Recommendation Algorithm Types

Personyze recommendations utilize a wide variety of algorithms to show visitors what they’re most likely to be interested in reading or buying, by combining crowd data with tracked individual visitor interests, as well as other user data such as demographic and location.
Here you’ll find a list of our most popular algorithms for content and products across website and emails.

Personyze recommendations and all other Personyze features work on ANY ecommerce/website platform, including WordPress, Shopify, WooCommerce, Magento, and every other platform in existence.

Visitor’s Who Bought These Also Bought These

Those Who Bought from This Category Also Bought

Recommended for You – Product Page

Upsell Recommendations for You

Buy/View it again

New In Stock

Best Sellers & most popular

Recently Added Cross Sell

Cart Abandonment

Low in Stock

Changed Price

Best Sellers & most popular

Visitors Who Read This Also Read These

Visitors Who Read This Also Read These from This Category/Interest

Content Recommended for You

Content Recommended for You Published Since Your Last Visit

Recommendation Algorithms FAQ

If you don’t find your answer here, you can reach us at Personyze Support

What product data is required in my catalog for my recommendations to work properly?

The more data your feed contains, the more rich and dynamic your product recommendations will be. The most essential things to include are:

Product Title
Product Listing URL
Product Image URL
Price
Product Description
Interest Categories for each product (click here to read more about interests)
Product ID (SKU, or similar unique ID)

Some additional product data that are helpful to have are:

Sale Price
Cross-Sale SKUs
Up-Sale SKUs
Brand
Secondary Interest Categories
Seasonal product associations (sells more in the Summer/Winter)
Availability (In Stock or not)

For content, the requirements are fewer, and the key essentials are:

Content Title
Content Page URL
Content Image URL
Author
Content Description
Interest Categories for each article (click here to read more about interests)
Content ID (SKU, or similar unique ID), if applicable

You’ll also need to tell Personyze which column corresponds to which value, in your Personyze product feed.

Will my product/content feed or catalog work?

Yes, if your product inventory or content catalog exists in the form of any type of feed or spreadsheet, it’s possible to integrate it with Personyze. The default formats our system works best with are .CSV, RSS feed, .XLS, and similar.

Can I filter for demographic and other factors?

Can I show different algorithms on the same page?

Yes, you can show as many display widgets with as many designs and algorithms as you want, throughout your site, emails, and apps.

Can my recommendations be targeted, and seen only by certain visitors?

Yes, every recommendation widget can be targeted to individual audience segments, such as only returning visitors for Buy It Again recommendations.

How long will it take for Personyze recommendations to gather enough interaction data to be accurate?

This will depend on a few different factors, including your site traffic, volume of products or content, and whether or not Personyze is starting from scratch. It’s possible to upload past interactions data, such as past ecommerce transactions of users, to give the algorithms a head-start, and if such data is available this is highly advisable. The Personyze team will help you with this process.

Here’s What Our Customers are Saying

Join some of the world’s most successful brands using our website personalization solution to provide optimal digital experiences, since 2008.

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 HomeAway.com

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

With Personyze, we’ve been able to harness customer data to show targeted promotions and dynamic recommendations which have had a measurable increase on our conversion.

Kaan Saraç, CMO at Dugun.com