7 Product Recommendation Software [Reviewed]
Here, you'll find product recommendation software that'll help you personalize the experience of almost every visitor and get those sales figures up.
I reviewed seven popular product recommendation tools for businesses of all sizes and types, so you can have at least a few great options to choose from (or at least inform your research).
Later, grab these product recommendation strategies to start engaging customers.
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More apps to grow your business:
Email capture software (get more emails from visitors)
Lead generation tools (accelerate lead generation)
AI tools for ecommerce (software to help you get things done faster)
Product recommendation software
Here are some of the best product recommendation tools, in no particular order:
Wisepops — Best for increasing revenue on Shopify
Bloomreach — Great for combining personalization and email
Dynamic Yield — Best for service businesses
Klevu — Powerful features for retailers
Nosto — Great real-time personalization and reporting
LimeSpot — Best for small ecommerce businesses
Luigi's Box — Great for small-scale retailers
1. Wisepops
Wisepops is a personalization platform designed to increase ecommerce sales with targeted rule-based and AI product recommendations as well as custom offers based on visitor behavior and historical data.
Wisepops offers three deployment options: strategic popups for timely product recommendations, embedded forms that integrate directly into store pages, and a non-intrusive onsite feed that delivers suggestions based on browsing behavior and top-performing products.
Growth managers choose Wisepops for its adaptive AI and the ability to create recommendations across six categories without a technical team. With built-in revenue attribution, seamless integration with Shopify, and powerful reporting, Wisepops can drive measurable impact even for small teams.
"Wisepops empowered us to weave personalized touchpoints throughout the customer journey, seamlessly and without involving our technical team."
Lucie Poirier, Digital marketing manager, émoi émoi
Key features:
Six recommendation categories. Convert with strategic placements of bestsellers, complementary products, frequently bought together, viewed items, personalized selections, and trending items
Adaptive AI technology. Continuously optimize recommendations based on your store data and purchasing intent
Comprehensive analytics suite. Make data-driven decisions with performance reporting, including direct attribution to and revenue per visitor
Multiple onsite channels for suggestions. Deploy recommendations through the onsite feed, popups, and embedded product blocks, optimized for stores of any size and traffic
CRO experimentation tool. Get advanced analytics to track full customer journeys, measure incremental impact, leverage control groups for accurate comparisons, and provide statistically significant insights to help you optimize your store's performance
How online stores recommend products with Wisepops
There are three ways to implement product recommendations:
popups
blocks embedded in pages
the onsite feed
Let's begin with popups.
There are the categories of recommendations you can use:
To add them, simply choose your category in the campaign editor:
The next way to implement recommendations is by adding them to blocks that can be embedded into your store's pages. This helps to choose when customers see them.
Let's create a Frequently bought together campaign, for example.
When you add the recommended products to your campaign and customize the design (here's what a campaign could look like in the editor, for example), you will integrate it into your chosen store page with CSS selectors.
Using CSS selectors is a simple and beginner-friendly way to add product recommendations almost anywhere on a website, giving you freedom to experiment with different tactics.
For example, here's how our campaign might look like if we add it on the product category menu page:
The next way to recommend products with Wisepops is the onsite feed.
The feed is an easy and subtle way to share marketing offers with visitors while they’re browsing your site. Designed like a social media feed, it sits in the website header and shows up on almost every page.
Visitors can check out the feed anytime by clicking the “bell” icon.
Here’s how it looks on Nikura, a Shopify store with a custom theme. As you can see, there are three messages waiting for us to check out:
Click it, and you’ll see a feed with marketing messages.
The first two have limited-time offers, and the third invites suppliers and businesses to check out special prices:
Nikura's feed highlights special offers, but you can also add messages featuring product recommendations such as best-sellers and recently viewed items.
For example—
A.P.C., the French luxury clothing brand, shows off their best-sellers like this (check out the first notification):
If customers click that notification, they will see the list of the best-selling products:
You can also make shopping easier for your customers by enabling Add to Cart buttons, so they can purchase products directly from the feed:
In addition to best-sellers, the feed uses a built-in AI algorithm that analyzes browsing habits and product sales. By combining historical and real-time data, it creates a tailored list of recently viewed items, highlighting the top-performing ones.
Take a look at the first message in the feed at émoi émoi—it shows three products I viewed in just one visit.
About 11.4% of customers who click on these recommendations at émoi émoi go on to make a purchase!
The algorithm runs on its own without needing any maintenance or tweaks, which makes it a great option for marketing teams looking for cost-effective solutions.
Also, with revenue attribution, you can easily track ROI to see the impact of product recommendations from Wisepops.
How does Wisepops compare against other ecommerce product recommendation platforms?
