How to Benchmark Open and Click Rates for Employee Email

Most internal comms teams benchmark the wrong way. They pull a marketing-email open rate from a 2018 industry report, compare it to last week's all-staff send, and either declare victory or write a panicked Slack message to the team. Neither response is grounded in what the number actually says about the program.

Internal email is a different category from marketing email. The relationship is pre-existing, the audience is captive, and the content is work-relevant by definition. That changes what a healthy open rate looks like, what a click rate is supposed to do, and which gap between the two should worry you. This is how to benchmark internal email open and click rates so the number tells you something useful.

What good looks like for internal email open rates

Healthy internal open rates sit higher than marketing benchmarks. Most internal communications programs land between 40% and 60%, and strong programs clear 60% on routine sends. The floor is higher because the audience is employees, not a permission-based subscriber list, and the content has work consequences attached to it.

Read those numbers with one caveat. Open-rate measurement is imperfect. Preview panes, image-blocking, and corporate email clients that pre-fetch images all inflate the figure. A 70% open rate is not the same as 70% of your workforce reading the email. Treat open rate as a directional indicator of subject-line strength and audience relevance, not a precise count of human eyeballs.

What good looks like for click rates

Internal click rates typically run 8% to 20%, and the variation is driven by content type. A monthly news digest with five clickable items can hit 15% to 20%. A standalone announcement that asks the reader to acknowledge a policy can hit 30% or more. A CEO update that delivers its message in two paragraphs and asks for nothing might land at 5%, and that is not a failure.

The trap is benchmarking click rate against a single number across every send. The right benchmark is content-type specific. If you do not separate digests, announcements, surveys, and read-and-acknowledge sends in your reporting, the average will lie to you.

Reading the gap between open and click

The open-to-click ratio is more diagnostic than either number on its own. Look at the gap before you look at the absolute values.

High open and low click means the subject line did its job and the content did not. The reader showed up and decided there was nothing to do next. That is a content problem, not a list problem.

Low open and high click means a small but engaged audience. The people who opened were the right people. You have a reach problem, not a relevance problem, and the fix is in the audience targeting or the send time, not in the body copy.

Both low usually means the wrong audience or the wrong topic. Before you rewrite the subject line, ask whether the message was relevant to the people on the list at all.

Both high means the program is working. The instinct in this case is to start changing things to push the number further. Resist it. Protect what is working, and run experiments on a different content type instead.

How segmentation changes every benchmark

A company-wide open rate is an average. Like any average, it hides the truth. Frontline workers, headquarters staff, and field teams open email on different devices at different times of day, and they behave differently when they get there.

Benchmark by segment, not by company. Location, role, department, and tenure each move the number. New hires in their first 90 days open at higher rates than five-year tenured employees, who have already seen the same kinds of messages enough times to skim.

Deskless workers open later in the day, on mobile, or not at all if the email landed during a shift on the floor. Comparing those segments against a single blended benchmark is comparing them against a number that does not match anyone's actual experience.

Segmentation also exposes the question of what you should be measuring in the first place. If 70% of your workforce is deskless and your blended open rate is 45%, the headquarters number is masking a serious reach problem at the front line.

Building your own benchmark over time

The most useful benchmark for an internal comms program is its own rolling 12-month baseline, broken out by content type and audience segment. Industry numbers from a benchmark report are fine for a sanity check, but they were measured on different programs, and employee bases, and often don't even count the same behavior as an open.

Track three things over time: open rate by segment, click rate by content type, and the open-to-click ratio for each. When a new send comes in, compare it to your own baseline first. If the number is off, the segment cuts will usually tell you whether the audience, the content, or the timing is the cause within a few minutes of looking.

You can use benchmarking to hit a number that matches a slide in someone else's industry report, but it's far more important to know whether the number you got tells you to keep going, fix the subject line, fix the content, or fix the list. The teams that get this right stop chasing external averages and start measuring their own program against itself.