Perzonalization – The AI Powered Personalization Engine for WooCommerce

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About Perzonalization – The AI Powered Personalization Engine for WooCommerce

Personalized product recommendations on web and emails. Boosts sales by 15%. Usage based pricing with no upfront costs.

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updated: 1 year ago
since: 8 years ago
author: Perzonalization

Description

Perzonalization’s state of the art algorithm is now ready for use by the WooCommerce stores.

Download Perzonalization now and start increasing your conversion rates by providing a personalized shopping experience for your shoppers.

  • Real time and personalized recommendations for a sales boost up to 15%
  • Just like a good-old friend’s advice
  • One click set-up with a 14 day free trial

With the help of more than 5 billion pages we have personalized so far, we have learned that understanding the visitor is the key in personalizing an online store.

That is why we’re happy to say that we’re not a ‘yet another recommendation engine’. We not only analyse behaviours around products but also the visitor’s individual preferences and similar users’ preferences.

  • We track and micro-segment your visitors in real time.
  • We recommend each visitor the right content, at the right moment.
  • We offer a consistent experience across web and mobile.
  • We match visitors with similar tastes to come up with recommendations similar to a good-old friend’s advice.

What’s in it for you if you use Perzonalization?

  • Boost sales
  • Sell more products
  • Increase customer loyalty
  • Help visitors find the right products

How do you set-up and use Perzonalization?

It only takes 3 clicks to install the plugin and then you step into our world of automated recommendations! No need to insert any codes or play with the styling of the plugin. Don’t forget to check out our WooCommerce tutorials for further details.

What are the main solutions of Perzonalization?

Product Recommendations on Web

We give you the chance to display popular products, products viewed by similar shoppers and recent products to your shoppers. You may decide where these recommendations will appear on your pages. You may set recommendations to be shown on the below pages;
* Product page
* Cart page
* Collection/Category page
* Home page
* Search page

You may also choose the type of logic to use on a recommendation block;
* Related products from like-minded shoppers
* Popular products
* Recently viewed products
* Discounted products
* New arrivals
* Frequently bought together products
* Cross-sell
* Upsell
* Product reminder
* Category reminder

Product Recommendations on E-mails

Sending e-mails to your users not only ensures repeat purchases but also creates loyalty. With the Perzonalization app, you can now seamlessly deliver personalized recommendations on emails by integrating to your existing templates with a simple copy & paste. You may send emails via any provider. The set of recommendations are formed not when the e-mail is sent but when the e-mail is actually opened by the user. By this way the results of the real time analysis form the ground for the products recommended.

Automated E-mails

  • Cart Reminders: 68% of your shopping carts are abandoned by your visitors. The time has come for you to win back those customers! We automatically send cart reminder e-mails to your shoppers. These e-mails do not only include the product left in the cart but also display personalized related products for you to show other options.

  • Product Reminders: Some of your visitors browse through product pages – never adding any items on their carts. We help you win those customers! We automatically send a product reminder e-mail including the viewed products along with personalized related products.

  • Category Reminders: Online shopping is a great channel for window shopping. We know that browsing through the category pages, looking at the product images and prices is an entertainment opportunity for a lot of online shoppers. As an online merchant, these window shoppers mean a great deal in terms of lost sales. We can help you with that! We automatically send category reminder e-mails to your shoppers. With our AI powered personalisation algorithms, we predict the products from the browsed category which that person is likely to buy and display those items in the form of product recommendations.

  • No Visit: We send reminder emails to inactive customers along with product recommendations and upsells asking them to come back. You can decide on the length of the inactivity period.

  • No Purchase: Keeping your customers active is our job! This is why we send reminder emails to customers a few days after their last purchase to ensure that they re-visit your online store and make another purchase. You are free to decide when the emails will be sent.

Customising recommendations

If you feel like you need greater control over recommendations, you may create custom recommendations to maximise the relevancy for your shoppers. You can place these custom recommendations on product, basket, filter, home, search and sales pages.

Playing with The Design

We know that the look and feel of your website is very important. That’s why we give you a chance to tweak the design of the recommendations area. You are free to choose the number of products to display, play with the colours pr choose a title like “you may also like” or “related products”. You may find all of these options and more under the design settings.

Performance Tracking

You can track the performance of Perzonalization for all channels and recommendations, in real-time. Whether it be Perzonalization’s contribution to your store or conversion of recommended products, our real time dashboard helps you review how much value Perzonalization is adding to your business.

Pricing

After your free trial, you pay us what you use. Monthly fees start from as little as $9.99 with no upfront costs. Your monthly fee is calculated based on the number of times our recommendation blocks are generated. Please visit our pricing page for details.

Support

We’ll be happy to answer your questions and get your comments. When needed, please send a message to our support team ([email protected]). We’ll be responding during our business hours which are Monday – Friday : 9am – 7pm (GMT+3).

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