Cross-Product Association

Author: Kadence Leung

 Last Update: 2026/04/19

 

Introduction

Standard reports show you how well an individual product sells, but they rarely show how your products interact with each other. The Cross-Product Association model maps the exact web of shopper behavior across your entire catalog.

It reveals what items are frequently bought in the exact same cart, what shoppers buy next, and what products they view right before pulling the trigger on something else.

Use this data to answer:

• Which of my products are constantly purchased together in the exact same order?

• When someone buys my entry-level product, what do they usually come back to buy next?

• Which specific product pages act as stepping stones that lead to a "Subscribe & Save" signup?

 

When to Use This Report

 

Pull this report when you are planning your merchandising, bundling, or cross-selling strategies. It removes the guesswork and tells you exactly how shoppers naturally group your items:

• Build Profitable Bundles: Stop guessing which items belong together. Use hard data to build virtual bundles that shoppers are already naturally creating in their carts.

• Optimize A+ Content & Storefronts: Identify the exact ASINs you should feature in your product comparison charts, A+ cross-sell modules, or storefront collections.

• Refine Retargeting: If you know that people who buy Product A almost always come back a month later to buy Product B, you can set up a highly targeted DSP campaign to speed up that second purchase.

• Map the Subscription Hook: Identify which initial purchases act as the strongest gateway to a long-term Subscribe & Save (SnS) commitment.

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How to Use It

The dashboard is built around a highly interactive, visual relationship map.

1. The Bubble Graph Select a "Root" product in the center of the graph. The colored bubbles branching off it represent all the other products associated with it.

• Bubble Size: Represents the total volume (Number of Associations). A massive bubble means a very strong relationship.

• Hover: Hover over any bubble to see the exact ASIN and the associated sales metrics.

2. The Event Types (The Colors) Use the filters at the top to isolate exactly how the products are related. The colors on the graph correspond to these five specific shopper behaviors:

• Simultaneous Purchase (Orange): The shopper bought both products at the exact same time, in the same cart.

• Subsequent Purchase (Teal): The shopper bought the Root product, and then came back later to buy the Associated product in a separate order.

• View Then Purchase (Pink): The shopper viewed the Root product page, but ultimately purchased the Associated product.

• Purchase Then Subscribe (Yellow): The shopper bought the Root product, and later signed up for a Subscribe & Save (SnS) plan for the Associated product.

• View Then Subscribe (Green): The shopper viewed the Root product page, which led them to sign up for an SnS plan for the Associated product.

 

⚠️ Crucial Note on Subscribe & Save (SnS) Data Without the Amazon Purchase Data Insights (FSI) subscription, standard AMC can only track the act of clicking "Subscribe" and the very first order attached to it (it just counts as a standard +1 purchase event). It cannot track recurring SnS deliveries. If you want to analyze true subscription retention and recurring revenue, we highly recommend upgrading to FSI and using our dedicated Subscribe & Save Analysis model instead.

3. Association Granularity (Parent vs. Child ASINs) By default, the map shows child ASINs. If you have a massive catalog, this can get messy. Click the upload button next to the "Association Granularity" filter to upload a simple Excel mapping file. This allows you to group the bubbles by Parent ASIN, Brand, or custom Product Lines for a much cleaner, high-level strategic view.

 

Strategic Scenarios

Use the table below to set up specific queries based on your merchandising goals:

 

Goal	How to Set Up	What to Look For	Strategic Action
Virtual Bundling	Filter by Simultaneous Purchase (Orange).	Massive bubbles connected to your top-selling Root ASIN.	Create an official "Virtual Bundle" for these two items to own more search real estate and increase Average Order Value (AOV).
Cross-Sell Retargeting	Filter by Subsequent Purchase (Teal).	Strong connections between a hero item and an accessory/consumable.	Launch a DSP retargeting campaign highlighting the accessory, aimed exclusively at recent buyers of the hero item.
Defend Your Traffic	Filter by View Then Purchase (Pink).	A high-traffic, low-converting Root ASIN that constantly feeds sales to another item in your catalog.	Add an A+ Comparison Chart to the high-traffic ASIN's page, directly pointing shoppers to the item they actually want to buy, ensuring they don't bounce to a competitor.

