Ecommerce Personalization

As a comprehensive personalization engine, Personyze includes every tool you need for ecommerce personalization across website, emails, and apps using the latest technology. The result is more return customers, increased revenue, and larger cart sizes at checkout.

Ecommerce personalization provides visitors with unique experiences tailored to their needs and desires, rather than a static, broadly focused experience.

website personalization

Targeting based on a 360° customer view

Target personalized content, site messages, and emails, based on multiple data sources like site behavior, demographics, location, CRM data, referral, weather, social profile, cart transactions, and more.

Personalizing Across Site, Email, & Apps

Easily personalize the entire visitor journey with optimized page content, targeted promotions with dynamic behaviors, product/content recommendations, personalized remarketing emails, and recommendations embedded in your native app.

Harness Machine Learning Algorithms

Recommend products your visitors will want to buy and content they love to read, by leveraging multiple AI algorithms, crowd wisdom, and unique visitor characteristics and interests, for a highly personal experience.

Integrate Your Data and Put It to Work

Synchronize your data automatically, or upload your user email lists, CRM data, and product catalog. Connect your CRM solution using easy integration, webhooks, and our robust API.

Ecommerce Personalization via Recommendations

Personyze recommendation engine includes over 50 algorithms for use across websites, emails, and apps, ranging from simple but effective algorithms like “View It Again” to highly complex machine learning recommendations. All recommendations are responsive and can be displayed as popups, embedded into pages, embedded in emails or apps, with any HTML/CSS design you like.

With Personyze’s variety of tools, you can create an automated set of personalized marketing assets which will accelerate your customer along your funnel, extend your readers’ engagement with your content, raise your conversion rates, and increase your digital marketing ROI. From personalized smart popups, banners, and forms, to automated email drips with AI generated recommendations that can be triggered from site behaviors, Personyze puts every tool you need into your hands. 

Personyze provides 3 primary ways to address cart abandonment using personalization technology:

  1. By creating a more engaging and personalized website experience, visitors are less likely to bounce in the first place.
  2. Using exit popups, you can re-capture visitors’ interest before they bounce. 
  3. With cart abandonment email drips, you can use our powerful recommendation algorithms to regain lost sales. 

A/B testing is a built-in option for every single Personyze campaign, so that you can always rotate out different content and strategies between users within a target segment, to ensure you’re taking the optimal approach using empirical methods. Includes various rotation methods, and control groups.

Deliver personalized on-site messaging with impeccable timing. Use smart behavioral triggers,  to trigger the campaign when the visitor is most likely to engage. Promotions can be in the form of banners embedded into the page, popups on various parts of the page and with various animations, top/bottom bars, forms, timers, or sliders. All of these pieces of personalized content can be completely customized, can include user variables like visitor name or company name, and are responsive by default. 

Personyze allows you to create landing pages that change dynamically for individual customer segments, so that you no longer have to create multiple landing pages, but instead can simply create one landing page that changes in look, feel, and information for each customer segment, depending on their source/referrer, or other data attributes. 

Personyze’s powerful recommendation engine allows you to show your visitors what they are most interested in seeing, based on over 50 algorithms, which can be displayed anywhere on your site, with completely customized widgets to match your branding, embedded with no coding involved. 

Recommendation algorithms exist for a wide variety of purposes, from very general recommendations for your home page, to related products recommendations for product or cart pages, to those that are optimized for emails or apps. 

Grow your email list with targeted calls-to-action and smart forms to collect emails and leads on the site. Set auto responder sequences, and use out-of-the-box integration to push form data to your CRM solution.

With our AI generated recommendations and customer segmentation, you can send automated, personalized, and targeted emails which yield higher open rates, engagement, and conversions.

Using our embed code, you can add our recommendations to your existing outgoing emails. You can even use web-hooks to trigger them based on behaviors. 

Targeting is one of the primary functionalities of Personyze, and encompasses any content that is shown specifically to a defined segment, which you determine using our 70+ targeting parameters. Targeting criteria include variables such as location, interactions with other campaigns, weather, behaviors on the site, referrer, CRM variables, and many more. 

