What's the difference between click rate and click-through rate?

Click rate is unique clicks divided by emails delivered. Click-through rate is usually the same thing, but some platforms use 'click-through' to mean click-to-open rate (clicks divided by opens). Definitions vary across Mailchimp, Klaviyo, HubSpot, and others — verify which formula your ESP uses.

What is a good email click-through rate?

If defined as clicks/delivered: 1.5-3% is healthy for promotional, 3-6% for newsletters, 1-2% for cold outreach. If defined as click-to-open (clicks/opens): 10-20% is healthy. Always verify which definition your platform uses before comparing to benchmarks.

How is click-through rate calculated?

Most commonly: (unique clicks / emails delivered) × 100. Some platforms calculate as (unique clicks / unique opens) × 100, which they call click-to-open rate. The two produce very different numbers (10-20% vs 1-3%) for the same campaign. Read your ESP's metric definitions.

Why does my click rate differ between platforms?

Different platforms define click rate differently (clicks/delivered vs clicks/opens), count differently (unique vs total clicks, including or excluding bots), and apply different bot-filtering. Same campaign data can produce a 1.5% click rate in one tool and 12% in another.

Should I track click rate or click-to-open rate?

Both. Click rate measures overall send effectiveness — how many recipients of the email took action. Click-to-open measures content quality — of those who opened, how many engaged with content. Low click rate with high CTOR means a subject line or audience problem; high click rate with low CTOR means a content problem.

Email Click Rate vs Click-Through Rate: The Difference

Click rate and click-through rate are routinely confused, and the confusion gets worse because ESPs define them differently. This article clarifies the definitions, explains when each metric matters, and shows how to use both for diagnostics.

The two formulas

Click rate (most common definition):

Click rate = (unique clicks / emails delivered) × 100

Click-to-open rate (CTOR):

CTOR = (unique clicks / unique opens) × 100

Some platforms (notably some older HubSpot reports and some industry references) use "click-through rate" to mean CTOR. Most modern platforms use it as a synonym for click rate.

Result: the same campaign produces wildly different numbers depending on definition. A campaign with 25% open rate, 2.5% click rate (clicks/delivered), and 10% CTOR can be reported as:

"2.5% click-through rate" (clicks/delivered)
"10% click-through rate" (clicks/opens)

Identical campaign, identical clicks, different reported numbers.

ESP definitions (verify your specific tool)

Platform	"Click rate"	"Click-through rate"	"Click-to-open rate"
Mailchimp	clicks/delivered	Same as click rate	clicks/opens
Klaviyo	clicks/delivered	Same as click rate	clicks/opens
HubSpot	clicks/delivered	Sometimes clicks/opens	clicks/opens
ActiveCampaign	clicks/delivered	clicks/delivered	clicks/opens
ConvertKit	clicks/delivered	Same as click rate	Not typically shown
Postmark	clicks/delivered	Same as click rate	clicks/opens
Iterable	clicks/delivered	Same as click rate	clicks/opens

Always confirm before comparing across platforms or to industry benchmarks.

What each metric tells you

Click rate (clicks / delivered)

Measures overall send effectiveness. How many recipients of the email took action?

Useful for:

Comparing campaigns where everything else is similar
Reporting "this campaign drove X% of recipients to act"
Tracking trend over time
Calculating downstream conversion funnels

Affected by:

Open rate (you can't click if you don't open)
Subject line quality
Audience quality and engagement
Content quality
CTA clarity

Click-to-open rate (clicks / opens)

Measures content quality among those who opened. Of the people who chose to open, how many engaged with content?

Useful for:

Diagnosing whether content matches subject line promise
Comparing different content treatments for similar audiences
Isolating content from delivery/open issues

Affected by:

Content relevance to subject line
CTA placement and clarity
Design quality
Value proposition

How to use both for diagnostics

The two metrics together identify where the funnel is breaking:

Click rate	CTOR	Diagnosis
Low	Low	Audience disengaged or content not landing
Low	High	Subject line problem — few open, but content works for those who do
High	Low	Subject line works but content disappoints
High	High	Healthy — everything working

This 2x2 is the most useful diagnostic frame in email analytics.

Practitioner note: When clients ask "why are click rates down?" the first thing I do is pull CTOR. If CTOR is stable and click rate dropped, the cause is upstream — fewer opens, not worse content. If CTOR dropped and open rate is stable, content is the issue. The 2x2 narrows the diagnostic in 30 seconds.

Apple Mail Privacy Protection caveat

Apple Mail Privacy Protection (MPP) auto-loads tracking pixels for Apple Mail users, inflating open counts artificially. This affects:

Open rate — inflated 30-50% for Apple-heavy audiences
CTOR — depressed (denominator inflated by fake opens, numerator unchanged)
Click rate — unaffected (Apple doesn't auto-click)

CTOR is now less reliable as a content quality indicator because the open denominator is contaminated by MPP. Click rate (clicks/delivered) is the cleaner metric in 2026.

For deeper coverage see Apple Mail Privacy Protection.

Industry benchmarks (2026)

Click rate (clicks/delivered):

Industry	Promotional	Newsletter
Ecommerce	2-4%	4-7%
B2B SaaS	1.5-3%	3-5%
Nonprofit	1.5-3%	3-6%
Cold outreach	1-2%	N/A
Transactional	3-10%	N/A

CTOR (clicks/opens):

Industry	Range
Promotional general	10-15%
Ecommerce	12-18%
B2B SaaS	10-15%
Newsletter	15-25%
Transactional	15-25%

These benchmarks assume real opens (excluding MPP artifacts). With MPP inflation, CTOR numbers will appear lower than they actually are.

Other related metrics

Click rate per link: Some platforms break down clicks by specific link. Useful for identifying which CTA is performing.

Unique vs total clicks: Unique clicks count each recipient once even if they click multiple times. Total clicks counts every click. Unique is the standard metric.

Time-to-click: How long after open did the click happen? Useful for send-time optimization.

For broader context see email marketing metrics guide, email engagement metrics, and email analytics tools compared.

Reporting recommendations

When reporting click metrics to stakeholders:

Always specify the formula (clicks/delivered vs clicks/opens)
Include both click rate and CTOR if reporting one
Note any platform changes that might affect comparability over time
Flag Apple MPP impact on opens-based metrics
Show trend (vs previous period) not just absolute number

For stakeholder report templates see email marketing reports guide.

If you need help auditing how your ESP defines metrics, comparing across platforms, or building reports that don't get misinterpreted, book a consultation. I do metrics audits and reporting design for email programs regularly.

Sources

v1.0 · May 2026