Estimated Organic Traffic Calculator
Test a different scenario
Change any scenario value below. Your original calculation stays unchanged.
Scenario calculations use the same formula and v2.5 validation rules as the main calculator. No scenario values are sent to Borkish.
Calculations and What-If scenarios run in your browser. Borkish does not require you to submit these values to calculate the result.
What the Estimated Organic Traffic Calculator measures
This is a planning estimate, not a ranking guarantee, but it can help compare keyword opportunities. Estimate organic growth, content performance and SEO economics using practical marketing metrics.
The result becomes more useful when every input follows the same definition and reporting period. That keeps comparisons between campaigns, products, customers and time periods meaningful.
When to use this calculator
- Use the Estimated Organic Traffic Calculator to evaluate organic performance using consistent search and content data.
- Compare content investments across pages or reporting periods.
- Estimate whether additional SEO or content work is producing enough value.
Formula
The result is a direct numerical output. Interpret it together with the assumptions and business context behind the inputs.
How to use this calculator
- Monthly Search VolumeUse the value from the same reporting period or scenario as your other inputs.
- Expected CTR (%)Use the value from the same reporting period or scenario as your other inputs.
- Complete the required inputsThe result updates automatically as the values become valid.
- Compare the resultUse a previous period, target or relevant internal benchmark before making a decision.
Worked example
Using the demonstration values — Monthly Search Volume = 10000, Expected CTR (%) = 10 — the calculator returns 1000. The example shows how the formula behaves; replace the demonstration data with your own before using the result for planning.
How to interpret the result
This is a planning estimate, not a ranking guarantee, but it can help compare keyword opportunities. Use these tools to evaluate content investment, search visibility and organic performance over a consistent reporting period.
Check the definition of Monthly Search Volume, Expected CTR (%), the attribution or accounting rules behind those inputs, and any important costs or outcomes that the formula does not include.
Common mistakes to avoid
- Using Monthly Search Volume and Expected CTR (%) from different reporting periods or definitions.
- Treating estimated search demand as guaranteed traffic.
- Ignoring conversion quality when evaluating organic growth.
Frequently asked questions
What does this calculator do?
Estimate monthly organic visits from search volume and an assumed click-through rate.
Where should I get the input values?
Use your own advertising platform, ecommerce system, accounting report, CRM, analytics platform or forecast — whichever source is authoritative for the metric. Keep all inputs on the same basis and date range.
Is there one good result I should target?
Usually not. A useful target depends on your margins, acquisition model, operating costs, channel, market and business goals. Your own historical performance is often a better starting benchmark than a generic number.
Can I use this for forecasting?
Yes. Enter forecast values to model a scenario, but treat the output as an estimate based on those assumptions rather than a prediction of future performance.
What to calculate next
This is a planning estimate, not a ranking guarantee, but it can help compare keyword opportunities. A single metric rarely explains the whole decision, so compare this result with the related cost, conversion, margin or growth metrics below before acting on it.
Calculate percentage growth or decline in organic traffic between two periods.
Calculate organic click-through rate from search clicks and impressions.
Calculate the percentage of organic sessions that become conversions.
Keep reporting periods and metric definitions consistent when moving between calculators. That makes the comparison more useful than treating each result as a standalone benchmark.