Performance Max Gets Real Controls: Campaign-Level Negatives, Brand Exclusions, and Channel Reporting Are Now Live
Campaign-level negative keywords, granular brand exclusions, and channel-level reporting have all landed in Performance Max. Here is what actually changed and how to use it.
Performance Max spent its first three years as a machine you could point at a goal but could not meaningfully steer. Advertisers handed over budget, creative, and conversion targets, and the algorithm decided everything else: which queries to enter, which channels to buy, which assets to show, which audiences to prioritise. The feedback loop was thin. You could see aggregate numbers. You could not see much underneath them.
That has changed materially. Campaign-level negative keywords rolled out to all advertisers in January 2025 after a beta announced at DMEXCO the previous September. Brand exclusions became granular enough to apply differently to Search text ads and Shopping in the same release. Channel-level reporting, which once showed only blended totals, now breaks down performance across all seven networks. Asset ratings moved past the coarse Best/Good/Low labels to full per-asset performance metrics. These are not incremental refinements. For anyone running PMax accounts seriously, they represent a qualitative shift in what is actually manageable.
This piece works through each control in turn, covers what is still not in your hands, and closes with a practical audit checklist for existing campaigns.
The Controls That Were Missing and Why Advertisers Pushed Back
The criticism of Performance Max was never really about the automation itself. Most practitioners running at scale were already comfortable with Smart Bidding, which is also a black box in important respects. The problem was that PMax operated at a level of opacity that made it genuinely difficult to diagnose problems, protect brand equity, or trust that budget was going anywhere sensible.
Three complaints dominated the feedback from 2021 through 2024. First: PMax would spend on branded search queries, cannibalising existing brand campaigns at a higher CPA and muddying attribution. Second: there was no way to exclude keywords at campaign level, so any irrelevant or damaging query pattern had to be escalated to an account-level negative list, which affected all campaigns. Third: the only channel-level visibility was inferential, based on asset group performance or third-party tools, rather than reported directly. You were optimising based on output metrics for a system whose inputs you could not examine.
The product team at Google heard this consistently. The January 2025 announcement and the subsequent 2026 updates address all three complaints, though some with more completeness than others.
Campaign-Level Negative Keywords: What Rolled Out and When
Negative keywords for Performance Max arrived in beta at DMEXCO in September 2024. Per Google's announcement on 23 January 2025, they were rolling out to all advertisers within weeks. By 2026, full negative keyword support was confirmed at both campaign and account level, with broad match, phrase match, and exact match negatives all available.
The practical implementation is cleaner than some practitioners expected. The search terms report now includes a one-click workflow to add a term directly as a negative, matching the experience in standard search campaigns. You can build campaign-level negative lists as you would anywhere else in the account, and those lists apply only to the PMax campaign they are attached to, leaving other campaigns unaffected.
Exact match negatives work the same way in PMax as in Search: they block that precise query. Phrase match negatives block queries containing the phrase in that order. Broad match negatives in PMax follow the standard broad negative logic, blocking queries Google considers semantically related to the negative term. Start with exact and phrase negatives based on actual search term data before deploying broad negatives, which can suppress useful queries if added carelessly.
The account-level negative list remains relevant for brand-wide exclusions: competitor terms you never want any campaign entering, regulatory-risk queries, and terms that are irrelevant to your entire product set. Campaign-level negatives handle the more specific exclusions: seasonal terms that do not apply to this campaign, product categories this specific campaign does not cover, and queries with a demonstrated low-conversion pattern that is specific to PMax rather than your search campaigns.
The shift from account-only to campaign-level control also changes the workflow for launching new PMax campaigns alongside existing search campaigns. Previously, the safest approach was to add PMax-specific exclusions at account level and accept the collateral effect on search campaigns. Now you can isolate those exclusions properly.
Brand Exclusions: The Difference Between Search Text Ads and Shopping
The brand exclusion update in January 2025 addressed a specific conflict that was particularly acute for retail advertisers running product feeds. PMax was bidding on branded search queries in two ways simultaneously: triggering Search text ads for someone searching for the brand name, and serving Shopping ads for the same query. For many advertisers, the Shopping exposure was welcome, because branded Shopping queries often close at high ROAS, while the branded Search text ad exposure represented wasteful spend already covered by a dedicated brand campaign.
The old exclusion model did not distinguish between these two surfaces. If you excluded a brand from PMax, you excluded it from both Search text ads and Shopping. The January 2025 update changed this: brand exclusions for retail advertisers with product feeds can now be applied only to Search text ads, leaving Shopping unaffected.
| Surface | Pre-2025 brand exclusion | Post-January 2025 |
|---|---|---|
| Search text ads | Excluded if brand exclusion applied | Excluded if brand exclusion applied |
| Shopping ads | Also excluded, no way to separate | Stays active; exclusion scoped to text ads only |
| Display / YouTube | Excluded if brand exclusion applied | Excluded if brand exclusion applied |
| Combined behaviour | All-or-nothing brand suppression | Granular per ad format within same campaign |
For accounts that were managing this conflict by running separate PMax campaigns split by feed and non-feed, this change removes the need for that workaround in many cases. You can now run a single PMax campaign with a product feed, exclude branded terms from text ads, and retain branded Shopping coverage.
