Imagine going to a store where the shelves are stocked only with products that you like, or reading a newspaper where the stories you’re interested in move to the front of the 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.
Personyze recommendations engine begins with the data available when the user first lands, and then constantly improves as it learns about the visitor from their interactions with the site. Everything that Personyze knows about the visitor can be incorporated into customizable algorithms, combining user data with crowd wisdom to provide relevant recommendations that improve conversion and engagement.
The interface for managing your recommendations is simple and doesn’t require coding knowledge or IT resources. All design changes and customizations are accomplished using our easy, intuitive interface.
Integrate with Ease: Integrates with Google Product Feed, RSS, and other methods such as synchronized data sheets, using a point-and-click interface to set the look and feel of the widget. If that’s not enough, you can use our personalization experts to set it up for you.
Be Uncannily Accurate: Personyze leverages information like past visitor interactions with the site, content read, videos watched, items in cart, items on wishlist, frequency of liking and commenting, preferences of users with similar interests or demographics, general tendencies of the user persona and CRM specifics (if available and uploaded) to make recommendations that are highly relevant.
Be Flexible: Fine-tune settings and logic manually to improve the dynamic suggestions. Embed recommendation boxes on any page, or have them as exit intent pop-ups, or re-marketing emails. Use a unique algorithm for each type of recommendation you choose, such as cross-sales, up-sales, view again, buy again, general recommendations for your home page, showing cheaper options, etc.
Ongoing Optimization: Personyze is always getting more data about your visitors, and learning what to show them with the recommendations you create in our system. Additionally, continual feedback about the performance and engagement users have with them helps you to learn, continually optimize your settings, and always know exactly how your recommendations are performing according to key metrics like conversion rate, click goals, and any custom metrics you choose.
Integration with Other Systems: Data from other systems including Facebook and your CRM can be used to enhance and filter any recommendations, to show similar content or products based on demographics, or any custom segmentation. You can also trigger emails and business logic in other external systems based on interactions with the recommendations, and send detailed data to third-party analytics providers such as Google Analytics.
Remarketing Recommendations: Embed recommendations in your re-marketing emails with multiple algorithms such as items left in cart, items similar to those left in cart, view it again, buy it again, cross sales, and more.
Personyze recommendations can be up and running in minutes. The process of integrating Personyze with your site is fast, easy, and requires no technical knowledge or commitment, and if that’s not enough, just ask us to set it up for you!
Product Recommendations on E-commerce Website: Personyze has a variety of algorithms for any need you may have, your recommendation widgets can show the most bought or viewed items based on visitor interest, what was most bought together based on product currently viewed, what is most bought together with an item just bought, on a thank you page for cross-sales. There are more algorithms for accessories for an item you bought, new stock for item you bought that typically is refilled, such as makeup, coffee, printer paper, and other household items. You can also include these and more in your re-marketing emails, such as items similar to what you left in cart.
Content Recommendations: Our powerful content recommendations can show the most popular content based on visitor’s demographic, most read content based on category in which visitor has shown interest, what to read next after this article, and people who read this also read this. You can also show new content from the last time you visited the site, new content just for you based on most recent interest, and new content from your favorite author or reporter. All of these recommendations can be shown in widgets on any page or group of pages on your site, or in your marketing emails.
Product Recommendations in Re-Marketing Emails: Once your product catalogue is integrated with our system, Personyze can automatically send re-marketing emails containing recommendations based on abandoned carts. Other Re-marketing recommendations might include re-stocking for products you should buy again like makeup, coffee and other household items. They can also show things on clearance, accessories to items recently bought such as a new mouse for a computer, or a case for your new tablet.
Product Recommendations On Video-Based Sites or Vlogs: Interest widgets take note of categories that account for the maximum interactions (shares, likes, comments), videos previously viewed, and most watched sections to dynamically recommend videos that make sense, given the past history of the visitor. Recommendations can be based on actors the visitor likes, their most-watched genres, combined with what others with similar interests like to watch, most-watched movie from each genre, and also what others of their same gender, age, and other demographics are interested in.
Recommendations by Personyze can only improve the user experience and conversion on your website. Who doesn’t like to be shown what they’re interested in seeing? Increased engagement and conversion is basically guaranteed, and for the minor effort you invest uploading your products catalog and creating your settings, the returns can be enormous. Market research has shown that:
12% of worldwide online revenue comes from recommendations.
Conversion rates of those who click on recommendations are over five times higher than those who didn’t.
45% of online shoppers are more likely to shop where personalization engines have provided recommendations
Personyze allows you to dynamically recommend products, videos and content from pre-loaded repositories, driving visitors to buy, like, share, comment and engage like never before.
Personyze recommendations engine is a hybrid system, which combines simple filtering based on individual user interests and demographics with “crowd wisdom” (collaborative filtering), which includes what other users with similar interests like, or what is currently most popular, etc. This gives you the maximum variety for recommendation types you want to use on any given page.
Many types of algorithms are available, including those which show what users with similar interests or demographics viewed or purchased, what the user is most likely to be interested in based on on-site behavior and purchases, what is most popular this week, what items were purchased with any given item, and many more.
Personyze personalization engine operates with an easy-to-use dashboard interface, which doesn’t require IT involvement. Made to be accessible to marketers and other non-technical professionals, if you can describe it with words, you can do it with Personyze.
Our cloud-based, SaaS personalization solution has been on the market for 8 years, and has continually evolved and upgraded to be more intuitive, more effective, and more comprehensive. Personyze is your total personalization solution.
With the recommendations widget creator, it’s easy to create exactly the look and feel you want your recommendations to have, to match your site. All templates are responsive by default and completely customizable.
Easily set Personyze personalization to monitor user interactions, to stay up to date with customer interests for data-driven recommendations.
Set exactly what types of algorithms you want to use for the different widgets you want on different pages. Using the simulator, in most cases with no IT involvement, choose the algorithms you want for each page. On the Home Page, you can show recommendations based on most popular products or content of the week combined with visitor interests, while on product pages you can show what other users viewed who also viewed this product, and on the cart page, show what other users bought together with this product.
At Personyze, we are happy to show you our comprehensive Recommendation Engine solution, and spending quality time consulting with potential clients about how their specific needs could be met is just another part of our daily activity.
We also offer a Free Trial with no commitment, in which the first 5,000 page views of your personalized site are on us. That’s because we want to give you a chance to get a feel for our dashboard interface, and to see with your own eyes what Personyze can do for your conversion success.
To start your Recommendations campaigns with Personyze recommendations today, schedule a free demo with the Personyze Success Team, and let us help you find the success you’re looking for!