ROAS Calculator
Your real ROAS in 5 minutes.
Paste 3 months of Meta + Google spend and revenue. We show you what last-click attribution claims alongside a directional cross-channel estimate, so you can see the gap between them — with a directional range around the cross-channel number.
This is a free directional tool, not a research-grade attribution model. The cross-channel number uses industry-average halo factors; your actual numbers may differ.
Your last 90 days, by channel
Enter your spend and platform-attributed revenue per channel. Leave channels you don't use blank. All math runs in your browser — nothing is sent anywhere.
Frequently asked questions
What is ROAS?
ROAS (Return On Ad Spend) is revenue generated per unit of advertising spend — ₹4 of revenue for every ₹1 spent is a 4× ROAS. It is the core efficiency metric for paid marketing, but how you attribute the revenue to channels changes the number dramatically.
What is the difference between last-click and cross-channel ROAS?
Last-click ROAS credits the final touch before purchase, so it over-credits bottom-funnel channels (often branded search) and under-credits awareness channels that started the journey. Cross-channel (or multi-touch / model-based) attribution spreads credit across the touches that contributed, giving a truer view of what each channel actually drove. This calculator shows the directional gap between the two.
Why is my last-click ROAS misleading?
Because most purchases involve several touches, last-click hands all the credit to whatever the buyer clicked last — usually a retargeting or branded-search ad. That makes top-of-funnel prospecting look unprofitable when it may have started the journey, so you cut the very spend that fed your pipeline. Seeing the cross-channel estimate alongside last-click is how you catch that.
Is this ROAS calculator research-grade?
No — it is a free, directional tool. The cross-channel number uses industry-average halo factors, not a model fit to your own data, so treat it as a sense-check of the attribution gap rather than a precise figure. For a research-grade view, WatEase's AI marketing engine runs a Bayesian marketing-mix model on your actual spend and outcomes.