VR: Frequently Bought Together

Develop by VR App Studio

Free plan available

Boost sales with smart product bundles and recommendations. Easy integration.

Easy integration

Smart recommendations

Manual configuration

Bundle sales

Product urgency

About VR: Frequently Bought Together

Launched Mar 20, 2025

Built by VR App Studio

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Description

App suggests products based on previous purchases, allowing sellers to improve the overall purchase

The app helps improve bundle sales by analyzing previous purchases and recommending additional products that complement the main item. You can also manually configure recommendations for specific products. Three great templates and easy customization make it simple to integrate the widget into any store design. The app also enhances customer engagement with smart product recommendations and urgency features.

Creating automatic recommendations based on previous sales.
Buy together, buy with, also bought, add-ons - Frequently bought together
Creating urgency with a countdown timer.
Simple and understandable widget design with adaptability for each store

Pros

Boosts sales through smart product bundles and recommendations.
Incorporates analysis of previous purchases for targeted recommendations.
Allows manual configuration of product recommendations for tailored promotions.
Provides three templates and customizable options for easy integration into store designs.
Enhances customer engagement with smart recommendations and urgency features, such as countdown timers.
Simple, adaptable widget design suitable for various stores.
Encourages bundled purchases with smart incentives.

Cons

Limited to existing templates for customization, which may not suit all store themes.
Relies on accurate purchase data for recommendation accuracy, which may be an issue for new stores without extensive sales history.
Potential for over-recommendation which might overwhelm customers if not appropriately configured.
The effectiveness of urgency features like countdown timers might vary across different customer segments.