What Is a Good ROAS? Benchmarks by Industry, Platform, and Ad Type
What counts as a good ROAS for ecommerce depends on your margin, platform, and funnel stage; here are typical benchmarks and how to set the target that fits you.

Asking "what is a good ROAS?" without context is like asking "what is a good salary?" The answer depends on many variables. A 2x return might be excellent for one business and a disaster for another.
This guide lays out return-on-ad-spend benchmarks across industries, platforms, and ad types so you can compare against relevant reference points, and more importantly, shows you how to calculate the target that actually matters for your business.
Treat the numbers below as directional aggregates drawn from industry and platform reporting, not guarantees. Your own product, price point, and creative move you around within these ranges.
What ROAS measures, and what it does not
Return on ad spend measures how much revenue your ads generate for every dollar spent.
ROAS = revenue from ads divided by cost of ads.
A 4x ROAS means you earn $4 in revenue for every $1 spent. It is the same as 400 percent.
What ROAS does not tell you:
- Profitability. Revenue is not profit. A high return on a low-margin product can be barely profitable after cost of goods, shipping, and overhead, while a lower return on a high-margin product can be very profitable.
- True attribution. Platform-reported ROAS is almost always inflated. Meta and Google can both claim credit for the same conversion, so your real number is lower than any single platform reports.
- Long-term value. ROAS measures the immediate return on the first purchase. A customer acquired at a low return who buys repeatedly over the year can be extremely profitable, and ROAS alone will not show it.
ROAS benchmarks by industry
Returns vary across niches because margins, price points, and buying behavior differ. Typical ranges, with where strong performers land and roughly where breakeven sits:
- Apparel and fashion. Commonly 3x to 4x, strong performers above 5x, margins often 55 percent to 65 percent, breakeven near 1.5x to 1.8x.
- Beauty and skincare. Commonly 4x to 5x, strong performers above 7x, margins often 65 percent to 80 percent, breakeven near 1.25x to 1.5x.
- Electronics and tech. Commonly 5x to 8x, strong performers above 10x, margins often 20 percent to 35 percent, breakeven near 2.9x to 5x.
- Home and garden. Commonly 3x to 5x, margins often 45 percent to 60 percent, breakeven near 1.7x to 2.2x.
- Health and supplements. Commonly 3.5x to 5x, margins often 60 percent to 75 percent, breakeven near 1.3x to 1.7x.
- Jewelry and accessories. Commonly 3x to 4.5x, margins often 60 percent to 75 percent, breakeven near 1.3x to 1.7x.
- Sports and outdoors. Commonly 3x to 4.5x, margins often 40 percent to 55 percent, breakeven near 1.8x to 2.5x.
- Pet products. Commonly 3.5x to 5x, margins often 50 percent to 65 percent, breakeven near 1.5x to 2x.
- Food and beverages (DTC). Commonly 2.5x to 4x, margins often 40 percent to 60 percent, breakeven near 1.7x to 2.5x.
- Toys and games. Commonly 3.5x to 5x, margins often 45 percent to 60 percent, breakeven near 1.7x to 2.2x.
Electronics carries the highest average return not because it is easier to sell, but because it needs it. With margins around 20 percent to 35 percent, these products require a 5x to 8x return just to be profitable, while a beauty brand with much higher margins can thrive at 3x. Always read your return against your own margins, not against another industry.
ROAS benchmarks by advertising platform
Each platform delivers different returns because they reach buyers at different stages of the journey. Typical blended ranges:
- Google Search, branded. Very high, often 8x to 15x, because people searching your brand name have high intent.
- Google Search, non-branded. Often 5x to 8x on high-intent product and category searches.
- Google Shopping. Often 4x to 6x, visual product listings in search results.
- Google Performance Max. Often 3x to 6x, AI-managed across all Google placements.
- Meta (Facebook and Instagram). Often 3x to 5x, blended across prospecting and retargeting.
- Meta Advantage+ Shopping. Often 3.5x to 5.5x, AI-optimized for ecommerce.
- TikTok ads. Often 2x to 4x, lower intent and cheaper impressions, younger audience.
- Pinterest ads. Often 2x to 4x, strong for home, fashion, weddings, and DIY.
- YouTube ads. Often 2x to 4x, video-first and good for demonstration products.
- Snapchat ads. Often 1.5x to 3x, very young audience and lower conversion rates.
These are platform-reported numbers, which tend to be inflated by attribution overlap. Your blended return, total revenue divided by total ad spend across every platform, is the more honest metric.
ROAS benchmarks by ad type and funnel stage
Returns vary enormously between cold prospecting and warm retargeting. Comparing one to the other leads to bad decisions.
- Retargeting, checkout abandoners. Highest intent, often 8x to 15x, since these people almost bought.
- Retargeting, cart abandoners. High intent, often 6x to 12x.
- Retargeting, product viewers. Moderate intent, often 4x to 8x.
- Retargeting, engagers. Often 3x to 6x, engaged with content but not yet on the site.
- Prospecting, one percent lookalike. Often 2.5x to 4x, closest match to your best customers.
- Prospecting, broad or Advantage+. Often 2x to 3.5x, the algorithm finds buyers when creative is strong.
- Prospecting, interest-based. Often 1.5x to 3x, less efficient than the algorithm.
- Awareness and branding. Often 0.5x to 2x, not expected to be directly profitable; it feeds retargeting.
