Product Recommendation to Improve the UX of Your OTT Store

The Recommendation engines are being used increasingly across the various industries and the OTT (Over-the-Top) industry is one of them. While its main purpose is recommending the most relevant content to the users, it can also help in improving the UX of your OTT store . The UX or user experience can be defined as how a user experiences or interacts with your content. The UX is of utmost importance for any online business, and your OTT platform is no exception. 

Here we will discuss how product recommendation can improve the UX of your OTT platform. So let’s get started!

• Timely Product Recommendations

A product recommendation engine should be able to provide the recommendations at the right time. Timely recommendations are as important as relevant recommendations are. For instance, if a user of your OTT channel has just finished watching a mystery series and liked it, then there is a higher chance that the user will watch a similar series or movie next. So, it’s important to make the recommendation on time.

• Smart Offers 

It is crucial to catch the attention of the first time visitors to your OTT store. Research says that more than 90% of the first time visitors are likely to leave your OTT channel without taking the subscription. Smart offers are the offers made by a product recommendation engine based on the user online behaviour patterns. Your online customers have an attention span of 8 seconds on an average. And by this product recommendation technique, your OTT content will become more noticeable. It provides the better UX to your existing customers as well. 

• Above the Fold Recommendations

Survey found that more than half of the first time visitors of any OTT store don’t have enough time to scroll down and find the content they like. So, most of the product recommendations should be shown above the fold to your customers. This will not only improve the UX of your OTT platform, but will increase the conversion rate considerably.

Also read: How does a Recommendation Engine Use Predictive Analysis?

• Theme Based Recommendations

Have you noticed how the e-commerce stores display offers based on the upcoming occasions or seasons? Even the OTT platforms follow the same type of recommendations, such as theme based movies for Christmas, New year, Halloween, etc. Providing theme based suggestions to your users is an effective way to improve the UX of your OTT store and catch the attention of more potential users.

• Identifying Returning Visitors

The visitors to your OTT store always like to get recognized. It’s even better if your OTT platform displays exactly what they like without them doing anything. A product recommendation system is capable of suggesting the preferred content from the previously browsed categories, providing targeted discounts on the recently viewed products, and many more. No doubt that it helps in improving the UX of your OTT store to a large extent.

Wrapping Up

Improving the UX of your OTT store is not a hard task. You need to focus on multiple factors and think out of the box to get noticed amidst the tough competition. A poor UX is not only a big turn off for your existing users but it also increases the bounce rate affecting your OTT business. However, the above mentioned product recommendation tips will help you in the long run.

Muvi Recommendation Engine Alie is quickly integratable, scalable, equipped with advanced algorithms, and provides real time recommendations. Alie also offers tailored recommendations and has adaptability across domains. Want to explore it? Try it out for free!