When it comes to ecommerce, every sale needs to be seen as an opportunity to upsell and maximize your revenue. When the cost of customer acquisition is so high, every potential customer shopping with you needs to be nurtured and upsold if you want to run a successful business and grow.
To do so, you’ll need to take advantage of every tool at your disposal to ensure that every customer is finding both what they need and what they don’t know they need yet at your store. Enter Adobe Commerce Product Recommendations, a feature designed to keep customers engaged with your site and guide them through your catalogue using behavioural data, other customer journeys, and more.
Read on to learn how Product Recommendations work, how to implement them into your ecommerce website, and how they can help you drive conversions.
What are Adobe Commerce Product Recommendations?
Adobe Commerce Product Recommendations is a SaaS-based service in the form of an extension available in the Adobe Marketplace. Powered by Adobe Sensei AI, Recommendations is a powerful marketing tool that uses machine learning to automatically tag and recommend products using “recommendation units” that users can display in various places on their ecommerce store websites, such as their home page, product pages, and cart pages.
Are Adobe Commerce Product Recommendations the Same as Adobe Live Search?
While these two tools are similar and share many of the same features, Adobe Live Search uses the same recommendation engine to provide intelligent product recommendations within your store’s search bar and search results page. At the same time, Product Recommendations allows you to add smart modules to various store pages that also populate smart recommendations to shoppers.
Both tools utilize Adobe Sensei AI technology, leveraging machine learning algorithms to aggregate customer insights and behaviours, thereby customizing product recommendations and search results. Still, they exist to fill separate roles on your website and are visible in different areas of your store.
The Product Recommendations Experience for Customers
When customers start interacting with items in your store, product recommendations will begin to surface in the Product Recommendations Module you’ll configure in your Adobe Commerce Admin.
These modules can recommend similar products to your customers based on their behaviour in your store, the popularity of certain products, and which products are similar to what they’ve already looked at or bought.
Clicking on a product will also populate the module on the individual product pages and recommend products in real time based on what a customer is browsing on your site. For best results, set these modules to display content similar to “products you may like” or “related products,” giving customers the impression that they’ve gained a holistic view of all your offerings in specific styles, models, or colours, for example.
These recommendation units can, of course, be styled, branded, and updated to show/hide different data or attribute fields depending on what products you’d like to push to customers for whatever reason you choose. With this level of customization, you can ensure that your modules match your website's look and feel while displaying only the most relevant products to shoppers.
How to Implement Recommendations in Adobe Commerce
Since Adobe Sensei already tags products and adds them to your recommendation units, you, as a merchant, do not need to code or create data streams, making the setup process quick and easy.
From your Adobe Commerce admin, navigate to the Adobe Recommendations settings to view a home page displaying all your created recommendation modules, along with key reporting KPIs such as CTR, revenue, and views. This helps you understand the performance and engagement rate of your recommendation units.
Creating new recommendations is easy. Once you pick an internal name for your unit, select which page type you’d like to deploy it to (check out, home page, cart, product page, etc), and select a recommendation type category. You’ll have four choices: Personalized, Cross-Sells & Upsells, Popularity, and High-Performing. You can select from Adobe’s more granular recommendation types from there, which we’ll break down in a moment.
As you select options, products that fit your selection will automatically populate the preview on the right side of your screen. Next, give it a shopper-facing name, select the number of products you’d like to display, and choose where to place this recommendation unit (top or bottom of your main page content).
Finally, you can decide which products should and shouldn't be populated in your new recommendation unit. You can choose to include or exclude products based on price, category, product, stock status, low stock, type, or visibility, making the whole tool extremely granular and customizable.
Once you’re happy with your module, hit “activate,” sit back, and let it start upselling for you!
Adobe Sensei Product Recommendation Types
Currently, 13 unique recommendation types are available out of the box with Adobe Commerce. Here are all the options you can currently select from when creating a new unit:
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Recommended for You: Based on each shopper’s current and previous unique behaviour.
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Recently Viewed: Based on the shoppers' most recently viewed products.
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Viewed This, Viewed That: Based on products that customers who viewed the product also viewed.
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Viewed This, Bought That: Based on products that customers who viewed the product also bought.
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Bought This, Bought That: Based on products that customers who bought the product also bought
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More Like This: Based on similar metadata such as name, description, category, and attributes.
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Visual Similarity: Based on similar-looking products to the product being viewed.
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Most Viewed: Based on products that were viewed the most within the last seven days.
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Most Purchased: Based on products purchased the most within the last seven days.
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Most Added to Cart: Based on products added to the cart the most within the last seven days.
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Trending: Based on the recent momentum of a product’s purchase popularity.
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View to Cart Conversion: Based on the highest view-to-cart conversion rate on the site.
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View to Purchase Conversion: Based on the highest view-to-purchase conversion rate on the site.
What are the Benefits of Using Adobe Product Recommendations?
Implementing artificial intelligence and machine learning with Adobe Sensei enables the feature to run on autopilot based on the filters the merchant selects, so there’s no need for manual input. As a merchant, you can “set it and forget it” while being confident that your customers benefit from a highly customizable and adaptable shopping experience.
Intelligent recommendation types allow for easier upselling and cross-selling than ever before. A recent study by Barilliance found that 31% of ecommerce revenue is generated through personalized product recommendations, making a tool like Adobe Commerce incredibly powerful for any business looking to maximize sales and profits with minimal setup and maintenance.
The ability to recommend products based on who is browsing the site offers merchants a unique opportunity to capitalize on a customer’s real needs and interests without implementing more invasive sales tactics like pop-ups. It’s also an easy way to increase a customer’s time spent on-site and engagement level with your products, since there is a very good chance that they would want to see the products your recommendation modules are showing them to begin with.
Remember, many shoppers are browsers. They might be poking around your website, knowing they want to buy something, but they’re not sure what. Product recommendations like those implemented through Adobe Experience Cloud and Adobe Commerce ensure shoppers see as many products as possible without being invasive or overwhelming.
Finally, automating product recommendations saves time and resources that could be better spent on other aspects of your business, such as customer acquisition, product development, and marketing campaign development.
Conclusion
Adobe Commerce, enriched with the power of Adobe Sensei AI, offers an unparalleled tool with its Product Recommendations offering. It's not just about recommending products; it's about creating a personalized, engaging shopping journey for each customer.
This tool's intelligent recommendation types, ease of implementation, and seamless upselling and cross-selling capability demonstrate its value to merchants hungry for growth. In the crowded and ever-evolving ecommerce landscape, Adobe Commerce stands out for businesses striving for excellence and profitability
