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2 min readUpdated Mar 26, 2026

Free Ad Spend Benchmarking Tool for Beauty and Fashion Brands

See how your ad spend stacks up against the competition. Our free benchmarking tool analyzes data from over 500 Shopify stores to show you how your budget allocation and ROAS compare to industry averages.

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Free Ad Spend Benchmarking Tool for Beauty and Fashion Brands: See how your ad spend stacks up against the competition. Our free benchmarking tool analyzes data from over 500 Shopify stores to show you how your budget allocation and ROAS compare to industry averages.

Read the full article below for detailed insights and actionable strategies.

Attribution by the numbers

Avg ad spend wasted

30%

Meta ROAS inflation

2.3x

Cost to find out

€99

Setup time

2 min

Are You Spending Smarter Than Your Competitors?

In the competitive world of beauty and fashion eCommerce, every marketing euro counts. You are constantly wondering: Am I spending enough? Too much? On the right channels? Without industry benchmarks, you are just guessing. It is time to replace that uncertainty with data.

Our free Ad Spend Benchmarking Tool provides the clarity you need. We have aggregated and anonymized data from over 500 Shopify beauty and fashion brands in the EU to create a powerful benchmarking dataset. In just a few clicks, you can see how your ad spend, channel mix, and key performance metrics compare to your peers. Stop wondering and start knowing.

What You Will Learn

This is not another generic report. Our tool gives you specific, actionable insights into your marketing attribution and spending strategy. You will discover:

Ad Spend to Revenue Ratio: Are you investing a similar percentage of your revenue into advertising as other brands of your size?

Channel Allocation: How does your mix of spend across Google, Facebook, TikTok, and other channels compare to the top-performing brands in your niche?

ROAS Benchmarks: Is your Return on Ad Spend for each channel above or below the industry average? We provide benchmarks for both platform-reported ROAS and incremental ROAS.

Customer Acquisition Cost (CAC) Comparison: How does your cost to acquire a new customer stack up against the competition?

Understanding these benchmarks is the first step toward building a more efficient and profitable marketing engine. For a deeper dive into refining your spend, check out our resources.

Data You Can Trust

The data in our benchmarking tool is sourced directly from the Causality Engine platform, representing over 2 billion EUR in tracked revenue and 200 million EUR in ad spend. All data is anonymized and aggregated to protect the privacy of our customers. We are committed to providing the most accurate and transparent benchmarks in the industry.

Ready to see how you measure up?

Benchmark Your Ad Spend

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Ready to see your real numbers?

Own the budget? Upload your GA4 export and see which channels drive incremental sales, with confidence intervals, in minutes. Have to defend it? Start with the live demo and take the read to your CFO.

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Frequently Asked Questions

Is my individual store data kept private?

Yes, absolutely. Your specific data is never shared. The benchmarking tool uses anonymized and aggregated data from hundreds of stores, so your individual performance metrics are completely confidential.

How often is the benchmark data updated?

Our benchmark data is updated on a quarterly basis to ensure you are getting the most current and relevant insights. The eCommerce landscape changes fast, and we make sure our data keeps up.

Can I see benchmarks for different revenue brackets?

Yes, the tool allows you to filter benchmarks by revenue brackets (e.g., 5M-10M EUR, 10M-20M EUR) so you can compare your performance to brands of a similar size. You can also filter by product category. For more advanced filtering options, please see our [pricing](/pricing) page.

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Find your wasted ad spend in 5–10 minutes.

Watch the model work on a sample store first, no signup. Then upload your last 40–90 days of GA4 sessions and get incremental ROAS with confidence intervals. No pixel, no SDK. €99 per read.

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Last-click guesses.We run the math.

Causal attribution for ecommerce brands. Watch the model work on a sample store first, then upload your GA4 export and see which channels really drove revenue in 5–10 minutes. €99, pay-per-use. Pro at €299/mo when you want it continuous.

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