The Broken Debate
"Google is just remarketing."
We've heard it from brand founders, Twitter pundits, and Meta-agency loyalists. It's become the default take in every marketing Slack channel and conference panel. Google Ads isn't incremental. You're paying for customers who would've bought anyway.
After auditing 100+ Google Ads accounts, we have a different view. Not because we're Google defenders - we've cut Google spend for clients when the data warranted it. But because the entire incrementality debate is pointed at the wrong 4% of the platform.
Here's what most people get wrong: they build their entire Google Ads opinion around brand search. Someone Googles your brand name, clicks your ad, buys. Would they have bought without the ad? Probably. Fair criticism.
But brand search is roughly 4% of what Google Ads actually does.
The other 95% - non-brand Shopping, non-brand Search, Performance Max with brand exclusions - operates on completely different mechanics. And the incrementality debate rarely addresses it with any precision.
This isn't a pro-Google or anti-Google argument. It's a measurement argument. Both sides are using the wrong numbers to make their case, and brands are making six- and seven-figure budget decisions based on a debate that's fundamentally misdirected.
322 incrementality tests conducted by Measured in 2025 found that Performance Max delivers a median incremental ROAS of $2.02. With brand exclusions, that number rises to $2.17 - a 20% lift. Non-brand campaigns drove 65% new customers.
These aren't platform-reported numbers. They're third-party validated. And they tell a very different story than the "Google is just remarketing" crowd would have you believe.
"80% of US senior marketing analytics professionals say incrementality experiments have high revenue impact." - Measured, 2025 Incrementality Benchmark Report
The question isn't whether Google Ads is incremental. It's which parts are incremental, at what ROI level, and whether your account is structured to capture that value.
Let's break this apart.
The Architecture Misconception
The "Google is just remarketing" argument has a fundamental flaw: it confuses how Google works with how Meta works.
Meta is audience-based. It targets people based on who they are - their behavior, interests, lookalike profiles, past interactions with your brand. When someone sees your Meta ad and then Googles your brand name, the argument that Meta "created" that demand has real weight. The person was targeted based on their identity.
Google is keyword-based. It targets what people search for right now. Not who they are. Not what they did yesterday. What they're actively looking for in this moment.
When someone searches "waterproof hiking boots size 11," Google doesn't know if they saw your Meta ad last week. It doesn't know if they visited your site. It knows one thing: they want waterproof hiking boots in size 11, and they're comparing options.
This distinction matters enormously for the incrementality question.
Remarketing requires audience targeting - showing ads to people who already interacted with your brand. Google Shopping doesn't audience-target by default. It matches product feeds to search queries. The mechanism is entirely different.
Now, there's a grain of truth the critics grab onto. Meta can inflate branded search volume. Someone sees your Instagram ad, doesn't click, then Googles your brand name two days later. If you're running branded search ads, you pay Google for a click that Meta arguably generated.
That's a real phenomenon. We've seen it in accounts where pausing Meta leads to a measurable drop in branded search volume.
But here's where the logic breaks down: that scenario only applies to brand search. And brand search represents a sliver of your total Google presence.
The critics are right about the mechanism. They're wrong about the scope. They've correctly identified a $1,000 problem and used it to dismiss a $100,000 opportunity.
The 4% Trap
Let's be specific about what we mean by "4%."
In a typical e-commerce Google Ads account, brand search campaigns represent roughly 2-5% of total clicks and impressions. The exact percentage varies by brand recognition, but the principle holds: brand search is the smallest, least interesting slice of your Google Ads presence.
And the critics are right about it. Brand search is the least incremental part of Google Ads. If someone is searching your exact brand name, they probably already know you exist. The ad might accelerate the purchase, but the customer was likely coming regardless.
Here's the test: turn off brand search for 2 weeks. Measure what happens to your organic traffic and direct sales. For most brands, 60-80% of that revenue comes back through organic. Brand ads are a convenience fee, not a growth engine.
Some brands legitimately don't need brand campaigns at all. If you sell a highly unique product with no close competitors bidding on your brand terms, branded search ads are a tax on your own demand.
We've recommended clients cut brand campaigns entirely. When the data supports it, we support it.
But building your entire Google Ads opinion around brand search is like judging a restaurant by the parking lot. You're evaluating the least important 4% and drawing conclusions about the whole operation.
The incrementality debate needs to move past brand search. It's been debated, tested, and largely settled: brand search is low-incrementality for most brands. Fine. Now what?
Now we talk about the 95% that actually matters.
Where Incrementality Actually Lives
Non-brand Shopping and Search is where the incrementality question gets interesting - and where the answer, for ~90% of brands, is clearly yes.
The logic is straightforward. Someone searches "white running shoes." They don't know your brand. They're comparing options. They can click you, they can click a competitor, they can click an ad or an organic result. If your ad isn't there, someone else gets that click.
