Email Unsubscribe Rate Calculator

Behind the number

Unsubscribe rate is unsubscribes divided by emails delivered: unsubscribes ÷ delivered × 100. It measures how many people the campaign cost you permanently.

The benchmark is low, commonly under 0.5% per campaign, because the number compounds. A 0.5% rate across weekly sends removes roughly a quarter of the list a year.

It is best read alongside the revenue the campaign produced, since the trade is short-term revenue against long-term list size.

Running the numbers

59 unsubscribes from 11,820 delivered is a 0.5% rate.

Those 59 subscribers were worth $0.065 of contribution per campaign each. Across 52 campaigns a year that is $3.38 each, so the campaign's cost in lost future contribution is roughly $199.

Against $765 of contribution generated, the campaign is clearly worth sending: but at a 2% unsubscribe rate it would cost 236 subscribers, $797 of future contribution, and would destroy more value than it created.

That comparison is the honest way to judge an aggressive campaign, and it is almost never made.

What gets missed

Unsubscribes are the visible cost and the invisible one is larger: people who stop opening without unsubscribing. They remain on the list, count as subscribers, and quietly damage engagement signals.

A campaign that produces few unsubscribes and many silent disengagements looks better than one that produces the reverse, and is worse.

What to do next

Price the unsubscribes in contribution rather than reading the percentage. It converts a compliance metric into a commercial one and makes frequency decisions arguable rather than instinctive.

Then offer a preference centre with a frequency option rather than a single unsubscribe link. A meaningful share of people who would have left entirely will instead reduce frequency, which preserves most of their value.

Unsubscribes as a signal rather than a cost

A campaign with an unusually high unsubscribe rate is telling you something specific: the content did not match what people expected when they signed up, or the frequency has become intrusive.

Tracking the rate by campaign type and by acquisition cohort usually locates it precisely, often a particular offer, or subscribers acquired through a competition who never wanted the newsletter.

The strategic response is usually to fix the expectation at signup rather than to soften the campaign. A list built on a clear promise about what will arrive and how often sustains far higher frequency than one built on a discount code with no stated commitment.

Placement of the unsubscribe link is worth getting right rather than minimising: a hidden link converts an unsubscribe into a spam complaint, which is far more damaging.

Making it obvious costs a few subscribers who were going anyway and protects the sending reputation that everything else depends on.

Comparing the rate across campaign types usually shows promotional sends running several times the newsletter rate, which is the evidence needed to argue for a better content balance.

Setting expectations in the welcome email. What will arrive, how often, and how to change it, reduces unsubscribes across every subsequent send rather than only the first.