Keyword-to-Conversion Forecaster
Enter a keyword's search volume and the position you are targeting, and get a forecast of clicks, conversions, closed deals, and revenue, with a low, mid, and high band so nobody mistakes a model for a promise.
Uses industry-average CTR by position when empty. Override with your own GSC data.
Leave at 100 unless leads go through a sales funnel.
Negative inputs were clamped to 0.
Low
60% of mid
- Clicks/mo
- 0
- Conversions
- 0
- Closed deals
- 0
- Revenue/mo
- $0
Mid
the calculation
- Clicks/mo
- 0
- Conversions
- 0
- Closed deals
- 0
- Revenue/mo
- $0
High
140% of mid
- Clicks/mo
- 0
- Conversions
- 0
- Closed deals
- 0
- Revenue/mo
- $0
The band is uncertainty modeling, not three scenarios you choose between. Real results land somewhere inside it more often than on the midpoint.
How the forecast is built
Clicks come from search volume times the click-through rate for your target position, using industry-average CTR estimates: 27 percent at position 1 down to 1.8 percent at position 10, unless you override with your own number. Clicks times conversion rate gives leads, leads times close rate gives deals, and deals times average value gives revenue. The low and high columns scale the mid case by 60 and 140 percent to express the uncertainty baked into every one of those inputs.
Where forecasts go wrong
- Volume is an estimate. Keyword tools bucket and average volume, and seasonality moves it. Treat 5,400 as "around five thousand."
- CTR depends on the SERP. Snippets, ads, and AI answers shift clicks per query. The override field exists so real GSC data can replace the average.
- Conversion rates drift. Page quality, offer strength, and traffic intent all move the rate. Borrow from the closest comparable page you have.
Using the forecast well
Present the band, not the midpoint. A range of outcomes sets honest expectations with stakeholders and survives contact with reality far better than a single confident number. And forecast head terms only: model the few keywords a page is built around, then let long-tail coverage compound on top as a bonus rather than a promise.
Frequently asked questions
How accurate are keyword forecasts?
Directionally useful, never precise. Search volume figures are themselves estimates, CTR varies by SERP layout, and conversion rates drift with season and page quality. That is exactly why this tool shows a low/mid/high band instead of a single number: the mid case is the straight calculation, low is 60 percent of it, and high is 140 percent. Treat the band as the forecast, not the midpoint.
What conversion rate should I assume?
Your own analytics, if you have a comparable page. If you do not, cold organic landing pages on commercial-intent queries commonly convert at 1 to 3 percent, with high-intent bottom-funnel terms doing better and informational content doing far worse. Resist the urge to assume 5 percent because the spreadsheet looks nicer that way.
Does the CTR table reflect reality for my keyword?
Only on average. Featured snippets, ads, shopping results, and AI answers all take clicks before the organic positions get theirs, so two keywords at position 3 can have wildly different real CTRs. When Google Search Console shows you actual CTR for the query or a close cousin, enter it in the CTR override field and skip the table entirely.
Should I forecast every keyword in my list?
No. Model the head terms, the handful of high-volume queries a page or cluster is built around, and let the long tail follow from content coverage. Long-tail traffic is real but forecasting it keyword by keyword is false precision. A head-term forecast plus a coverage plan is more honest and faster.