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Rex: Personalized Upsell logo

Rex: Personalized Upsell

Develop by bkdev

$9.99

/ Month
14 Days Free Trial

Boost sales with personalized upsells and recommendations

Ml-powered widgets
Customizable recommenders
Theme-aware ui
Manual overrides

About Rex: Personalized Upsell

Launched Jun 12, 2023

Categories

Built by bkdev

Email :

[email protected]

Address

189 Bridge Street, APT 5D, New York, NY, 11201, US

Website Privacy policy
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Description

Boost sales with personalized upsell and recommendations

Rex is your one-stop shop for personalized upsell. Add ML-powered widgets to your store and increase customer engagement and sales. Widgets are based on proven recommenders, such as Amazon-style "Frequently bought together" and "Customers who bought also bought." All widgets are customizable, theme-aware, and configurable through the UI, letting you control every aspect of your store.

Rex is your one-stop shop for personalized upsell. Add ML-powered widgets to your store and increase customer engagement and sales. Widgets are based on proven recommenders, such as Amazon-style "Frequently bought together" and "Customers who bought also bought." All widgets are customizable, theme-aware, and configurable through the UI, letting you control every aspect of your store. more
  • Frequently bought together
  • Customers who bought also bought
  • Best sellers & trending now
  • Theme-aware UI, widgets automatically update to your theme
  • Fully configurable, manually override recommendations and customize UI

Pros

  • Boosts sales with personalized upsells and recommendations
  • Utilizes ML-powered widgets to increase customer engagement
  • Widgets are based on proven recommenders like 'Frequently bought together' and 'Customers who bought also bought'
  • Customizable, theme-aware widgets that integrate seamlessly with store themes
  • Fully configurable, allowing manual override of recommendations and customization of the UI
  • Widgets automatically update to match store themes

Cons

  • Potential complexity in configuring the widgets due to numerous customization options
  • Dependency on machine learning models, which may require regular updates to remain effective
  • Possible performance impacts if not optimized for all store types or sizes
  • Users may find limited support or guidance for advanced customization needs

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