# Performance Max vs Standard Shopping: An Honest Look

> Tower33 gives you an honest breakdown of Performance Max vs Standard Shopping — and a clear framework for deciding which one earns your budget.

**Published:** 2026-10-20 | **Updated:** 2026-11-06 | **Author:** victorsoares
**URL:** https://tower33.com/articles/performance-max-vs-standard-shopping/
**Type:** post

**Categories:** Google Ads

![Performance Max vs Standard Shopping: An Honest Look](https://tower33.com/articles/wp-content/uploads/sites/107/2026/10/1792406395862-9e40c03b4d48-1024x572.webp)

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## Content

*Written by: Anthony Miller, Founder, Tower 33*

## Key Takeaways

- Performance Max trades granular control for reach across Google’s full inventory. Standard Shopping keeps precise product-level bidding and negative keywords but stays on Search and Shopping surfaces.
- Conversion volume is the primary gating factor. Performance Max needs roughly 30–50 monthly conversions to exit its learning phase reliably. Standard Shopping can perform at lower volumes with manual or target-based bidding.
- Margin structure and reporting hygiene determine real profitability. Blended ROAS targets in Performance Max can hide margin erosion, and brand versus non-brand separation is essential before judging either campaign type.
- Running both campaign types together works when you use explicit controls. Brand exclusions, account-level negative lists, product segmentation via custom labels, and feed hygiene prevent cannibalization and attribution overlap.
- Tower33 rebuilds measurement and runs controlled experiments before declaring a winner between Performance Max and Standard Shopping.

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## Performance Max Vs Standard Shopping Campaigns: The Honest Comparison

Performance Max and Standard Shopping behave very differently in practice because they are structurally different in almost every dimension. Here is how they compare, sourced to [Google Ads Help](https://support.google.com/google-ads/answer/10724817).

**Performance Max Vs Standard Shopping Campaigns: Structural Comparison**

- **Placements And Surfaces:** The biggest structural gap is where each campaign runs. Performance Max serves across Search, Shopping, YouTube, Display, Discover, Gmail, and Maps from a single campaign. Standard Shopping serves on Google Search and the Shopping tab only.
- **Bidding Control:** That reach difference drives a bidding gap. Performance Max relies entirely on automated Smart Bidding: Maximize Conversions or Maximize Conversion Value, with optional target CPA or target ROAS. You cannot set manual bids or allocate budget by channel. [Standard Shopping campaigns support Manual CPC, Maximize Clicks, and Target ROAS, with bids adjustable at the product-group level; Enhanced CPC was previously available but has been deprecated for Search and Display campaigns as of the week of March 31, 2025.](https://support.google.com/google-ads/answer/2979071?hl=en)
- **Creative And Asset Requirements:** Performance Max needs asset groups that include headlines, descriptions, images, logos, and videos. Google’s AI mixes and matches those assets across placements. Standard Shopping pulls creative directly from the Merchant Center feed, using product title, image, and price.
- **Reporting Transparency:** Performance Max reports at the campaign and asset-group level. [Channel-level reporting became available in 2025–2026](https://support.google.com/google-ads/answer/10724817), but query-level search term data stays aggregated and trimmed. Standard Shopping provides a full search terms report and impression share by product group.
- **Negative Keyword Capability:** Performance Max supports up to 10,000 campaign-level negative keywords that apply to Search and Shopping inventory. These do not affect Display or YouTube. Standard Shopping supports negative keywords at campaign and ad-group level with full match-type control.
- **Audience And Signal Inputs:** Performance Max accepts audience signals such as Customer Match lists, in-market audiences, and custom segments. These guide where the system starts learning rather than acting as hard targeting rules. Standard Shopping does not use audience targeting in the traditional sense and instead matches based on product feed and query relevance.
- **Conversion-Data Thresholds:** Google recommends at least 15 conversions in the last 30 days for value-based bidding in Performance Max. [Practitioners commonly cite 30–50 meaningful monthly conversions as a working readiness threshold](https://oneppcagency.co.uk/google-ads/google-ads-performance-max-the-ultimate-guide). This serves as a planning heuristic. Standard Shopping can function at lower conversion volumes with manual or target-based bidding.
- **Feed Dependency:** Both campaign types require a Merchant Center product feed. In Performance Max, a feed-only setup with no manually added creative assets concentrates delivery heavily on Shopping placements. Standard Shopping is entirely feed-driven.

