A lot of approaches in marketing require data analysis and forecasting techniques to study consumer behavior and predict the best strategy for maximum conversions and results. Estimation techniques and guesswork can get you pretty accurate results but you can never be 100% sure. A/B testing is an excellent way to figure out the best promotional strategy for your business.
From your website’s design to landing pages and sales emails, everything can be optimized for maximum conversions and increased effectiveness of your marketing projects.
The following paragraphs will take a detailed look at what A/B testing is and the considerations you need to make before and after an A/B testing experiment.
What is A/B testing and why is it so important?
Conceptually, A/B testing is straightforward. You have two approaches for a marketing campaign and both seem equally effective on paper. So, you release both of them into the field to test which method is more effective and connects better with your consumers.
The two versions you are comparing can be of your website, landing page, sales email, a simple CTA, or any other promotional strategy you think is important to drive more traffic and increase conversion rates.
The concept of A/B testing may seem extremely simple at first, but consider all of its advantages. The ability to quantify the best approach and prove a certain approach is twice, thrice, or four times more effective can simplify the job of a marketer.
Consistent A/B test planning experiments can not only improve your marketing bottom line but also give you a better understanding of customer behavior. Customer data is the holy grail of the marketing world, and with A/B testing, you can have all the details you need to understand their preferences to create data-driven marketing strategies.
However, This advantage alone is enough to offset all the extra time you spend on an A/B testing experiment.
Here are some other benefits of running A/B tests regularly and incorporating the data acquired from them into your marketing strategies.
- Improved conversions: Streamlining your sales funnel allows you to target your customer’s needs, reduce bounce rates, and keep customers on your website for a longer time. Naturally, this increases conversion rates.
- A better understanding of market trends: Consistently running A/B tests allows you to keep your ear to the ground and keep up with the new trends in the market. You’ll be the first to know about changing demographics and the current perspectives of your customers. Capitalize on that knowledge effectively and see your market share grow exponentially.
- Build better authority in the domain: Relevance in the content you post shows that you know what you are doing and builds you as the authority in your industry. Always be the first one to talk about the changes in the industry, and your customer will only think of you when they are ready to make a purchase.
- Understand consumer pain points: A large part of any marketing campaign’s efforts go toward streamlining customer experience and making it easier for customers to go from point A to B in their marketing journey. A/B testing allows you to understand what prevents this from happening and affords targeted changes for maximum results in the shortest time.
- No disadvantages: Many marketing techniques require you to make certain compromises to balance the approach. A/B testing is different. Apart from taking a little time, there are virtually no disadvantages to this approach. So, you don’t have to worry about making any compromises.
Things to consider before and after an A/B test
Setting up an A/B testing experiment is quite easy if you know what you are doing. Tracking the actual parameters that matter and analyzing the data correctly are obviously important for success. Failure to do them will only waste your time, and you won’t see any improvements in your performance.
Here are a few considerations for before and after your A/B experiment. These will help you get the best results to make an informed and effective marketing strategy that works like a charm.
1. The audience
The first step is to carry out thorough research on your audience. The more information you initially have about their behavior, the more effective your A/B test will be. Refer to the first explanation of A/B testing in this article. It is used to compare two approaches that seem equally effective on paper. Researching your audience and knowing everything about your target market will help you get to those two initial approaches.
2. Testing variable
The next crucial step for your A/B testing experiment is to select a variable that you need to test. The smaller the element is, the most thorough your understanding of the experiment will be.
For instance, if you are running a different version of a webpage to test the best content strategy, the theme, design, and other elements should be close or identical. So, the focus would be on the actual variable that you need to test for.
For A/B testing, it is always recommended to use an independent variable so your results will not be skewed because of other factors. Generally, a single A/B test will only compare one variable, but you can increase the number in some exceptional circumstances.
3. Goal and hypothesis
What is it that you are trying to achieve with your A/B test? Ask this question from yourself and create a goal or hypothesis you want to check. Remember basic algebra? Changing an independent variable will affect the dependent variable. This step requires you to identify that and predict an outcome based on the available data.
4. Sample size and characteristics
This is another important consideration that determines the accuracy of your A/B test. Your sample clusters must be distributed and randomly selected for the best inference. Focusing on a single area or cluster will make your results biased and drop the effectiveness of your marketing strategy.
5. Confidence level and success metric
Any successful A/B test will give you a clear picture of the best approach for your team. However, you’ll need to decide the success criteria and a confidence level. How significant are the effects of the changes you are proposing? Slightly better results are generally not worth the effort of changing everything.
How stringent you should be with the results is dependent on how significant the change is. If your two versions are simply using a different color theme or buttons, you obviously won’t see any drastic changes in conversion rates or other parameters.
6. The A/B testing tool and environment
Where you are running the test and what you are tracking is another important consideration before deciding on the testing approach. Comparing two versions of a webpage is quite different from comparing the effectiveness of your sales email. Approaching everything holistically will help you maximize the effectiveness of your test.
The A/B testing tool you use is somewhat important as well. The right choice will facilitate you in the comparative analysis and other crucial parts of the test. However, the project tracking software you use is only as good as your approach. So, your first focus should be on perfecting that.
7. Total time of the experiment
There is no rule of thumb to decide how long your experiment should run. The time should be enough to produce statistically useful data. Otherwise, it’ll be hard to determine if the experiment was successful or not.
Various factors decide how long your A/B test should run. How you are executing the test, the environment, the variable you are studying, your industry, and your usual traffic are some of the most important examples.
8. Feedback generation and analysis
It is not mandatory but always recommended to use the opportunity to collect feedback from your customers during an A/B test. Quality insights on why your customers took certain actions will increase your understanding and give you more data to come up with effective marketing campaigns that connect with your users.
9. The next steps
The last thing you’ll need to consider is the next step. It is always recommended to decide the next steps based on what may happen. What would you do if the tests are not successful? Would you create a new design or continue with the existing pattern? Deciding all this beforehand would help you remain in control throughout the process.
Streamline your A/B testing experiment with Kissflow Project
Kissflow Project is a creative project management software that offers a comprehensive solution to improve your A/B testing capabilities with an easy-to-understand template. With Kissflow Project, you plan your A/B experiment in a matter of minutes with an A/B testing plan template, track your results, analyze data, and keep everything you need in a centralized location for effective collaboration and decision making.And that’s not all!
Kissflow Project also offers numerous project management templates and solutions for marketing, project management, product development, and various other essential functions to help take your team to the next level.
So, what are you waiting for? Check out Kissflow Project and start tracking your A/B experiment today!