How to Calculate Click-Through Rate (CTR)
Click-through rate (CTR) shows how often an impression turns into a click. It is one of the most widely used metrics in paid advertising, email, search, and content distribution because it connects exposure with audience response.
Last reviewed: 2026-09-18
CTR formula
CTR is calculated by dividing the number of clicks by the number of impressions, then multiplying by 100 to express the result as a percentage.
- CTR = (Clicks ÷ Impressions) × 100
Use clicks and impressions from the same campaign, placement, creative, and reporting period. Mixing data from different scopes can produce a misleading rate.
CTR example
Suppose an ad receives 10,000 impressions and 250 clicks.
- CTR = (250 ÷ 10,000) × 100
- CTR = 2.5%
This means 2.5 out of every 100 recorded impressions resulted in a click.
How to calculate clicks from CTR
If you know impressions and CTR, rearrange the formula to estimate clicks.
- Clicks = Impressions × (CTR ÷ 100)
- 50,000 impressions × 0.018 = 900 clicks
At a 1.8% CTR, 50,000 impressions would produce about 900 clicks, assuming the rate remains stable.
How to calculate impressions from clicks and CTR
You can also estimate the impressions required to generate a target number of clicks.
- Impressions = Clicks ÷ (CTR ÷ 100)
- 1,200 clicks ÷ 0.024 = 50,000 impressions
This is useful for campaign planning, but actual CTR can change as audiences, creative, frequency, placements, and competition change.
CTR, CPC, and CPM: how they connect
CTR measures response to impressions, while CPC measures cost per click and CPM measures cost per 1,000 impressions. When media is priced on a CPM basis, CTR has a direct mathematical relationship with effective CPC.
- Effective CPC = CPM ÷ (10 × CTR%)
- $8 CPM ÷ (10 × 1.6) = $0.50 CPC
So an $8 CPM and a 1.6% CTR imply an effective CPC of $0.50. Explore this relationship further in CPM vs CPC, or check campaign numbers with the CPC Calculator and CPM Calculator.
CTR vs conversion rate
CTR answers, “Of the people who saw this, how many clicked?” Conversion rate answers, “Of the visitors or users measured, how many completed the desired action?” A campaign can have a strong CTR but weak conversion rate if the landing page, offer, targeting, or post-click experience does not match the promise of the ad.
For post-click performance, use CalcMetrio's Conversion Rate Calculator.
What is a good CTR?
There is no universal good CTR. Rates vary substantially by channel, ad format, placement, audience, keyword intent, industry, device, and campaign objective. A branded search ad and a broad display ad should not be judged against the same CTR benchmark.
A more useful approach is to compare like with like: track your own CTR by channel and campaign, segment where appropriate, and evaluate changes alongside CPC, conversion rate, customer acquisition cost, and return on ad spend.
Example: why a higher CTR may not mean better performance
Campaign A gets 100,000 impressions at a 1% CTR, producing 1,000 clicks. Campaign B gets the same impressions at a 2% CTR, producing 2,000 clicks. On CTR alone, Campaign B looks stronger.
But if Campaign A converts 8% of clicks while Campaign B converts only 2%, Campaign A produces 80 conversions and Campaign B produces 40. This is why CTR should be treated as one stage in the funnel rather than the final measure of success.
Common CTR calculation mistakes
- Dividing impressions by clicks. The correct order is clicks divided by impressions.
- Forgetting to multiply by 100. A decimal result of 0.025 equals 2.5%.
- Mixing reporting periods. Clicks and impressions must cover the same period.
- Comparing unrelated channels. Different formats and user intent can produce very different baseline CTRs.
- Optimizing CTR in isolation. More clicks are useful only when they support the campaign's business objective.
Practical takeaway
CTR is simple to calculate: clicks divided by impressions, multiplied by 100. Its real value comes from using it with cost and outcome metrics. Track CTR to understand how effectively impressions generate traffic, then use CPC, conversion rate, CAC, and ROAS to determine whether that traffic is economically useful.