That's not remarketing. That's acquisition. The customer is actively choosing, and your presence in that auction influences their choice.
Measured's data supports this: across 322 incrementality tests, non-brand campaigns showed a 65% new customer rate. These are people who weren't in your funnel. They were searching for a product, found you, and bought. Without the ad, they would've found someone else.
But (and this is where most brands stop too early) - simply running non-brand campaigns isn't enough. The quality of your non-brand presence determines how much incremental value you capture.
When we audit accounts, we ask 4 questions:
1. Product coverage. How many of your products are actually getting impressions? In most accounts we audit, hero SKUs eat 95% of spend while 400 other products sit gathering dust. You're not running a non-brand strategy. You're running a hero-product strategy.
2. Angle coverage. Are you showing up for the searches your product actually answers? Most brands target the obvious keywords and miss the 80% of queries where their product is relevant but invisible.
3. Campaign segmentation. Are you separating by margin, category, performance tier? Or is everything dumped into one Performance Max campaign with a prayer that the algorithm sorts it out? (It usually doesn't - at least not optimally.)
4. Feed quality. This is the one nobody talks about. Your feed determines which auctions you even enter. Bad titles, missing attributes, generic descriptions - Google can't match you to searches it doesn't understand.
Splitting brand and non-brand is level 1 of 10. It's hygiene, not strategy. The real incrementality questions live in levels 2 through 10 - product coverage, angle coverage, segmentation, and feed quality.
The Measurement Problem Nobody Wants to Admit
Both sides of the incrementality debate share a common weakness: they're reading the wrong numbers.
The Google defenders cite platform-reported ROAS. "We're at 4x ROAS on Google - it's clearly working." The problem: platform-reported ROAS overstates impact by roughly 35%, according to Haus data from the Caraway case study. Google counts conversions that would have happened anyway, especially on brand and retargeting campaigns.
A campaign showing 3.0x ROAS in Google's dashboard might be delivering 0.5x incrementally. That's not a rounding error. It's a 6x discrepancy.
The Google critics cite the platform numbers too - they just interpret them differently. "Google claims 4x ROAS but it's all remarketing." They're right that the numbers are inflated. But they're wrong about the cause. It's not that Google Ads doesn't work. It's that the default reporting doesn't measure what matters.
Neither side is measuring incrementality directly. They're arguing about proxy metrics.
Here's what direct measurement looks like:
Google lowered the minimum spend for incrementality conversion lift tests from $100,000 to $5,000 in 2025. This means most e-commerce brands can now run proper incrementality tests without massive budgets.
But there's a catch. Detection thresholds matter. If you have 1,000 weekly conversions, you can detect a 10% lift with confidence. If you have 100 weekly conversions, you can only detect changes of 25% or more. Smaller brands may not have enough volume for precise measurement.
The ServicePro case study illustrates what happens when you do measure properly: $25,000 in monthly Google spend generated $100,000 in truly incremental revenue - a 400% return. But only after switching from platform-reported ROAS to a proper incrementality framework.
The real risk isn't that Google Ads doesn't work. It's that you're making decisions based on numbers that don't reflect reality - in either direction.
Most brands are either over-investing based on inflated ROAS or under-investing based on the "it's just remarketing" narrative. Both positions cost money. The answer is measurement, not philosophy.
The Incremental Stack
After auditing 100+ accounts and studying the measurement data, we've developed a framework for how to think about Google Ads incrementality. We call it The Incremental Stack - 4 layers, each building on the one below.
Layer 1: Architecture Understanding
Before you can measure incrementality, you need to understand how Google actually works. Keyword-based targeting is not audience-based targeting. This distinction determines which parts of the platform are incremental by nature.
Non-brand = incremental by architecture (buyer is choosing between competitors). Brand = low incrementality by architecture (buyer already chose you).
Most accounts never get past this layer because they treat all Google Ads spend as one bucket.
Layer 2: The Brand/Non-Brand Split
Separate brand from non-brand. Measure them independently. This is the baseline - if you haven't done this, nothing else matters.
Test brand incrementality directly: pause brand campaigns for 2 weeks, measure organic recovery. Some brands recover 80%+ organically. Others lose meaningful revenue. Your answer depends on your competitive landscape.
Layer 3: The Coverage Engine
This is where most accounts fail. You've split brand and non-brand - good. But your non-brand campaigns are only as incremental as your coverage allows.
- Product coverage: If 95% of spend goes to 10 hero SKUs, you're incremental on those 10 products and invisible on 400 others.
- Angle coverage: If you're only showing up for the most obvious keywords, you're missing the long tail where competition is lower and incrementality is higher.
- Feed quality: Your product data determines which auctions you enter. Poor feed quality = poor coverage = lower incrementality ceiling.