Pro Tips for Large Catalogs & Power Users

• Simplify with Parent ASINs & Custom Categories: If you manage a massive catalog, looking at individual child ASINs can turn your graph into an unreadable mess. We highly recommend using the "Association Granularity" upload feature to group your products by Parent ASIN or custom categories.

• Get Strategic with Your Groupings: The custom category mapping is completely flexible. You don't have to stick to standard product types (like "Shampoo" vs. "Conditioner"). You can group items by price tiers (e.g., "Premium Skincare" vs. "Entry-Level Skincare") or by seasonal lines to see how different pricing strategies and product tiers interact with each other.

• Leverage the Raw Data Export: While the bubble graph is great for visual presentations, power users should utilize the raw data export. Downloading the full dataset gives you the complete association performance across every single ASIN. If you are comfortable in Excel, simply run a pivot table on this raw data to instantly sort, filter, and uncover your highest-volume product pairings.

 

FAQ

Q: In the "View Then Purchase" scenario, what happens if a shopper views multiple products before buying?

A: If a shopper views Product A, then views Product B, and finally buys Product C, the model counts this as two separate associations: A->C and B->C.

 

Q: In the "Subsequent Purchase" scenario, what happens if they buy three things over time?

 A: If a shopper buys A, then buys B, then buys C in three separate orders, the model only links the sequential steps. It counts A->B and B->C. It does not link A->C.

 

Q: How far back does the model look for these relationships?

A: * For Prebuilt Models: When evaluating "Subsequent" or "View Then Purchase" events, the system looks back at the previous 3 months of history from the moment the final purchase happens.

• For Custom Models: The lookback is strictly limited to the custom date range you select.

 

Q: Why does my newly launched product show zero associations?

 A: This is the classic "cold start" problem. A brand new ASIN simply hasn't generated enough traffic or sales volume to establish reliable association patterns yet. Give new products a proper observation period before running this analysis.

 

Q: What is the exact difference between "Purchase Then Subscribe" and "View Then Subscribe"?

A: "Purchase Then Subscribe" means they bought Product A (e.g., a coffee machine), and later signed up for an SnS delivery of Product B (e.g., coffee pods). "View Then Subscribe" means they only looked at Product A, but that page view led them to subscribe to Product B instead.

 

Q: Does this map show me which ads caused these purchases?

A: No. This model focuses entirely on organic shopper behavior and product relationships, regardless of how the user got to the page. If you want to see how specific ad campaigns drive sales, use the Path to Conversion instead.

 

Q: In the "Subsequent Purchase" scenario, what happens if they buy three things over time?

A: If a shopper buys A, then buys B, then buys C in three separate orders, the model only links the sequential steps. It counts A->B and B->C. It does not link A directly to C.

 

Q:How does this model track Subscribe & Save (SnS) orders and exact sales values?

 A: This model treats an initial SnS signup and its very first delivery as a standard purchase event. It flags the initial subscription commitment but cannot track any of the automated deliveries that follow. Because of this limitation—and because of how association rules overlap—you should use this model purely to identify behavioral trends, not as a ledger for exact financial reporting. If you want to track true long-term subscription retention and recurring revenue, we highly recommend upgrading to the Amazon Purchase Data Insights (FSI)subscription and using our dedicated Subscribe & Save Analysis model instead.

 

Glossary

Type	Term	Description
Dimension	ASIN	Refers to the first ASIN in a relationship, which could be one of three types: the initial ASIN in a consecutive purchase sequence, the viewed ASIN before a purchase, or one of the ASINs in a multiple-ASIN order.
	Associated ASIN	Refers to the subsequent ASIN in the relationship, such as the second ASIN in a consecutive purchase, the ASIN purchased after a view, or another ASIN in the same order.
	Association Type	The type of association includes purchasing one after another, purchasing after DPV, or purchasing multiple ASINs in one order.
	Association Granularity	Determine the association between ASIN/Parent ASIN/Product line.
Metrics	Number of associations	Number of associations.
	Associated sales	Sales summation of both associated ASINs.

 

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