Wisepops stands out with its three flexible deployment channels (popups, embedded forms, and the onsite feed), making it more versatile than Rebuy, LimeSpot, and Nosto, which focus primarily on popup-like "widgets."
The platform is designed to allow marketers to manage recommendations without developer assistance, whereas similar popular product recommendation services often require technical support for setup and customization (with is sometimes the case with Rebuy and Nosto, as suggested by some reviews on Shopify).
Also, Wisepops offers more transparent pricing, especially when compared to Nosto, which lacks a clear, one-size-fits-all pricing model.
What you can do with this product recommendation tool:
Display dynamic product recommendations, including "You recently viewed," "Others also viewed," best sellers, frequently bought together, trending products, and personalized picks
Drive a sense of urgency with "best-selling" and "soon out of stock" stickers
Engage customers throughout their onsite shopping journey with personalized recommendations at key touchpoints
Add unique discount codes from your Shopify dash directly in Wisepops
Track campaign performance with goal tracking and revenue attribution
Optimize conversions with advanced CRO Experiments, including insights like revenue per visitor and A/B/n testing
Drive higher average order values with upsell and cross-sell popups
Personalize marketing offers using Shopify visitor targeting properties
Personalize recommendations by targeting your Klaviyo customer segments from your Wisepops account
Pros
Effective from day one
Proven to increase revenue by up to 5%
Show recommendations in popups, embedded blocks, and the onsite feed
Designed to help implement product recommendations with minimal developer assistance
Quick and easy setup thanks to a deep Shopify integration
Autonomous, constantly improving machine learning algorithm
Powerful performance analytics (including revenue tracking)
Easily control recommendation logic by including or excluding certain product IDs
Seamlessly integrates with Shopify, syncing product catalogs, your customer data, and order history
Cons
No free plan (only 14-day free trial)
Results from Wisepops users
émoi émoi achieved an 11.4% order rate on AI-recommended products
Black Ember drove 2,059 product page visits from a single featured product recommendation
L'Atelier d'Amaya boosted jewelry sales by strategically positioning recommendation embeds under Buy Now buttons
Pricing
You can use Wisepops for 14 days for free.
The paid plan pricing begins at $99/mo.
See full pricing.
A special offer is available for enterprise needs, too.
Get started in minutes—no coding required. Try Wisepops free for 14 days and see how much extra revenue you can generate:
14-day free trial, no cc needed. Learn more about Wisepops
Note: AI product recommendations are included in an advanced plan. Please, get in touch with our support so they activate this feature for your free trial.
"The notification feed at OddBalls has been instrumental in helping us to gather data, assist conversion rates, promoting new launches and ultimately generating revenue since we launched it. It's a fantastic feature that has been in use for over a year... We highly recommend the use of the feed for all stores"
2. Bloomreach
Bloomreach is a marketing personalization suite that includes omnichannel marketing, onsite search, headless CMS, and product recommendations. So you can take care of recommending products on your website and outside (in emails, SMS, or mobile apps).
Key Features:
AI-powered product recommendations
Dynamic targeting and real-time product recommendations to personalize the visitor experience
Additional growth features (merchandizing, SEO, and search personalization)
Our experience with Bloomreach
If the idea of a product recommendation tool for both onsite and offsite marketing appeals to you, then Bloomreach should be a good option.
If we're talking about the onsite part, you add pretty much any product recommender box to your store using one of the many templates:
Creating a recommendation is pretty easy, too.
You need to go through a series of settings (define where to display the campaign, choose product categories, select the time during which the model learns what products to show, etc.) and then preview the campaign (below).
From there, it's just adding the code to the website and checking the performance (AI features will help to improve it, too):
What you can do with this product recommendation software:
Add sections with recommended and similar products to any page, including shopping cart and blog posts
Import data about your customers and product into AI to quickly define the most relevant recommendations for every shopper
Send marketing emails, sms, and in-app messages with product recommendations from inside Bloomreach
Pros
Very visual, easy-to-use recommender box editor
Multi-channel integration of product recommendations
Real-time personalization of shopping experience for higher profits
Cons
The functionality is designed to best meet the needs of retailers
Limited reports for analytics
Who should try Bloomreach?
Large ecommerce stores that need a site search personalization and product recommender solution in one.
Pricing
Bloomreach doesn't list pricing but the cost depends on the size of your product catalog and page views on your store. Although you can buy product recommendations as a separate service, various online sources suggest that the cost could start from $200/month for mid-sized ecommerce stores.
Need to grow your Shopify sales
Inspiration for campaigns that promote products, increase cart size, or highlight recommendations:
Dynamic Field is one of the leading product recommendation engines for large businesses. The rich feature suite is geared towards businesses in the travel, B2B, financial, media, and gaming industries.
