There can be multiple reasons for low conversions, but the key principle should be providing an enjoyable shopping environment for customers. As reported by recent studies, many shoppers describe their online shopping experience as "anxious" and "frustrating". When it comes to your sales team, the correct technology matters since enterprises that successfully adopt new digital solutions are far more likely to be top performers.
Customers like hyperpersonalisation more than ever
80% of customers are more likely to convert when shown a unique experience. On your site, each visitor who lands is in a different stage of their shopping journey. But are you offering the same experience to all your website visitors? Some visitors might be looking for new ideas, some for suggestions, and some for a little helping hand to guide them to purchase. A real-time, tailored experience for every shopper is necessary for your store. Over 70% of customers prefer buying from brands that offer a curated shopping experience based on their "living profiles".
Besides, a visitor may have landed on your website for research but may not intend to purchase yet. 91% of consumers are more likely to buy from companies who recognise and remember them when they return to your store. To improve conversion, you not only need to focus on your shopper's experience when they are in your store but also when returning to your store.
Also worth mentioning, 75% of shoppers across Europe believe that most online stores fail to provide an enjoyable shopping experience. The statistic suggests that shoppers do not shop to procure. They also enjoy the online shopping journey. Online stores need to move from just ''choice and convenience'' to ''curation and advice'' by delivering an engaging shopping experience.
What can you achieve with AI tools?
How to accomplish the personalisation with minimum effort? With AI-powered shop assistants, you can automatically achieve various personalisation features for your customers. AI tools can help you boost your online sales by building a personal shelf for all shoppers, or anonymously remembering customers and visitors for their return.
Personalisation can lead to customers spending 40% more time shopping. And 34% of returning customers are likely to shop more if shown product recommendations based on their past purchases. So, the right tech tools are necessary, and here are some of the popular solutions:
1. Smart search
In this solution, AI is used to learn how the customer interacts with the store and what they search for. After that, the AI optimises search results based on customers' real-time behaviour. With advanced natural language processing in AI, typos and search words with a combination of product keywords, for example, will not hinder the delivery of relevant results because the tool will understand the customer's intention for searching. The solution allows natural search experiences and guarantee relevant search results for customers. Customers can search for product they need fast and accurate, hence, it facilitates solid and lasting relationships with customers.
2. Smart product recommendations
This solution utilises AI power to analyse customers' interests based on their search behaviour- what brands they are looking at, and which product pages they are visiting. The solution displays product recommendations based on the learnings from the above analysis. It can highlight products that add value to the customer based on what they looked for in the store. The personalised recommendations make cross-selling and upselling more effective. It enables an eCommerce store to show very targeted product recommendations. The solution presents customers a carefully adjusted browsing experience based on their individual preferences. By addressing every user as a unique individual, the customer satisfaction will eventually increase.
3. Smart merchandising
In this solution, AI is used to leverage site-wide customer behaviour. This solution presents the most relevant and high-value products to the customers. The personalisation tool is informed with search, purchases, and navigation insights. Then, the tool learns which are the best products to give a boost in a category or collection page. For instance, the first row of a category page can automatically show the highest-rated or trending products. By smartly modifying the layout of pages, it enhances popular products as the focal point on the webpage. Customers can then receive recommendations that are highly valuable to them. This solution can lead to a 70% increase in productivity and a 20% boost in revenue.
Shopbox | How AI is the best Conversion Optimisation Tool for Retail
AI-Powered eCommerce Personalization Solutions | Scandiweb
What are the Benefits of Visual Merchandising | Smart Merchandiser
Smart search: Strategies to transform your eCommerce business (magesolution.com)
How can your company benefit from introducing a product recommendation system? | Blog Future Processing (future-processing.com)
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