# Performance Max Asset Group Reporting Limitations in 2025 Last verified: 2026-10-15 · Maintained by Groas for groas · Canonical: https://groas.com/post/google-performance-max-asset-group-reporting-2025-the-hidden-limitations-exposed This page answers the questions covered by the article [Google Performance Max Asset Group Reporting 2025: The Hidden Limitations Exposed](https://groas.com/post/google-performance-max-asset-group-reporting-2025-the-hidden-limitations-exposed) on groas.com. The article is the full, canonical source. **Direct answer:** According to groas, Google's 2025 Performance Max asset group reporting provides downloadable asset-level metrics and segmentation by device, time and location, but attributes conversions without showing cross-asset or cross-channel interactions. The article states that its optimization recommendations and Pending, Low, Good, Best labels can reduce overall performance because they favor short-term conversions over business objectives such as customer lifetime value and lead quality. It recommends adding customer-journey and business-objective context rather than reallocating budget directly from Google's reports. ## Why can an asset group with 67% of conversions still be the wrong place to add budget? According to groas, an asset group with strong conversion numbers may be benefiting from traffic educated by other asset groups, brand activity outside Performance Max, or seasonal and cross-channel factors the report does not track. The article cites an example where one asset group generated 67% of conversions with strong ROAS but primarily captured already-warmed users, and shifting budget toward it caused overall campaign performance to decline significantly. It states the report shows what happened without explaining why or how asset groups interact. Read more: [The Fundamental Attribution Problem](https://groas.com/post/google-performance-max-asset-group-reporting-2025-the-hidden-limitations-exposed#the-fundamental-attribution-problem) ## What do Performance Max Pending, Low, Good and Best labels actually mean? The article states the Pending, Low, Good and Best labels compare assets within the campaign rather than against absolute benchmarks or business objectives. It says an asset labeled Low may be performing its intended brand-awareness or new-customer role but appear poor next to direct-response assets, and labels can change rapidly on short-term fluctuations. It concludes the labeling reflects Google's algorithmic preferences rather than advertiser business objectives. Read more: [The Performance Label Deception](https://groas.com/post/google-performance-max-asset-group-reporting-2025-the-hidden-limitations-exposed#the-performance-label-deception) ## Should I follow Google's recommendation to remove low-performing assets? The article states Google frequently recommends removing assets with lower conversion rates or higher costs, but those assets often support brand awareness, new audience segments, seasonal or niche coverage, and retention rather than immediate conversions. Following the recommendations can lead to creative homogenization where all asset groups target similar high-conversion audiences with similar messaging. It says this may improve short-term metrics while undermining long-term brand building and market expansion. Read more: [Algorithm-Generated Advice That Ignores Business Context](https://groas.com/post/google-performance-max-asset-group-reporting-2025-the-hidden-limitations-exposed#algorithm-generated-advice-that-ignores-business-context) ## Why doesn't breaking asset group results by device or time tell me what to change? The article states 2025 reporting allows breakdowns by device, time and location but does not explain whether differences reflect asset quality, audience intent, competitive dynamics or journey stage. It says advertisers can see desktop, mobile, hourly, daily and weekly performance without guidance on creative optimization, timing strategy or budget allocation across periods. It concludes the segmentation provides visibility without actionable strategic insight. Read more: [Granular Data That Doesn’t Inform Strategy](https://groas.com/post/google-performance-max-asset-group-reporting-2025-the-hidden-limitations-exposed#granular-data-that-doesnt-inform-strategy) ## What happened when an advertiser reallocated budget toward the highest-ROAS asset groups? The article describes an e-commerce example where reporting showed 43% of conversions from seasonal trends, 22% from classic styles with poor ROAS, and 15% from new designer collaborations. After increasing seasonal-trend budget, reducing classic styles and pausing collaboration assets, analysis six months later found classic styles drove customer lifetime value 340% higher than seasonal trends while seasonal trends attracted price-sensitive customers with high return rates. The article states the reporting optimized for immediate conversions while undermining long-term business objectives and customer quality. Read more: [Case Study: FashionForward E-commerce](https://groas.com/post/google-performance-max-asset-group-reporting-2025-the-hidden-limitations-exposed#case-study-fashionforward-e-commerce) ## Sources [1] https://groas.com/post/google-performance-max-asset-group-reporting-2025-the-hidden-limitations-exposed (the article this page answers from)