The Conversion Rate Optimization with the help of A/B Test

One of the well-known CRO tests is the A/B test. Now, this test is essential for any marketer’s optimization tool belt. Due to its statistical and technical nature, this test may appear very difficult. But, in reality, it is easy to understand and has the immense potentiality to improve conversion rates.

DEFINING A/B TEST

A/B test is also referred to as a split test. It is a process of a randomized experiment. This process involves two or more variables( for eg. page element, web page, etc.). These variables are presented to the web audiences at the same time. This process is followed to notice which variable is more influential. Furthermore, it gives knowledge, which variables can drive business metrics. you can also go for our services like Ecommerce development. 

GAINS OF CONVERSION RATE, USING A/B TEST
IDENTIFYING GOAL TO INCREASE CONVERSION RATE

Visitors browse through your website to achieve their respective goals. Sometimes if they fail to do so it will give a bad user experience. Eventually, this may draw a scar on your conversion rate. Here comes the role of the A/B test to offer them tools like heatmaps, google analytics, etc. The one which will get maximum click needs incorporation in your page.

QUALITY TRAFFIC WITH A/B TEST

You do not have to spend extra money to get quality traffic. A/B testing helps to get the maximum traffic and thereby increase conversion rate. Moreover, it also helps to get high ROI and high business conversion.

DECREASE IN BOUNCE RATE, INCREASE IN CONVERSION RATE

A/B test plays a significant role in improving the conversion rate by reducing bounce rate. Too many options, navigation confusion, or any technical issue can increase the bounce rate. Now, with the help of the A/B test, you can find the best possible version. This in turn will bring a positive visitor’s experience and hence a better conversion rate.

RISK-FREE A/B TEST

In general, A/B testing allows minor changes in your webpage. This equally saves both your money and time. In addition to this, you do not have to risk the change of the entire page. But these minor changes have the potential to bring a bigger impact on the conversion rate. For example, it can be just updating the product’s specifications, etc.

MAINTAIN CONVERSION RATE WITH EARLY TRIAL

When you implement a new feature there is always a risk of failure. This creates an immense impact on the conversion rate. And you know once listed in bad user list it demands huge cost. Due to this competitive market, it is not easy to again gain customers’ trust. But with the A/B test, it is possible to verify the success and utility of the feature. Hence, it will prevent the sudden drop in conversion rate.

STATISTICAL APPROACH OF A/B TEST

A/B is highly scientific and provides statistically proven data. There is no scope for guesswork and only logical analysis takes place. Hence this orientation helps to get clear data with minimum error.

PROCEDURE OF USING A/B TEST

First, you need to choose the variables for testing. Now, draw a hypothesis about the upcoming result. Though the A/B test allows testing, multiple variables, use minimum variables to keep it simple. Your variables can be CTA buttons, page design, font pattern, and email subject lines.
In the second step, you have to focus on the metric variable i.e. the dependent variable. You have to identify the key performance indicator that is particularly related to the dependent variable. On the contrary, you must keep in mind the other metrics i.e. the extraneous variable.
The third step in A/B testing is to choose the group for testing.

For example. You can randomly divide the audience equally into two groups. While testing you must keep in mind the time factor. This is because a webpage can get millions of viewers within a few seconds. So it will be better to keep track of the existing visiting rates in an early hand. On the contrary, the A/B testing emails depend on the proportion of its inbox list.

Finally, when you run the test it is better that you keep a record of its response time. This may not be your testing variable. But, this helps to recognize the quality and impact of your campaign. In addition to this, you can ask for their feedback to gain insight into their decision. In addition to this, it will also help you to customize your next campaign accordingly. This increases the efficiency of the A/B test.

Now using the hypothesis and key metrics you have to interpret the results. A statistical or pictorial representation of data is always preferable. Tally the variables and find which gets the maximum vote. Hence, you can make changes accordingly in your plan. While doing this work you must keep in mind the time and money factors.

If in either case, graphical lines are almost the same then you must change your metric variables.
The results of your A/B test will help you to redesign the website. Notably, it will be designed according to the customer’s choice. This engaging version of your website will help you to fetch more customers.

CONCLUSION

Conversion Rate optimization gains special importance in email marketing and video advertising. Any top market has to suffer a long journey of trial and error. This is the core concept of A/B marketing. But this strategy is different from common ones as it has several benefits. In addition, the risk factor of the A/B test is quite low and also cost-effective. You can go for Lytechx Digital Pvt Ltd, its the best web developing company in Jaipur. And you may also go for 10 best E commerce Platforms ideal for your Business.