Missed Traffic: Where You Are Losing Clicks
The block calculates not 'where the position is worse', but where the position rise will yield the most clicks: impressions from Search Console, your own position check, and a realistic goal. Two operating modes and honest forecast boundaries.
“Missed traffic” answers a question that is usually solved by intuition: where to invest efforts to get the maximum clicks. The block calculates not 'where the position is the worst', but where the position rise will give the greatest traffic increase.
Where it is located
- Rank Tracker, project page — breakdown by queries: which phrases will yield the most clicks when reaching the target.
- SEO Audit, report — breakdown by pages: which pages are underperforming in traffic relative to their demand.
How it is calculated
The formula is simple and worth understanding to avoid overestimating the result:
Missed clicks = impressions for the period × (click-through rate at target position − click-through rate at current position).
- Impressions are taken from Search Console for the observation period — this is real demand, not an estimate of frequency.
- Position is taken from your own search results check in your region: it is more accurate than the average position from Google reports.
- Target position — realistic, not first place: the same curve is used in the Audit and Radar, so that the numbers of the three services match.
Two modes
| Mode | When it is activated | What it shows |
|---|---|---|
| With frequency | Search Console is connected and there are impressions for the query | Absolute potential: “+N clicks per month” |
| Relative | No demand data | Click-through rate multiplier: “position 14 → top-5 ≈ ×N clicks” |
In the second mode, absolute numbers are deliberately not shown: without demand data, they would be fictitious.
The forecast is optimistic by nature
The model assumes that the position will reach the target and that the click-through rate will be average for the industry. In reality, search results with images, answer boxes, and ads take away some clicks. Consider this an upper limit, not a plan.How to use it
- Sort the list and look at the top rows — the main potential is concentrated there.
- Check that the page for these queries matches user intent: sometimes it’s not about links, but about content.
- Send the selected pages to budget strategy: Radar will distribute the amount across pages considering the return.
- In a month or two, check with “Pulse”: has the position shifted and have clicks increased.
Why the list can be empty
- Search Console is not connected and there are no tracked queries — there’s nothing to calculate.
- All queries are already in the top: there’s nothing to miss, and this is a normal outcome.
- The project was created recently: a history of observations is needed for at least a few weeks.
FAQ
Where do the impressions for the calculation come from?
From Search Console for the observation period — this is real demand for your queries, not an estimate of frequency from external databases.
Why are absolute clicks not shown?
This means there is no demand data: without Search Console, the platform shows a relative click-through rate multiplier, not made-up numbers.
How much can the forecast be trusted?
This is an upper limit: the model assumes reaching the target position and average click-through rate, while the actual search results take away some clicks.
Try it on your project
Everything described in the article is available in the dashboard — the registration bonus is already in your balance.
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