[Changelog](/changelog) March 25, 2026

# Product items in Data Explorer & Tracks Explorer

Gain product-level visibility in Data Explorer and Tracks Explorer with support for GA4 and 16+ providers for better e-commerce tracking.

Released March 25, 2026 · 2 min read

![](/images/69d7c9b24130ceed412fd84b_product-attributes.avif)

## What's New

You can now **filter, segment, and analyze individual product items** from your e-commerce events directly inside [** Data Explorer**](/docs/data-explorer) and [** Tracks Explorer**](/docs/tracks-explorer).

This works seamlessly across **GA4 and 16+ additional providers**, giving you unprecedented visibility into your product-level data — down to the individual SKU.

### What You Can Do Now

-   Filter by **item category**, ** product name**, or ** specific item values**
-   Segment performance data by size, color, variant, or any custom product attribute
-   Validate that product data is being sent correctly across all your analytics and marketing platforms
-   Compare how the same product is tracked across different providers
-   Identify discrepancies in product-level tracking before they impact your reports

## Why It Matters

E-commerce teams know that the devil is in the details. A single misconfigured product ID, missing category, or incorrect price can throw off your entire attribution model, merchandising reports, and ad campaign ROI.

But until now, debugging product-level tracking meant exporting raw data, writing SQL queries, or manually inspecting hundreds of events. Not anymore.

With product-level filtering in Trackingplan, you can:

-   **Troubleshoot faster**: Instantly find which products aren't tracking correctly
-   **Validate at scale**: Ensure every SKU, category, and variant is sending the right data
-   **Optimize smarter**: Analyze trends by product type, price range, or any attribute that matters to your business
-   **Ship with confidence**: Verify that new product launches are tracked accurately from day one

## How It Works

In both **Data Explorer** and ** Tracks Explorer**, you'll now see a ** Products** filter option when viewing e-commerce events like ** `add_to_cart`**, ** `purchase`**, ** `view_item`**, and more.

Simply:

1.  Select an e-commerce event
2.  Click into the **Products** filter
3.  Choose the item property you want to analyze (e.g., item category, item name, item brand...)
4.  Filter or segment your data instantly

You'll see exactly how each product is being tracked across every connected provider — all in one unified view.

## Use Cases

-   **Validate a product launch**: Confirm that new items are being captured with the correct metadata across GA4, Meta, and your data warehouse
-   **Audit by category**: Filter all "Electronics" products to ensure pricing and availability data is consistent
-   **Debug conversion tracking**: Identify which specific products are missing from purchase events
-   **Monitor variants**: Check that size and color options are being sent as expected

[**Learn more about Trackingplan's attribution →**](/docs/attribution)

On this page

1.  [*01*What's New](#what-s-new)
2.  [*02*Why It Matters](#why-it-matters)
3.  [*03*How It Works](#how-it-works)
4.  [*04*Use Cases](#use-cases)

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Read next

[All releases →](/changelog)

-   [
    
    NewerNewerApr 2, 2026
    
    ### Your Data, Right Where You Need It
    
    We've streamlined the dashboard experience. Event properties no longer expand directly on the main dashboard — instead, they're neatly tucked inside each event, just one click away.
    
    ](/changelog/your-data-right-where-you-need-it)
-   [
    
    OlderOlderMar 12, 2026
    
    ### New Tabs in Tracks Explorer
    
    We've completely redesigned the detail panel in Tracks Explorer with dedicated, organized tabs. Now when you click into any track, all the technical context you need to debug, validate, and investigate is right there — structured exactly the way you need it.
    
    ](/changelog/new-tabs-in-tracks-explorer)

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