What is the purpose of using a/B testing?

In the construction of the website, in order to better operate or achieve our goals, we often need to make important pages or functions A/ b testing , but there are still a lot of new operators A/ b testing some confused, today and everyone together to grilled a steak A/ b testing the reason, hope can help everyone to better carry out network operation work.

First Look at the first ten bars

1. Combining the ideas of big data with the basic needs of businesses seeking business growth, no matter how complex the problem is, A/B testing can be used to explore solutions.

2. in fact, different types of enterprises in the same industry can use a /B testing to improve their conversion rate and revenue!

3. The theory and practice of A/B testing are very easy to understand and get started, both old and new can be tested to find and improve the problem.

4. Google uses a /B testing to adjust and test its algorithms and website design; Amazon improves ROI by continually refining the site with A/B testing to optimize the user experience ; Facebook has optimized advertising revenue by testing new features and releases, and Obama has won the presidential election by cleverly using a/b tests.

5. A/ b testing - not just user testing based on subjective opinions, but also statistically significant, scientific, controllable tests! There is no controllable, statistically effective test, there is no so-called conversion rate optimization.

6. What is the right opinion for each person in the company who thinks differently? Use a /B testing to test and use data and scientific methods to make decisions.

7. Before using A/b testing, you can't imagine how bad your App products and websites are! Their space for ascension is surprising.

8. The vast majority of Web sites, App experiences are not perfect, they do not have the potential to meet their expectations, how to compensate for this gap, you can use a /B testing for continuous improvement and optimization.

9. traffic is becoming more expensive, and the cost of quality channels and marketing is limited, and how to get the most ROI in limited resources often requires A/b testing to help you achieve it.

Through A/b testing to break through the " visual aesthetic "- oriented design concept of the limitations, but the promotion of sales and good user experience-oriented design.

If you have the patience to read here, you might as well watch the rest of the recommendations.

One. if you are dissatisfied with your website or App, but are worried about the risk of a redesigned redesign, use A/b testing to redesign by conversion rate optimization, The result is a new website that also leads to a boost in conversion rates.

Survey , user interviews can only reveal the most serious product usability and experience, but will not tell you how to design the best layout and content to achieve the maximum conversion rate, but a /b test based on data statistics and analysis can do!

user always " duplicity ", many times said and do is inconsistent, A/B testing lets you pay more attention to the user's actual behavior rather than the irrelevant nature of the talk.

A/b testing can help us determine whether the assumptions obtained from the survey, user interviews, data statistical analysis tools, or the thermal map are correct or incorrect.

Questionnaire, user interviews, click on the thermal chart can only find problems to help us build assumptions, and A/b testing is really a tool to find the best solution through continuous optimization.

A/b testing is not limited to only two versions and can be more than two a/b/....../n tests.

A/b test can be a test for a single element change only, but also a multivariate test. Single-variable testing is faster and easier to draw conclusions, and multivariate testing can improve the ability to gain experience and exploit opportunities.

After the test, combined with your optimization goals, through multi-dimensional data analysis, you can more reasonable scientific assumptions to make the decision.

A/b testing can be targeted by audiences to compare disparate user information and feedback for more strategic market insights and user segmentation.

any useful information obtained in A/B testing can be applied to online or offline campaigns or in the design of websites and App pages.

in A/b test, it is not the test that has the data promotion that is successful, you often get experience and guidance from each experiment. These experiences and guidelines will help you to build your own " Best Practice Strategy Handbook ".

A/b tests the application scenarios in websites and app products, including the optimization of page UI , UE , Marketing copywriting, new features, and algorithms.

A/b testing in marketing scenarios, including search engines, website design, ad landing pages, advertising ideas, promotional programs, email marketing, content marketing and social media optimization.

A/b testing is an operational scenario that includes optimization of activities, subsidies, content, communications, PR, and sharing.

A/b testing on e-commerce sites, including user activity, pricing strategies, promotions, repurchase, GMV, and LTV Promotion and optimization.

There are always people who say that some versions before testing I knew which one would win, I agree. But even if we know it, we don't have to test it? Of course not, because we can't always know which version will win and how many percentages will be won. So the in- depth and detailed knowledge gained through A/B testing is inexhaustible.

a /b Testing can separate the potential interactions that best lead to conversions and sales growth, thus avoiding wasting time and energy on irrelevant content and processes.

there is no one or other easy way in the world to keep websites, apps or marketing strategies always successful, only through A/b testing, scientifically experimenting to verify that your new ideas can go higher and farther.

in a A/b test, a test can test n ideas, which means that only one test is needed, you can rule out n unreasonable assumptions, and see how efficient it is!

with A/b test, you will have a better understanding of the behavior and preferences of your target users, on the other hand it can help you to run your website or App from a prospective user's perspective , thereby reducing your cognitive impairment to potential users.

The problems you find through A/b testing can affect your marketing strategy, operational management decisions, and even new revenue points.

when you find that your position is low, you can hardly change your boss's mind, and you may experiment with his opinion through A/b test, and then share the results of the experiment with him.

The value of an upgrade using A/b testing and testing can make you a more prominent job. Your next proposal will be more convincing to the leader or senior executive.

through A/B testing, train your employees and your business to have a corporate culture and philosophy about data-driven and scientific marketing.

the last and most important:the value of A/B testing is that it is based on quantifiable data, scientific promotion of conversion rate of practice, in a scientific management organization, the data value is higher than the individual, Organizations that have undergone repeated experimentation and continuous optimization of innovation and always keep an insight into the market can be a lasting new experience. This is also the most essential spirit of A/B testing.

In fact , there are many reasons to use a/b test, it is easy to list the two , but it is really convincing you to use one or two of them. As I love you for thousands of reasons, but what really touches you as long as one reason is enough.

What is the purpose of using a/B testing?