Related Digital is providing services to 2000+ brands in 30+ countries now.
Deliver personalized product recommendations to your customers, utilizing the data on their behavior, through every channel imaginable, including web, email, mobile, in-store, and even your call center with our powerful smart engine.
Stay Relevant with Personalized Product
Recommendations
Built-in Scenarios to Kick-start
Personalized Recommendation
Product recommendation includes an extensive library of built-in scenarios and lifecycle marketing campaigns – allowing you to execute personalized product recommendations and powerful campaigns right out of the box.
Bring On-Target Product Recommendations with
Web Push
Recommend relevant products to your customers there and then while they are still visiting your website, utilizing the data you collect on their behavior and ensure and increase your sales. Remind them of the products they viewed & liked, alert them about low stocks, and urge them to complete their
Display Your Product Selection on Mobile Devices with
Mobile Push
Send your product recommendations directly to your customers’ mobile devices with our Mobile Push and let them know about your campaigns, announcements, and products they may be interested in. Related Digital offers a variety of mobile push notifications for your different needs, all compatible with iOS, Android, and Huawei operating systems.
Recommend products with:
Grow your business faster with product recommendation!
Contact us today.
Let our experts find your solution.
Show Off Your Top-Performing Products with
Why not prove how popular and in demand your products are? With social proof, you can show off how many people have viewed and bought your top-performing products. Create urgency with a low-stock warning and guide your customers to complete their purchases.
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It is an artificial intelligence application that allows you to make personalized product recommendations to your customers in all channels, from website, e-mail, mobile, store, even call center.
Product recommendation engines analyze data about shoppers to find out exactly what types of products and offers are of interest to them. Based on search behavior and product preferences, they offer contextually relevant offers and product options that appeal to individual shoppers and help drive sales.
Typically, a recommendation engine operating principle consists of data collection, storage, analysis, and filtering. It offers a personalized product or service for each user by examining user interactions.
- Increases sales and average order value.
- It allows you to deliver customized and relevant content.
- It delivers a consistent brand experience.
With a wide variety of business practices, including predicting seasonal purchases based on recommendations, identifying key purchases and providing better recommendations to customers, brands can leverage recommendation systems for two key areas: brand loyalty and enhanced customer retention.
Social Proof