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It is perhaps the most frequently asked question in digital marketing, and for good reason. Marketers are under constant pressure to justify their budgets and prove their value.
Jamayal Tanweer
Brand Growth & Conversion Strategy Advisor
Last Updated
October 10, 2025
"What is a good ROAS?"
It is perhaps the most frequently asked question in digital marketing, and for good reason. Marketers are under constant pressure to justify their budgets and prove their value. Industry benchmarks seem to offer a straightforward answer, a simple number to aim for that signals success.
However, relying solely on generic benchmarks is like navigating a ship using only a star chart from a different ocean. It provides a general direction, but it ignores the local currents, weather, and the specific capabilities of your own vessel. A benchmark can be a useful compass, but it is not a map to your unique destination of profitability.
The truth is, a "good" ROAS is highly contextual. It is influenced by your industry, profit margins, business model, and the very channels you advertise on. Furthermore, most published benchmarks are built on the same flawed, incomplete data that plagues the digital advertising ecosystem an issue we explore in-depth in our main ROAS Optimization: Maximizing Return on Ad Spend Across All Channels guide making them a shaky foundation for critical business decisions.
This guide will provide you with the latest industry and platform ROAS benchmarks, but more importantly, it will teach you how to use them correctly. We will show you how to calculate the single most important benchmark your own break even point and explore how data integrity is the key to transforming benchmarks from a source of anxiety into a tool for strategic advantage.
Before we look at a single number, we must establish the golden rule: ROAS benchmarks are meaningless without context. A 3:1 ROAS might be phenomenal for a high margin SaaS company but disastrous for a low margin ecommerce retailer.
Several key factors determine what a healthy ROAS looks like for your specific business:
Instead of starting with external benchmarks, begin with your own internal truth: your break even point. Your Break-Even ROAS is the point at which your advertising efforts are paying for themselves, but not yet generating a profit. Any ROAS above this number is profit.
The Break-Even ROAS Formula
The formula is surprisingly simple and is based on your profit margin.
Break-Even ROAS = 1 / Profit Margin
Your profit margin is the percentage of revenue that is left after accounting for the cost of goods sold (COGS) and any other variable costs associated with producing or delivering your product.
Profit Margin = (Revenue - COGS) / Revenue
Let's walk through two distinct examples.
Example 1: The High Margin SaaS Company
A software company sells a subscription for $200 per month. Their only significant variable cost is for server usage and third party integrations, which amounts to $40 per customer per month.
($200 - $40) / $200 = $160 / $200 = 0.80 or 80%
1 / 0.80 = 1.25
This means the SaaS company needs to achieve a ROAS of just 1.25:1 to break even on their ad spend. A 3:1 ROAS would be wildly profitable for them.
Example 2: The Lower Margin Ecommerce Business
An ecommerce store sells a physical product for $100.
($100 - $75) / $100 = $25 / $100 = 0.25 or 25%
1 / 0.25 = 4
This ecommerce business needs to achieve a 4:1 ROAS just to cover its costs and break even. A 3:1 ROAS, which was highly profitable for the SaaS company, would be losing them money on every sale.
Business Type | Profit Margin | Break-Even ROAS | Target ROAS (for Profit) |
---|---|---|---|
High-Margin SaaS | 80% | 1.25:1 | 2:1 to 4:1+ |
Low-Margin Ecommerce | 25% | 4:1 | 5:1 to 8:1+ |
Knowing your Break-Even ROAS is empowering. It becomes your internal benchmark, your true North Star, against which all external benchmarks can be judged.
With the crucial context of your own break even point established, we can now explore general industry benchmarks.
Disclaimer: These numbers are averages compiled from various industry reports. They are influenced by countless variables and, as we will discuss, are based on potentially flawed data. Use them as a directional compass, not an absolute map.