Based on the rules you choose, visitors will be shown the content you assign to them in real time, culminating in each visitor having a unique version of your website with various campaign content they see that are relevant specifically to them, creating a highly personalized and engaging experience. 

website personalization made easy

Those who bought this also bought…

A go-to cross-selling algorithm commonly used on product pages, this recommendation shows items that were brought together with a particular product, whether it be the current product the visitor is viewing, or the product now in the cart, the last product added to the cart, recent purchase, all purchases, and more.

Those who viewed this also bought:

Another great cross-selling algorithm, this shows items that were viewed by visitors who viewed the current time during the same session, or by the same user at a later time; this can be based on the current product the visitor is viewing, the product now in the cart, the last product added to the cart, or a product category that the visitor is viewing (a mix of products in that category).

Those who bought from this category also bought:

This algorithm can be used for cross-sales on a product page, or also on product category pages, and shows the items most frequently bought from the category the visitor is currently viewing. 

Cross-selling algorithm enhancements: 

You can use the Personyze recommended option for this algorithm, which is to choose and recommend only items that were bought on the same session or order ID, or bought by the same user. You can also use Personyze’s machine learning cross-selling option, that factors in the likelihood of a user to buy a product, and many other variables besides quantities. 

You can adjust the algorithm with various limitations, such as to not recommend items unless there were 3 transactions where the items were bought together.

To further enhance, you can filter based on the price of the items; usually, you will want to show only items that are 20% less than the current product, to increase the likelihood of showing the accessories of the given product.  You can also explicitly tag accessories, in your product feed. 

You can also import transaction data from your offline channels to have more data to recommend and to jump-start your recommendations when you first add them to the site.

This algorithm displays items that are new in stock since the last visit, with the option to fine-tune for items added to the site in the last 7 days, before the last visit. You can also show only items that are based on visitor’s interests, or only from categories they have viewed, added to cart, or purchased.

This machine learning based algorithm uses the totality of user data to find patterns in how users of various types interacted with all of the items in your catalog, and creates recommendations based on these insights. This can be an algorithm which creates highly relevant recommendations which a human creator would never know to create, but also requires a large quantity of data to make meaningful insights. For high-traffic sites, it can be a very effective algorithm, and is commonly used on home pages.

Similarly machine-learning based, this alternative will emphasize items that are upsells for the same product, which should be explicitly labeled in your product feed/catalog.

This non-algorithmic recommendation simply shows the visitors most recently or frequently viewed items, and although simple, can result in a lot of sales by reminding visitors of items they want, especially when used on the homepage and landing pages, for when they return to the site, or in remarketing emails. 

There are also many other recommendation algorithms, around 25 total intended for products, and another 25 for content.

For each of the recommendation algorithms, you can add filters such as:

Show only items that the price is greater or lower than X%, or a fixed amount lower, or show only products that are cheaper than the current product on product pages, or mixed items from different categories that the visitor interacted with, based on price, on the home page, for instance.

Based on real-time visitor location

If your product feed contains item locations, you can add a filter that recommends only items that are available within X miles from the visitor’s location. Location is based on IP address by default (accurate to the city level), but you can activate a Personzye action to the more accurate use browser location via Google map data, although this requires the visitor’s consent. 

Location can also be factored into Personyze’s machine learning algorithm to show items that are popular in certain locations, such as countries or regions, to customers who are visiting the site from that region. 


Personyze allows you to show recommendations that highlight discounted items. You can filter to show only items that have X% discount or more, for instance.

Stock Availability 

Show items only if available stock is more or less than X units.

Personal User Data

If your product contains age range or gender tags, you can filter based on either, assuming you set Personyze to have the visitor’s gender and/or age.

Any Current Product Attributes

You can filter based on any attribute you have in your product feed, such as interest, color, brand, or other tags. For instance, you can show items that other visitors viewed, that have the same color or size as the current product the visitor is viewing. 

You can also trigger or limit each of the recommendations to show only:

On the First Page in Session 

Show the most viewed items based on previous behaviors, only on the first page of a return session.

Immediately After the Event 

Show cross-sale items in a popup, for instance, right after the visitor clicks to add to cart.

Show On Exit 

Suggest sending an email to the visitor with their viewed items, only when they try to exit, using an exit popup. 