Wordstream noted in January 2026 that brand exclusions had expanded further to cover all Search and Performance Max campaigns, and flagged an important consequence: advertisers who do not actively configure brand exclusions remain exposed to competitor brand terms triggering their PMax ads. The system does not apply exclusions by default. You have to act.
Channel-Level Reporting: Finally Seeing Where Budget Goes
The reporting change is the one that should change day-to-day workflow most immediately for anyone who manages PMax at any scale. PMax now breaks down performance across all seven networks: Search, Shopping, Display, YouTube, Discover, Gmail, and Maps. The report shows impressions, clicks, cost, and conversions per channel.
Per Benly's comparison of PMax 2025 versus 2026 controls, channel reporting moved from "not available" to "complete breakdown by network." That is not a small change. For most accounts, the blended ROAS figure for a PMax campaign conceals a wide range of per-channel efficiency. Search and Shopping tend to perform near or above account targets. Display and Gmail tend to perform significantly below. Discover and YouTube vary considerably by account type. Without channel-level data, diagnosing a declining ROAS figure required inference and testing. With it, you can see which channel is pulling the average down.
Most advertisers running the new 2026 PMax controls are seeing 15 to 25 per cent improved ROAS compared with previous PMax versions, based on Benly's early-adopter data.
Benly, PMax 2026 updates (January and March 2026)
The important caveat is that seeing channel-level data does not mean you can act on it directly. Budget allocation between channels remains under algorithmic control. You cannot instruct PMax to spend 80 per cent on Search and Shopping and reduce Display to 20 per cent. What you can do is use the channel data to set appropriate expectations with clients and stakeholders, to flag campaigns where Display or Gmail is consuming a disproportionate share without converting, and to make an informed case for restructuring or for running separate campaign types where the channel mix is genuinely misaligned with objectives.
Asset-Level Performance Metrics: Beyond Best, Good, Low Ratings
The three-tier asset rating system (Best, Good, Low) was the minimum viable feedback loop. It told you which assets were relatively stronger or weaker, but gave you no volume data, no conversion data, and no way to compare assets across dimensions other than Google's composite score. Pausing a Low-rated asset might improve performance or might remove reach with no discernible effect on conversion rate. You were guessing.
Full asset-level metrics change this. You now see per-asset data on impressions, clicks, conversions, and cost, in addition to the quality rating. This makes PMax creative testing behave more like standard ad testing. You can identify which specific headlines, descriptions, or image assets are driving conversion volume, which are generating clicks without converting, and which are simply not being served at meaningful scale.
The workflow consequence is that asset groups should now be treated as proper creative testing units rather than organisational containers. If an asset group contains fifteen headlines and eight images, the asset-level report tells you which combinations are working. The Best/Good/Low rating still provides a quick directional signal, but it is no longer the only signal.
Search Themes Improvements: Usefulness Indicators and Query Transparency
Search themes (formerly "audience signals for search intent") received a specific improvement in the January 2025 announcement: a usefulness indicator that shows whether the search themes an advertiser has added are driving incremental traffic beyond what PMax would discover on its own.
This is a direct response to one of the more legitimate criticisms of search themes, which is that it was unclear whether they actually changed PMax behaviour or were simply noted and largely ignored. The usefulness indicator surfaces when a search theme is adding coverage the algorithm would not have found independently, versus when it is redundant with PMax's organic query expansion.
In practice, this means you should audit your search themes list with the usefulness indicators active before treating them as a set-and-forget input. Themes marked as non-incremental are not harming the campaign, but they are also not doing the job you added them to do. The more useful audit is identifying which themes are showing as incremental: these are the areas where your explicit guidance is actually changing the traffic mix. They are also the areas where removing that guidance would likely change results.
The search terms report itself also moved from "minimal" visibility to "themed reports with performance metrics," per Benly's 2025-to-2026 comparison. This does not mean you see every individual query, but the aggregated theme-level data is more granular than what was available before, and the connection between themes and actual query patterns is more legible.
What Has Not Changed: Budget Allocation Still Under AI Control
It is worth being direct about the limits of the new controls, because the improvements are real enough that it is tempting to overstate them.
Budget allocation between channels remains fully algorithmic. So does the mix between asset groups within a campaign. Audience targeting, while influenced by signals you provide, is not directly settable. Bidding logic, including how PMax weighs different conversion actions against your target, is determined by the model. These are not gaps that will be filled incrementally. They are structural features of PMax as a product.
