Bounce rate in the online store represents the percentage of visitors who leave the website without moving to the next subpages. While in the case of blogs, the high value of this coefficient does not raise such anxiety, in the case of e-commerce is not desirable. Each user who bounces on your side is a lost opportunity to increase revenue.
5 ways to reduce the bounce rate in the online store:
Take care of the usability of your e-commerce
Pop-ups, no search engines or navigational menus are factors that discourage customers from staying on the site. Take care of attracting the attention of your potential customers and make it easier for them to use your e-service. The right UX is an added value that encourages users to travel around your online store.
Improve the readability of content
The modern e-user doesn’t read the content but scans it. Divide the texts of product descriptions into paragraphs. Follow the principle – one thought, one thread. Bold keywords. Treat headings and titles of category descriptions as signposts that will help your potential customers find their way to the online store.
Accelerate store loading time
Did you know that you have only a few seconds to attract customer’s’ attention? If the speed of loading your e-store is too low, there is a very high probability that the customer will benefit from the offer of competition, and thus the bounce rate will increase. Optimise content, cookies, javascript, CSS, and server.
Be responsive
Mobile devices accompany us everywhere and virtually all the time. Optimising the store for mobile devices definitely raises the number of conversions and lowers the bounce rate.
Make sure CTA is visible
JIf the visitor to your online store goes directly to the product page, it is very important that you can easily identify the call to action (CTA) button. Use incentives to take advantage of your offer. You will then increase the chances of the user moving to the next subpage and you will lower the value of the bounce rate.
Fully integrated with the QuarticOn recommendation engine, sending e-mail messages to subscribers of the online shop after a set time or after the system recognises a specific action from the potential recipient
Internal search engine in your online shop, which is based on artificial intelligence algorithms and integration of search results with personalised product recommendations