With those differences in hand, the choice comes down to your account’s conditions. Choose Performance Max when conversion volume is above 30–50 monthly conversions per campaign, the account has clean conversion tracking and a healthy asset library, the goal is reach across Google’s full inventory, and the team has reporting that separates brand from non-brand performance.

Choose Standard Shopping when monthly conversions sit below the threshold for reliable Performance Max learning, margins vary significantly across the catalog and need product-level bid control, the account needs strict negative keyword discipline, or the brand has heavy brand-protection requirements and a small catalog.

Google has reported that advertisers who moved from Standard Shopping to Performance Max saw a 25% average increase in conversion value at a similar ROAS. [This is an aggregate figure from Google’s own guidance](https://cometogether.media/blog/single-post/performance-max-vs-standard-shopping). Treat it as directional context, not a forecast for any single account.

## Are Performance Max Campaigns Worth It? It Depends On Volume, Margin, And Reporting

Whether Performance Max is worth running depends on conversion volume, margin structure, and whether reporting is clean enough to trust. Worth is not a universal judgment across accounts.

At low conversion volume, roughly fewer than 30 meaningful conversions per month, [Performance Max’s learning phase may never fully conclude](https://insightland.org/blog/what-performance-max-actually-does-and-how-much-control-you-can-reclaim-in-2026). In that situation the algorithm guesses, and cost-per-acquisition stays erratic. Standard Shopping at the same spend level stays concentrated on the Shopping surface, where conversion rates tend to run higher and the feedback loop is cleaner.

Margin structure shapes the next constraint. Performance Max has no bid caps and will pay what the auction requires to hit the campaign-level target. On a catalog where margins range from 15% to 65%, a single blended target ROAS misaligns with most products. The algorithm favors the cheapest recorded conversion, which is often a branded query or a low-margin SKU. Without product-level segmentation by margin tier, Performance Max can show healthy reported ROAS while contribution margin erodes.

Reporting quality completes the picture. [The most common pattern in early 2026 PMax channel disclosures is 50–70% of spend going to Display and Discover while 30–50% of conversions come from Search and YouTube](https://foreground.agency/blog/pmax-transparency-2026-updates). When brand terms stay included, a significant share of those conversions represent demand the account would have captured anyway through a branded Search campaign at lower cost. Judging Performance Max on its reported ROAS before separating brand from non-brand is the failure mode that makes inherited accounts look healthy while they lose money.

## How Many Performance Max Campaigns You Actually Need

The right number of Performance Max campaigns follows from feed segmentation and margin tiers rather than a fixed rule of thumb. Too many campaigns split conversion signal and starve the learning algorithm. Too few collapse distinct product economics into one budget and one ROAS target.

A practical starting point is to segment by margin tier using Merchant Center custom labels, then build campaigns around those tiers instead of around product categories alone. [Three to seven asset groups per Performance Max campaign, segmented by product category with matched creative, is the working sweet spot](https://iclickadvertising.com/blog/performance-max-vs-standard-shopping). Every additional campaign divides conversion volume and weakens Smart Bidding as per-campaign data thins.

Signal starvation becomes a real risk at low volume. Each Performance Max campaign needs its own conversion volume to learn. If the account generates 60 monthly conversions total and those are split across four campaigns, none of them has enough data to exit the learning phase reliably. Consolidate first, then segment as volume grows. Aim for the fewest campaigns that still allow meaningful margin separation.

## How To Actually Test Performance Max Against Standard Shopping

A Google Ads campaign experiment with a traffic split is the clean way to compare Performance Max against Standard Shopping. Before-and-after comparisons or borrowed benchmarks from other accounts do not isolate campaign type.

