CTR Calculator
Calculate click-through rate (CTR) from clicks and impressions. Plan clicks or impressions for a target CTR, compare to a benchmark, and share a copy-ready summary.
Compute CTR, plan for targets, compare to a benchmark, and optionally generate AI insights.
Result
1,5%
CTR
Benchmark (optional)
Compare your CTR to a baseline and estimate the click gap at the same impressions.
95% confidence interval
1,28% - 1,76%
Summary
Copy a plain-text summary for decks, reports, or spreadsheets.
CTR Calculator — Summary Mode: CTR Clicks: 150 Impressions: 10 000 CTR: 1,5% 95% confidence interval: 1,28% - 1,76% Formula: CTR = (Clicks / Impressions) × 100 Note: Use consistent click/impression definitions for the same platform, placement, and timeframe. CTR alone does not measure conversion quality.
Formulas
- CTR = (Clicks / Impressions) × 100
- Clicks = Impressions × (CTR/100)
- Impressions = Clicks ÷ (CTR/100)
Interpretation, pitfalls, and next-step ideas. AI does not change the math.
Avoid sensitive data. AI output is advisory.
Definitions and further reading.
Keep planning media metrics with these tools.
Why this CTR calculator is different
95% confidence interval
See a Wilson 95% interval to avoid false precision, especially with small samples.
Benchmark comparison
Compare against a baseline CTR and estimate the click gap at the same impressions.
Inverse planning modes
Solve for clicks or impressions given a target CTR to plan volume scenarios.
Copy summary + optional AI
Copy a clean summary for stakeholders and get optional AI interpretation (advisory only).
How it works
Enter clicks and impressions
Get CTR instantly and see the confidence interval in CTR mode.
Set a target CTR
Estimate clicks (given impressions) or impressions (given clicks) for planning.
Compare and share
Add a benchmark CTR, copy the summary, and optionally request AI insights.
FAQ
Make CTR decisions with less guesswork
Use confidence intervals, benchmarks, and copy-ready summaries to communicate CTR results clearly.
Start calculatingEstimates only. CTR depends on how clicks and impressions are defined and on placement mix. Use ranges and segmentation to avoid false precision.