What is a good email click rate?

Use a relevant campaign benchmark as a reference, then judge your click rate against comparable sends and the action you wanted. Calculate unique clickers divided by delivered emails, with consistent bot filtering. An industry median is not a universal pass mark, and a higher click rate alone does not establish more sales.

If your campaign report looks weak, establish what it counts before rewriting the email. A useful comparison needs the same kind of message, an equivalent rate definition and a clear reason for wanting the click.

This guide covers permission-based marketing campaigns. Keep triggered flows separate in your own analysis rather than giving a cart reminder the same target as a general newsletter.

Which click-rate benchmark should you use?

For an ecommerce campaign, an ecommerce reference is more relevant than a figure pooled across unrelated industries. MailerLite’s benchmark report gives 1.07% for ecommerce, compared with 2.09% across industries. Its methodology specifies medians, using over 3.6 million campaigns from 181,000 approved accounts, sent from December 2024 to November 2025. These describe one provider’s customers; the report gives neither the ecommerce subset’s size nor its bot-filtering treatment, and its recipient-based click-rate definition does not specify whether bounces are excluded. Use them as references, not pass marks.

The report uses “average” elsewhere; the median label above follows its stated methodology. It cannot tell you that your filtered rate is directly comparable, or that crossing the median makes your campaign profitable. It is also a campaign reference, not a separate target for each automated flow.

Use it to frame a question: how does this campaign compare with similar sends in our own account? Match the audience, message purpose, elapsed reporting time and filters as closely as possible. If those changed, record the difference before judging the creative.

For example, compare a refill promotion with earlier refill promotions to a comparable audience. A general newsletter and a narrowly selected product reminder answer different reader needs; combining them can hide the distinction you are trying to investigate.

Calculate click rate before comparing the label

For a single send, use:

Click rate = unique recipients with at least one counted tracked-link click ÷ delivered emails × 100.

Count each recipient once for that email, even if they click repeatedly. The delivered-email formula excludes bounced messages from the denominator. Keep the report’s counted-link scope and filtering beside the result.

Consider an invented campaign, measured at one observation cutoff with the same filtering throughout:

The same send produces three different percentages:

The 1.2% is above the ecommerce reference and below the all-industry reference from the dated dataset above. Neither comparison alone establishes success. The 2.1% does not mean more people clicked: it counts repeat events.

There is also a naming trap. Klaviyo’s email glossary calls unique clicks divided by unique opens click-through rate, or click-to-open rate. Its click rate uses delivered messages. The formula linked above uses click-through rate for the delivered-email calculation. Read the denominator rather than assuming “CTR” means the same thing everywhere.

When combining sends, divide the sum of unique-per-send clickers by the sum of deliveries. Do not take an unweighted average of the percentages. That combined result measures email sends; a person receiving several emails can contribute to several sends.

Check what filtering changed

Recorded clicks can include machines checking link safety or generating previews. The bot-click documentation also notes that a single profile can have both human and automated clicks. A recorded click is therefore not automatically proof of a person choosing to visit your store.

Compare reports with equivalent filtering. If the earlier export included classified bot events and the current one excludes them, reconcile that change before blaming a lower rate on copy. Use the bot-click guide for the fuller event and contact audit.

For a concrete reporting check, Klaviyo documents Single Metric Deep Dive Report → Clicked Email → add Bot Click = false → Save & Run Report. This excludes classified bot events in that report. Its click-event count is not automatically your deduplicated campaign rate; retain the campaign scope, unique clickers and delivered denominator when calculating that rate.

Click-to-open rate needs another caution. Apple’s privacy documentation explains that Protect Mail Activity downloads remote content in the background regardless of engagement. Recorded opens need not be human reads. An open-based denominator can change without any change in clickers; use the open-rate guide when investigating that report.

Turn the gap into a specific next action

Treat the result as an investigation prompt. The table below is a diagnostic framework, not a claim that one symptom proves its cause.

There is independent usability support for reviewing the promise. Nielsen Norman Group’s 2017 article on newsletter usability research describes participants disliking irrelevant content and vague promotional hype. That supports asking whether the recipient can understand the offer and why it matters; it does not supply a guaranteed click-rate improvement.

Start with a delivered copy of the email. Follow the intended link, confirm that the destination fulfils its promise, and choose one specific change to compare. For example, test a link that names the product or useful resource against a vague invitation, while keeping the destination relevant to both versions. Judge the desired action under an equivalent definition.

If the remaining question is which emails received credit for orders, continue with the email-sales tracking guide. A click count cannot resolve purchase attribution.

Keep the comparison beside the campaign

Save a compact record someone else can reproduce:

This makes “good” a reviewable decision: comparable engagement, a useful action and a documented next step, rather than a percentage detached from its send.

Is click rate the same as click-to-open rate?

No. Click rate here divides unique clickers by delivered emails; click-to-open rate divides them by recorded opens. Platform labels differ, so check the formula. Open-based rates also inherit the limits of open tracking and do not necessarily describe only human readers.

Does a higher email click rate mean more sales?

No. The rate counts recorded clickers, not orders. Check which links were clicked and the relevant purchase results before drawing a sales conclusion. A higher percentage alone does not establish a revenue or retention gain.