The setup starts with a mature Standard Shopping campaign as the control. That campaign should already be out of its learning phase and not participating in another experiment. The treatment is a Performance Max campaign targeting the same products. Before launch, align both arms on locations, languages, conversion goals, Merchant Center feed, attribution settings, and tROAS target. A 50/50 traffic split gives the clearest read. [Run the experiment for at least six to eight weeks](https://ecomtalkpoint.com/performance-max-vs-shopping-ads) so Performance Max has time to exit its learning phase.

Write the decision rule before the experiment starts, because a test without a pre-committed rule invites you to rationalize any result. Anchor the rule on conversion value or a contribution-margin proxy rather than clicks or blended ROAS alone. Secondary diagnostics such as product-level economics, brand overlap, and daily stability explain why the result happened, while guardrails on spend, CPA, margin, and new-customer mix catch harm along the way.

Several factors make a test unfair. Unequal budgets between arms, mid-test bid strategy changes, running the experiment during a promotional period or peak season, and changing the product set in only one arm all blur the result. [Pause unrelated creative refreshes, landing-page tests, and feed restructuring until the experiment ends](https://anatainc.com/blog/run-performance-max-experiments). If a material tracking defect or policy disapproval affects only one arm, mark that period invalid and restart.

After the experiment, the decision usually falls into four outcomes. You adopt Performance Max, stay on Standard Shopping, run both with distinct jobs, or declare the result inconclusive and extend the window. “No significant difference” still gives useful information because it shows the two campaign types behave equivalently for this account at this volume.

## Can You Run Performance Max And Standard Shopping Together Without Cannibalizing Yourself?

Running Performance Max and Standard Shopping together works when you set clear controls. Without those controls, you invite attribution overlap, inflated reported ROAS, and budget drift toward branded traffic and high-impression low-margin placements.

Four controls prevent cannibalization: brand exclusions, account-level negative keyword lists, product segmentation, and feed hygiene. Each plays a different role.

Brand exclusions at the campaign level instruct Performance Max to drop bids to zero when a query matches the brand entity. [Brand exclusions use Google’s brand registry as the matching mechanism](https://hustlemarketers.com/performance-max-negative-keywords-strategy), so they catch misspellings and alternate names automatically. They apply to Search inventory only. Performance Max can still attribute branded conversions through Display and YouTube placements, which is why a dedicated exact-match branded Search campaign remains the cleaner solution. If applying brand exclusions causes Performance Max ROAS to crater, that reveals the campaign was largely harvesting branded traffic the account would have captured anyway.

Account-level negative keyword lists apply across all eligible Search and Shopping inventory, including both Performance Max and Standard Shopping. They do not block YouTube, Display, Gmail, or Discover. Keep the account-level list focused on terms that are universally irrelevant across every product. Use the campaign-level list for narrower cases.

Product segmentation provides the most important structural control. [Listing group exclusions keep each product in exactly one Shopping-capable campaign](https://nine.am/insights/performance-max-vs-standard-shopping). Use Merchant Center custom labels to segment by margin tier, sales velocity, and product role, then assign those segments to the appropriate campaign. When Performance Max and Standard Shopping target the same SKU, [Ad Rank decides the winner as of October 2024](https://ppc.land/performance-max), which makes serving and reporting unpredictable.

Feed hygiene supports every control above. Accurate product titles, clean product types, and consistent custom label values keep segmentation stable. A feed with incomplete attributes or inconsistent labeling undermines structural decisions made at the campaign level.

[Get cannibalization controls and playbooks by email](https://tower33.com/join-strategy-newsletter/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent)

## What Performance Max Reporting Actually Shows And What It Still Hides

Performance Max reporting has improved materially since 2025, and several 2026 updates expanded visibility. [Google’s 2026 updates added channel-level reporting rolled out to all Customer IDs in January 2026](https://insightland.org/blog/what-performance-max-actually-does-and-how-much-control-you-can-reclaim-in-2026). A channel contribution timeline followed in April. Asset-group-level reporting now surfaces conversions and cost below the campaign level, and Search Partner placement visibility arrived in “when and where ads showed” reports in February 2026.

