How to Analyze Matched Products Across Amazon and Shopify
Overview
When both Amazon and Shopify stores are connected and selected, EVA allows you to analyze matched products as a single unified entity.
These matched products are represented using the Eva Product ID, which combines data from different sales channels into one view. This means that instead of analyzing the same product separately in Amazon and Shopify, you can evaluate its total performance across both channels.
This workflow is especially useful when you want to:
- understand overall product performance across platforms
- compare products using combined metrics
- avoid fragmented analysis across different sales channels
Important:
This functionality is only available in the Trends Overview tab.
Step 1: Select store context and sales channels
At the top of the page, define the context of your analysis:
- Seller / Vendor toggle This determines the data model you are working with. Select the appropriate mode depending on your account type.
- Store selector (e.g. “All Stores – 2 of 2 selected”) This controls which connected stores are included in the analysis. You can include or exclude stores from this dropdown.
- Channel selection (Amazon + Shopify icons) Select both Amazon and Shopify.
When both channels are selected:
- EVA combines product data across these sources
- matched products become available under a single Eva Product ID
If only one channel is selected, products will appear separately and this unified view will not be available.
Step 2: Open the Trends Overview tab
Navigate to the Trends Overview tab from the Analytics page.
This tab is required because:
- it operates on the unified product dataset
- it allows cross-channel product analysis
Other tabs:
- General Overview → focuses on overall business performance
- Advertising Overview → focuses on campaign-level performance
They do not support product-level matching.
Step 3: Set time window and date range
Before analyzing data, configure the time context:
- Time grouping (Daily / Weekly / Monthly) This determines how data is aggregated over time in both the graph and table.
- Date range selector Defines the exact period included in the analysis.
These settings affect:
- performance cards
- graph trends
- product table results
Make sure your time settings are correct before drawing conclusions.
Step 4: Use search and filters to define your dataset
Use the controls below the tabs to narrow down your dataset:
- Search bar
You can search using multiple identifiers:
- Eva Product ID
- Shopify product titles
- Variant ID / SKU
- Amazon product title
- ASIN
If a product is matched, different identifiers will point to the same unified product.
- Add filter
Apply filters to refine the product list based on:
- performance metrics
- product attributes
- traffic or sales conditions
Filtering ensures that both the graph and the product table reflect the same scoped dataset.
Step 5: Review performance in Trends Overview
The Trends Overview section shows combined performance across selected channels.
Performance cards
- Display key metrics such as Sales and Profit
- Show current values and change compared to the previous period
- Each card represents a metric included in the graph
Graph view
- Displays how selected metrics change over time
- X-axis → time (based on selected grouping)
- Y-axis → metric values
- Multiple metrics (e.g. Sales and Profit) can be displayed together
Since both Amazon and Shopify are selected:
- all values reflect combined performance across channels
- trends represent the product’s total behavior, not channel-specific results
Manage metric
- Allows you to control which metrics appear in the cards and graph
- You can customize the dataset depending on your analysis goal
Step 6: Analyze matched products in the
Scroll down to the Products section.
This section shows the product-level breakdown of the same dataset used in the graph.
Store Goals (top banner)
- This section allows applying advertising goals across products in the selected store
- It provides a shortcut for setting consistent targets across the dataset
View modes
- Cards view → visual overview of products
- Table view → detailed comparison (default and recommended for analysis)
Product table structure
Each row represents a matched product, identified by:
- Product column Displays product title and basic details
- Eva Product ID Represents the unified product created from matched Amazon and Shopify listings
- Metrics (e.g. Sessions) Show performance values and their change over time
Since both channels are selected:
- each row reflects combined performance across channels
- this is not limited to a single marketplace
Product-level actions
Inside each product row, you can:
- View ASINs/Variants Opens the underlying channel-specific components of the product
- View Days Allows time-based breakdown for that specific product
Step 7: Select and compare products
You can select products using the checkbox on the left side of each row.
When selections are made:
- a selection bar appears (e.g. “2 selected”)
- the Compare option becomes available
Click Compare to:
- analyze two products side by side
- evaluate differences using the same unified metrics
This comparison is based on the combined dataset, not individual channels.
Step 8: Use table controls for deeper analysis
Above the table, you will find additional controls:
- Export Downloads the current dataset based on your configuration
- Update Product Cost Opens the cost management workflow (affects profit calculations)
- Columns Allows you to customize which metrics are visible in the table
These controls help extend analysis beyond the default view.
Important Notes
- Both Amazon and Shopify must be selected to enable matched product analysis
- Products must be mapped in the Catalog to appear under a single Eva Product ID
- This functionality is only available in the Trends Overview tab
- If products are not matched, they will appear as separate entries
- Selecting a single store or channel will disable the unified view