SEO Traffic Value Calculator

Estimated clicks times the cost per click you would pay for the same query. That answers what the traffic would cost to buy, which is not the same as what it earns — where you have conversion data, use it.

Commonly cited around 28 to 32% for a plain result, falling steeply through the top ten. Real curves vary enormously by query type, and a page with a featured snippet or shopping carousel behaves nothing like a plain one.

Roughly a third, on the standard curves. The gap between first and second is the largest single jump, which is why moving from second to first is usually worth more than any other single position gain.

Because you would not buy every click at that price, and because organic and paid traffic convert differently. It is a useful framing for the size of the asset rather than a revenue figure.

Substantially. A growing share of queries are answered on the results page itself, so search volume increasingly overstates available clicks — informational queries are affected far more than commercial ones.

Not on volume alone. A 500-search query with commercial intent that you can rank for beats a 50,000-search informational one that you cannot, which is what difficulty and intent scoring are for.

Because they average over query types with very different result pages. A query with a featured snippet, an answer box or a shopping carousel distributes clicks nothing like a plain ten-result page.

Very little — commonly cited under 1% of clicks in total. The practical implication is that position 11 and position 50 are much closer in value than position 11 and position 9.

Substantially, and it should usually be excluded. Branded queries would largely convert regardless of ranking, so counting them as SEO-generated value overstates the contribution considerably.

From your own analytics, segmented by landing page and query intent. Commercial queries convert at multiples of informational ones, so a single site-wide rate misvalues both.

It is rounded, bucketed and often averaged over twelve months, so seasonal terms are badly represented. Treat it as an order of magnitude rather than a count.

Mixed. It raises visibility and can reduce clicks, since the answer appears on the results page. For queries where the answer is a starting point rather than the whole task, it usually gains more than it costs.