your priorities for optimization, the time frame you choose should be tested on specific target traffic to generate useful information.
Getting The Most Out Of A/B Testing
Generally, you would want to prioritize the A/B testing that you perform on your website from the most to least trafficked pages. Once you have formulated something you believe will work, create a few variations and run tests. Not all tests will be successful with 100% success and it is a continuous learning curve. The most rewarding part is when you see the type of data results your work produces. Good or bad, the A/B testing results gathers quality analytics that helps you see what works and what areas you need to further work on. It is vital to understand the data you are looking at because it gives you an insight into how to meet your customer’s needs. More importantly, you get curious about why they reacted poorly to one test and why the other was successful. You can compare and contrast both to help you develop a new hypothesis from the A/B test results. Once you identify your problems from the test data, the A/B optimization cycle starts over again—this time with a more refined approach and a better understanding of your customers.
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