Content & Product Recommendations

Personyze’s Recommendation Engine shows each visitor exactly what they are most likely to be interested in, using predictions gleaned from your data. Stay one step ahead by placing the right product or content in front of each visitor.

Deliver relevant experiences through personalized recommendations across the entire visitor journey.


Combining personal & crowd wisdom

Personyze recommendations utilize each visitor’s individual interests, transaction history, demographics, as well as machine learning that harnesses crowd wisdom extracted from similar visitors, to generate highly personal recommendations.

A Recommendation for Every Scenario

Embed Personyze recommendations anywhere in your funnel, with product and content algorithms for anonymous visitors, suggestions backed by past transactions for returning visitors, cross-sales for cart pages, and remarketing emails.

Customizable Cross-Channel Widgets

Personyze recommendations include a Wishlist widget so that visitors can save products for later, and Buy It Together widgets so visitors can check out with a few related products in one click. Code snippets are available to embed recommendations in emails or app.

Easy Integration of Your Data

Synchronize your product/content data automatically using our site content crawler, or use spreadsheet URL, API, or SFTP. Mapping the feed can also be automated, with our contextual algorithm that reads your content, and identifies and ranks interests/topics.

ecommerce recommendationsecommerce recommendations

Increase Sales with Personalized Product Recommendations

The recommendation engine analyzes the unique browsing and buying behavior of every visitor to your store and then builds a unit of recommendations for each visitor, based on individual ranked visitor interests and demographics, as well as crowd wisdom extracted from other traffic on your shop. The result is dynamic recommendations pushed in real time at every touch-point, to give the visitor the most relevant products at each exact moment, which means more repeat visits, higher order sizes and, most importantly, more sales.

Best Sellers & most popular

Best Sellers & Most Popular

This category of algorithms involves showing visitors what is most popular (according to views, adds to cart, likes, comments, purchases, etc.), based on an item that the visitor is currently viewing, a category that they are known to like, or other options.

Popular with Those Who Bought from This Category

This recommendation shows products that were popular among those who bought and viewed items in the category of the item currently being viewed.

You may like based on similar users

Based on Similar Users

This recommendation shows products that the visitor may like, because other visitors with similar characteristics viewed, added to cart, or purchased them often.

Popular in Your Neighborhood

This recommendation shows items that are popular among other visitors from the same geographic region, or from the same referrer(s).

Hot sales from items you viewed/left in cart, or interest

This recommendation shows popular items which have recently lowered in price, based on the visitor’s ranked interests from past browsing.

New on the site from category you purchased in the past

This shows the visitor the newest items from categories they have viewed or purchased in the past.

Buy/View It Again

This type of recommendation is to remind a visitor to purchase perishable items again after a certain period of time, or show recently viewed items.

Up-sell & Cross-Sell

This recommendation will show the visitor products higher priced but similar to the product currently being viewed or on his cart, or which have an up-sell association in the product catalog.


This recommendation will show the visitor other products that were frequently bought together with the product currently being viewed, or which have a cross-sell association in the product catalog.

Improve Readership With Content Recommendations

Personyze’s dynamic content recommendations engine utilizes  visitors’ personal data combined with contextual recommendations and predictions based on crowd data from other visitors, producing dynamic content recommendations pushed in real time at every touchpoint, giving the visitor the most relevant content at every moment. The end result is higher engagement and return visits.

Those who read this also read this

Shows visitors on a content page what other posts have been most popular among other visitors who read the current post.

Most popular/commented from this category or Topic

Shows the visitor the most viewed, commented, favorited etc. content from the same category or topic as the content currently being viewed.

Inspired by you recent reading

This recommendation will show a list of most popular content based on those categories most recently read by the visitor.

Trending now content

This recommendation will show the content that is most popular recently.

Demographic from Facebook or CRM

When you have demographic information on visitors, such as gender or age, you can show items that were popular among their similar demographic. Demographic/CRM variables can be any custom variable you have on your visitors.

Continue Reading/Read It Again (Cross-Device)

Show visitors items which they previously read but did not scroll to the bottom of the page, across devices.

Those Who Read This Bought These Products

This recommendation is good for guide and info pages, and shows products frequently bought by visitors who read the same content currently being read.

Most Popular Content from Visitor’s Favorite Author/Topic

This will show the visitor the most viewed/commented/liked content from their most read author/topic on the site.

content recommendations engine
content recommendationscontent recommendations engine
remarketing email recommendations
remarketing email recommendationsremarketing email recommendations

A Uniquely Personal Cross-Channel Visitor Journey

Send personalized email drips with product/content recommendations, targeted content, and promotions directly from Personyze, or embed them into emails with your third-party provider. Create a seamless experience as the personalization flows from your emails to your site, partly based on the email they arrived from.

Now on sale from past interests/left in cart

This recommendation shows the visitor items that have recently changed in price, based on what they previously interacted with or left in their cart.

