There are 7 steps to A/B Testing:
1 - Identify the objective to implement your strategy: Before taking action, clearly define the objective of your A/B Test. This could be, for example, to increase e-commerce conversion rates, reduce cart abandonment, generate qualified leads, reduce bounce rates, or optimize or implement cross-selling and upselling.
2 - Define the variations of your A/B test: Then decide on the variations you want to test. For example, you could change the color or font of a CTA (i.e. a button), create a new version of your home page, or modify certain visuals according to the visitor's intention.
3 - Select the sample: In A/B testing, choosing the target sample is absolutely essential, and must be in line with your objective. For example, you can choose to launch your A/B tests only on mobile visitors to your e-commerce site, or on 100% of your traffic to obtain large-scale results. Be careful, however, not to stray too far from your usual customer paths. An excellent A/B test is also one whose results can be interpreted in a clear and unbiased way.
4 - Design your A/B Test: Next, create the variations of content you want to test, then divide them into test and control groups at random to obtain the best results and draw the most accurate conclusions from your A/B Testing.
5 - Execute the A/B Test: To ensure the success of your A/B Testing project, launch your test by tracking the results of each test and control group over a set period of time.
6 - Analyze the results: Collect the data from your A/B Testing campaigns, then analyze the results to determine whether the version tested has a significant impact on the initial objective of your A/B Test, and whether it confirms the hypotheses established upstream.
7 - Apply the conclusions : Once the A/B Test is complete, you can use your results and conclusions to implement the most optimized version of the element you've analyzed, whether it's a web page, an e-mail campaign or an advertising insert.
Are you already familiar with the subject, or do you already have a service provider in charge of A/B testing, but you're not fully satisfied with the results, support or pricing of your solution?
Don't hesitate to spend a few minutes discussing the subject with one of our A/B Testing Experts. It's totally free!
Boost your results with A/B Testing
Optimizing your visitor journey with A/B Testing can increase conversion by 400%.
Opt for the best performing variants by offering different visitor experiences with BEYABLE A/B Testing.
Boost your results with A/B Testing
Optimizing your visitor journey with A/B Testing can increase conversion by 400%.
Opt for the best performing variants by offering different visitor experiences with BEYABLE A/B Testing.
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What is A/B testing?
A/B Testing, also known as split testing, comparison testing or ABC testing, is an experimental marketing method used to evaluate the effectiveness of two different variants (usually A and B) of an element, such as a web page, a user interface, an e-mail or an advertisement.
The objective of A/B Testing is to determine which variant generates better results in terms of performance, such as:c
- conversion rate,
- time spent on a page,
- click-through rate,
- e-commerce cart size,
- ...
What does A/B testing involve?
In an A/B Test, two groups of users or two audiences are formed: for example, one group is exposed to version A of a web page (control group), while the other is exposed to version B of the same page (test group).
Users are selected and assigned to their groups at random to minimize bias. Performance data are then collected and compared to determine which version has had a significant impact.
In this way, A/B testing on the web enables digital marketing experts to make the best decisions based on quantified data, and to implement optimization of their elements according to the results obtained.
This method can be used to test multiple aspects, such as design, content, the color of certain elements, CTAs, prices or promotional offers.
The aim is to identify the versions that perform best with visitors, in order to improve a website's user experience, conversions and business results.
Why Opt for BEYABLE A/B Test ?
A solution in advance of its time
- Ultra-light scripting - no impact on performance - no flickering effect
- Fast and delegated migration
- Customized support by our experts
- Real-time dashboard - 24/7 interface
- AI personalisation - much more accurate testing
A dedicated team of experts to support you
- Turnkey migration : From Google Optimize to BEYABLE. Onboarding, training and installation very easy and fast.
- Customized support according to your needs and resources: 100% delegated to BEYABLE OR Mixed OR 100% autonomous.
- An expert dedicated to your projects: A single contact available every day, at any time, for ultra-personalized exchanges.
A tool for in-depth traffic analysis
- Experiment in a relevant and adaptive way. Be convinced of the results obtained thanks to the performance of the features deployed during your tests.
- Our personalisation is based on the visitor's intention and behaviour, be confident during your tests!
- Benefit from a customized support, all along your project. Ask our experts for advice at any time.
What types of sites can do A/B testing?
Lead Generation sites
"Leads" or commercial contacts are information consciously left by visitors with the aim of being contacted again for marketing or commercial purposes. These leads enter a marketing or sales cycle in order to be converted into customers. A/B testing can be used to test different parameters in order to optimize the visitor's experience and encourage these visitors to leave their contact information.
Media sites
Editorial A/B testing is often used to test the success of different categories of content with their target audience and draw relevant conclusions with quantified evidence.
E-Commerce sites
A/B testing is commonly used in the E-Commerce field to improve the effectiveness of a website or an online sales application. The elements subject to A/B Testing can be for example: buttons, call to actions, fonts, colors, page variants.
For e-commerce sites, we also recommend the implementation of tools for product personalisation and recommendation, such as those offered by BEYABLE!