Several gaps remain. Performance Max still does not provide a complete, query-level search terms report. [Search terms reporting remains less granular than Standard Search](https://oneppcagency.co.uk/google-ads/google-ads-performance-max-the-ultimate-guide). It shows grouped categories or themes and may withhold low-volume queries instead of listing every user query. There is also no per-channel budget allocation control. The channel report shows where spend went but does not let you redirect it. [Search-term reporting stays aggregated and trimmed for privacy](https://foreground.agency/blog/pmax-transparency-2026-updates).

The more important point is that these transparency updates do not change Performance Max’s fundamental nature. As one analysis put it, it behaves like a black-box optimization engine that now tells you the color of the box. Reporting that looks transparent can still mislead when the conversion signal feeding the algorithm is dirty. Many inherited accounts show the same pattern described earlier: reported ROAS looks healthy while the account loses money on every order. The measurement was wrong before anyone read the report. Rebuilding conversion tracking and separating brand from non-brand comes before any verdict on Performance Max.

Use the available reporting for diagnosis and hypothesis development. Look at which asset groups underperform, which channels absorb spend without proportional conversion contribution, and whether the channel mix shifts after a feed or creative change. Avoid treating last-click attribution from a multi-channel campaign as a measure of causality. When incrementality is the question, run an incrementality test, because the channel report cannot answer that question on its own.

## Asset And Feed Readiness As A Prerequisite For Any Comparison

Asset and feed quality determine whether any Performance Max versus Standard Shopping comparison means anything. The campaign type does not fix weak inputs.

For Performance Max, asset readiness means video assets in all three orientations, lifestyle images at the required ratios, and headline and description coverage well above the minimums. [Google reports that advertisers who improve Ad Strength to “Excellent” see 6% more conversions on average](https://support.google.com/google-ads/answer/13775965) (Google Data, Global, February 2024). When video assets are missing, Performance Max auto-generates them, and auto-generated video quality varies. Upload your own so the system does not decide for you.

Feed quality underpins both campaign types. Accurate product titles, GTINs, complete product attributes, clean imagery, and correct availability status drive product-matching quality. A 2026 agency case study tracked a Merchant Center feed that was only 40% complete. Fixing that feed outperformed most bidding changes tested that quarter. Audit the feed before auditing anything else. Custom labels for margin tier, performance tier, and promotional status keep campaign segmentation stable as the catalog changes.

## When To Migrate To Performance Max And When Standard Shopping Still Wins

Migration to Performance Max carries real costs that you should weigh against the upside. These costs include learning-phase budget spend during the transition, loss of product-level bid control, and a period of performance volatility that can be hard to explain internally.

Those costs make sense when the account has the conversion volume, asset library, and measurement infrastructure to support Performance Max. They do not make sense when those conditions are missing.

Staying on Standard Shopping is the right call when monthly conversions sit consistently below 30, the catalog is small with thin margins, the account requires strict negative keyword discipline that Performance Max’s Search-only negatives cannot match, or brand protection is a primary concern and the conversion volume does not justify the complexity of running both. [Standard Shopping also wins on net profit margin in the majority of lower-conversion accounts tested](https://cometogether.media/blog/single-post/performance-max-vs-standard-shopping), even when Performance Max leads on reported ROAS, because tighter negative keyword control reduces wasted spend.

Migration timing also carries risk. Moving products from Standard Shopping to Performance Max should run through Google’s Campaign Experiments or a geo-split, with the Performance Max budget set equal to or above the prior Shopping budget. A sales dip from underfunding reflects a budget problem rather than a campaign-type failure.

