Clothing Industry Ad Benchmarks: What 100M+ eCommerce Orders Reveal About Google vs. Meta

Last week, I opened a dashboard that made me stop in my tracks.

After analyzing more than 100 million eCommerce orders from clothing stores running ads through AdScale, a clear and unexpected story emerged. If you’re selling apparel online, this data offers valuable insight into how advertising budgets are being allocated today and what’s driving results.

Let’s break it down.

The Average Order Value Benchmark for Clothing eCommerce

Here’s what every clothing brand owner wants to understand:

What’s a customer actually worth?

Across the clothing industry, the average order value (AOV) is $109.29. This figure acts as a baseline for evaluating paid media performance. It influences how much you can spend to acquire a customer, how aggressively you can scale, and how much margin remains for growth initiatives.

And this is where the comparison between platforms becomes meaningful.

Google Ads vs. Meta Ads Benchmarks for the Clothing Industry

When we compared Google Ads and Meta Ads performance, the difference was hard to ignore.

The benchmarks below are based on Google non-brand campaign performance and Meta advertising data from clothing and apparel retailers using AdScale.

Google Ads Non-Brand Performance Benchmarks:

• Cost Per Acquisition (CPA): $19.41
• Cost Per Click (CPC): $0.39
• Click-Through Rate (CTR): 2.67%
• Conversion Rate (CVR): 2.01%
• Return on Ad Spend (ROAS): 563%

Meta Ads Performance Benchmarks for Clothing Brands:

• Cost Per Acquisition (CPA): $11.13
• Cost Per Click (CPC): $0.28
• Click-Through Rate (CTR): 2.48%
• Conversion Rate (CVR): 2.52%
• Return on Ad Spend (ROAS): 982%

In this dataset, Meta campaigns show nearly double the average return on ad spend compared to Google non-brand campaigns.

Why These Clothing Industry Ad Benchmarks Matter

Many clothing eCommerce businesses rely heavily on Google Shopping and Search campaigns, and for good reason. Search traffic captures users with clear intent and often strong purchase signals.

However, the data highlights an important contrast.

In our analysis, Meta campaigns showed a 43% lower average cost per acquisition compared to Google non-brand campaigns, while also converting at a higher rate.

For advertisers managing meaningful monthly budgets, differences like this can have a real impact on overall efficiency and margin.

What the Data Suggests About Google vs. Meta for Clothing Advertising

One possible explanation lies in how each platform engages shoppers.

Fashion is highly visual and often impulse-driven. Meta platforms are designed around discovery, inspiration, and lifestyle context. Ads appear alongside content users are already engaging with, which can encourage faster, emotion-driven decisions.

Google, on the other hand, is highly effective at capturing existing demand. Users arrive with intent, but competition for those searches can drive up costs.

In this dataset:

• Meta shows a lower average CPC ($0.28 vs. $0.39)
• Meta shows a higher conversion rate (2.52% vs. 2.01%)

Together, those factors help explain the lower CPA observed on Meta for apparel advertisers.

How Clothing eCommerce Brands Can Use These Ad Benchmarks

If you are currently:

• Allocating the majority of your budget to Google
• Seeing stable but plateauing ROAS
• Struggling to scale Meta profitably

Benchmark data like this can help inform where adjustments may be worth testing.

High-performing advertisers in this dataset are not choosing one platform exclusively. They tend to use Google to capture high-intent demand while leveraging Meta for discovery and visual storytelling, adjusting budget allocation based on performance rather than assumptions.

Margin Impact Based on Clothing eCommerce Ad Benchmarks

Using the average AOV of $109.29:

• A $11.13 CPA leaves $98.16 per order before other costs
• A $19.41 CPA leaves $89.88 per order

That difference of $8.28 per order can meaningfully affect flexibility in creative testing, inventory planning, and growth initiatives. At scale, these efficiency gains add up quickly, although actual outcomes will vary by business.

Final Takeaways from Clothing Industry Ad Benchmarks

This analysis is not about declaring one platform universally better than another. Instead, it highlights how different channels perform under similar conditions and how advertisers can use benchmark data to guide smarter allocation decisions.

Many advertisers use insights like these to continuously test, rebalance, and refine their strategies as market conditions change.

Methodology and Data Sources

This analysis is based on aggregated performance data from over 100 million eCommerce orders processed via AdScale. Benchmarks reflect average results across clothing and apparel retailers using AdScale, with Google metrics focused specifically on non-brand campaigns.

Results are directional and intended for benchmarking purposes only. Actual performance may vary based on factors such as product mix, pricing, creative, audience targeting, seasonality, and budget allocation. Benchmarks reflect historical averages and are not predictive of future performance.