A common mistake is seeing a high retargeting return and shifting all budget there. But retargeting audiences are small and finite, and they depend on prospecting to keep filling the funnel. Cut prospecting and your retargeting pool shrinks, so overall revenue drops even while retargeting return stays high. Always judge the blended number across the whole funnel.
How to calculate your specific ROAS target
Benchmarks give context, but your target should come from your own economics.
- Calculate your contribution margin. Revenue minus cost of goods, shipping, payment processing, and other variable costs, divided by revenue.
- Calculate your breakeven return. One divided by your contribution margin. Below this, you lose money on every sale.
- Set your target return. Breakeven plus a profit buffer, commonly 30 percent to 50 percent above breakeven.
- Adjust for lifetime value. If customers buy repeatedly, divide your breakeven by the average number of purchases. This is how brands can acquire at a first-order loss and still profit over time.
Sell a product for $80. Cost of goods $20, shipping $8, payment processing about $2.80, other variable costs $4.
Contribution margin: ($80 minus $34.80) divided by $80, about 56.5 percent.
Breakeven return: 1 divided by 0.565, about 1.77x.
Target return: 1.77x times 1.4, about 2.5x.
If the average customer makes 2.5 purchases over a year, the effective breakeven drops well below 1x on the first order.
Illustrative only. Not real store data.
A "good" return is simply one that clears your breakeven by enough to make real profit. Everything else is context.
When low ROAS is acceptable, and even smart
Not every campaign needs a high return. In several cases, accepting a lower one is the correct call.
- Acquiring customers with high lifetime value. Subscription and consumable businesses can afford a low first-purchase return because the customer buys again. Some well-known DTC brands, like Dollar Shave Club and Glossier, famously acquired customers at a loss knowing repeat revenue would make it profitable.
- Product launches. A new product needs to train the algorithm and build awareness, so expect lower returns for the first month or two. That is an investment, not a permanent state.
- Market expansion. Entering a new geography or segment starts with lower returns because you have no brand recognition or pixel data there. Plan for a ramp-up period.
- Brand-building campaigns. Top-of-funnel awareness may show a low direct return but feeds retargeting and drives branded search that converts elsewhere. Judge it by its impact on the blended number.
- Seasonal inventory clearance. When you need to move excess stock, a low return beats storing or liquidating at wholesale. The goal is cash recovery, not profit maximization.
How to interpret your ROAS numbers
When you look at your data, here is how to diagnose what it means and what to do.
- Well above target (for example, 6x when your target is 4x). You are under-spending and leaving money on the table. Increase budget gradually, around 15 percent to 20 percent a week, until the return settles near your target.
- At target. You are in the sweet spot. Maintain performance, scale gradually, and invest in creative testing to find new winners.
- Below target but above breakeven. You are making money but missing your profit goal. Cut underperforming creative, refresh fatigued audiences, and improve landing pages. Optimize methodically, do not panic.
- Below breakeven. You are losing money on every sale. Pause the weakest campaigns, audit your tracking, review pricing and margins, and check landing-page conversion before resuming spend.
ROAS trends to watch in 2026
- AI-optimized campaigns are raising the floor. Advantage+ Shopping and Performance Max make it harder to run terrible campaigns, but also harder to win on targeting alone. Creative quality is now the main differentiator.
- Impression costs are rising. More advertisers and more AI-driven demand push up the cost per thousand impressions, which pressures returns for anyone who does not keep improving creative and conversion rates.
- First-party data is increasingly valuable. As third-party cookies fade, sellers with strong email lists and customer data build better lookalikes and retargeting segments, which gives them a real edge.
- Cross-platform attribution is improving. Unifying reporting across Meta, Google, TikTok, and email makes the true blended return easier to see, and centralizing that view is exactly what an AI operating system is designed to help with. What is live today from StoreWiz is the free store audit; the autonomous platform is in active development.
Key takeaways
- A good return is one that clears your breakeven (one divided by contribution margin) by enough to make meaningful profit. Benchmarks are context, not targets.
- Typical industry ranges: apparel 3x to 4x, beauty 4x to 5x, electronics 5x to 8x, home 3x to 5x, health and supplements 3.5x to 5x.
- Typical platform ranges: Google Search 5x to 8x, Google Shopping 4x to 6x, Meta 3x to 5x, TikTok 2x to 4x, branded search 8x to 15x.
- Never compare retargeting returns to prospecting returns; they serve different roles in the funnel.
- A low return is acceptable when acquiring high-lifetime-value customers, launching products, or building awareness.
- Track the blended return across all platforms as your primary health metric; platform-reported numbers are always inflated.
- Your target return should rise as your margins fall.
Frequently asked questions
Is a 2x ROAS good? It depends entirely on your margins. For a high-margin beauty brand, 2x can be comfortably profitable; for a low-margin electronics seller, 2x can lose money once cost of goods and ad spend are counted. Calculate your breakeven first.
Why is my ROAS different from industry reports? Benchmarks blend high and low performers, established brands and startups, and different markets. Your number reflects your specific product, price, creative, landing page, and targeting. Use benchmarks as directional reference points; if you are within about 30 percent of the averages, you are in a normal range.
Should I focus on ROAS or total profit? Total profit wins. A moderate return on a large budget can generate far more total profit than a high return on a tiny budget. Use return on ad spend to judge efficiency, but make budget decisions on marginal profit at each spend level.
How do I improve ROAS without cutting spend? Pull three levers: improve landing-page conversion rate, raise average order value with bundles and free-shipping thresholds, and test better creative to lower cost per acquisition. Together these can lift your return meaningfully without touching the ad budget.