In a significant update to its automated advertising ecosystem, Google has officially expanded its product-level reporting for Performance Max (PMax) campaigns. As of June 15, the platform now aggregates data from all eligible networks—not just the Search network—providing a more holistic, albeit initially confusing, view of how individual products contribute to campaign success. While the change is designed to offer advertisers greater transparency into their retail media efforts, it has triggered a widespread, one-time spike in key performance metrics across many accounts. For marketing teams and agencies, this shift necessitates an immediate recalibration of how historical data is interpreted and how client expectations are managed in the coming months. The Core Update: A Wider Lens on Performance Historically, product-level reporting in Google Ads for Performance Max campaigns was notably restricted. Metrics such as cost, impressions, clicks, and conversions were largely siloed, reflecting only the activity generated via the Search network and Standard Shopping campaigns. This created a "blind spot" for advertisers who were using PMax to reach customers across Google’s diverse inventory, including YouTube, Display, Gmail, Discover, and Maps. Under the new reporting framework, Google has eliminated these constraints. Product performance data is now pulled from every network where a product is eligible to appear. This means that if a specific SKU performs exceptionally well on a YouTube video ad or a Discovery placement, that performance is now correctly attributed to the product in the reporting dashboard. Chronology of the Shift The transition occurred quietly on June 15, catching many practitioners off guard. The update was first brought to wider public attention by Google Ads specialist Bia Camargo, who took to LinkedIn to document the discrepancy between pre-update and post-update reporting. Pre-June 15: Product reporting was limited to the Search network and Standard Shopping, leading to a fragmented view of product-level success. June 15: Google implemented the backend update, causing an immediate, platform-wide recalibration of reporting metrics. Post-June 15: Advertisers began observing "artificial" spikes in data, as the new reporting scope captured historical network activity that was previously uncounted at the product level. The timing of this update is critical. As advertisers perform their mid-year reviews and quarterly reporting, many are finding that their year-over-year (YoY) comparisons are being skewed by this change. Supporting Data and the "Measurement Illusion" The primary challenge for media buyers right now is distinguishing between genuine growth and a reporting artifact. Because Google has backfilled the reporting logic, advertisers are seeing a sudden jump in clicks, impressions, and conversion volume associated with specific products. However, it is crucial to note that the actual campaign performance has not changed. The campaigns themselves were already serving on these networks; the update merely changes how the data is surfaced within the Google Ads interface. Understanding the Impact Metric Inflation: Advertisers should expect to see significant percentage increases in total clicks and conversions for product-level reports. The Attribution Gap: While the volume appears higher, the cost-per-acquisition (CPA) or return on ad spend (ROAS) might fluctuate as previously "unattributed" costs are now tied directly to the products that drove them. Historical Incomparability: Data from June 14 and earlier is now effectively incompatible with data from June 15 and later when viewed in the same product-level report. Why This Matters for the Advertising Ecosystem For years, the "black box" nature of Performance Max has been a point of contention between advertisers and Google. By expanding the granularity of product reporting, Google is ostensibly attempting to satisfy demands for more transparency. "This update addresses a long-standing reporting limitation by giving advertisers a more comprehensive view of how products perform across Google’s inventory," note industry experts. By allowing marketers to see exactly which products are moving the needle on YouTube or Display, Google is empowering them to make better decisions regarding feed management and product-level bidding strategies. However, the "cost" of this transparency is a temporary disruption in data continuity. Large-scale retail brands that rely on automated reporting dashboards—such as Looker Studio or custom BI tools—may find that their automated alerts are triggering false positives, as the data appears to "surge" overnight. Strategic Implications: How Advertisers Should Respond In the wake of this update, the industry is advising a cautious approach. Advertisers should not view the post-June 15 data as a sudden performance breakthrough, nor should they panic if their metrics seem to shift dramatically. Recommended Best Practices: Annotate Your Reports: Ensure that all internal dashboards, client reports, and slide decks contain a prominent note regarding the June 15 reporting change. This prevents stakeholders from mistakenly attributing a "growth spurt" to a specific campaign optimization. Segment by Network: Where possible, utilize the "Network" segmentation feature in Google Ads to isolate Search traffic from other placements. This allows for a more "apples-to-apples" comparison against historical data from before the update. Adjust Performance Targets: If your automated bidding strategies or manual benchmarks were based on previous product-level performance, consider re-evaluating these targets. Since the new data includes more traffic sources, your baseline for "average" performance has effectively changed. Communicate Early: For agency professionals, proactive communication is essential. Reach out to clients to explain that this is a platform-wide change initiated by Google and that it represents a change in measurement, not a change in results. The Bigger Picture: Transparency vs. Complexity Google’s decision to unify product-level reporting is a double-edged sword. On one hand, it provides the granularity that advertisers have been clamoring for since the inception of PMax. Being able to see the full funnel impact of a single product SKU is a significant advantage for inventory management and seasonal planning. On the other hand, it highlights the inherent difficulty of managing automated campaigns. As Google continues to push toward "all-in-one" campaign types, the lines between different advertising channels become increasingly blurred. This update is a reminder that in the world of machine learning-driven ads, the definition of a metric can change as quickly as the algorithms themselves. Conclusion The June 15 update is a milestone in the evolution of Google’s retail advertising tools. While the sudden jump in metrics may cause initial confusion, the long-term benefit is a more accurate representation of how products perform across the entire Google ecosystem. Advertisers who embrace this change—by updating their analytical frameworks and managing stakeholder expectations—will be better positioned to leverage the data. Those who ignore the update and treat the "spikes" as genuine growth may find themselves making misinformed decisions about budget allocation and product priority. As the industry moves forward, the key takeaway is clear: in an era of automated advertising, data literacy is just as important as campaign strategy. Understanding not just what the data says, but how it is being collected, is the ultimate competitive advantage for the modern marketer. Search Engine Land is owned by Semrush. We remain committed to providing high-quality coverage of marketing topics. Unless otherwise noted, this page’s content was written by either an employee or a paid contractor of Semrush Inc. About the Author: Anu Adegbola Anu Adegbola has served as the Paid Media Editor of Search Engine Land since 2024. With a career spanning over a decade, she has cultivated a reputation for excellence in digital marketing strategy, automation, and efficiency. Her work focuses on bridging the gap between complex marketing technology and actionable business results. Outside of her editorial responsibilities, Anu is the founder of the prominent PPC networking event, PPC Live, and the host of the weekly "PPC Live The Podcast." She is a globally recognized speaker, having graced the stages of industry-leading conferences including SMX, Friends of Search, brightonSEO, and AdWorld Experience. Her expertise remains a cornerstone of the paid media community, helping professionals navigate the rapidly changing landscape of digital advertising. Post navigation The Future of Commerce: Inside Meta’s Pivot to Autonomous AI Agents Google Overhauls Local Inventory Ads Management: What Advertisers Need to Know Before August 31