Experro’s Recommendations are a pre-defined set of AI-driven algorithms that have been thoughtfully designed to showcase personalized product suggestions for shoppers on your website.
Our recommendation algorithms empower you to effectively display relevant products based on customer’s unique behaviors, interests, and past interactions with your site, leading to positive results such as an increase in average order value, longer session times, and improved conversion rates.
In today's competitive online business landscape, understanding and catering to each customer's unique interests and behaviors is crucial. To help you achieve this, our recommendation system is here to empower your business and drive higher engagement and improved conversion rates on your website.
1. Cross-selling: encouraging customers to buy complementary products, increasing their cart value.
2. Up-selling: Convincing customers to opt for higher-end or more premium products, leading to larger transactions.
Available Recommendations Algorithms
Here is the list of recommendations that Experro provides that are AI-powered:
- Recommended For You (RFY): personalized suggestions based on the customer’s unique behaviors and interests.
- Frequently Bought Together (FBT): Grow order value by monetizing cross-sell and up-sell opportunities powered by behavioral trends.
- Frequently Viewed Together (FVT): Drive engagement by suggesting products that other shoppers with similar preferences view.
- Similar Products (SP): Help conversion or up-sell by recommending alternative products that are similar to the current product.
- Popular Products (PP): Drive higher engagement by showcasing your most trending products for a dynamic experience.
- Hot New Releases (HNR): Boost the visibility of recently launched products and brands that are now available in your store.
- Best Seller (BS): Drive more sales from products that are most purchased across entire stores or categories.
- Recently Purchased: Enable easy re-ordering by showing items that the shopper has recently purchased.
- Recently Viewed: Increase engagement by showcasing the recent items of interest.
- Query-Based Algorithm (QBA): Drive engagement and conversion by suggesting products based on any business rules.
- Pick-up Where You Left Off (PWYLO): Improve conversion by encouraging shoppers to place orders for the items they recently interacted with.
- Inspired by Your Browsing History (IBYBH): Drive engagement by instantly showing personalized suggestions based on the shopper’s browsing history.
Recommendation Features
- Experro’s essential features revolve around a dynamic widget-based approach, which not only boosts user engagement but also enhances conversion rates. Experro’s AI recommendations are designed to guide end users and shoppers toward their personalized products using their search and past preferences.
- Experro simplifies the process of configuring and managing recommendation widgets through
Widget Configurator. - By default, the Experro system will offer optimized recommendations for each algorithm. You don’t need to add custom merchandising rules for various contexts unless and until you want to modify the behavior of the basic algorithm.
- Experro allows you to create multiple widgets in any specific algorithm:
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Merchandising Capability:
In recommendations, Merchandising allows you to configure or create your customized rules by providing some inner rules, pin rules, sort rules, and slot rules. You can choose to apply these rules globally or from options like the home page, product page, category page, cart, and search page according to your preferences.
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Rule type:
Experro allows the application of these recommendation rules to specific pages on your website, such as the home page, product page, category page, cart, and search pages. For instance, on the product detail page for a laptop, the system can suggest related accessories, software, or warranty options.
To know more about rules, visit our article, which gives a brief description of rules. -
Fallback Algorithm:
Imagine your primary recommendation algorithm as the star performer on stage, dazzling your audience with personalized content suggestions. But even stars have off days. When your primary recommendation algorithm falters, the fallback algorithm becomes the reliable understudy, ensuring the show goes on without a hitch.
In Experro, integrating the fallback algorithm is as important as fine-tuning your primary recommendation engine. It involves setting up predefined rules, such as displaying trending content or fallback categories, to bridge the gap seamlessly when the primary algorithm encounters issues.
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Schedule Widget:
Schedule Widget is the trusted companion for your content, guiding you on when and where to present your valuable recommendations. In today's dynamic digital landscape, timing holds immense significance. User behaviors are in a constant state of flux, and trends come and go like the changing tides. With the Schedule Widget, you can synchronize your content recommendations with the ever-shifting currents of your audience's interests.
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Preview :
Experro allows you to preview the rules you have customized.
When should I use recommendations?
Consider implementing recommendations in the following scenarios:
- Recommendations are valuable for your website for any range of content or products.
- When you prefer an automated approach, allow our AI-based algorithm to intelligently choose products based on purchase history, views, search history, and other interactions with your site.
- E-commerce websites should use recommendations to boost sales and encourage upselling and cross-selling.
- For content-driven platforms, like news websites or streaming services, recommendations can keep users engaged by suggesting articles, videos, or music that match their preferences, extending their time on your platform.
- When you want to spend less time on setup and maintenance, For example, a carousel on a product page that presents a "Frequently Bought Together" collection based on what other users who have bought this product have also bought:
Overall, recommendation algorithms can be a valuable tool for improving the user experience and driving business results. If you are using Experro, then you should consider using recommendation algorithms to personalize the user experience for your website.
Why should I use recommendations?
- AI-powered recommendations enable you to offer personalized content suggestions to users. By analyzing their behavior, preferences, and historical data, you can tailor the user experience, increasing user engagement and satisfaction. Users appreciate when their preferences are considered, leading to higher user satisfaction and loyalty.
- Well-targeted recommendations can retain users by showing them products or content they're likely to be interested in, ultimately increasing user attention, higher conversion rates, an increased average order value, and also increasing session time on your website.