Key Features:
Deep learning algorithms that provide contextual recommendations for large retailer websites
Customer insights from traffic to enhance marketing strategies
A gallery of recommendation templates for popular goals
Our experience with Dynamic Yield
With this software, you can embed or otherwise show any product recommendations almost anywhere on your website. You get seven campaign types to choose from, so your recommendations will not interfere with other projects you may be running:
It might take you a while to figure out how to create campaigns in this product recommendation software (there's just so many features to choose from). But once you get a hang of it, you'll see that you can create recommendations literally for every user, for any possible customer journey.
For example—
If you'd like to try an upsell strategy on a shopping cart page, your campaign options might look like this (a combination of items that others have bought/viewed with the product the customer has in the cart):
What you can do with Dynamic Yield:
Show product recommendations in dynamic content, manually embedded sections, notifications, overlays, and the traditional sections
Create personalized recommendation campaigns for each user with AdaptML, an AI algorithm that predicts purchase intent
Test recommendation campaigns to improve performance
Pros
Place recommendations almost anywhere on your website
A lot of filters and customizations to create personalized recommendations for most visitor and customer groups
Get a variety of built-in apps (including for email marketing and marketing intelligence)
Recommend products in emails, your mobile app, or connected devices
Cons
Requires some tech expertise with implementation
No ability to export some reports
Who should try this product recommendation tool?
Mid-sized and large real estate websites, travel agencies, financial companies, and B2B businesses.
Pricing
Dynamic Yield does not list pricing on their website. You can request this information on their demo request page.
See how successful businesses promote products:
4. Klevu
Klevu is a site search personalization and product recommendation tool that promises to improve ecommerce sales by up to 6% thanks to AI algorithms. It gives you a comprehensive set of features for ecommerce out of the box, and is used primarily by retailers.
Key Features:
Powerful website search personalization
Product recommendations for homepages, product pages, cart pages, and category pages
Live view with the top site searches and top viewed products
Our experience with Klevu
I could tell right away that Klevu is a powerful product recommendation platform due to the sheer number of features. But that also means that there's a bit of a learning curve—the dashboard did not feel very intuitive at first (although the customer support was very quick to respond).
Creating a product recommendation means going through a series of steps, including choosing the pages (below) and defining target shoppers:
In terms of analytics, you get a lot of useful performance info, which will also help you get an idea of how to upsell, cross-sell, and otherwise improve conversions. Klevu also calculates how much in revenue it made so you can access its impact on your business:
What you can do with this product recommendation tool:
Add "recommended products," "similar products" and "others also bought" sections to pages with products and menus on your store
Track performance (CTR, product clicks, sales, and popular product segments)
Target specific shopper segments from your Klaviyo account
Pros
A great option for enhancing native site search and product recommendations in many ecommerce platforms
Impressive product recommendation features for retailers and marketers who have a lot of experience with similar tools
Easy to customize and manage sections with recommended products
Cons
The cost can rise very quickly
AI features are included in a separate, more expensive plan
Who should try Klevu?
Klevu's set of features makes it a good fit for retailers.
Pricing
Klevu gives you a 14-day free trial to test recommendations and search personalization features.
If you decide to continue, you can get Klevu's product recommendation engine as a separate offering for $399/month for 500K impressions (which is not a lot if you're a retailer). AI features (including AI product recommendations) are included in a special plan that starts from $1,497/month.
Have a Shopify store? Get ideas on how to sell more:
5. Nosto
Nosto is a platform for content and ecommerce personalization that includes product recommendations features. If you'd like to do massive experiments with website personalization that includes product recommendations and dynamic site personalization, look into this tool.
Key Features:
Machine learning algorithms for recommending relevant items based on data
Real-time reporting on what recommendations and techniques engage your visitors
Highly flexible control features, allowing to change, adjust, and deploy recommendations easily
Our experience with Nosto
Unlike some of the product recommendation platforms we've reviewed, which cater to mid-sized and large retail businesses, Nosto targets ecommerce stores that want to implement large-scale personalization campaigns.
In our experience, the dashboard in Nosto is one of the "cleanest" and most modern-looking we've seen, which also means it's very intuitive:
The range of product recommendation features is well enough for mid-size and large businesses. Apart from the traditional sections with recommendations, the tool also has an interesting feature called Dynamic Bundles.
What this feature does is display related products on product pages to encourage more shoppers to buy sets of items. Here's what the dynamic bundle looks like on Pelagic, one of Nosto's clients:
What you can do with this product recommendation software:
Recommend products on autopilot
Let AI analyze and choose product recommendations based on performance data
Offer personalized upsell, cross-sell, and other marketing offers
Pros
Highly intuitive interface
Has enterprise-level features
Improve average order value with automatic bundles
Cons
May become quite expensive quickly
New users can be overwhelmed by the numbers of features and will need to learn with Nosto Academy (a collection of training videos available only for users)
Who should try this product recommendation tool?
