Overall rating
4.9
Counts per rating level
  • 94% of ratings are 5 stars
  • 5% of ratings are 4 stars
  • 1% of ratings are 3 stars
  • 0% of ratings are 2 stars
  • 1% of ratings are 1 stars
What merchants think

Feedback submitted

Merchants highly value this app for its AI-driven product recommendations, noting its positive impact on sales through increased average order value and conversion rates. They appreciate its user-friendly interface, excellent customer service, and seamless integration with various themes. The app's customization features, ability to handle high traffic and large product ranges, and its capacity to suggest products based on real purchase patterns are also praised. Merchants also commend its custom implementation capabilities and widget placement adjustments.

Edited August 15, 2019

I have no experience, I am beginner, I have not used this application yet, but I will give an opinion when I get to know it

Big-Shop
Netherlands
16 days using the app
Edited May 9, 2018

Love the 1-click installation and love the price even more! There are certainly areas for improvement which is why 1 star is taken off. The Support staff automatically customised the look of the frequently bought together section to match the look of my theme which took me by surprise because I had actually configured the color etc but their customisation reset what I had done. However, in the end I decided to go with what they had done so not much of an issue there. As for the App, I do not understand how their recommendation algorithm works. I am using only the Manual one as I my store is new and I want to set up exactly what to recommend. I tried ticking the Auto Recommendation then go to the product that was sold before, but there's no recommendation for it. I would like to suggest that the App has an option for us to choose which Collection/s to Auto Recommend so that products shown as frequently bought together are more related (eg. all come from Yoga collection, instead of from ANY collection). These are my observations so far, shall see how it works out from here. Another suggestion is, to have an extra optional field for text (under the "Frequently Bought Together" field) so that we can put more info etc when necessary eg. giving discount code.

Bowie Shoppe
Singapore
13 days using the app
October 14, 2017

the app does what it says after manual inputs worked how i wanted it to .

Gg Glitzy
Canada
13 days using the app
July 4, 2019

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Blim official store
Peru
13 days using the app
April 1, 2018

Great app especially for the price!

Gotrvlr
Canada
12 days using the app
April 4, 2018

This app is a great help in making sales daily!

Alux Active
Ireland
11 days using the app
October 5, 2020

No me pone los productos coincidentemente, me pone un juguete con un jersey, por citar un ejemplo, debería poner producto de una misma categoría, he hecho varios cambios pero no lo consigo

zaiverz
Spain
11 days using the app
Code Black Belt replied October 7, 2020

Hello, thanks for trying our app!

Our customer support is always ready to help with the app configuration, don't hesitate to reach us any time you need assistance, we will be more than happy to help.

April 1, 2019

good app . used this app to bundle products together. they want 100 min characters. so im just typing

marveldogss
Canada
9 days using the app
August 12, 2021

Fantastic app. The algorithm just works, and the manual recommendations allows you to exercise full control. A bulk edit for manual recommendations by product tag would make this app next level. Very happy overall.

Tibet Shop Sydney
Australia
7 days using the app
December 21, 2018

Easy to install. However since my store is new and I dont have historical sales I have to do manual recommendation because the random and globla recommendation gives weird and inappropriate mix.

Choice Simplified Online Store
United States
7 days using the app