Website Personalization

Personzye’s website personalization engine builds a real-time comprehensive visitor profile from multiple data sources, and then uses a combination of targeting and recommendation algorithms to deliver each visitor a personal cross-channel experience.

Algorithmic personalization

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.

Personalizing across site, email, and 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.

1:1 personalization

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

Easy onboarding of personalization data

Synchronize your CRM data, third-party data, email lists, products and content, all using dynamic feeds, SFTP, webhooks, API, or one-time file uploads.

Leverage your data to personalize across channels.

Personzye’s website personalization solution has a diverse set of tools, including a recommendation and segmentation engine, and a set of sophisticated widgets to craft and tailor personalized content for every touch-point, from landing page to email drip.

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

Set our crawler to build the feed automatically from your site, with a contextual engine to dynamically create interest tags, in cases where you may not have a product or content feed on hand

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

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.

Use a single customer identity — enable you to have a clear view of each customer that unites their data and behavior across all channels into one comprehensive profile.

A Recommendation algorithm for every scenario.

Harness AI to show each visitor exactly what they are most likely to be interested in. Choose from various 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.

Product recommendation algorithms are specifically designed for various pages and scenarios, with a variety of algorithms for the homepage, product pages, cart page, and more.

Products Recommended for you
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.

Frequently bought together products:
Recommend cross-sale items that were bought together often with the product they’re currently viewing, have in their cart, or have recently purchased.

Show those who viewed this product also viewed/bought:
Suggesting the right alternatives, based on similarity or crowd data, will increase the number of products viewed and time spent in a convenient shopping flow.

Those who bought products from this category also bought:
Recommend items frequently bought from other categories by customers who bought from the category they are viewing or just purchased from.

New in stock
Help customers stay up-to-date on items that are new on your shelves, with the option to fine-tune for items added to the site in the last 7 days, before the last visior, or based on visitor’s interests.

View it again/buy it again
Show the items they recently viewed or bought, so they can pick up where they left, or items they bought in the past so they can easily resupply. 

Further, fine-tune your product recommendations and make them more relevant with filters:

  • Discount = greater or less than X%
  • Product feed attributes, such as interest, color, brand, or price.
  • Within X miles of distributions center’s location, offer free shipping
  • Visitor’s gender, age, client type, industry, etc.
  • Less than X units in stock

Content recommendation algorithms are specifically designed for various pages and scenarios, with a variety of algorithms for the homepage, article pages, search page, and more.

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 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.
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.

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.

If you can describe it, you can target it.

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.

By default, Personyze is automatically tracking 70+ user attributes from the user’s session, these include virtually any trackable behavior, location which is derived from IP, weather at that location, and other details like URL variables and cookies.

Current session or cart data
Personyze is able to “grab” or scrape data from any tracked page element on the site, such as a search bar, login field, or current cart value, and show specific targeted content based on this data.

Referral or Traffic sources
Targeted content can also be shown based on the source of the visitor’s referral, such as Google, LinkedIn, or Facebook ad campaigns, or referring websites.

Most popular interests
Show targeted content based on the visitors most visited pages, as well as their ranked interests from product/content interactions.

Geo location and zip code
Our system knows the visitor’s location based on IP intelligence, and therefore also knows the current weather forecast for that location in detail. You can include or exclude visitors from various cities, regions, and countries in your campaigns, as well as based on aspects of their weather such as temperature and precipitation.

Companies & organizations
Personyze is able to reference a registry of IP addresses which are associated with various companies, allowing you to show specific messages to visitors browsing from computers/networks associated with specific companies.

CRM Data
By uploading or synchronizing your CRM data, you can utilize any custom data point you can imagine for targeting, including industry, company name, position in funnel, account type, etc.

System
You can show specific content to visitors with certain system characteristics, such as desktop vs mobile, browser type, or browser language.

Site behavior
You can utilize various behaviors on the site to identify a visitor’s interests and target them with personalized content, including most popular page, whether or not they visited a list of pages, or the time that they entered the site, among many more.

To go beyond the extensive data included with Personyze’s tracking, you can integrate virtually any data you may have, whether from CRM, physical stores, customer care or sales centers, ABM data from third-party vendors, etc. Many popular platforms such as Hubspot and Salesforce have turnkey integrations with Personyze.

API and Integerations

Works on any website, regardless of platform, all channels, and has full rest API available.

Even easier plug-and-play integrations with popular platforms, such as Segment, WordPress, Shopify, Magento, Salesforce, Hubspot, and more.

Personalization Widgets

Add any type of content to your site and emails, with many templates to get you started.

Personyze comes with many responsive templates for popups, sliders, countdowns, banners, recommendation displays, forms, and more.