For more on building the right Shopping campaign structure from the ground up, see [How To Structure Google Shopping Campaigns By Category](https://tower33.com/articles/structure-google-shopping-campaigns-category/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent). For Performance Max setup specifics, see [How To Set Up And Scale Google Performance Max For D2C](https://tower33.com/articles/setup-google-performance-max-campaigns/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent).

## Two Adjacent Clarifications So You Don’t Confuse The Campaign Types

### Performance Max Vs Search Campaigns

Performance Max and Search campaigns serve different roles and are not interchangeable. Search campaigns give granular control over keywords, match types, bids, and ad copy, and they provide a full search terms report. Performance Max covers Search as one of several surfaces, with no keyword-level control and aggregated query data. [When an exact-match keyword in a Search campaign matches a query, the Search campaign is prioritized over Performance Max](https://ppc.land/performance-max). That priority is why a dedicated exact-match branded Search campaign alongside Performance Max remains the standard brand-protection setup.

### Performance Max Vs Demand Gen

Demand Gen is a separate Google Ads campaign type covering YouTube, Discover, and Gmail. Channel selection remains manual and the objective focuses on demand creation rather than conversion capture. Performance Max includes those surfaces but allocates budget across them automatically alongside Search and Shopping. Demand Gen gives more creative control over upper-funnel placements. Performance Max treats those placements as part of a conversion-optimized mix. They serve different strategic purposes and should stay distinct in planning.

## Why Tower33 Rebuilds Measurement Before Declaring A Winner

Tower33 is a boutique, founder-led paid media firm built to serve the underserved middle. Anthony Miller, Founder and Lead Strategist, brings 15+ years managing hundreds of millions in media spend across brands to every engagement, with no pitch-to-delivery handoff. He runs strategy and day-to-day management on every account.

Before any verdict on Performance Max or Standard Shopping, Tower33 rebuilds measurement. That work includes conversion signal hygiene, brand and non-brand separation, and server-side tracking to prevent attribution loss. The pattern in inherited accounts is consistent: reported ROAS looks healthy while the account loses money per order. That pattern reflects a measurement problem rather than a campaign-type problem. A pre-engagement account audit runs before any agreement is signed. Triage and rebuild happen simultaneously in the first 30 days, with new campaign concepts launched within 30 days or less. Reporting is built to surface what is not working instead of reassuring stakeholders. There is no contractual lock-in, so performance holds the relationship.

The decision between Performance Max and Standard Shopping comes down to audience fluency and using each network correctly against the goal. Configuration alone will not close the gap. If you want a framework for thinking about paid media that goes deeper than campaign type, the Tower33 newsletter includes a free methodology guide.

[Get the free paid media methodology](https://tower33.com/join-strategy-newsletter/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent)

## Frequently Asked Questions

### Are Google Shopping Ads Better Than PMax?

Neither campaign type wins in every situation. Standard Shopping gives more control over products, bids, and negative keywords, and it tends to outperform Performance Max on net profit margin in lower-conversion accounts. Performance Max reaches more surfaces and can drive higher conversion value at scale when the account has sufficient conversion volume, clean tracking, and a strong asset library. The right answer depends on the account’s specific conversion volume, margin structure, and reporting infrastructure.

### Is PMax The Same As Demand Gen?

Performance Max and Demand Gen are distinct Google Ads campaign types. Performance Max runs across all of Google’s inventory, including Search, Shopping, YouTube, Display, Discover, Gmail, and Maps, with Google’s AI allocating budget across surfaces automatically and optimizing toward conversions. Demand Gen covers YouTube, Discover, and Gmail specifically, with manual channel selection and an objective focused on demand creation rather than direct conversion capture. They serve different strategic purposes and are not interchangeable.

### What Channels Does PMax Cover?

Performance Max serves across Google Search, the Shopping tab, YouTube, Display Network, Discover, Gmail, and Maps from a single campaign. Google’s AI determines how budget is allocated across these surfaces based on the advertiser’s conversion goals and bidding parameters. Advertisers cannot set independent budgets or bids by channel. They can observe the channel split through reporting and influence it indirectly through asset quality, exclusions, and feed structure.

