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Google Ads ROAS and AOV Benchmarks

Track ROAS and AOV dynamics in Google Ads for the Ecommerce and Retail verticals across Europe.

Last Updated: November 2, 2026
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Looking at the most recent weekly data, the median ROAS currently sits at 5.6, compared to 5.4 at this time last year, while the Average Order Value is tracking at 96 versus 86 previously.

EXECUTIVE SUMMARY

Advertising profitability is exceptionally strong, with current median ROAS consistently outperforming the previous year and peaking near 7. Conversely, consumer purchasing power shows a cooling trajectory. Although AOV peaked over 100 early in the year, recent cart sizes shrank to align with last year’s averages, indicating expanding advertiser margins despite stabilizing consumer spend.

Macro-Trend Analysis: ROAS & AOV

Overall Trajectory & YoY Gaps

  • Profitability Surge: Current year ROAS consistently outperforms the previous year from October through May. The profitability gap widened most significantly during the holiday peak (December) and late Q1 (February/March).
  • Spending Power Shift: AOV mirrors this early strength, staying elevated YoY through May. However, the gap abruptly narrows and inverts during the summer (June–August), signaling a distinct cooling in consumer willingness to spend.

Metric Divergence: CAC vs. Pricing Power

  • The Summer Anomaly: Between June and August, AOV drops below the previous year, yet ROAS remains higher.
  • Strategic Implication: This divergence reveals that while retailers lost pricing power (consumers buying smaller baskets or trading down), Customer Acquisition Costs (CAC) improved significantly. Advertisers maintained profitability not through larger carts, but through highly efficient, lower-cost conversions that offset shrinking basket sizes.

External Drivers & Market Forces

  • Algorithmic Efficiency: The sustained ROAS growth, even when AOV dips, points heavily to the maturation of AI-driven campaign types (e.g., Performance Max) and widespread adoption of Value-Based Bidding (VBB). These systems are successfully identifying high-probability converters at lower CPCs to protect margins.
  • Macroeconomic Caution: The Q1 AOV spike reflects peak inflationary pricing and lingering holiday momentum. Conversely, the summer AOV contraction indicates consumer economic fatigue. As shoppers became more price-sensitive and cautious, retailers were forced to rely on algorithmic bidding efficiency rather than premium pricing or volume to sustain their ROAS.

ROAS and Average Order Value for PMax, Standard Shopping and Search campaigns

Average ROAS and AOV for retailers accross Europe

ROAS and AOV for Performance Max   

ROAS and AOV for Standard Shopping  

ROAS and AOV for Search campaigns  

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