Databox recommends<\/a> a weekly check: if the platform sum exceeds CRM actuals by more than 10\u201315%, flag it as a tracking-quality problem, not a win.<\/p>\nPut break-even ROAS right beside the actual ROAS.<\/strong> A 3:1 on a 20% margin product is a loss dressed up as a win. The same 3:1 on a 60% margin product is a strong win.<\/p>\nNobody reading your report can tell the difference unless you show the break-even line next to the result. Show it. Every time.<\/p>\n
Do those three things and ROAS goes from a number that gets people nodding along to a number that actually drives good decisions about where your advertising efforts belong. That’s the entire point of measuring anything.<\/p>\n
<\/span>FAQ<\/span><\/h2>\n<\/span>What is a good ROAS?<\/span><\/h3>\nThere isn’t a universal one, and be skeptical of anyone who quotes you a magic figure. A good ROAS is any number comfortably above your break-even ROAS, which you get by dividing 1 by your gross margin.<\/p>\n
At a 40% margin, break-even is 2.5:1, so “good” starts above that. At an 80% margin, you can profit below 1.5:1. For reference, average paid-search ROAS sits around 2.26x, but your margin sets your bar, not the average.<\/p>\n
<\/span>How do you calculate ROAS?<\/span><\/h3>\nDivide the revenue attributed to a campaign by what you spent on that campaign. An $8,000 return on $2,000 of spend is a 4:1 ROAS, or 400%.<\/p>\n
The math is trivial. The accuracy lives entirely in whether that revenue figure reflects real closed sales attributed to the right source, rather than pipeline value or platform-inflated conversion credit.<\/p>\n
<\/span>What is the ROAS formula?<\/span><\/h3>\nRevenue from ads divided by cost of ads. Multiply by 100 for a percentage. That’s it.<\/p>\n
The formula never changes. What changes, and what determines whether the output means anything, is the quality of the two numbers you feed into it.<\/p>\n
<\/span>What is the difference between ROAS and ROI?<\/span><\/h3>\nROAS compares revenue to ad spend only. ROI compares profit to your total investment: ad spend plus product cost, fulfillment, tools, salaries, all of it.<\/p>\n
A campaign can show a strong ROAS and a losing ROI at the same time if your margins are thin. ROAS is a media-efficiency metric; ROI is a business-profitability metric. Don’t let anyone treat them as the same thing.<\/p>\n
<\/span>Why doesn’t my platform-reported ROAS match my actual revenue?<\/span><\/h3>\nBecause platforms grade their own homework. Overlapping attribution windows let two or three platforms claim the same sale. View-through conversions credit ads people only glanced at. Together they routinely inflate platform-claimed conversions by 30\u201350% over reality.<\/p>\n
On top of that, offline or delayed sales that close in your CRM never make it back into the ad platform at all. Blended ROAS, measured independently in GA4 or your CRM, is almost always the more honest number.<\/p>\n
<\/span>Can ROAS be too high?<\/span><\/h3>\nCounterintuitively, yes. A very high ROAS on a small budget can mean you’re underspending and leaving scale on the table, not that you’ve achieved perfect efficiency.<\/p>\n
If a campaign is returning 12:1, that’s often a signal to test a bigger budget rather than a ceiling to protect. Efficiency and total profit aren’t the same goal, and maximizing the ratio sometimes means minimizing the money you actually make.<\/p>\n","protected":false},"excerpt":{"rendered":"
ROAS (Return on Ad Spend) is the revenue you earn for every dollar spent on advertising, written as a ratio. You calculate it by dividing ad revenue by ad spend. A 4:1 ROAS means four dollars back for every dollar in. The catch: the number is only as honest as the attribution data behind it….<\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"yst_prominent_words":[228,592,407],"_links":{"self":[{"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/posts\/1738"}],"collection":[{"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/comments?post=1738"}],"version-history":[{"count":1,"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/posts\/1738\/revisions"}],"predecessor-version":[{"id":1746,"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/posts\/1738\/revisions\/1746"}],"wp:attachment":[{"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/media?parent=1738"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/categories?post=1738"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/tags?post=1738"},{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/gaconnector.com\/blog\/wp-json\/wp\/v2\/yst_prominent_words?post=1738"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}