--- title: "Performance Max Decision Framework" url: https://adtech.lol/articles/5e2278d1-63a6-400c-a17e-6294f7f44354 source_url: https://searchengineland.com/performance-max-decision-framework-494851/ source_site: searchengineland author: "Menachem Ani" published: 2023-10-05T00:00:00+00:00 tags: ["Google Ads", "Performance Max", "PPC", "Marketing Strategy", "Search Engine Marketing"] publisher: AdTech Radar --- # Performance Max Decision Framework > An analysis of how to effectively manage Google Ads Performance Max campaigns by understanding the signals of account performance and making data-driven decisions on campaign structure. ## Introduction Few Google Ads campaign types divide PPC practitioners quite like Performance Max. Some advertisers consolidate everything into Performance Max and let the machines run the show. Others treat it as a black box that eats their budget and avoid it altogether. After running Performance Max across dozens of accounts, I can tell you that neither extreme is the right approach. Whether you lean into it or shut it off should depend on the signals in your account, not your ideology. The same account that should consolidate today might need to diversify six months from now. Brand cannibalization, feed quality, channel performance, conversion volume, and product margins should guide those decisions. ## The two extremes of Performance Max Before we get into the signals, it helps to see the two traps that most of the accounts I audit are sitting in. ### Excess consolidation This usually comes from taking Google’s recommendations at face value. One campaign ends up owning the whole account (and budget), and because Performance Max is algorithmic, you can’t control where the spend goes or what gets promoted over something else. The classic version is branded Search getting cannibalized by Performance Max. Your blended ROAS looks great, but a big chunk of that demand was already owned. Google can’t tell the difference between a brand conversion and a net-new one, so it takes credit for a 10x ROAS while your actual prospecting efficiency suffers. ### Excess isolation This usually comes from carrying forward the old ways we used to run Shopping and Search. You build 15 campaigns split by every product line, audience, and one-off idea. The problem is that Performance Max needs data volume to succeed. Fragmentation means no campaign gets enough conversion data to exit learning, so everything sits half-optimized while the budget gets spread too thin. ## 5 signals to guide your Performance Max campaign structure Excessive consolidation and isolation have the same root cause: running Performance Max with the mindset of an older campaign type rather than what it actually is. But the five signals below are how you figure out where your account sits on the spectrum between these extremes. ### Signal 1: Brand traffic cannibalization **What this signal tells you:** Whether your reported ROAS is real or inflated. The first thing I check in any Performance Max campaign is the brand vs. nonbrand split. If it’s eating up branded searches, you’ll see it in the search term insights and in the impression share of your brand terms. The inability to set separate bids or targets for branded and generic terms means that when Performance Max grabs a brand conversion, the system sees a cheap and easy sale … and then decides this is what good looks like for your account. It then goes after more conversions at that cost level, which inflates your CPCs on branded terms you could win for a fraction of the price. The double penalty is that prospecting efficiency gets masked, and you pay a premium to convert people who were already likely to buy from you. ### Signal 2: Feed quality and readiness **What this signal tells you:** Whether Performance Max even has a fair shot. For ecommerce accounts, Performance Max is only as good as the feed underneath it. Miscategorized products, nondescriptive titles, and missing attributes mean that Google is optimizing based on bad data. No amount of budget fixes that. If your feed is broken, the first move has to be to fix it. Don’t throw a broken feed into Performance Max and expect Google to do anything other than find the path of least resistance. ### Signal 3: Channel-wise ROAS **What this signal tells you:** What actually works and what’s being carried. Performance Max reports one blended ROAS across Shopping, Search, Display, and Video. If one channel is crushing it and another is lagging behind, the surface value can mask the economic story. ### Signal 4: Account size and data volume **What this signal tells you:** Whether you have the data to support more campaigns. I tend to argue that campaign count should follow data volume, not your creative whims or your product catalog. ### Signal 5: Category and margin structure **What this signal tells you:** Whether segmentation helps or hurts. Conversion data and demand are vital, but they’re not everything. Even when there’s plenty of both, segmentation prevents high-value SKUs from being averaged in with products that have very different economics (margin, price point, buying cycle). ## Keep it flexible These five signals need to be viewed as ranges, not absolutes. No single signal outweighs all the others, and no decision is permanent. You keep monitoring the account’s health and depth against the direction of the business. The same account that needs to get off Performance Max today may warrant the opposite call six months later once the feed is cleaned up, conversion volume doubles, or a new category launches with new margins. And when the decision framework guides you to wall things off, don’t cut everything at once. Source: [https://searchengineland.com/performance-max-decision-framework-494851/](https://searchengineland.com/performance-max-decision-framework-494851/)