Shopify App Comparison 2026
Quick Bundles - Quantity Break
SpurIT Upsell Email Marketing
Which Shopify upsell app increases AOV more? Compare pricing, features, ratings & real merchant reviews for Quick and SpurIT Upsell Email Marketing to find the best fit for your store.
Create product bundles with quantity break and gift offers to improve AOV and conversion rate.
View Full DetailsKey Features
- Apply offers to specific products, collections, or entire store
- Product bundles and gift-with-purchase offers
- Customizable widget colors and styles to match theme
- Percentage, fixed amount, or exact price quantity breaks
- Free plan with all features included
Verdict on Quick
Quick Bundles is a completely free bundle app that covers the basics: product bundles, quantity breaks, and gift offers. With only 1 review it is very new, but zero-risk to try. Best for stores that want a simple, no-cost bundling solution.
Automate upsell emails after purchase to drive repeat sales with minimal marketing effort.
View Full DetailsKey Features
- Automatic upsell emails sent after purchase with relevant product suggestions
- Purchase-based notifications targeting products related to previous orders
- Instant statistics and reports to optimize email campaigns
- Fully customizable email design and templates
- Configurable time intervals between purchase and email delivery
Verdict on SpurIT
SpurIT is one of the oldest Shopify upsell apps (since 2013) and offers completely free post-purchase email upselling. The approach of sending targeted product suggestions after purchase is proven to drive repeat sales. At 4.5 stars with 10 reviews, it is solid if not spectacular. Great as a free addition to any upsell stack.
Frequently Asked Questions
Is Quick Bundles really free?
Yes, all features are included in the free plan with no hidden costs or order limits.
How does post-purchase email upselling work?
After a customer completes an order, the app automatically sends an email featuring products related to their purchase. You can set the timing (2 weeks, 1 month, etc.) to find the optimal delivery window.