On Scroll to Bottom

Show recommendations only if the visitor scrolls to the bottom of a given page.


A Recommendation Algorithm for Every Scenario.

Harness AI to show each visitor exactly what they are most likely to be interested in. Choose from algorithms to present recommendations for anonymous visitors on the homepage, buy it together for a product page, algorithms specifically for emails, items that are on sale from the visitor’s wishlist, or “Buy It Again” for perishables. Personyze includes different algorithms for different channels and states of the visitor in their journey, and the flexibility to leverage your customer expertise to build algorithms with the exact blend of data or strategies that perform best for you.

website personalization examples

This algorithm shows visitors what has been most popular in their same city, region, or country.

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

This algorithm shows visitors items or content that are new on site, and can be filtered by  categories they are known to be interested in. 

Personyze gives you the ability to add wishlist functionality to your site, without adding anything to your site’s internal system. Simply embed our “Add to Your Wishlist” button, and Personyze will keep track of each visitor’s list of wishlist items, and these can also be used for remarketing emails or reminder recommendations on the site. 

This algorithm shows visitors items that are up-sells for the item which the visitor is currently viewing. 

This recommendation uses machine learning to find patterns in the crowd data, and shows each visitor what they are most likely to be interested in based on these detected patterns.

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


These algorithms are able to show visitors what they are likely to like, based on their demographic or other variables, judging by what similar visitors interacted with the most. 

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. 

This algorithm shows visitors items which were frequently bought from the same category as the item currently being viewed.

Powerful Targeting Based on 70+ User Attributes.

Start targeting based on 70+ user attributes, including visitors’ real-time and past behavior, demographics, geo-location, CRM data, referral, weather, social data, session dynamic data such as cart value, internal search, form input, custom KPIs, and more. Enhance targeting by integrating your available data from other sources, using API or user feed synchronization, to target based on any data you have in your database.

Targeting users

Leverage the Power of

Website Personalization & Marketing Automation

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 website personalization solution, this is easy to set up on your website.

Implement Personalization Easily on Any Site

Personyze is designed with the non-technical marketer in mind, and every campaign includes a step-by-step wizard to guide you through the process of cross-channel personalization, as well as industry best practice responsive templates. On top of all that, the Personyze Success Team is at your disposal when you need some help, including the option to outsource campaigns to us.

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.

Personyze’s toolbox of landing page widgets includes a WYSIWYG editor to change text, images, buttons, and other page elements visually, a banner and popup manager with various behaviors including trigger on site exit intent, forms, timers, product and content recommendations, and more.

You can set Personyze to automatically shut down the losing campaign from an A/B test, and deploy the winner, after a given amount of time, or based on a certain statistical significance reached in your key metrics. 

Every campaign can be tested and previewed using the Personyze Simulator, which loads a copy of your site in proxy mode on our servers, with the campaign active. The simulator also allows you to change your own data variables, to impersonate different types of users, and see how the campaign will behave with those segments. 

Personyze allows you to upload user data and past transactions data to help you get a head-start on any aspects of your personalization strategy which would otherwise take time to gather data for. 

Personyze content like popups and banners can deploy using smart behavioral triggers, such as display based on exit intent, on idle, on timer, on product added to cart, on cart error, element hover/click, and more. These enable you to trigger campaigns when the visitor is most likely to engage.

Synchronized your data automatically, or upload your user email lists, CRM data, and product catalog. Connect your CRM solution using easy integration, webhooks, and our robust API.

Visually set Personyze to grab/scrape values directly from your site, including form inputs, search, cart
value, and email anywhere they’re displayed on your pages, in cookies, or in URL variables.

Personyze provides webhook functionality, which is another way of pushing data to other sources, or triggering third-party emails based on site behaviors or other targeting variables. 

Get a comprehensive campaign performance view, with metrics such as impressions, click through rate, bounce rate, conversion rate, revenue, and any other custom metric that you set Personyze to track. Drill down by filtering your performance data by location, landing page, gender, recommendations clicked, etc.

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

Use a winning recipe for delivering personalized experiences.

Learn from one of our consultants how automation can do the hard work of personalization for you.