Recommendations begin with what data is available when the user first lands, and then constantly improve as Personyze learns about the visitor from their interactions with the site. Everything 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 happen without IT assistance from our easy, intuitive Simulator.
Be Uncannily Accurate Leverage 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, 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. The choices and pre-created templates are endless.
Ongoing Optimization With continual feedback about the performance and engagement users have with the recommendations you give, you can 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 metric you choose.
Personyze recommendations can be up and running in minutes, with an easy-to-use simulator interface, continual statistical analytics to monitor visitor interactions with your recommendations, and a variety of widgets to customize their type and appearance. The process of integrating Personyze with your site takes only minutes, and requires no technical knowledge.
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 catalogue 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 is over five times higher than those who didn’t.
45% of online shoppers are more likely to shop where personalized recommendations are provided
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 are 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.
On a news website, if a visitor’s interest patterns show that he is an avid football fan and reads only items and stories that have to do with a specific country–say, the United Kingdom–then upon his subsequent visits, the system will load to the home page news pertaining to the UK, and will focus primarily on football matches, leagues, events and celebrities, instead of showing him a jumble of different links and stories from all over the world. When there is a new article about his team that he hasn’t read yet, an email can even be sent out alerting him of the addition.
On an e-commerce website, the system can keep track of items viewed by a visitor, goods that are added to the shopping cart and abandoned, most bought/viewed and clicked items, seasonal favorites, new arrivals and so on. This data then guides Personyze to display site messages about price drops for products that the visitor has shown prior interest in. You can even send out re-marketing emails based on unprocessed items in the cart, or new products that visitors are likely to buy.
Say a user is interested in iPhones, your Personyze recommendations can show them other offers related to smart phones on the product listing. On the cart page, it can show what items were most often bought with the iPhone they’re purchasing, and after the purchase, recommendations on any page or re-marketing email can include accessories for their new iPhone.
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.
Personyze 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, and completely cusotmizable.
Easily set Personyze 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 today, schedule a free demo with the Personyze Success Team, and let us help you find the success you’re looking for!