In the past, personalisation of e-commerce online shopping experiences was quite limited due to the lack of technology to support it; however, times have moved on and creating a personalised user experience (UX) is easier than ever. Thanks to the emergence of things like machine learning technology, integrated customer relationship managers (CRMs) and ever-more sophisticated websites, the buying journey can be significantly enhanced, benefitting both the seller and the customer.
There are many positive effects a great UX has for the marketer, so those with serious intentions of being profitable need to think more about ‘how’ rather than ‘if’ they should put time and effort into making theirs more personalised. With the right measures in place, your online visitors should receive a smooth, individualised experience.
Keep Your Customers Coming Back
When done right, a great e-commerce experience comes with several benefits for your business and being able to personalise the journey adds a powerful element that enhances your chance of achieving the following:
● To enhance the buying journey and encourage value-added purchasing.
● The fostering of long-term relationships with customer
● The acquisition of new customers
Assisting the Buying Journey
The ultimate aim of the buying journey is to make it simple for the user to find what it is they’re looking for quickly and intuitively. Personalisation makes this possible, and it does so by taking cues from what the site visitor types and with this information, it’s able to make smarter, optimally relevant recommendations to the user in question.
Display Other Associated Choices
For example, if you sell shoes online, you may have been found via search engines under the term ‘men’s shoes’, with a potential customer arriving on your product page. In the event of the individual not liking the first shoe selection or two they’re presented with, your site should be set up to display other, likely appealing choices.
Bundle Items Together
Another option is to bundle certain items together that are closely related, meaning that they can quickly and easily switch between them. This works particularly well when the products in question complement each other, e.g. shoe polish or protective shoe sprays being displayed on the same page as shoes.
When an e-commerce website succeeds in keeping its customers coming back on a regular basis, it typically does so by making them feel valued or exclusive in some way. Customer rewards – which can be centred around your customer subscription offering – can be arranged to offer gift cards, wish lists, upcoming products and anything else you feel might be of interest.
A Tailored E-Commerce Experience
Much of what is described above is made possible by utilising the data that’s created at every touchpoint. During a visitor’s journey through your e-commerce site. Using machine learning and AI an immersive shopping experience is formed where customers can easily find both what they’re looking for and other, associated products they may not have realised they needed. This ‘sticky’ relationship typically creates a bank of customers that come back to you again and again.
In this scenario, everyone wins. Your customers find what they need, and your e-commerce store is more profitable. So, if you’d like to know more about creating a tailored, personalised e-commerce experience for your customers, why not visit us online at www.cxportal.com
After browsing through our site, you need some further guidance, and you can talk to our team directly by calling us now on +442034416513. Our team are keen to answer any questions you may have.
CXPORTAL is your award-winning AI, ML, SAP Commerce Cloud and eCommerce digital transformation solutions provider, CXPORTAL is specialised in Innovating business strategy, design and development of digital products, digital platforms engineering and data science solutions. CXPORTAL Leverage Artificial Intelligence, Machine Learning Algorithms, Deep Learning Models, and big data Analytics to unlock and scale your business data, and optimising the operating model for exponential business impact.