If you’re concerned about increasing sales, increasing conversions, improving email open rates, or increasing website traffic, have you ever wondered if something isn’t attracting enough attention from your website visitors? Have you considered making changes and analyzing the results? If the answer is no, then you should know what A/B testing is and how it can help you make the best decisions for your business.
You’re missing out on one of the best advantages of having a website: the ease of testing and measuring the results of your strategy in a simpler way. By running tests and analyzing the results, you’ll be able to see and understand what works for your website. It’s with these results that you can argue and special database justify the changes you need to make, showing facts and data, not just opinions and assumptions.
What is an A/B Test?
A/B testing, also known as split testing, is a way of comparing different versions to identify which one is most popular with the target audience. It’s a widely used method in web design and development to study user behavior while browsing the internet.
It’s always worth remembering that people react differently to the stimuli they receive . For this reason, it’s essential to understand what A/B testing is and how to use it to increase sales in your e-commerce.
In an A/B test, you can divide traffic to a given page into two versions: the original and the “variant.” The latter is the page on which you’ll change an element to run your test.
You can test everything from the color of the checkout button, the text of the calls to action, the amount of text and images, the position of the elements, and even the style of the images (with real people or illustrations), among other features.
What is not an A/B test?
Many people confuse A/B testing with other types of evaluation, so it’s important to clarify what it is and how to use it. Below is a list of the main characteristics that define this testing method:
- It can be done to test the performance of websites , emails, ads, landing pages, etc.
- It is essential to follow a methodology to be able to compare proportionally;
- It is recommended to have a useful tips for your facebook ads campaign good number of website or email accesses in the database to apply the tests (to have good statistical relevance);
- It would be ideal if you had a tool to automate the results .
When and why to use it?
. Therefore, always verify the time periods, days of the week, and times of comparisons. Remember that if you don’t test hypotheses, your A/B test won’t work.
Tests should be applied in situations where . There is a need or potential to optimize an important metric , such as visits, openings, clicks, lead generation, sales, etc.
For example, if you have an email with a very low click-through rate, you can create a second version to see if the new version performs better.
6 tools to automate A/B testing
Now that you know what A/B testing is, you can start implementing it to improve your website, emails, newsletters, etc. Below, you’ll find six tools that can automate and simplify the testing process. Check them out:
1. Google Analytics
This is a free alternative for A/B testing. The configuration will depend on the complexity of the test you want to run . To test the color of a button or which type of form has the most conversions, simply insert a code into your website for Google Analytics to track and plot comparative data between different versions. However, if your goal is to test a sales journey, the process is a bit more complex and requires a more advanced level of knowledge.
2. Google Optimize
Optimize is also a Google solution that even integrates with Analytics. The tool, which has a free and paid version, uses statistical methods to identify test results. It’s an alternative for achieving more precise results with more advanced audience segmentation.
3. Optimizely
Among the tools available for A/B egypt data testing, this is one of the best-known and most popular, used by companies like IBM, Microsoft, and The New York Times, among other major corporations. Optimizely is a paid tool; however, you can take a trial period to understand how the tool works and better visualize its features.