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Description
Related Products | Also Bought | FBT enables you to showcase products that are frequently purchased together with the item currently being viewed, ultimately boosting your shop's sales and enhancing the overall shopping experience. This feature allows for extensive customization within the app, helping you to maximize your average order value through the powerful "frequently bought together" functionality. With a suite of robust features at your disposal, you can effortlessly tailor user experiences and ensure smooth integration with your existing systems. Elevate your store's potential by utilizing our all-encompassing toolkit, which is designed to provide a distinctive experience for both you and your clientele. Our solutions are specifically crafted to meet your needs, allowing you to surpass your expectations. Witness a notable increase in your average order value as customers enjoy the ease of discovering complementary products without hassle. By recommending highly relevant items, you not only facilitate immediate purchases but also save your customers valuable time in their search for the perfect products. This streamlined approach not only enhances customer satisfaction but also fosters loyalty, as shoppers appreciate a more efficient and enjoyable purchasing journey.
Description
Transform your traffic insights into strategic actions by categorizing users based on their browsing habits and behaviors. By grouping similar users, you can effectively identify those who deserve rewards, motivation, or a nudge to return, while also determining which brands, categories, and offers yield the highest conversion rates. Initiate the process by providing a browsing history feature, showcasing products that users have recently viewed or purchased. Additionally, remind them of items left in their cart that they haven't yet bought. Crucially, ensure that this approach encompasses all users, including those who are anonymous or unregistered. Utilizing advanced AI capabilities, you can enhance the shopping experience through personalized recommendations tailored to each shopper’s preferences and intentions. Furthermore, manage multiple recommendation campaigns by experimenting with various algorithms that align with the purchasing journey, tapping into numerous personalization strategies like affinity based on browsing and non-click behaviors. This comprehensive approach not only boosts engagement but also fosters a deeper connection with your customer base.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
Amazon Web Services (AWS)
Big Cartel
Duda
Ecwid
SHOPLINE
Salla
Shopify
Shoplazza
Squarespace
Integrations
AWS Marketplace
Amazon Web Services (AWS)
Big Cartel
Duda
Ecwid
SHOPLINE
Salla
Shopify
Shoplazza
Squarespace
Pricing Details
$18 per month
Free Trial
Free Version
Pricing Details
€49 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Kaktus
Country
United States
Website
kaktusapp.com/product-recommendations
Vendor Details
Company Name
Predixit
Founded
2015
Country
Italy
Website
en.predix.it/come-funziona-il-processo
Product Features
Product Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights