What is online retail merchandising? An introduction
Done any shopping on an ecommerce website lately? If so, you know a smooth online shopper experience is not optional ...
Sr. SEO Web Digital Marketing Manager
Done any shopping on an ecommerce website lately? If so, you know a smooth online shopper experience is not optional ...
Sr. SEO Web Digital Marketing Manager
It’s hard to imagine having to think about Black Friday less than 4 months out from the previous one ...
Chief Strategic Business Development Officer
What happens if an online shopper arrives on your ecommerce site and: Your navigation provides no obvious or helpful direction ...
Search and Discovery writer
In part 1 of this blog-post series, we looked at app interface design obstacles in the mobile search experience ...
Sr. SEO Web Digital Marketing Manager
In part 1 of this series on mobile UX design, we talked about how designing a successful search user experience ...
Sr. SEO Web Digital Marketing Manager
Welcome to our three-part series on creating winning search UX design for your mobile app! This post identifies developer ...
Sr. SEO Web Digital Marketing Manager
National No Code Day falls on March 11th in the United States to encourage more people to build things online ...
Consulting powerhouse McKinsey is bullish on AI. Their forecasting estimates that AI could add around 16 percent to global GDP ...
Chief Revenue Officer at Algolia
How do you sell a product when your customers can’t assess it in person: pick it up, feel what ...
Search and Discovery writer
It is clear that for online businesses and especially for Marketplaces, content discovery can be especially challenging due to the ...
Chief Product Officer
This 2-part feature dives into the transformational journey made by digital merchandising to drive positive ecommerce experiences. Part 1 ...
Director of Product Marketing, Ecommerce
A social media user is shown snapshots of people he may know based on face-recognition technology and asked if ...
Search and Discovery writer
How’s your company’s organizational knowledge holding up? In other words, if an employee were to leave, would they ...
Search and Discovery writer
Recommendations can make or break an online shopping experience. In a world full of endless choices and infinite scrolling, recommendations ...
Algolia sponsored the 2023 Ecommerce Site Search Trends report which was produced and written by Coleman Parkes Research. The report ...
Chief Strategic Business Development Officer
You think your search engine really is powered by AI? Well maybe it is… or maybe not. Here’s a ...
Chief Revenue Officer at Algolia
You looked at this scarf twice; need matching mittens? How about an expensive down vest? You watched this goofy flick ...
Sr. SEO Web Digital Marketing Manager
“I can’t find it.” Sadly, this conclusion is often still part of the modern enterprise search experience. But ...
Sr. SEO Web Digital Marketing Manager
Aug 23rd 2022 product
We are excited to announce that Algolia Recommend is now available for our Adobe Commerce customers. This has been a highly requested feature by retailers, many of whom have been already using Algolia to power search on Adobe Commerce, and are ready to take discovery to the next level.
Recommendations change the typical dynamic of being online: rather than needing to search to find content, recommendations find the content for you. Netflix has said that 80% of people watching on Netflix came from their recommendation algorithm. Moreover, 35% of Amazon revenue comes from product recommendations. Once you have search optimized on your ecommerce site, having relevant recommendations is typically the next area of investment. Having the right recommendations underneath a product details page, on the shopping cart, or as a suggestion upon a “no results” search query can be a game changer.
Co-op, a UK-based grocery store, added recommendations for whenever a user searched for an item out of inventory. They found that while it was a frustrating experience to have your desired product out of stock, they could reduce the friction, improve the customer experience, and get better results by offering related products that the user likely could see as a replacement.
After implementing Algolia Recommend, Co-op saw:
Algolia is known for the flexibility with which we offer AI-based solutions. You can always customize your results, place them anywhere that you would like (whether it be a kiosk, email, or anywhere on your site), and you have transparency into how everything is performing through simulations and scoring to understand why things are being recommended, before going live.
Algolia allows users to blend machine- and human-learning through “Rules” in order to achieve the best results (currently in beta). For example, you may want to display related items on a product listing page. Not only does Algolia use AI to surface similar products likely to be chosen by your customers, we allow you to customize it even further. Perhaps you want all of the recommended items to be the same color as the main product displayed, or maybe you want to pin a promoted item in the first position, or you might want to filter all products that have less than 10 pieces left in inventory. All of this (and much more) is possible and easy to configure for a non-technical administrator using Algolia Recommend.
After signing up for Algolia (get started for free right here), it is important to bring click and conversion events into your account to train your models. This is available out-of-the-box with the Magento integration. For more details, refer to the documentation. As you are getting started, you can use our content-based learning models, or upload past events via a .CSV file to accelerate the learning process.
Through your Algolia dashboard, you can select the indices and train the models based on your click and conversion data. You can further customize the results with Rules. You can also use the Preview feature to simulate the results.
With a few clicks on the Magento Dashboard, you can add your “Related Products”, “Frequently Bought Together”, and “Trending” recommendations to your Product Detail Pages or Cart Page. These recommendations can be further customized by a developer, including being placed on other areas of your site.
Getting started with Algolia Recommend is simple, effective, and worthwhile. Thanks for reading and check out our documentation to learn more!
For more ideas on how to make the most of Algolia in your Adobe stack, check out the rest of our Integration Series, with articles on how to use Algolia with Adobe Experience Manager, Adobe Launch, and Adobe Analytics!
Powered by Algolia Recommend