Online stores and marketing agencies.
Pricing
Nosto does not list pricing on its website. Different sources say that they charge a percentage of sales made through the tool. You can request pricing info by filling out a special form.
Quick ideas on how to increase average order values:
6. LimeSpot
If you're a startup or a small ecommerce store, LimeSpot can be a good option for you to get started with product recommendations. It's got a generous free plan and decent features for just $18/mo, which could be just right for the budget and needs of smaller businesses.
Key Features:
Add the most popular types of product recommendations (related items, trending products, upsell, and cross-sell)
Options to engage at the shopping cart page and post-purchase (shopping cart page customizations and email & sms marketing functionality)
Integration with loyalty program apps to display reviews in banners with recommended and related products
Our experience with LimeSpot
This product recommendation software works only with Shopify and BigCommerce, as evident from the signup page. So if your store runs on another ecommerce platform, you wouldn't be able to try this tool:
With LimeSpot, you can place boxes with recommended products pretty much anywhere in your online store. There are helpful templates and ideas to speed up this process:
What you can do with LimeSpot:
Add product recommendations to product pages, category pages, shopping cart pages, checkout, and thank-you pages
Use upsell and cross-sell features to create product bundles automatically
Engage more shoppers with built-in email and SMS marketing features
Pros
Good basics: you can add various types of product recommendations to important pages like product pages and cart
You can get started with using product recommendations for free if your traffic is low thanks to the free plan
Create personalized customer journeys with segmentation and content curation
Cons
Not as advanced as Nosto, Dynamic Yield, and other tools
Available only for Shopify and BigCommerce
Who should try this product recommendation tool?
Small ecommerce stores can use LimeSpot to get started with product recommendations thanks to its rather affordable basic plan.
Pricing
You can start using product recommendations in LimeSpot for $18/month. More important features like A/B testing and revenue dashboard are available in higher, "pay-as-you-grow" plans.
A free 15-day trial is also available.
Want to take a step back and see how other businesses recommend products?
7. Luigi's Box
Luigi's Box is a comprehensive tool designed to enhance the ecommerce experience by providing accurate product recommendations. With its advanced algorithms and user-friendly interface, it offers a seamless way for ecommerce and SaaS businesses to increase their conversion rates.
Key Features:
Personalized product recommendations based on individual customer behavior and preferences
Website search personalization features to speed up product discovery
Detailed analytics dashboard to track the performance of product recommendations and adjust strategies accordingly
Our experience with Luigi's Box
Luigi's Box impresses with powerful features that cater to both small and large ecommerce businesses. You can create recommender boxes for product pages, menu pages, cart pages, and checkout.
Let's see an example: these "recommended accessories" and "customers also bought" sections on Musiker were made with Luigi's Box:
The analytics for both site search and product recommendations were some of the most easy-to-understand we've seen so far. For example, here's a look at the recommendations analytics based on the website conversion funnel:
What you can do with this product recommendation software:
Deliver personalized shopping experiences by suggesting products that match each customer's interests thanks to AI
Increase revenue through targeted upsells and cross-sells based on the browsing and shopping behavior of your visitors
Gain insights into customer preferences and behavior with comprehensive analytics
Pros
Add recommender boxes anywhere in your store
Easy to use with a minimal learning curve
Integration with the most popular ecommerce platforms
Cons
Price increases fast if you choose a higher plan
Overwhelming interface for beginners
Who should try this product recommendation tool?
Mid-sized stores and retailers.
Pricing
You can try Luigi's Box for free for 30 days. The pricing is based on the number of products in your catalog (which is a bit confusing at first). Using the price calculator, I found that the tool may cost anywhere between $200 and $500/month for a mid-sized store.
Summary
Investing in quality product recommendation software is investing in the future of your e-commerce operation. These tools lay the groundwork for deeper customer relationships, increased sales, and sustainable growth.
Interested in finding more strategies for increasing sales?
Take a look at these guides from our blog:
Apparel marketing guide [Learn how fashion stores grow sales]
Ecommerce website design examples [Get inspired by gorgeous store designs]
Flash sales guide with examples [See how to sell more with flash sales]
Oleksii Kovalenko
Oleksii Kovalenko is a digital marketing expert and a writer with a degree in international marketing. He has seven years of experience helping ecommerce store owners promote their businesses by writing detailed, in-depth guides.
Education:
Master's in International Marketing, Academy of Municipal Administration
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