### Should I Switch From Standard Shopping To Performance Max?

Switching makes sense only after you weigh conversion volume, margin structure, asset readiness, and measurement quality. When monthly conversions sit below 30, the catalog is small, or margins are tight and require product-level bid control, staying on Standard Shopping is often the better call. When the account has the volume and infrastructure to support Performance Max, run a Google Ads campaign experiment to compare the two under the same conditions before migrating. Moving products without a controlled test makes it hard to separate campaign-type effects from budget and timing effects.

### How Long Does The PMax Learning Phase Take?

Performance Max typically needs four to six weeks to exit the learning phase when conversion volume is sufficient. At low volume, roughly a dozen conversions per month, the learning phase may never fully conclude, which signals a mismatch between the format and the account’s scale. Avoid major changes to budget, ROAS targets, asset groups, or listing groups during the learning phase, because each significant change can restart it and extend the period of volatile performance.

### What Reporting Does PMax Actually Give You?

As of 2026, Performance Max reporting includes channel-level performance showing how spend and conversions distribute across Search, Shopping, YouTube, Display, Discover, Gmail, and Maps. It also includes asset-group-level reporting with impressions, clicks, cost, and conversions, a channel contribution timeline showing how each surface contributed over a selected period, Search Partner placement visibility, and search-term insights showing aggregated query categories. It does not provide query-level search term data, per-channel budget allocation control, or full impression share data equivalent to Standard Shopping.

### Can I Use Negative Keywords In PMax?

Performance Max supports up to 10,000 campaign-level negative keywords that apply to Search and Shopping inventory. Account-level negative keyword lists also apply across eligible Search and Shopping inventory in Performance Max campaigns. These controls do not block YouTube, Display, Gmail, or Discover placements. Those surfaces require different tools, such as placement exclusion lists or asset-group creative management. Brand exclusions are a separate mechanism that uses Google’s brand registry to block branded queries on Search inventory.

## The Decision Is A Measurement Problem, Not A Settings Problem

Neither Performance Max nor Standard Shopping wins by default. The decision turns into a measurement problem, and the brands that get it right test honestly and run both without cannibalization. The structural comparison and the “choose X if / choose Y if” guidance are the easy part. The hard part is building the measurement infrastructure that makes the comparison meaningful.

Next steps follow a clear order. Audit conversion tracking and fix what is broken. Separate brand from non-brand so reporting stops being polluted. Check feed quality and asset readiness. Then run a controlled experiment before making structural decisions. The performance difference between a well-run hybrid structure and a poorly run one comes from fluency in the audience and correct use of each network against the goal.

For more on how Tower33 approaches paid media strategy, browse [the full Tower33 article archive](https://tower33.com/our-thinking/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent). If you have recently come through a difficult agency relationship and are thinking through what comes next, [Agency, Consultant, Or In-House: How To Make The Right Call After A Bad Paid Media Partner](https://tower33.com/agency-consultant-or-in-house-how-to-make-the-right-call-after-a-bad-paid-media-partner/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent) is worth reading before you decide.

[Email Tower33](mailto:info@tower33.com) · [Visit the Tower33 site](https://tower33.com/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent) · Connect with Anthony on LinkedIn

[Get the paid media playbook in your inbox](https://tower33.com/join-strategy-newsletter/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent)

## Read Next

- [How To Set Up And Scale Google Performance Max for D2C](https://tower33.com/articles/setup-google-performance-max-campaigns/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent)
- [Performance Max Management: A Buyer’s Pricing Guide](https://tower33.com/articles/performance-max-management-pricing/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent)
- [Choosing the Right Google Shopping Agency for Your Brand](https://tower33.com/articles/best-google-shopping-agency-guide/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent)
- [Programmatic Advertising Best Practices: A 10-Step Playbook](https://tower33.com/articles/best-programmatic-advertising-practices/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent)
- [Why Your Microsoft Ads Are Underperforming & How to Fix It](https://tower33.com/articles/troubleshooting-microsoft-ads-underperformance/?utm_term=performance-max-vs-standard-shopping&utm_campaign=ai_growth_agent)

