As a part of managing your customers Product discovery experience, with Bloomreach Recommendations, you can display recommended products powered by our AI-driven algorithms. Recommendations allow your customers to explore and discover more products resulting in more engagement, ATC and conversions.
You can configure and manage the Recommendation widgets directly from the Bloomreach Dashboard without the need to make complex technical API level changes. Using simple Dashboard operations you can manage widgets end-to-end and use APIs calls only to override the default configuration, if required.
You can power your pages with easy merchandising options listed below:
- Configuration and Management: Recommendation widgets can be configured and managed end-to-end via the Bloomreach Dashboard without using the APIs. However, if you wish to override the default configuration, you must send an API request.
- Switching context: The widget configuration is kept lean so you can switch from one type of use case to another, as and when required. For example, use the Co-view and Co-bought widgets interchangeably by making a simple modification via the Dashboard.
Recommendations Widget Types
The Recommendations Pathways Widget Types are given below:
Frequently bought together
Displays other products that are commonly bought together with a given product.
Frequently viewed together
Displays other products that are commonly viewed along with a given product.
Displays other products that are similar to a given product.
|Experience-Driven Recommendations||Displays highly targeted product recommendations by creating real-time user affinity profiles. and understanding user intent by leveraging Bloomreach Seach understanding as well as site browing behaviour.|
|Bestseller||Displays products that are likely to generate the most revenue.|
|Past Purchases||Displays previously purchased products to a logged-in customer to enable quick add-to-cart (ATC) for repeat purchases.|
|Trending Products||Displays products based on the most popular or trending products for a given time period.|
Where Can Recommendations Add Value?
Recommendations is a customized, unified solution that allows you to add recommendations and pathways in more pages to suit your business needs. Some of them are listed below:
Frequently Viewed Together
You can build a recommendation experience for your users on your product details page to show products that are viewed along with the selected product by other customers. Given below is an example of a recommendation widget used for Frequently viewed together:
Frequently Bought Together
You can show products that are bought along with a specific product by adding a Frequently Bought Together widget on the Product page. Given below is an example of a recommendation widget used for Frequently bought together:
You can increase the visibility of other products that are similar using the Similar Products widget. Given below is an example of a recommendation widget used for Similar Products:
The Experience-Driven Recommendations widget enables you to personalise the shopping experiences for your customers by leveraging the automatically generated real-time user profiles to deliver highly targeted product recommendations.
In addition to curating the recommendations based on historical data, the Experience-Driven Recommendation engine delivers unique and optimal digital experience in real time by rapid data aggregation and analysis of on-going shopper's site visit.
It matches the visitor’s search and browsing activities with the attributes of the products they interact with, leveraging the data to build a unique affinity profile for each individual in real-time and recommend products that have highest chances of conversions for the shoppers.
Each user’s affinity profile is constantly refreshed with every interaction, providing unique insights into their preferences to specific colors, brands, sizes, categories, price ranges, or any such attribute present in the product.
You can promote the sale of products that are most commonly purchased by your customers. The algorithm uses a combination of RPV, ATCs and Views, in order to maximize revenue. Given below is an example of a recommendation widget used for Bestseller:
The best way to allow your logged in customers to repeat a purchase is by using the Past Purchases widgets that displays products based on the past purchase data. Given below is an example of a recommendation widget used for Past Purchases:
Trending Products Recommendations
In order to improve the shopping experience and to increase the end-user engagement and product conversions, you can improve the product discovery (outside search) by recommending popular products at a given time. This widget can be displayed on the Home page or globally. An example is given below:
How to Create these Experiences
To create the above experience, you can check out the following links: