Recommendation engines have been widely used by several industries. It has determined its significance in boosting revenues by providing an enhanced user experience while shopping for products, hiring services, or watching content online. Several online business owners have considered recommendation engines as the best way to keep users engaged. Stakeholders are trying to make the best of product recommendation engines and gain positive outcomes. Among all the industries, the e-commerce industry seems to be the most victorious one with an impressive sales percentage.
Personalized product recommendations help your online store suggest highly relevant products to users at multiple touchpoints of the shopping procedure. Spontaneous recommendations will make every customer feel like the online store is just created for them and this will result in a natural boost in conversions and order values.
Putting it simply, Relevant product recommendations are vital to businesses because it helps customers stay on a website longer and end up buying their favourite products. It is also important because it allows users to experience a convenient shopping experience rather than searching for something and wasting valuable time.
A personalized product recommendation is the result of a collection of data based upon assumptions according to the user’s behavior. Users are recommended with items that they have been frequently viewing, considering buying, or have been purchasing always. Personalized product recommendation is based on the user’s browser history.
Personalized product recommendation is inspired by the user’s browsing history. For example, if a customer shops for a laptop bag, he might also be interested in buying a mouse, a cooling pad, or even a new laptop. If an elevated percentage of shoppers view the same items during the process of online shopping, ecommerce businesses can reliably recommend these items to the buyer.
And you can also use your consumer’s behavior to make predictions about what your prospects will like. As a result, these powerful, proven suggestions will make your consumers feel special and will enhance their buying experience.
Now that you have a better idea of what personalized recommendations are, let’s take a look at how ecommerce stores benefit from product recommendations.
Cart abandonment is the most vital metric for every ecommerce store. Recommending preferred products on the cart can boost cart abandonment rates.
There are several reasons for a consumer abandoning the cart:
For example, a customer buying a spoon might have wanted to buy a dinner set including plates and cutleries. However, without spontaneous recommendations, the user will have to go to subsequent categories to discover them. This leads to an inconvenient shopping experience and abandoning carts and loss in revenue.
Product recommendation creates binge shopping. Shoppers begin with one product, click through to another, and are attracted by another before they know it’s been 2 or more hours. This shopping pattern helps users to stay on your website longer by just capturing their attention and keeping them engaged with recommendations they never thought to purchase before.
Personalized product recommendations can drive maximum revenue by adding more value to a user’s total cart amount. It also offers relevant cross-sell and up-sell opportunities that influence customers’ interest, resulting in more purchases than just the actual item that they came in for.
Integrating a personalized product recommendation engine into your ecommerce store will set you apart from your competitors and will bring in more sales than you ever dreamed of. Recommendation engines help businesses give a personalized shopping experience to the user as well as succeed in the marketplace.
Muvi’s Recommendation Engine – Alie helps you add recommendations to your home page, product page, cart, and any other page you wish without any hassle. Our AI-based recommendation engine easily integrates with your website and apps to provide a real-time recommendation to your users. Get started with a 14-days free trial and experience them first-hand, the true power of personalized product recommendations.
Written by: Ankit Jena
Ankit is Content Writer for Muvi’s Marketing unit. He is a passionate writer with 5+ Years of Experience in Content Creation And Development. In his past time, he likes to dance, play football and google various things to quench his thirst for knowledge.
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