ROAS
Last updated September 2026
Return on ad spend (ROAS) measures revenue generated for every dollar spent on advertising, expressed as a ratio like 4:1 or a percentage like 400%. It's the primary profitability metric for ecommerce and revenue-driven paid campaigns, where the value of a conversion is known and can be tied directly back to spend.
The formula is revenue divided by ad spend. A campaign that spends 1,000 dollars and generates 4,000 dollars in tracked revenue is running at a 4x ROAS.
01
ROAS versus ROI, not interchangeable
ROAS looks only at revenue against ad spend. ROI factors in total cost, including margin, overhead, and fulfillment. A campaign can show a strong ROAS and still be unprofitable once real cost of goods is factored in, so ROAS is a media-efficiency metric, not a profitability metric on its own.
02
What a good ROAS depends on
Margin structure, entirely. A low-margin category might need a high multiple just to break even after cost of goods, shipping, and overhead; a high-margin service business can be profitable at a much lower multiple. Benchmarking ROAS against another industry's number is close to meaningless.
03
Where ROAS breaks down as a metric
That last point is where a lot of reported ROAS quietly understates real performance for service businesses: phone calls and in-store visits driven by an ad often go untracked. Conduit's Conversion Clarity integration, part of the GPS setup, exists specifically to close that gap so a client's ROAS reporting reflects revenue the ad actually drove, not just the revenue that happened to convert on-site. ROAS becomes a genuinely misleading metric the moment offline revenue, calls, in-store visits, deals closed after the fact, are not captured, which is why a platform-reported ROAS and a client's actual return can tell two different stories. A client fixated on a single ROAS number often needs to be walked through blended ROAS across the full account, since one strong campaign can mask several quietly unprofitable ones, a distortion multi-touch attribution is built to catch.
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Multi-touch buyer journeys where the ad platform only sees the last touch and cannot credit assisted influence properly
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Subscription or recurring-revenue businesses where first-purchase ROAS understates lifetime value
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Offline or phone conversions that never get tied back to the ad spend that produced them unless tracking is built to catch them





