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Google Just Told PPC Teams They’re Leaving Enormous Money on the Table. Here’s Exactly Where.
830% Search headroom. 54% YouTube ROAS lift sitting uncaptured. 85% of campaigns suboptimal on creative. Google’s latest effectiveness research is a direct indictment of how most paid media teams run their accounts and a precise roadmap for fixing it.
Most PPC accounts are optimised. Bid strategies are set. Audience segments are defined. Negative keyword lists are clean. Performance is tracked against ROAS targets. The account looks healthy.
And yet Google’s Effectiveness Equation Part II published in July 2026 in collaboration with Ekimetrics, Kantar, and Circana suggests that most of those healthy-looking accounts are significantly underperforming their actual potential. Not by 5-10%. By margins that should reopen every major budget and strategy conversation you’ve had in the last 12 months.
There are four findings in the research. Each one maps directly to a specific PPC failure mode. Here’s what the data says, what it means in paid media terms, and exactly what to do about it.
The Setup: Why “Optimised” Isn’t the Same as “Effective”
The report opens with a finding that reframes the entire conversation about PPC performance: short-termism is a major concern for 55% of the industry, and it causes measurement frameworks to undervalue roughly half of what marketing actually delivers.
In PPC terms, short-termism looks like this: every budget decision is made against 30-day ROAS. Campaigns that produce immediate attributed conversions get funded. Campaigns that build demand, warm audiences, or drive consideration get cut. Over time, the account concentrates entirely in lower-funnel, high-intent capture, branded search, exact match, retargeting because those are the campaigns that look good in the reporting window.
The result is an account that’s extremely efficient at harvesting existing demand and completely absent from the process of creating it. When the existing demand dries up because nobody invested in building it the lower-funnel campaigns have nothing left to capture, and performance collapses.
That’s not a platform problem. It’s a measurement and strategy problem. And Google’s research gives you the specific numbers to make the case for fixing it.
Finding 1: Your Search Campaigns Have 830% More Headroom Than You Think
The most striking number in the entire report: the average retail brand has the theoretical capacity to increase Search investment by 830% before reaching the saturation point.
This comes from saturation curve modelling, a methodology that identifies the point at which additional investment stops generating proportional returns. Most PPC teams assume they’re at or near saturation because their efficiency metrics look optimized. CPA is on target. ROAS meets the benchmark. Impression share is high on core terms. The account looks like it’s working at capacity.
Saturation curve analysis says otherwise is overwhelmingly. The reason is that AI-powered Search is generating record usage and an increasing volume of high-intent queries that most fixed-budget accounts aren’t capturing. AI Max for Search, which is designed to reach the full breadth of relevant queries including long-tail and conversational searches, shows a 27% conversion lift versus manually managed campaigns. That delta exists precisely because manual campaigns are leaving a massive portion of addressable intent uncaptured.
What to actually do:
Run a demand capture gap analysis before your next budget cycle. The inputs:
First, pull your Search Impression Share Loss by budget and by rank. Impression share lost to budget is the clearest signal that you’re operating below your actual demand ceiling you’re winning the auction but can’t afford to show every time.
Second, audit your query coverage. How much of your campaign traffic is coming from exact and phrase match on known terms versus broad match capturing incremental intent? If the majority is on tightly controlled match types, you’re deliberately excluding demand your account could capture.
Third, if you’re not running AI Max for Search, that’s the immediate pilot to greenlight. The 27% conversion lift versus manual is the performance case. The saturation curve headroom is the strategic case. Together they make a compelling argument for increasing investment and expanding query coverage simultaneously.
Present the saturation curve concept to leadership as the answer to “why should we spend more when performance looks optimised?” The answer: because optimised efficiency at the current budget level is not the same as capturing the available demand. You’re running a sprint at 80% effort and calling it maximum capacity.
Finding 2: YouTube ROAS Is 54% Higher Paired With Search, You’re Probably Not Capturing This
This is the synergy finding and it should change how you structure every media plan going forward.
The research is specific: YouTube ROAS is 54% higher when paired with a strong Search strategy. That’s not a theoretical uplift from a model. That’s a measured performance difference between running YouTube alongside Search versus running YouTube in isolation.
