AI Recommendations: How To Win And Sustain Your Customers’ Attention

Recommendations Studio gives every marketer the power of AI to drive intelligent recommendations. For example, retailers can design customer journeys with highly relevant content and recommendations in real-time based on the shopper’s affinities, search and browsing activity, and purchase history. Streaming service providers can use advanced AI to precisely match millions of viewers with hundreds of thousands of media content catalog items and engage viewers with daily content feeds that are auto-optimized based on prior activity.

Our patented AI ranks and optimizes recommendations dynamically using advanced techniques, ensuring that customers always see the most relevant content

Let’s dig a little deeper into what you can expect in the Recommendations Studio.

Our comprehensive customer profiles seamlessly calculate category and brand affinities from user interactions across all touchpoints, leading to heightened personalization.

• Automatically tailor content and product recommendations according to each user’s distinct preferences and affinities.
• Boost conversions by matching customers with products and brands that resonate with their unique affinities.
• Utilize catalog and brand affinities within segments and campaign filters for more precise targeting and personalization

Blueshift provides a library of 100+ pre-built AI marketing recipes, preloaded with configurations for standard campaigns, like abandoned carts, price drops, newsletter feeds based on affinities, and cross-merchandising based on the wisdom of the crowds. Each recipe comes with helpful information on suggested campaigns and user touchpoints, and you can easily configure each recipe to get the best recommendations personalized for your campaign.

Whether it’s engaging an active user on your site or in-app, or re-engaging someone who is fading away or winning back their attention with fresh content you will find a recipe tailored and optimized to that audience.

Once you’ve built the recommendation scheme using our out-of-the-box recommendation recipes, you can add these to your emails, SMS, push notifications, in-app messages, and other notifications using an easy drag-and-drop interface.

For better engagement results, you can easily suppress repetitive recommendations. You can also include seasonal and business promotions alongside predictive content.

The success of organic recommendations depends on many factors. Our Insights reports with advanced recommendation analytics enable you to not only optimize your campaigns by using the best performing recommendations, but also get visibility into which items are being recommended to your users and which ones they are engaging with more.

Creating smart personalized product recommendations can be powerfully engaging for customers, but you don’t need an expanded team of data scientists and machine learning engineers for you to see success. The beauty of our self-service Recommendation Studio is that it works out of the box and provides you with all the tools you need to be successful with a small marketing team.

Within the Recommendation Studio UI, you can configure unlimited recommendation schemes. You have complete control over defining what type of content to include or exclude, mix and match recommendation types, and set backfill rules to ensure users always receive the most relevant offers, products, and content. You can also preview recommendations for any user or segment.

Sweden-based online marketplace Tradera increased sales by 131% with personalized recommendations. Alexandra Tham, Online Marketing Manager at Tradera, said: “Our small, time-constrained team has been able to deliver personalized, 1:1 product recommendations across our website, mobile app, and email campaigns at scale, which we could not do with our previous solutions.” 

Similarly, Zumper, which connects property owners and managers with renters, scaled leads by 384% using predictive recommendations. Russell Middleton, Zumper co-founder, said, “If we had stuck with our old system, we’d need to add a number of people across the board, data scientists, data engineers, and marketers, to achieve the complexity of what Blueshift does for us today.” 

If you have your own external recommendations, you can upload them into Blueshift as recommendation feeds and combine them with our AI-powered recommendations. Test, experiment, and optimize the best-performing combination to drive engagement and conversions.

Learn more about the inner workings of AI recipes in a blog post written by Blueshift senior data scientist, Anmol Suag. In this article, Anmol discusses how to rank recommendations inside recipes. And in this article, we discuss using Auto-encoders to find similar items to recommend.

The power of AI is within the reach of every retailer and digital media company. Give your customers a reason to love your brand even more by putting the most relevant content and products in front of them. Our recommendations experts are here to help you get started. Explore our interactive demo, or talk to our experts today.