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      - **Text:** Performance Max and Demand Gen are distinct Google Ads campaign types. Performance Max runs across all of Google’s inventory, including Search, Shopping, YouTube, Display, Discover, Gmail, and Maps, with Google’s AI allocating budget across surfaces automatically and optimizing toward conversions. Demand Gen covers YouTube, Discover, and Gmail specifically, with manual channel selection and an objective focused on demand creation rather than direct conversion capture. They serve different strategic purposes and are not interchangeable.
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      - **Text:** Performance Max typically needs four to six weeks to exit the learning phase when conversion volume is sufficient. At low volume, roughly a dozen conversions per month, the learning phase may never fully conclude, which signals a mismatch between the format and the account’s scale. Avoid major changes to budget, ROAS targets, asset groups, or listing groups during the learning phase, because each significant change can restart it and extend the period of volatile performance.
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      - **Text:** Performance Max supports up to 10,000 campaign-level negative keywords that apply to Search and Shopping inventory. Account-level negative keyword lists also apply across eligible Search and Shopping inventory in Performance Max campaigns. These controls do not block YouTube, Display, Gmail, or Discover placements. Those surfaces require different tools, such as placement exclusion lists or asset-group creative management. Brand exclusions are a separate mechanism that uses Google’s brand registry to block branded queries on Search inventory.

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    - **Name:** Anthony Miller
    - **JobTitle:** Founder
    - **Description:** 20+ years in customer acquisition, digital marketing, search, social, analytics, and technology.Anthony has worked with hundreds of brands, managed hundreds of millions in ad spend, and founded both Tower33 and Travel Outside. Today, he works with select partners building and running customer acquisition ad programs through strategy, and hands-on management.
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---

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- **MCP Server (Model Context Protocol):** [https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/](https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/) — Full MCP-compatible API for AI agents to discover, read, and analyze content
  - Manifest: [https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/manifest](https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/manifest)
  - Schema: [https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/schema](https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/schema)
  - Discovery: [https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/discover](https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/discover)
  - Well-Known: [https://tower33.com/articles/.well-known/mcp](https://tower33.com/articles/.well-known/mcp)
- **Web Stories:** [https://tower33.com/articles/web-stories-sitemap.xml](https://tower33.com/articles/web-stories-sitemap.xml) — AMP Web Stories for rich visual content experiences

## Discovery Endpoints for AI Agents

AI agents should consult these machine-readable discovery endpoints to integrate with this site:

- **OpenAI Plugin Manifest:** [https://tower33.com/articles/.well-known/ai-plugin.json](https://tower33.com/articles/.well-known/ai-plugin.json)
- **A2A Agent Card:** [https://tower33.com/articles/.well-known/agent-card.json](https://tower33.com/articles/.well-known/agent-card.json)
- **MCP Server (Streamable HTTP):** [https://tower33.com/articles/.well-known/mcp](https://tower33.com/articles/.well-known/mcp)

## Citations

- [Google Local Services Ads Requirements: A Complete Guide](https://tower33.com/articles/google-local-services-ads-requirements/)
- [How To Optimize Google PMax Campaigns That Actually Convert](https://tower33.com/articles/optimize-google-pmax-campaigns/)
- [Best Agency for Google Search Campaigns: A Buyer’s Guide](https://tower33.com/articles/best-agency-google-search-campaigns/)
- [Google Shopping Budget Allocation: A Step-by-Step Guide](https://tower33.com/articles/google-shopping-campaign-budget-allocation/)
- [The Best Google Ads Reporting Agency Lets You Audit First](https://tower33.com/articles/best-google-ads-reporting-agency/)

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*This document was automatically generated by [AI Growth Agent](https://tower33.com/articles) — AI Growth SEO v4.38.1*
*Generated on: 2026-11-07 18:59:36 GMT+0000*