The mechanism is straightforward. YouTube drives awareness and consideration. Search captures intent. When a buyer sees a YouTube ad, forms a brand impression, and then later searches for the product category, they’re more likely to click your Search ad and more likely to convert than a buyer who encountered your Search ad cold. YouTube warms the audience that Search closes.
Most PPC accounts don’t capture this synergy because YouTube and Search are managed separately, budgeted separately, and measured separately. YouTube is asked to justify its own ROAS. When it doesn’t because awareness campaigns don’t attribute conversions directly the budget gets cut. The Search campaign then operates without the demand-warming layer, performance softens, and the team wonders why a seemingly solid Search strategy isn’t converting as efficiently as it used to.
What to actually do:
Step one: stop measuring YouTube campaigns on last-click ROAS. It’s the wrong metric for an awareness channel. Measure it on reach, frequency, brand search lift, and assisted conversion influence. Google Ads’ attribution reports and Search lift studies give you the data to show YouTube’s contribution to Search performance.
Step two: build a coordinated audience strategy. Users who have viewed a YouTube ad should be in a separate audience segment in your Search campaigns bid adjusted upward, served more specific ad copy that references the consideration stage rather than introducing the brand from scratch. You know they’ve seen your brand. Your Search creative should reflect that.
Step three: run a Search lift study on your next YouTube campaign. This measures the direct impact of YouTube exposure on branded and category search behavior. The result is concrete evidence of YouTube’s contribution to Search performance evidence you can use to justify the combined budget to finance.
Finding 3: 85% of Campaigns Are Suboptimal on Creative And It’s Costing 1.7X ROI
Creative drives 49% of incremental sales. That’s Circana’s research. And Google’s analysis found that 85% of European ad campaigns are suboptimal on creative quality.
Put those two numbers together: the biggest performance lever available to most PPC accounts creative is being under utilized in 85% of campaigns. The cost of that gap is quantified: moving creative from poor to optimal delivers a 1.7X ROI improvement.
In paid media terms, 1.7X ROI improvement from creative optimisation alone is extraordinary. Most bid strategy changes, audience refinements, and match type adjustments move performance by single-digit percentages. Creative at scale particularly on YouTube and Demand Gen where creative is the primary performance variable can move it by 70%.
The problem is that most PPC teams treat creative as someone else’s job. The agency briefs the creative team, the creative team produces assets, the PPC team loads them into campaigns and moves on. Creative quality testing systematic measurement of which creative variants drive the best performance at each stage of the funnel is either absent or done too slowly to matter.
What to actually do:
For Search ads: pull your ad variation performance data and identify your top and bottom performing headlines and descriptions by conversion rate, not just CTR. Isolate what’s different about your top performers is it the benefit specificity, the intent match, the urgency signal, the social proof? Build your next round of variants by amplifying those patterns, not by starting from scratch.
For YouTube and Demand Gen: implement Google’s ABCD framework as a creative brief standard. Attention in the first five seconds. Branding that’s clear and early. Connection that creates emotional or rational relevance. Direction with a clear call to action. Score your existing creative against each dimension. The ones scoring lowest are your 1.7X improvement opportunity.
For all formats: establish a creative testing cadence, not just a testing mentality. Commit to launching a minimum of three creative variants per campaign, measuring performance over a defined window, killing the bottom performer, and iterating on the top. Creative testing as a process produces compounding performance improvement. Creative testing as an occasional activity produces noise.
Finding 4: You’re Presenting ROAS to a CFO Who Thinks in NPV, That’s Why Budget Conversations Are Hard
The report’s final and most strategically important recommendation: stop defending marketing spend with ROAS. Start presenting it with Net Present Value.
ROAS is a backward-looking efficiency ratio. It tells finance what revenue was attributed to last period’s spend. Finance professionals are trained to evaluate capital investments with forward-looking metrics: NPV, IRR, payback period. When you walk into a budget meeting with ROAS numbers, you’re asking finance to approve a capital decision using the wrong financial instrument. No wonder it’s a difficult conversation.
