Frequently Bought Together

Increase Average Order Value with
Intelligent Product Bundles.

Customers rarely purchase just one product. Get Recommendor analyzes your store's order history to discover which products are frequently purchased together, automatically creating highly relevant product bundles that encourage larger orders.

Instead of manually creating cross-sells, your store continuously learns from real customer purchasing behavior.

AI-Powered Market Basket Analysis

Every completed order contributes to your store's purchasing patterns. Get Recommendor securely processes aggregated order data to identify products that customers frequently purchase together, building recommendations that continuously improve as more data becomes available.

Unlike manually configured bundles, recommendations improve automatically as your order history grows.

How It Works

A systematic approach to discovering and displaying product relationships.

Order Pattern Analysis

Get Recommendor securely receives aggregated order data from your store and analyzes purchasing relationships using pattern detection algorithms. Strong product associations are transformed into Frequently Bought Together recommendations and delivered through the recommendation API.

Association Strength

Not every co-purchase is meaningful. Get Recommendor calculates the strength of each relationship, prioritizing products that have a high probability of being purchased together while filtering out weak or accidental combinations.

Automatic Bundle Generation

Strong product relationships are converted into Frequently Bought Together recommendations without requiring manual setup. Every product can have its own unique bundle based on actual customer behavior.

Background Processing

Recommendation models are periodically updated on the Get Recommendor platform as new shopping data is received. Your WooCommerce store simply requests the latest recommendations through the API, keeping storefront performance fast.

Customer Psychology

Why It Works

Customers often need complementary products but don't know they exist. Showing relevant add-on products at the right moment makes shopping easier while increasing your average order value.

The customer saves time while your store sells more.

Common Examples

  • Camera → Memory Card → Camera Bag
  • Laptop → Mouse → Laptop Sleeve
  • Running Shoes → Performance Socks
  • Dog Food → Treats → Feeding Bowl
  • Phone → Screen Protector → Case

Built for Performance

Frequently Bought Together recommendations are generated by the Get Recommendor platform and delivered through optimized API requests. The plugin caches responses locally to reduce repeated API calls and improve page load performance.

  • No live database analysis during page loads
  • Optimized for large WooCommerce stores
  • Cached recommendations
  • Automatic recalculation as new orders arrive
  • Fast storefront performance

Where It Appears

Display Frequently Bought Together recommendations anywhere on your store. Ideal locations include:

Product pagesBelow the Add to Cart buttonCart pageCheckout upsellsLanding pagesCustom templates
shortcode
[reco type="fbt" limit="4"]

[reco type="fbt" product_id="123" limit="5"]

Configuration

Customize the engine directly from WooCommerce. No manual bundle creation required.

Maximum bundle size
Minimum purchase frequency
Association strength threshold
Display title
Number of recommendations
Cache duration
Excluded categories
Excluded products
Performance First

Served Instantly.

Get Recommendor performs all recommendation analysis on our AI platform, so your WooCommerce server doesn't need to process large volumes of order data. Lightweight API responses and intelligent local caching keep recommendations fast while minimizing server load.

  • AI-powered pattern detection
  • Optimized API responses
  • Intelligent caching
  • Minimal WooCommerce server load
  • Automatic model updates

Frequently Asked Questions

How many orders are needed?

The more order history available, the more accurate the recommendations become. Stores with even a few hundred completed orders typically begin producing useful results.

Are recommendations updated automatically?

Yes. As your store sends updated shopping data, Get Recommendor periodically refreshes the recommendation model, ensuring Frequently Bought Together suggestions remain accurate.

Can I exclude certain products?

Yes. Individual products and entire categories can be excluded from bundle generation.

Will this slow down my website?

No. All heavy processing happens on our AI platform, and visitors receive recommendations quickly through lightweight API responses and local caching.

Turn Every Order into a
Bigger Order.

Your customers already reveal which products belong together. Get Recommendor transforms that purchasing behavior into intelligent product bundles that increase average order value—automatically.

More products per order. More revenue. Zero manual maintenance.