Google expands Performance Max product reporting across all networks

Google has expanded its Performance Max product-level reporting to include data from all eligible networks. While this update provides search marketers with a significantly more comprehensive view of how individual products perform across the entire Google Ads ecosystem, it also introduces a temporary reporting challenge: a sudden, one-time spike in key account metrics that does not reflect an actual change in business performance.

Prior to this update, product-level reports in Performance Max (PMax) were highly restricted. Advertisers looking at their product tabs could only see performance metrics driven by Search network activity and Standard Shopping campaigns. Any interactions, impressions, or conversions happening on YouTube, Display, Gmail, or Discover were excluded from these specific product-level breakdowns, despite being a core part of the Performance Max delivery model.

This structural change went into effect on June 15th. Since then, product-level reporting has officially absorbed data from all eligible PMax networks, along with Video campaigns, App campaigns, and Demand Gen campaigns that utilize Google Merchant Center feeds.

The Scope of the Expansion: Which Networks Are Now Included?

To fully understand the scope of this update, it is helpful to look at how Google’s inventory is structured. Performance Max is designed to serve ads across all of Google’s channels from a single campaign. However, the reporting has historically lagged behind the delivery, keeping advertisers in the dark about which specific products were driving results on non-search channels.

With the update, product-level reporting now captures performance data across several distinct placements:

All Performance Max Networks: This includes the Google Display Network, Gmail, Google Maps, and the Discover feed.
Video Campaigns: Specifically, Video Action campaigns and other formats that display product cards beneath or alongside video content on YouTube.
App Campaigns: For mobile application promotion campaigns that pull product feeds directly from Google Merchant Center to target retail shoppers.
Demand Gen Campaigns: Highly visual campaigns designed to capture mid-funnel intent across YouTube (Shorts, In-stream, and Feed), Discover, and Gmail.

Previously, if a shopper clicked on a product ad shown during a YouTube video, the spend and conversion were attributed to the campaign overall, but they would not appear within the product-level reporting dashboard. Now, that transaction is fully attributed to the specific product ID across all of these touchpoints.

The Metric Mirage: Preparing for Sudden Data Spikes

The immediate consequence of this change is a significant, artificial jump in product-level metrics. Following the June 15th rollout, advertisers began noticing immediate increases in product-level metrics, including:

Impressions
Clicks
Cost
Conversions
Conversion Value (Revenue)

It is critical for digital marketers, agency account managers, and in-house search teams to understand that this shift represents a change in reporting scope rather than a sudden improvement in actual campaign results. The campaigns are not suddenly generating more sales; rather, Google is now properly attributing and displaying the sales and clicks that were already occurring on non-search channels directly to the product level.

This reporting change creates what analysts call a “metric mirage.” On paper, individual product performance may appear to have skyrocketed overnight. In reality, the total bottom-line revenue of the Google Ads account remains unchanged by this update—only the allocation of that revenue within the internal product reports has shifted.

The Historical Data Challenge for PPC Analysts

While the long-term benefit of this update is undeniable, it introduces an immediate hurdle for data analysis: the loss of clean historical comparisons.

Because the reporting system did not retroactively apply this new data-gathering methodology to past dates, any comparison between post-June 15th data and pre-June 15th data will be fundamentally flawed. For example, a month-over-month (MoM) report comparing July to May will show an artificial surge in product-level engagement. Similarly, year-over-year (YoY) comparisons for the rest of this year and the first half of next year will require careful explanation, as the historical baseline only accounts for Search network activity.

This data discrepancy complicates automated bidding rules, third-party reporting tools, and custom Looker Studio dashboards that pull product-level data from the Google Ads API. Analysts must account for this sudden structural break in the data to avoid drawing incorrect conclusions about product seasonality, ad fatigue, or creative performance.

Best Practices for Managing the Transition

To successfully navigate this reporting update without misinforming stakeholders or making poor optimization decisions, advertisers should adopt several practical steps:

1. Segment Data with the Network Filter

To isolate the true search-based performance of your products and maintain some level of continuity with historical data, utilize the “Network (with search partners)” segment filter in Google Ads. This allows you to split your product-level data and separate traditional search traffic from the newly integrated video, display, and cross-network placements.

2. Annotate Reporting Dashboards

If you use Google Looker Studio, Power BI, or other reporting platforms, add a clear, prominent annotation on June 15th. This visual marker will remind clients and internal team members that any sudden rise in clicks, impressions, or product-specific spend is a result of Google’s reporting expansion rather than a sudden shift in consumer behavior or campaign optimization.

3. Educate Clients and Stakeholders

Client communication is vital during platform updates of this scale. Advertisers should proactively explain this change to clients. Highlight that while the overall account return on ad spend (ROAS) and conversion volume remain stable, the internal product reports will now show higher volume. Framing this as a victory for data transparency—rather than an unexplained anomaly—builds trust and prevents confusion when monthly reports are delivered.

4. Optimize Assets for Visual Networks

Now that product performance on YouTube, Demand Gen, and the Display Network is clearly visible at the item level, feed optimization is more important than ever. Ensure that your Google Merchant Center feed contains high-quality, visually appealing product images, as these are heavily relied upon in the highly visual non-search networks. Review which products perform best on video and display placements and adjust your asset groups accordingly.

The Broader Context of Google Ads Automation

This update was first brought to light by Google Ads specialist Bia Camargo on LinkedIn. Camargo shared Google’s official notice regarding the change, warning fellow media buyers to prepare their clients for reporting spikes that might easily be misinterpreted as sudden performance gains.

The PPC community has long voiced concerns over the “black box” nature of Performance Max. Since its launch, PMax has automated keyword selection, audience targeting, creative testing, and bidding across all of Google’s inventory. While this automation often delivers excellent conversion volume, it has historically come at the cost of granular reporting. Advertisers have spent years pushing Google for more transparency regarding where their budgets are being spent and which specific assets or products are driving those conversions.

By expanding product-level reporting across all eligible networks, Google is addressing one of the most persistent criticisms of its automated campaigns. Although the transition period requires careful management of historical data, the change ultimately provides advertisers with the granular insights needed to make better inventory, pricing, and creative decisions.