Layer 4: The Measurement System
Build KPIs you trust. Platform ROAS is not a KPI - it's a vanity metric. Set up:
- Shorter attribution windows in your MTA tool (24-48 hour click-to-conversion)
- Regular incrementality lift tests (quarterly at minimum)
- Brand vs non-brand ROAS tracked separately
- New customer rate by campaign type
The Stack is sequential. Layer 3 doesn't matter if Layer 1 is wrong. Layer 4 is meaningless without Layer 3 in place. Most accounts jump straight to Layer 4 (measurement) without building Layers 2 and 3 first. They measure a broken system and conclude that Google doesn't work.
It's not that Google doesn't work. It's that their Google setup doesn't work.
The Feed Quality Multiplier
We've saved this section for a reason. Feed quality is the most underrated variable in the incrementality equation, and it's the one we have the most data on.
Your product feed isn't a data file. It's your auction entry ticket.
Google uses your feed data - titles, descriptions, attributes, images - to match your products to search queries. If your feed is generic, templated, or incomplete, Google can't match you to the searches that matter.
We've analyzed 500+ product feeds. 75% had near-identical titles across products - same brand name, same structure, same keywords. Google treats this as duplicate content. Your quality scores drop, your placements get worse, and you pay more for less.
We audited a feed with 600 products. Every title started with the brand name followed by the same category descriptor. Uniqueness score: 35%.
After rewriting each product with individual titles - unique keywords, unique attributes, unique angles per SKU - the score hit 98.7%. A 180% improvement.
The products that got unique titles started showing up in searches they were invisible for before. Not because demand changed. Because Google could finally understand what the products were.
Here's the connection to incrementality: you can't capture incremental value from auctions you don't enter. If your feed quality limits you to 30% of eligible auctions, you're leaving 70% of your non-brand incremental opportunity on the table.
Most brands debate Google incrementality at Layer 1 (is it remarketing or not?) while their real constraint sits at Layer 3 (coverage limited by feed quality).
You're not demand-capped. You're structure-capped.
How to Actually Answer the Question for Your Account
Philosophizing about incrementality is free. Testing it costs money and attention. Here's a practical framework for answering the question for YOUR account.
Step 1: Assess your product uniqueness.
If you sell a genuinely unique product with no close substitutes, brand search matters less. Customers will find you organically because nobody else offers what you have. Non-brand becomes your primary growth channel, and it's highly incremental because you're competing with dissimilar alternatives.
If you sell in a competitive category (most e-commerce), both brand and non-brand matter - but for different reasons. Brand protects against competitor conquest. Non-brand drives new acquisition.
Step 2: Evaluate your non-brand replaceability.
Ask: if a customer searches a generic term and doesn't see my ad, would they buy from a competitor? If the answer is yes (and for most brands, it is), your non-brand presence is incremental. That click could've gone anywhere.
Step 3: Set conservative attribution windows.
Switch your MTA tool to 24-48 hour click-to-conversion windows. This cuts out the noise of "I clicked an ad 28 days ago and eventually bought" attributions that inflate Google's numbers. What you're left with is closer to the true incremental picture.
Step 4: Run incrementality tests quarterly.
Google's lowered minimums make this accessible for most brands. Start with your highest-spend non-brand campaigns. Run geo-based or conversion lift tests. Get real incrementality data instead of arguing about it.
Know your detection limits. If you're running fewer than 100 conversions per week on a campaign, you need large effects (25%+) to detect them reliably. Don't conclude that something "doesn't work" because a test was inconclusive - you may just lack the statistical power.
Step 5: Build the KPIs you trust, then optimize against them.
The goal isn't perfect measurement. Perfect measurement doesn't exist in marketing. The goal is a measurement system you trust enough to make decisions against. Set your benchmarks, test regularly, and scale what's incremental at an acceptable ROI.
The Real Takeaway
The Google Ads incrementality debate is valid. But it's been stuck at the wrong level for years.
Critics focus on brand search - the smallest, least interesting slice of the platform. Defenders cite platform-reported ROAS - numbers that overstate impact by a third. Neither side is measuring what matters.
Google is about keywords, not audiences. That architectural distinction determines everything. Non-brand search and shopping are incremental by nature because the customer is actively choosing between competitors. Your job is to make sure you're in that consideration set.
The Incremental Stack is how we think about it:
- Understand the architecture (keyword vs audience)
- Split and test brand independently
- Build the coverage engine (product, angle, feed quality)
- Measure with KPIs you trust
Most brands are arguing at Layer 1 while their real constraints live at Layer 3. Fix the engine. Build the measurement system. Then debate the philosophy.
Stop asking "is Google incremental?" Start asking "is MY Google setup structured to capture incremental value?"
The answer to the first question is nuanced. The answer to the second question is something you can actually fix.
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Ruslan co-founded Tegra in 2017. Runs the Google Ads practice - feed, PMax, search, attribution. Writes weekly about the parts of paid search operators are afraid to touch.