Definition
Unsubscribe rate measures the percentage of delivered emails that result in a recipient unsubscribing from your list. While some unsubscribes are natural and healthy — not every subscriber remains interested forever — a high or rising unsubscribe rate signals problems with content relevance, frequency, audience targeting, or subscriber expectations.
Unsubscribes are preferable to spam complaints because they provide a clean exit without damaging sender reputation. However, a high unsubscribe rate still indicates that your email program is not delivering enough value to retain subscribers. Monitoring unsubscribe rates alongside engagement metrics gives a complete picture of list health.
Formula
Unsubscribe rate is calculated as a percentage of delivered emails:
Unsubscribe Rate = (Total Unsubscribes / Total Delivered) × 100
| Variable | Description |
|---|---|
| Total Unsubscribes | Number of recipients who clicked unsubscribe for this campaign |
| Total Delivered | Total emails sent minus bounces |
Average Benchmark
| Classification | Unsubscribe Rate |
|---|---|
| Excellent | Below 0.1% |
| Good | 0.1% - 0.2% |
| Average | 0.2% - 0.4% |
| Above Average | 0.4% - 0.6% |
| Concerning | 0.6% - 1.0% |
| Critical | Above 1.0% |
A healthy email program should maintain an average unsubscribe rate below 0.3%. Rates above 0.5% for multiple consecutive campaigns warrant investigation.
How to Improve Unsubscribe Rate
- Set expectations at sign-up: Tell subscribers what type of content they will receive and how often. Surprise is the leading cause of unsubscribes — nobody likes unexpected email volume or irrelevant content.
- Send the right frequency: Let subscribers choose their preferred frequency through a preference centre. If you must increase frequency, warn subscribers and measure the unsubscribe impact.
- Segment and target carefully: Irrelevant content is the top reason people unsubscribe. Send targeted campaigns to engaged segments rather than blasting your entire list with every message.
- Use preference centres: Instead of forcing an all-or-nothing unsubscribe, let subscribers choose which topics they want to hear about. Many will reduce their preferences rather than leave entirely.
- Monitor per-campaign unsubscribe rates: Track which types of campaigns generate the highest unsubscribe rates. If promotional emails drive 2x the unsubscribes of educational content, adjust your content mix accordingly.
Example Calculation
If you send a campaign to 50,000 subscribers, 750 emails bounce, and 85 recipients unsubscribe:
Delivered Emails = 50,000 - 750 = 49,250
Unsubscribe Rate = (85 / 49,250) × 100 = 0.17%
An unsubscribe rate of 0.17% is within the good range and indicates the campaign content and targeting are meeting subscriber expectations.
Related Glossary Terms
A/B Testing
A/B testing in email marketing is the practice of sending two variations of an email to a small sample of your list to determine which version performs better before sending the winner to the remaining subscribers.
Abandoned Cart Email
An abandoned cart email is an automated message sent to customers who added items to their online shopping cart but left without completing the purchase. It is one of the highest-converting email types in ecommerce.
Abuse Complaint
An abuse complaint is a report from a recipient who marks an email as spam, which negatively affects sender reputation and deliverability.
AI Email Summary
An AI email summary is a short, machine-generated overview of an email's key points, shown by Gmail, Outlook and Apple Mail before a recipient opens the message. It is reshaping how email marketers think about subject lines, preview text and open rates.
AI Inbox
An AI inbox is an email client that uses artificial intelligence to summarise, sort, prioritise and sometimes answer emails before the human recipient reads them. It is transforming email marketing metrics and copywriting.
AIDA Model for Email
The AIDA model (Attention, Interest, Desire, Action) is a classic copywriting framework used to structure email campaigns that guide subscribers from awareness to conversion.
Frequently Asked Questions
A good unsubscribe rate is below 0.2% per campaign. Rates between 0.2% and 0.4% are average. If your unsubscribe rate consistently exceeds 0.5%, you need to evaluate your content relevance, sending frequency, and audience targeting. Welcome emails and transactional emails naturally have near-zero unsubscribe rates.
Investigate what changed. Common causes include: increased sending frequency, less relevant content, a shift in content type (educational to promotional), list growth from low-quality sources, triggering a segment that has not been contacted in a while, or seasonal factors like post-holiday fatigue. Compare unsubscribe rates by campaign type, list segment, and time of year.
It is better to let them unsubscribe. Disengaged subscribers who remain on your list do not open, do not click, and are more likely to forget they subscribed and hit spam. A clean list with fewer, engaged subscribers outperforms a large list with many inactive, unhappy subscribers in every meaningful metric.
Track unsubscribes at each step of the workflow and calculate the per-step unsubscribe rate. For lifecycle workflows, you can also calculate the total workflow unsubscribe rate by dividing the total number of people who unsubscribe during the workflow by the total who entered it. High unsubscribe rates at specific workflow steps indicate that step needs optimisation.
Unsubscribe rate measures recipients who voluntarily opted out using your unsubscribe link. Spam complaint rate measures recipients who marked your email as spam using their email client's report button. Spam complaints are far more damaging to sender reputation and should be kept below 0.1%. A good unsubscribe rate is higher than the spam complaint rate — it means people are leaving cleanly.