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Side-by-side comparison

Frequently Bought Together vs LimeSpot

Compare Frequently Bought Together and LimeSpot across pricing, features, and fit for your e-commerce stack.

Frequently Bought Together

Frequently Bought Together

Shopify bundle recommendations based on real purchase co-occurrence

Freemium
Visit Frequently Bought Togethernorth_east
VS
LimeSpot

LimeSpot

Product recommendations and upsell bundles for Shopify

Freemium
Visit LimeSpotnorth_east

Quick Comparison

Frequently Bought Together
Frequently Bought Together
LimeSpot
LimeSpot
PricingFreemium
Freemium
Founded2017
2013
Company size11-50
11-50
Verifiedverified
verified

About

Frequently Bought Together

Frequently Bought Together by Revy Apps is one of the most widely installed product recommendation apps in the Shopify App Store. It adds a single widget to product pages showing products that are commonly purchased together by previous customers, derived from actual purchase co-occurrence data rather than manual curation. The bundle can include a combined discount to incentivise the multi-item purchase. For stores with complementary product ranges, the lift in average order value is often measurable within the first week of installation. The app does not require data science setup or a training period in the way enterprise recommendation engines do, because the algorithm only needs a sufficient volume of historical orders to surface meaningful combinations. The trade-off is simplicity: it covers product page bundles well but does not personalise the homepage, cart page, or search results.

LimeSpot

LimeSpot is a product recommendation app built specifically for Shopify with a simpler implementation path than enterprise alternatives like Nosto. It places recommendation widgets on product pages, cart pages, and checkout pages, and learns from purchase co-occurrence data to improve the relevance of suggestions over time. The frequently bought together bundles are particularly useful for increasing average order value on stores with complementary product ranges, such as consumables with accessories or clothing with styling accessories. The personalisation engine is effective for stores with moderate traffic and catalogue depth. At the scale where Nosto and Rebuy become justified, LimeSpot may not provide the same recommendation quality. For stores between $500k and $5M in annual revenue, it often delivers a positive ROI with a straightforward setup process.

Key Features

Frequently Bought Together

shopping_bag

Bundle Recommendation Widget

Displays a frequently bought together section on product pages based on real purchase data. Customers can select which bundle items to include before adding the combination to cart.

discount

Bundle Discount

Apply an automatic discount when a customer purchases the bundle versus individual items. Configurable as a percentage or fixed amount to incentivise the combined purchase.

auto_fix_high

Automatic Product Matching

Uses order history to calculate which products are most commonly purchased together per SKU. No manual rule configuration required to populate the bundle widget.

analytics

Revenue Impact Tracking

Tracks orders and revenue generated through the bundle widget. Shows the contribution of the recommendation feature to total store revenue over configurable date ranges.

LimeSpot

recommend

Smart Recommendation Widgets

Places personalised product recommendation carousels on product pages, cart pages, and the homepage. Learns from purchase and browse data to improve relevance over time.

shopping_bag

Frequently Bought Together

Automatically identifies product pairs that are purchased together based on order history. Displays as a bundle suggestion with a combined add-to-cart action on product pages.

add_shopping_cart

Upsell Pop-Ups

Trigger product upsell or cross-sell offers when a customer adds a product to cart or attempts to exit. Configurable by product, collection, or cart value threshold.

analytics

Recommendation Revenue Tracking

Tracks revenue attributed to recommendation widget interactions across all widget placements. Measures performance by widget type and page to prioritise optimisation.

Screenshots

Frequently Bought Together

Frequently Bought Together screenshot

LimeSpot

LimeSpot screenshot

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