Cart abandonment email drip

This type of email recommendation reminds the visitor of items they left in their cart, as well as recommends similar items, in emails sent at intervals determined by you.

time to resupply

This recommendation type reminds the visitor to re-stock perishable items, and can be sent only at certain intervals determined by you.

Most recommended for you

This email recommendation uses machine learning to detect patterns in the crowd data, and based on the visitor’s characteristics will show them what they are most likely to be interested in.

Cross-Sell Based on Last Purchase

This email recommendation suggests items which other visitors who made the same purchase as this visitor’s most recent purchase also bought, or items which have a cross-sale association in the catalog with the visitor’s most recent purchase.

Newly listed items/accessories for you

This email recommendation will suggest items to the visitor that have been newly added, which go together with items previously purchased.

Send my cart to email button

This button on the site allows the visitor to opt-in for their cart to be sent to their email, as a reminder. If their email is not known yet, it can trigger an email form to be launched in the form of a popup, which can then be used for other remarketing emails, as well.

inspired by your past reading

This recommendation type shows visitors the most popular content based on the visitor’s ranked interests from previous content interactions.

Your weekly updates

This recommendation algorithm will show visitors the most recent content published from their known interests, which is usually those content categories they have had the most interactions with.

Most read/commented/liked content

This recommendation shows the overall most popular content on the site.

Build Workflow and Integrate Seamlessly Into the Entire Visitor Journey

You can use built-in wishlists to let visitors save recommended products to a Personyze hosted wishlist, and then show it later on their cart page, or send it in a reminder email. Use Personyze’s smart forms to ask visitors to save their preferred sizes, or to send them a reminder of their cart content. Trigger recommendations right after a product is added to cart, with a list of items bought together. Leverage your customer expertise to fine-tune recommendations

Embed Recommendations on Your Website

Personyze can present AI generated product or content recommendations on the site, using simple widgets embedded anywhere on your website, as well as in emails or apps.

Add product recommendations to your existing email

Integrate recommendations with your existing email provider and campaigns in seconds, by simply adding a code snippet into your email templates.

Send email drips with product/content recommendations

Send personalized email drips with product/content recommendations, targeted content, and promotions directly from Personyze.

Recommendations on your Mobile App / 3RD Party Application

Add recommendations and targeted promotions to apps built on iOS and Android.

You can also use  JSON API to run a URL with the user’s CRM ID or email, and get back a list of recommendations for them.

Easy to Use, Integrates Into Your Site in Minutes.

Personyze has a crawler to map and extract data from your site, and support for all types of feeds, including SFTP. The contextual engine will map content interests and topics, relationships between content and products, and more. Step-by-step wizards will guide you through the process of creating recommendations, and industry best practice responsive templates make the process even easier.

Works On Any Site

Whatever CMS or ecommerce platform you may be using, Personyze can simply plug into the back-end and completely personalize every aspect of your digital experience.

Easy Integration of Your Data for Products & Users

Upload a file with your product list or CRM user data, or set a dynamic feed which can be synchronized automatically. Connect your CRM solution using out-of-the-box integration, or our API.

Industry Best Practice Templates

Personyze includes over 50 recommendation algorithms that are optimal for home page, cart page, category page, or emails, and fully customizable design templates.

Campaign Performance Dashboard

Get a comprehensive campaign performance view, with metrics such as impressions, click through rate, bounce rate, conversion rate, recommendation revenue, time it took to buy from the first click, etc. Filter down to see detailed statistics by recommendation algorithms, list of products or content, and various user data parameters like demographic and location.

By default, Personyze reports campaign performance in real-time to Google Analytics.

Get a Head Start by Uploading Past Transactions

Achieving maximum relevance takes time and data, but by uploading your past transactions, you can give the recommendation engine a head start.

With Personyze, our teams around the globe can now deliver new targeted promotions and messages within hours instead of weeks. Moreover, our local marketing teams around the world are empowered to manage their own marketing campaigns without the involvement of our core development team!

Trey Ogier
Trey Ogier

We use Personzye for clients from the financial industry to deliver a personalized experience with content and calls to action which are aligned with visitors’ interest and location. The managed service team was very helpful in the implementation with some of our more complex use cases.

Kate Kotzea, Director of Marketing Technology at Click Rain
Kate Kotzea, Director of Marketing Technology at Click Rain

Leverage the Power of

An AI Powered Recommendation & Personalization Engine

Imagine going to a store where the front shelves are stocked only with products that you like, or reading a newspaper where the stories you’re interested in move to the front page. This isn’t possible in the brick-and-mortar or print world, but with our powerful recommendations, this is easy to set up on your website.

E-Commerce Recommendations

E-Commerce Recommendations
See how Boomdeal uses interest-based product recommendations to create a personalized experience in their online store.

Content Recommendation

Content Recommendation
See how Global News Today personalizes their home page for a visitor’s known interests.

Recommendation for Online Booking site

Recommendation for Online Booking site
A visitor’s interest in Dubai and luxury travel is used by Personyze to serve targeted content on this airline site.