The new controls are best understood as reducing waste and improving signal quality at the edges of the campaign, while the core allocation decisions remain with the algorithm. Campaign-level negatives prevent your budget going to queries you know are wrong. Brand exclusions prevent a specific, measurable problem. Channel reporting lets you diagnose and make the case for structural changes. Asset metrics make creative decisions data-driven rather than impression-based.
None of that changes who controls where the money goes. If that is the level of control you need for a particular campaign or client, PMax may still not be the right vehicle, and running dedicated Search, Shopping, and Display campaigns with explicit budget allocation may serve you better.
A Practical Audit Checklist for Existing PMax Campaigns
For anyone with PMax campaigns already running, the arrival of these controls is an audit trigger. The following checklist covers the most important checks in roughly priority order.
Negative keyword hygiene. Pull the search terms report for the last 90 days. Sort by spend descending. Identify queries with zero conversions and more than your average CPC times five in spend. Add the clearly irrelevant ones as exact match negatives at campaign level immediately. Flag the ambiguous ones for investigation before adding.
Brand exclusion configuration. Check whether your brand terms are triggering PMax. If you have a separate brand search campaign, confirm that PMax is not cannibalising it. Configure brand exclusions for Search text ads. If you are a retail advertiser with a product feed, confirm whether you want branded Shopping traffic to continue before applying the exclusion broadly.
Channel-level report review. Pull the channel breakdown for each PMax campaign. Calculate ROAS per channel where conversions are sufficient to be meaningful. Flag any channel consuming more than 15 per cent of spend with a ROAS below your account target. This is not a trigger for immediate action, but it is context you should have before the next budget conversation.
Asset-level audit. Review per-asset metrics, not just the Best/Good/Low ratings. Identify the lowest-performing assets by conversion rate among those with meaningful impression volume. Pause or replace them. Identify the highest-performing assets and check whether they are well represented across asset groups.
Search themes usefulness review. Open the search themes section and note which themes are flagged as non-incremental. This list tells you where your explicit guidance is redundant with the algorithm's natural discovery. Consider consolidating or removing non-incremental themes to keep the list focused on the areas where you are actually adding signal.
Conversion action weighting. Confirm that PMax is optimising for the correct primary conversion action. Check whether secondary actions are weighted appropriately. If your account runs both lead form completions and phone calls, confirm the relative weighting matches your commercial reality.
Frequently Asked Questions
- Do campaign-level negative keywords in PMax work the same way as in standard search campaigns?
- Broadly yes. Exact, phrase, and broad match negatives all behave as they do in search campaigns. The main difference is that PMax also uses its own semantic query expansion, so some practitioners find they need fewer negatives than expected because the bidding model's conversion signal already suppresses many irrelevant queries. Start with exact and phrase negatives based on actual search terms data, and add broad match negatives cautiously.
- If I set brand exclusions on PMax, will that affect my Shopping ads?
- Not if you are a retail advertiser with a product feed using the post-January 2025 exclusion controls. The update allows you to apply brand exclusions to Search text ads only, leaving Shopping ads active for the same brand queries. Check your account to confirm you are on the updated exclusion interface, as rollouts are sometimes staggered.
- Can I use channel reporting to reduce spend on Display or Gmail inside a PMax campaign?
- Not directly. Budget allocation between channels remains under algorithmic control; you cannot set per-channel budgets or caps within a PMax campaign. What you can do is use the channel data to make a structural decision: if Display is consuming a significant share at poor ROAS, that is a case for either restructuring the campaign, reducing the overall PMax budget, or running a separate dedicated Display campaign with explicit targeting instead.
- Are search themes worth maintaining now that PMax has improved its own query expansion?
- Yes, selectively. The usefulness indicator introduced in January 2025 lets you see which themes are actually driving incremental traffic. Those are the ones worth keeping and refining. Themes flagged as non-incremental are redundant with the algorithm's own discovery and can be removed or consolidated. A focused list of themes that are demonstrably adding coverage is more useful than a long list that is mostly noise.
Sources & Further Reading
- Google Ads blog: New Performance Max features, January 2025https://blog.google/products/ads-commerce/new-performance-max-features-2025/
- Benly: Performance Max 2026 updateshttps://benly.ai/learn/google-ads/pmax-2026-updates
- Wordstream: 2025 Google Ads keywords and brand exclusion changeshttps://www.wordstream.com/blog/2025-google-ads-keywords
- Digital Applied: Performance Max 2026 campaign guidehttps://www.digitalapplied.com/blog/google-ads-performance-max-2026-campaign-guide
- Nine AM: Google Ads Performance Max brand exclusionshttps://www.nine.am/insights/google-ads-performance-max-brand-exclusions
