This is the main “average roas by ecommerce industry” view. Use it to answer: Is my ROAS unusually low for my category, or is the whole industry sitting in a tighter range this month?

This is where you compare patterns across channels. Some industries naturally overperform on Google intent traffic, while others rely more on demand generation where ROAS looks different.

ROAS doesn’t exist in a vacuum. Industries have different cost structures such as COGS, shipping and fulfillment, refund rates, and pricing power. When an industry has heavier costs or thinner margins, it often needs higher ROAS to stay healthy. When the margin buffer is stronger, stores can sometimes grow profitably even with lower ROAS. That’s why “good ROAS” looks different across categories.

Channels capture buyers at different moments. Search channels tend to convert existing intent, which can produce more direct purchase behavior. Social channels tend to create demand, which often requires more creative testing and more touchpoints before purchase. Because the journey is different, ROAS patterns can look different even for the same product.

ROAS can vary simply because platforms measure conversions differently. Attribution windows, models, cross-device tracking, and view-through credit can all change the number you see. If you compare Google and Meta ROAS without aligning attribution settings (and checking store analytics), you can easily misread what’s actually happening.

Besides the differences across channels and industries, there are also common tracking issues that can make ROAS inaccurate:

One platform may credit a sale based on a 7-day click window while another uses a different window or model. When those settings aren’t aligned, the comparison becomes misleading, even if performance didn’t change.

Ad platforms usually report revenue at the time of purchase. Refunds often happen later. If your refund rate increases, ROAS may look stable while real outcomes get worse. This is especially common in categories with higher return risk.

A blended store ROAS can look “fine” while certain products or channels are quietly unprofitable. If you sell both high-margin and low-margin items, blended ROAS is often too vague to guide decisions.

P/s: Blended ROAS refers to the overall return on ad spend calculated by dividing total store revenue by total ad spend across all channels.

Broken UTMs, incomplete pixel coverage, or changes in checkout/payment flows can distort ROAS. Another common issue is mixing revenue definitions (gross revenue vs net after discounts/returns). Even small inconsistencies can create big swings when you’re trying to benchmark.