By Basiran 
In the hyper-competitive landscape of European digital retail, the rules of engagement for Google Ads are shifting—and for many brands, the trend is moving in the wrong direction. A comprehensive new report from Dutch eCommerce feed management powerhouse Channable paints a sobering picture: while advertising costs are climbing, the efficiency of that spend is plummeting.
For digital marketers and eCommerce executives, the message is clear. The era of "set it and forget it" Google Ads campaigns is over. As costs-per-click (CPC) rise and return on ad spend (ROAS) dips, brands are being forced to re-evaluate their entire approach to digital infrastructure.
The State of the Market: A $1.38 Billion Analysis
The eCommerce Google Ads Benchmark report, released by Channable, offers a rare, data-driven look at the health of the European advertising ecosystem. By analyzing a staggering 1.38 billion euros in verified ad spend across more than 10,000 European advertisers, the report provides an empirical baseline against which brands can measure their own performance.
The data covers the period between June 2024 and June 2025, capturing a full cycle of retail activity. The headline figures are stark: across all campaign types—including the increasingly dominant Performance Max (PMax) and Standard Shopping—the cost-per-click (CPC) has surged by 15 percent year-on-year. In absolute terms, this represents a 0.06 euro increase per click. While that figure might appear negligible in isolation, when scaled across millions of impressions and thousands of advertisers, it translates into a massive erosion of profit margins.
Chronology of the Shift: From Growth to Margin Compression
To understand how we arrived at this point, it is necessary to look at the progression of market dynamics over the past twelve months.
The First Half: Stable Costs, Emerging Volatility
The early months of the study period showed the lingering effects of market saturation. As brands transitioned from legacy campaigns to Google’s automated Performance Max solutions, initial expectations for efficiency were high. However, the data shows that the "automation dividend"—the promise that AI would lower costs while increasing conversions—began to wane as competition for prime search real estate intensified.
The Q4 Surge: The Holiday Trap
The data highlights a significant discrepancy between the first and fourth quarters of the year. When aggregating all Google Ads channels, CPC was 9.1 percent higher in Q4 compared to Q1. This seasonality is expected, but the magnitude of the total ad spend shift is alarming: total advertising investment was 47.9 percent higher in Q4 than in the first quarter. This indicates a "bidding war" environment, where retailers are forced to inflate their budgets simply to maintain visibility during Cyber Week, Black Friday, and the holiday season.
Supporting Data: The Anatomy of the ROAS Decline
The most alarming metric within the report is the contraction of Return on Ad Spend (ROAS). For retailers, ROAS is the primary heartbeat of their marketing efficacy. The Channable benchmark reveals a dual-threat impact:
- Standard Shopping Campaigns: These saw an average ROAS decrease of 43 percent.
- Performance Max Campaigns: These fared even worse, with an average ROAS decrease of 46 percent.
This decline is not solely attributable to the 15 percent increase in CPC. The report identifies a secondary, equally damaging factor: a decrease in conversion rates. Specifically, conversion rates on Performance Max campaigns dropped by 0.11 percent.
When a brand pays 15 percent more for a click, and that click is 0.11 percent less likely to result in a sale, the mathematical result is a massive, double-digit decline in profitability. This "scissor effect"—rising acquisition costs meeting falling conversion effectiveness—is the primary driver behind the current crisis of confidence among eCommerce performance managers.
Official Responses: Moving from "Budget Line" to "Data Infrastructure"
The industry’s reaction to these findings has been one of calculated concern. Stefan Hospes, Co-founder and Chief Product Officer at Channable, argues that the problem lies not with Google’s platform, but with the management philosophy of the brands using it.
"The brands feeling this most acutely treated Google Ads as a budget line when they should have approached it as key data infrastructure," Hospes remarked in the report.
Hospes suggests that many retailers are essentially paying a "laziness tax." If a brand is bidding on the same listings today as they were a year ago, they are essentially bidding against a more sophisticated, AI-driven market with static, unoptimized assets. He highlights three pillars of defense for retailers:
- Feed Optimization: Ensuring that product data is clean, rich, and tailored to the platform.
- Strategic Budgeting: Moving away from flat, year-round spending toward high-intensity, structured Q4 models.
- Data Integration: Ensuring that internal product data is "working as hard as your campaigns."
Implications: The Future of eCommerce Advertising
The implications of this benchmark are far-reaching. As Google continues to push automated, "black-box" solutions like Performance Max, the ability for human marketers to manually adjust bids is being replaced by the need to curate the data that feeds the AI.
The Death of the Generic Approach
For years, the industry relied on increasing spend to capture market share. That model is now officially broken. With a 40-plus percent drop in ROAS, the margin for error has evaporated. Retailers who do not implement rigorous feed management and data-driven product strategies will likely find themselves effectively subsidizing the profit margins of their competitors.
The Rise of the "Data-First" Retailer
The competitive advantage of the future will not be found in the bidding console, but in the backend. Retailers who successfully integrate their inventory management, pricing algorithms, and product feeds with their Google Ads architecture will be the only ones capable of maintaining profitability. As CPCs continue to rise—driven by higher advertiser demand and limited search inventory—efficiency will become the primary competitive moat.
Preparing for the Q4 Crunch
The 47.9 percent increase in Q4 spending serves as a warning. Brands must begin their Q4 planning cycles significantly earlier, not just in terms of budget allocation, but in terms of inventory health. If a product is not "search-ready" (i.e., lacking proper metadata or having suboptimal pricing), pouring money into a Performance Max campaign during the holiday season is effectively burning capital.
Conclusion: A Call to Action
The Channable benchmark serves as a wake-up call for the European eCommerce sector. The days of easy growth through Google Ads are behind us. The market has become more expensive, more automated, and more demanding.
However, for those willing to shift their mindset—from viewing Google Ads as a simple advertising expense to viewing it as a complex, data-driven infrastructure—there is still opportunity. By optimizing product data, structuring campaigns around seasonal trends, and accepting that the platform requires constant, active curation, brands can navigate this period of compression.
The bottom line is inescapable: if you are spending 15 percent more for the same result, you are losing. To win in this new environment, you must ensure that your data is working as hard as your budget. The benchmark proves that the market is no longer forgiving of inefficiency; the era of data-driven performance is here to stay.
Ali Ikhwan 
Pevita Pearce 
Lina Hope 