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What is Frequently Bought Together?

Frequently Bought Together is an innovative Shopify application aimed at increasing sales through a powerful recommendation engine. It analyzes the complete sales data of your store, including fresh orders and product changes, in real time and without limits on product numbers, order quantities, or website traffic, presenting a formidable solution for Shopify merchants. Users can take advantage of extensive customization options, allowing them to alter text, colors, sizes, and styles to align perfectly with their brand identity. The versatility of the recommendation widget is notable, as it can be displayed on both product and cart pages, presenting a variety of recommendation styles such as automatic, manual, by product category, or by collection. With an easy one-click installation, it integrates smoothly with widely-used themes, making setup a breeze. Store owners have the ability to tailor recommendations for each product, creating distinctive kits, and can also add various discount options to further improve conversion rates. The app ensures that all styles blend seamlessly with your theme, allowing for modifications to any aspect as needed. This comprehensive approach empowers store owners to refine their sales tactics effectively and maximize their revenue potential. Ultimately, the adaptability and user-friendly interface of this app make it an essential tool for any Shopify business looking to enhance its sales strategy.

What is Celebros?

Celebros has created a powerful recommendation engine that comprehensively analyzes your product inventory and suggests pertinent items to improve your customers' shopping experience. Its Cross Sell feature employs advanced merchandising technology, which evaluates real-time search data and user interactions, offering complementary products from your catalog as shoppers move from the landing page to their carts. This groundbreaking tool encourages customers to find and purchase additional items that complement their current choices. By utilizing cutting-edge natural language processing algorithms alongside historical purchase data, the Cross-Sell feature delivers customized product recommendations that can significantly increase your average order value (AOV) and enhance the shopping journey. Furthermore, the system allows you to tailor the recommendations according to your unique merchandising strategies, understanding that various categories, brands, and SKUs necessitate distinct approaches rather than a universal solution. This high degree of personalization not only boosts customer satisfaction but also encourages repeat business by cultivating a more interactive shopping atmosphere. Additionally, it ensures that your marketing efforts are more effective, maximizing the potential for increased sales.

Media

Media

Integrations Supported

Shopify

Integrations Supported

Shopify

API Availability

Has API

API Availability

Has API

Pricing Information

$19.99 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Code Black Belt

Date Founded

2017

Company Location

Spain

Company Website

apps.shopify.com/frequently-bought-together

Company Facts

Organization Name

Celebros

Company Location

United States

Company Website

celebros.com

Categories and Features

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

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