Digital Marketers
Use this calculator to benchmark performance, allocate budget, and brief stakeholders with a clear, shared metric.
Return on ad spend and campaign ROI.
4.00x
300.0%
Return on Ad Spend (ROAS) measures how much revenue you generate for each dollar of advertising spend. It is a primary paid-media efficiency metric — complementary to ROI, which subtracts cost first.
Shows which campaigns deserve more spend.
A clear efficiency readout for experiments.
Pairs with contribution margin to set break-even floors.
Communicates paid performance simply.
Rising spend with falling ROAS is a warning.
ROAS = Ad revenue ÷ Ad spend · ROI = (Revenue − Spend) ÷ Spend × 100
Divide revenue attributed to ads by ad spend. ROI uses (revenue − spend) ÷ spend. Be explicit about attribution windows and revenue definitions.
Last-click vs data-driven changes reported ROAS.
Weak conversion caps return even with cheap clicks.
Broad targeting can inflate spend without revenue.
Decaying ads reduce efficiency over time.
Demand swings move ROAS independent of media quality.
High ROAS can still lose money with thin margins.
A ROAS calculator converts attributed revenue and ad spend into ROAS and ROI so media teams can evaluate campaign efficiency.
See ROAS and ROI as inputs change.
Standardize math across platforms.
Compare results to break-even ROAS.
Skip spreadsheet setup for a first pass.
Pause, scale, or fix campaigns with clearer evidence.
Use revenue attributed to the campaign or channel.
Use media cost for the same window.
Interpret the multiple (e.g. 3.5×).
Review profit percentage alongside ROAS.
A good ROAS depends on contribution margin. A 3× ROAS may be excellent for high-margin software and unprofitable for low-margin retail. Set targets from break-even ROAS, then add overhead and profit requirements.
Use this calculator to benchmark performance, allocate budget, and brief stakeholders with a clear, shared metric.
Get a fast read on unit economics or channel efficiency without waiting on a spreadsheet rebuild.
Standardize reporting across clients and campaigns, and turn calculations into optimization recommendations.
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