Perzonalization AI‑Suggestions
- Pricing
-
Free plan available. Free trial available.
- Highlights
- Works with the latest themes
- Rating
- 4.4 (38)
- Developer
- Perzonalization
Featured images gallery
Increase revenue with AI-powered product recommendations, upsells & cross-sells for your shop
Perzonalization is an AI-powered product recommendation tool designed to increase the revenue of your online store by promoting recommendation blocks, upsells and cross-sells. We use a state-of-the-art AI Predictive Algorithm to drive customers to make smart buying decisions based on their browsing and buying history, in real-time. You can setup your own recommendation blocks based on templates we offer such as Related Products, Discounts, Frequently Bought Together, Automated Emails and more!
- Increase your revenue using AI and recommend the best products to your shoppers
- Remind your customers of incomplete purchases and cart abandonments with emails
- Analytics and insights dashboard helps you optimize your recommendation blocks
- Highlights
- Works with the latest themes
Languages
English
Works with
Magento, PrestaShop, OpenCart, WooCommerceCategories
Pricing
Free Usage Tier
Free
- < 1,000 recommendation views/month
- Unlimited number of personalized recommendation blocks
- Pricing: bit.ly/2UnpUOr
Starter Usage Tier
$9.99 / month
- < 5,000 recommendation views/month
- Unlimited number of personalized recommendation blocks
- Design customization
- Pricing: bit.ly/2UnpUOr
14-day free trial
Basic Usage Tier
$19.99 / month
- < 10,000 recommendation views/month
- Unlimited number of personalized recommendation blocks
- Design customization
- Pricing: bit.ly/2UnpUOr
14-day free trial
Growth Usage Tier
$39.99 / month
- < 30,000 recommendation views/month
- Unlimited number of personalized recommendation blocks
- Design customization
- Pricing: bit.ly/2UnpUOr
14-day free trial
All charges are billed in USD. Recurring and usage-based charges are billed every 30 days. See all pricing options
Reviews (38)
The app is spot on for providing apt recommendations to buyers. The customer service is also on point with fast & effective responses!
Hello Arbaaz,
Thank you for this review, very much appreciated! We enjoy working with you and hope that our collaboration will continue to help your sales grow in the upcoming months.
Best regards
Ilke from Customer Success Team
Highly recommend! Worked well for our site and overall was very pleased with the customer service- the team was quick to reply and provided detailed answers when necessary. The team was also very flexible in implementing custom edits to the product blocks, as well as setting up A/B testing.
I love this app. It helps show off recommended products and I can customize what it shows to my customers. The pricing is very fair, if you don't get much traffic it doesn't cost too much. If your website gets a lot of views then naturally it'll charge more. I always wanted a feature on my website where it suggested products and it does exactly that. The editing program is straight forward and easy to use. If I ever have any questions I know they're very responsive. Thanks for an awesome app! :)
Personalization app has been great so far!! We are able to set different recommendations at various levels of the website to help the customers see more of the products they like. The support team is fast and helpful when you have questions/glitches! I definitely recommend this app for anyone looking to implement a personalized touch to the website.
A great, simple to use app that automatically populates recommendation and related product widgets. The support and communication from the team is excellent. The analytics seem to be great too, so you can see the benefits of the app. My only downside is that it is expensive. We have found from our trial period that we are getting a 2.5x ROI. I am hoping to see that improve over the next few months or we may have to reconsider.
Support
Perzonalization can answer any questions you have about Perzonalization AI‑Suggestions.
Developer
Resources
Launched
March 7, 2016