CTR and traffic estimator.
Enter keywords with monthly search volume and your current position to estimate monthly clicks. The tool uses Doily's planning curve, which you can edit, and totals the result. Real click-through varies by query, search features, and AI Overviews, so treat the numbers as a planning estimate, not a forecast.
Doily's planning curve (editable)
Percent of searches that end in a click on your result at each position. Edit any value to match your own data.
The sample rows are example data. Replace them with your own keywords.
| Keyword | Monthly volume | Position | Click rate | Est. clicks | Remove |
|---|---|---|---|---|---|
| Total estimated monthly clicks | 0 | ||||
Paste rows copied from a spreadsheet or CSV. A header row is skipped.
Real click-through varies by query, SERP features, and AI Overviews, so these figures are a planning estimate. Positions are rounded to the nearest whole number.
This tool runs in your browser. Nothing you enter is sent anywhere or stored.
How to use it
- Add your keywords Type rows by hand or paste keyword, volume, and position from a spreadsheet.
- Check the curve The default values are Doily's planning curve. Edit any number to match your own data.
- Read the estimates Each row shows estimated monthly clicks, and the total updates as you edit.
- Compare opportunities Change a position to see what moving up would be worth, and rank keywords against each other.
Why it matters
Search volume tells you how many people search. Position tells you how many of them can realistically see and click your result. Combining the two turns a keyword list into a rough picture of where your traffic comes from and where moving up a few places would matter most.
The curve is where the judgment sits. The default curve is a planning assumption, not a measurement. It gives position 1 about 31.7 percent of clicks, position 3 about 18.7 percent, and position 10 about 2.4 percent, with 1 percent across positions 11 to 20 and 0.2 percent below. The drop between the first positions is steep, so a move from 4 to 2 is worth far more than a move from 14 to 12, which this curve treats as no change.
No curve is universal. Click-through changes with the query, the device, the ads above you, and features such as maps, shopping results, featured snippets, and AI Overviews, which can push organic results down or answer the question without a click. Replace the numbers with your own click and impression data from Google Search Console when you have it. Positions are rounded to the nearest whole number, so 3.4 counts as 3. Use the output to rank opportunities against each other, and do not quote it as a forecast.
Questions
Where does the default curve come from?
It is a planning assumption set by Doily. It is a starting point for estimates, not a measurement of your site or your niche, so edit it when you have better numbers.
How do I get my own click-through numbers?
In Google Search Console, open the performance report and export queries with clicks, impressions, and average position. Group the rows by position, divide clicks by impressions, and enter those percentages in the curve.
What format does the paste import expect?
One keyword per line as keyword, volume, and position, separated by commas or tabs, with or without a header row. You can copy rows straight from a spreadsheet.
Why do my estimates differ from Search Console?
Volumes are estimates, and real click-through depends on the query and the results page layout. For keywords you already rank for, trust the clicks Search Console reports over this estimate.
Keep going
Read the Doily guides for step-by-step playbooks. To track results over time, see Doily's SEO tools.