NPV calculates the present value of future cash flows generated by an investment, discounted to today’s value. When you model a PPC programme as a capital investment with an NPV output, you’re showing finance that marketing spend creates absolute shareholder wealth, not just short-term revenue recovery. That framing changes everything.
For PPC specifically, the NPV model should include: the customer acquisition cost from paid, the average customer lifetime value, the expected retention rate, and the discount rate. The output is the net present value of the customer base that paid media is building not the revenue attributed in the last 30 days.
What to actually do:
Build a simple LTV-based investment model for your PPC programme. The structure:
CAC from paid (average CPA) → Average Customer LTV (from your CRM or finance team) → LTV:CAC ratio → Projected customer volume from planned investment → NPV of that customer cohort at your company’s discount rate.
Run this model for three scenarios: current investment level, 25% increase, and 50% increase. Show finance the NPV of the customer base produced at each investment level. The question is no longer “is our ROAS good enough?” It’s “which investment level produces the highest NPV, and are we currently at that level?”
That is a capital allocation decision in the language finance is trained to make. And in most cases, the NPV model will show that current investment is below the optimal level, which is the saturation curve finding expressed in financial terms.
The AI Advantage: Where Gemini-Powered Campaigns Change the Calculation
The report is explicit that AI is the key to capturing the effectiveness opportunity it describes. In PPC terms, that means three specific product choices that directly address each finding:
AI Max for Search captures the query breadth that manual campaigns miss, directly addressing the 830% saturation headroom finding. It expands match coverage intelligently, adapts ad copy to query intent in real time, and optimizes toward conversion value rather than conversion volume.
Demand Gen with YouTube captures the synergy opportunity, addressing the 54% ROAS uplift from pairing YouTube with Search. Demand Gen uses Google’s audience intelligence to reach users across YouTube, Gmail, and Discover at the awareness and consideration stage, warming audiences that Search campaigns then convert.
Performance Max captures cross-channel optimization using Google’s AI to allocate budget across Search, YouTube, Display, Shopping, and Maps dynamically, based on where conversion probability is highest at each moment. It’s the operational expression of the synergy principle: budget flowing to the right channel at the right time based on signal, not based on human assumption.
Each of these products is a direct response to one of the effectiveness gaps the research identifies. Running all three in a coordinated structure with shared audience signals, aligned creative briefs, and combined performance measurement is the paid media implementation of the Effectiveness Equation.
The PPC Measurement Model That Finance Will Actually Respect
Summarising the measurement framework change that the research implies for paid media:
Weekly operational metrics: Impression share, Quality Score trends, CTR by ad variant, conversion volume by campaign type, cost per conversion by funnel stage.
Monthly performance metrics: Blended ROAS with channel contribution breakdown, Search lift from YouTube campaigns, creative performance ranking by variant, audience segment performance comparison.
Quarterly strategic metrics: LTV:CAC ratio by acquisition channel, NPV of customer cohort acquired in the period, saturation curve position vs theoretical capacity, synergy capture rate (% of Search conversions with prior YouTube exposure).
Annual investment review: NPV model at three investment scenarios, creative quality benchmark against ABCD framework, channel mix optimisation against saturation curves, AI tool adoption assessment.
Bring the quarterly and annual metrics to every budget conversation. The weekly and monthly metrics are for running the account. The quarterly and annual metrics are for funding it.
The Bottom Line for PPC Teams
Google’s effectiveness research is a precise diagnosis of the paid media industry’s most expensive habits: underinvesting against actual demand capacity, running channels in isolation instead of capturing synergy, leaving creative quality as the biggest untapped lever, and defending budget with the wrong financial metric.
The brands that read this research and act on it will run fundamentally different paid media programmes in 12 months. They’ll have higher investment levels justified by saturation curve and NPV modelling. They’ll capture the 54% ROAS uplift from coordinating Search and YouTube. They’ll have creative testing processes that compound performance improvement quarter over quarter. And they’ll have budget conversations with finance that end in investment decisions rather than defensive negotiations.
The brands that don’t act on it will keep running optimised accounts that are efficiently underperforming their actual potential.
The research tells you exactly where the money is. The only remaining question is whether you go get it.
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