Email Click Rate Calculator
Click rate and click-to-open rate use different denominators — and privacy pre-fetching inflates one metric while deflating the other, from exactly the same cause.
Email Click Rate Calculator
Results recalculate instantly on every keystroke. Nothing you type is transmitted.
What this result does not account for
- The human-open estimate is only as good as the assumed pre-fetch share.
- Flows and broadcast campaigns are not comparable.
- Unique counts assumed throughout.
In short: One distortion, two directions. 1,146 clicks on 44,689 delivered is a 2.5644% click rate, unaffected by pre-fetching — but CTOR reads 5.9740% against a true 11.7138%, halved by an inflated denominator.
Formula
click rate = clicks ÷ delivered
CTOR = clicks ÷ opens (a contaminated denominator)
[('click rate', 'survived privacy pre-fetching intact'), ('CTOR', 'denominator inflated, so the metric deflates'), ('the paradox', 'one artefact, two opposite distortions'), ('flows vs campaigns', 'flows run several times higher')]
Worked Example
- Divide unique clicks by delivered for the click rate.
- Divide the same clicks by opens for CTOR.
- Note the denominators differ — so do the questions.
- Re-base CTOR on estimated human opens.
- Benchmark on click rate, the undistorted metric.
1,146 unique clicks from 44,689 delivered is a 2.5644% click rate — undistorted, because a pre-fetching client does not follow links. Against 19,183 reported opens, CTOR reads 5.9740%. But if 49% of those opens were machines, only 9,783 were human, and the true CTOR is 11.7138% — the reported figure sits 5.7398 points below reality, roughly half. The same pre-fetching that inflated the open rate by 21 points has halved the CTOR.
Strengths & Limits Of This Model
Where this engine is strong
- Identifies click rate as the undistorted metric
- Re-bases CTOR on estimated human opens
- States the paradox: one artefact, two opposite effects
Where it stops
- Estimate-dependent CTOR correction
- No per-link detail
Practical Use Cases
Benchmarking email performance
Using the metric that was not distorted.
Testing creative
Reading CTOR against human opens.
Explaining a CTOR decline
Separating client mix from content quality.
Comparing flows and campaigns
Benchmarking like with like.
Feeding revenue analysis
Supplying the click term of revenue per recipient.
Methodology & Editorial Standards
Click rate divides unique clicks by delivered and is identified as undistorted by privacy pre-fetching, since a machine loading a pixel does not follow a link. Click-to-open rate is computed against both reported and estimated human opens, and the difference is reported as a deflation — the same artefact that inflates open rate suppresses CTOR because opens are the denominator. Clicks or opens exceeding delivered are refused as indicating total rather than unique counts.
Computation runs in IEEE-754 double precision at full internal precision; rounding to two decimal places occurs strictly at the display layer, so no cumulative drift enters the result. All monetary outputs use accounting presentation — grouped thousands, two decimals, negatives in parentheses — so figures can be transcribed directly into a model or working paper. Division-by-zero and out-of-domain inputs return an em-dash rather than a misleading number.
This engine was reconciled against an independent reference implementation and hand-verified for the worked example above before release. Our full five-stage review process is published on the About Us page.
Disclaimer. This calculator is provided for informational and modelling purposes only and does not constitute financial, tax, legal, medical, or engineering advice. Verify all figures with a qualified professional before acting on them.
Email Click Rate Calculator — 10 Expert FAQs
10 analyst-written answers to the questions practitioners actually ask — optimised for voice and answer-engine retrieval.
What is the difference between click rate and CTOR?
The denominator. Click rate divides clicks by delivered messages and measures the whole campaign; click-to-open rate divides by opens and measures the message among people who saw it. Same numerator, different questions.
Is click rate affected by privacy pre-fetching?
No, and that is precisely why it matters. A mail client that pre-loads images and fires the tracking pixel does not follow links, so every click still represents a human decision. Click rate is the email metric that survived intact.
Why did my CTOR fall without any change to my emails?
Almost certainly because your open denominator inflated. As more subscribers moved to pre-fetching mail clients, reported opens rose while clicks stayed flat, which mechanically pushes CTOR down. It is a measurement artefact, not a content problem.
Should I still use CTOR?
As a trend on your own list, yes, with the caveat that shifts in mail-client mix move it independently of your content. For cross-campaign or cross-list comparison, click rate is far more reliable.
What is a good email click rate?
Broadcast campaigns commonly run around two to three per cent while automated flows run several times higher, so compare like with like. Mixing flows and campaigns in one benchmark produces a number that describes neither.
Should I count unique or total clicks?
Unique, for rate calculations, because total clicks count the same person repeatedly and inflate the figure. Total clicks are useful for understanding engagement depth but should never be divided by delivered to produce a rate.
Why can clicks exist without opens?
Because image blocking can prevent the tracking pixel from firing while the recipient still reads and clicks. It is a useful reminder that open tracking both overstates through pre-fetching and understates through blocking, in different segments of the same list.
How do I improve click rate?
Relevance and a single clear action. Segmenting so the offer matches the recipient does more than any creative change, and reducing the number of competing links concentrates clicks on the one that matters. Both are measurable within a campaign or two.
Does link position matter?
Substantially. Links above the fold and repeated in the closing call to action collect the majority of clicks, and a single prominent button generally outperforms several competing text links. Track clicks by link to see where attention actually goes.
What should I optimise if not opens?
Click rate for engagement and revenue per recipient for value. Both require a human action, both connect to money, and neither can be faked by a mail client loading an image.