Six assumptions that connect SaaS SEO to pipeline
Tick the questions you can answer with real evidence. Your selections stay in this browser tab and are not submitted anywhere.
Expected wins are probabilistic. Any figures you record are illustrative assumptions, not guaranteed outcomes.
Which unchecked items would most affect your ability to win and serve a qualified buyer? Resolve those before multiplying pages.
Model one month's organic enquiry cohort
Change the assumptions below to examine qualified pipeline and expected gross-profit contribution. Values are illustrative, not claims about a real campaign.
Adjust the figures to see illustrative results.
Gross profit per account must use the same attribution horizon as the cost assumption. The model excludes sales lag, cohort overlap, churn, other acquisition costs and uncertainty.
Read the calculation as a cohort scenario
The calculator begins with relevant visitors, then applies enquiry, qualification and win-rate assumptions. Fractional expected wins are an average across hypothetical cohorts, not a prediction that part of a customer will buy. Its gross-profit calculation depends on the user-supplied account economics and should be compared with programme costs over the same horizon. For longer enterprise sales cycles, a single month is rarely enough to conclude that a campaign is profitable.
Find the weakest assumption before scaling
Change one rate at a time. If the model depends on nearly every enquiry qualifying, compare that assumption with sales records. If it depends on a very high win rate, ask what makes those opportunities unusually suitable. If many visits come from existing customers searching support documentation, do not treat all of them as new demand. An honest sensitivity test can justify a small research programme or show why publishing more content is the wrong first move.