Industry | Average ROAS (General) | Key Considerations & Context |
---|---|---|
Retail & Ecommerce | 4:1 to 6:1 | Varies wildly. High-end fashion with large margins can accept a lower ROAS. Dropshippers with thin margins need a very high ROAS (8:1+). |
B2B / SaaS | 3:1 to 5:1 | The initial ROAS can seem low. The true return is measured in Customer Lifetime Value (CLV). A 2:1 ROAS on a lead that becomes a $100k/year client is exceptional. |
Finance & Insurance | 6:1 to 9:1 | High competition and click costs, but also very high customer lifetime value (e.g., mortgages, insurance policies). Trust and authority are key. |
Healthcare | 3:1 to 4:1 | Highly regulated advertising landscape. Focus is often on lead generation (appointments) rather than direct sales. Patient value can be very high over time. |
Legal | 5:1 to 7:1 | Extremely high cost per click, especially for competitive practice areas like personal injury. However, the value of a single case can be enormous, justifying the high ad spend. |
Real Estate | 7:1 to 10:1+ | Similar to legal, ad costs can be high, but the commission from a single transaction (sale or rental) is substantial, leading to a high potential ROAS. |
Travel & Hospitality | 4:1 to 6:1 | Highly seasonal and competitive. Margins can be thin. ROAS is often impacted by brand loyalty and direct bookings vs. relying on third party aggregators. |
The platform where you run your ads has a massive impact on your expected ROAS, largely due to user intent.
Platform | Average ROAS | Strengths & Considerations |
---|---|---|
Google Search | 5:1 to 8:1 | High Intent. Users are actively searching for a solution. Branded search terms often yield the highest ROAS (10:1+). Non-brand terms are more competitive. |
Google Shopping | 4:1 to 7:1 | High Commercial Intent. Users are visually comparing products to buy. Highly effective for ecommerce, but requires an optimized product feed. |
Meta (Facebook/Insta) | 3:1 to 5:1 | Discovery & Demand Generation. ROAS can be lower on prospecting campaigns but is crucial for filling the funnel. Retargeting campaigns on Meta often have very high ROAS (8:1+). |
LinkedIn Ads | 2:1 to 4:1 | B2B Targeting. CPCs are the highest, so initial ROAS is often the lowest. Success is measured by lead quality and downstream revenue, not immediate sales. |
Amazon Ads | 3:1 to 6:1 | Point of Purchase. Users are on the platform with the explicit intent to buy. ROAS is critical for product ranking and visibility on Amazon's search results. |
A smart strategy involves using these platforms together. You might use Meta to introduce a user to your brand (low initial ROAS), and then capture their high intent purchase on Google Search (high ROAS). As our main guide on ROAS Optimization: Maximizing Return on Ad Spend Across All Channels explains, a cross channel attribution black hole can prevent you from seeing this synergy.
Now for the most important caveat of all. What if the benchmarks themselves, and your own data you are comparing against them, are built on a lie?
"The goal is to have a furious debate about the data, and the methodology, and the assumptions... Data is not a puke-it-out-and-you-are-done process." - Avinash Kaushik, Digital Marketing Evangelist
Kaushik's point is that data requires rigorous scrutiny. The "Garbage In, Garbage Out" crisis, caused by ad blockers, tracking prevention, and bot traffic, pollutes the entire ecosystem, making a true "apples to apples" comparison impossible.
Problem 1: Your Revenue is Under-reported
When a user on Safari (with ITP) or Chrome (with an ad blocker) clicks your ad and converts, the tracking pixel often fails to fire. That revenue is never attributed to your campaign.
Problem 2: Your Costs are Inflated
Sophisticated bots click your ads, draining your budget on traffic that will never convert. This fraudulent activity inflates the "Cost" side of your ROAS equation.
This is where a data integrity platform becomes essential. By implementing a first party analytics solution like DataCops, you solve both problems simultaneously.
Only when you have your True ROAS (based on complete, clean data) can you meaningfully compare it to industry benchmarks and make confident strategic decisions.
Industry ROAS benchmarks are not a finish line; they are a starting point. They provide a valuable sense of direction but should never be followed blindly.
Your path to profitability begins with looking inward, not outward.
Stop chasing generic numbers. Start by understanding your own profitability, scrutinizing your data, and using benchmarks as what they are meant to be: one tool of many in your journey toward sustainable, profitable growth.