How to Improve Your Email Unsubscribe Rate

KPIs are an essential part of a robust strategy. If you’re not measuring and tracking the results of the campaigns, you’re losing out on valuable data that can help your business grow. A KPI you should consider tracking is your email unsubscribe rate, which shows how often people opt out of your emails. But how do you calculate your unsubscribe rate, and why does it matter?

Understanding unsubscribe rates and their impact

The unsubscribe rate is a critical metric in email marketing that indicates how well your content aligns with your audience’s interests. It represents the percentage of subscribers who decide to stop receiving your emails.

Unsubscribe rates matter because they reveal whether your emails continue to meet subscriber expectations. A higher unsubscribe rate may suggest issues with content relevance or email frequency, indicating that adjustments may be necessary.

Monitoring this rate helps enhance marketing effectiveness by refining content strategies and audience targeting to better match subscriber preferences. You can then try strategies like AI-driven segmentation to improve open rates and engagement, giving subscribers fewer reasons to unsubscribe.

What is an email unsubscribe rate?

An email unsubscribe rate measures the share of delivered emails that result in someone leaving your mailing list. Most marketers track this metric across individual campaigns over time to spot changes in subscriber retention. Comparing these trends helps you identify campaigns in need of a closer look.

Simply put, an email unsubscribe rate reveals how many users opt out of your campaigns. This percentage-based metric provides insight into the success of your emails and whether recipients view them as spam. Ideally, a low unsubscribe rate is preferred, as it boosts deliverability. In other words, more of your emails land in inboxes instead of spam folders.

Conversely, a high rate could imply spam-like emails, potentially leading to them being caught by spam filters. For instance, if you send 1,000 emails and 7 opt out, the unsubscribe rate is 0.7%, which might indicate a disconnect with your target audience.

Industry benchmarks for unsubscribe rates

Industry benchmarks for unsubscribe rates show how your results compare with businesses in a similar field. It’s important to look at benchmarks for your industry because subscriber expectations and email habits can differ across audiences. Even so, you should use these figures as a reference point rather than a strict target for every campaign.

Understanding industry benchmarks for unsubscribe rates can help you evaluate your email strategies effectively. Different industries have varying average unsubscribe rates, typically ranging from 1% to 2%. If your rate is significantly higher, it may be time to reassess your email content and frequency.

Regularly reviewing these benchmarks allows you to stay competitive and ensure your emails resonate with your audience. Consider using tools like Mailchimp to track and analyze your unsubscribe rates alongside other key performance indicators.

What is considered a good unsubscribe rate?

A good unsubscribe rate depends on your industry. Audience type, email frequency, and campaign purpose can all influence what qualifies as a good result. Because of these differences, use relevant industry benchmarks as a starting point. Then, consider the context behind your results when evaluating your email performance.

We’ve studied customers of all types to provide email marketing benchmarks that help you understand the average unsubscribe rate for your industry. As of December 2023, average unsubscribe rates across industries range from about 0.15% to 0.22%. But don’t worry if your rates are slightly higher or lower than the average.

However, if your unsubscribe rate is much higher than the industry average, it could indicate that your emails aren’t effective. If this is true for your business, you should understand why your unsubscribe rates are so high and find ways to lower them.

Keep in mind that changes to email platforms can also affect your results. Gmail launched Manage Subscriptions in July 2025, making it easier to view frequent senders and unsubscribe. Salesforce reports that some senders have seen unsubscribe volumes nearly double since Gmail began rolling out the feature.

How to calculate unsubscribe rate

Now that you understand what a good unsubscribe rate is, you should learn how to calculate it. To calculate your unsubscribe rate, divide the number of unsubscribed users by the number of emails delivered. Then, multiply that number by 100 to get a percentage.

Luckily, most email marketing automation tools will calculate your unsubscribe rate for you. In addition, you can make reports by email campaign, month, or quarter to help you understand how many subscribers you’re losing.

Why do people unsubscribe from email marketing?

You must collect emails by letting subscribers opt in on your website or through another verifiable method. Gone are the days when you could purchase email lists from other companies.

Now, ISPs are more intelligent, and consumers are no longer as trusting as they once were. Therefore, if you purchase an email list, you’re likely to have high unsubscribe rates, which signals to ISPs that you’re sending spam.

If you’re collecting emails properly and users know what to expect, you might wonder why your email unsubscribe rates are so high. There are several reasons why people unsubscribe from email marketing, including the following:

• Incorrect expectations: When people sign up to receive your emails, they have certain expectations. If your emails don’t meet those expectations, they’ll unsubscribe.
• Poor design: Poor email marketing design can make users feel like your business can’t be trusted because it’s not creating quality, relevant content. Users may unsubscribe if your emails aren’t easy to understand and read.
• No segmentation: Email segmentation allows you to effectively target your audiences based on your campaigns. Targeting the wrong people with an offer can make them unsubscribe. For example, if you send a B2B business an offer for consumers only, they’re likely to unsubscribe even if you offer B2B products and services.
• Spamming: Email frequency also plays a role in your unsubscribe rate. Sending too many emails can make users feel like you’re spamming their inboxes.

How to use AI to improve email unsubscribe rates

Smart email marketing tools use artificial intelligence (AI) features to keep people on your list. Instead of guessing why people leave, AI helps you spot problems and send better emails using predictive analytics. The key benefits include fewer unsubscribes, stronger engagement, and more conversions from every email campaign. Here are 4 ways to use AI to lower your unsubscribe rate.

Identify subscribers at risk of leaving

AI can spot subscribers who are losing interest before they click Unsubscribe. Known as churn risk scoring, it watches for warning signs like fewer opens, longer gaps between clicks, and less time on your site. The predictive analytics tools then flag these at-risk contacts so you can win them back.

Under the hood, churn risk scoring uses machine learning to compare each subscriber’s recent behavior to historical patterns. The more their current behavioral data deviates from their own baseline, the higher their risk score.

Related tools like engagement scoring, predicted lifetime value, and RFM (recency, frequency, monetary value) analysis work alongside churn scores to give you a fuller picture. Together, they help you spot who’s at risk versus who’s going through a normal quiet stretch.

Optimize email send times

Timing can make or break your email campaigns. If your email lands in the middle of a frantic workday, people might delete it unread or opt out to clear the clutter. Late-night sends also cause problems because newer messages bury them before subscribers check their inboxes.

AI email marketing tools prevent poor timing from hurting engagement by analyzing when subscribers typically interact with your emails. Known as send time optimization, this feature uses past engagement data to predict the best time to send your campaign.

Enable it for your next newsletter, send a few to learn your audience, and track the impact on your open and unsubscribe rates. Over time, this small change can lift opens and cut the unsubscribes that come from bad timing alone.

Create more targeted segments

Sending generic blasts to your entire list usually leads to fast opt-outs. Predictive segmentation uses AI to analyze past purchases, browsing habits, and email engagement. It then identifies patterns and groups subscribers based on their predicted behavior.

You can then use AI-based email marketing tools to personalize your messaging for each group. Start with different content and offers for each segment, then let AI help you refine your approach. Natural language processing tools can also help you create tailored copy for each group while writing in your brand voice.

For example, a software company might group subscribers into free trial accounts, paying customers, and inactive users. Then, send helpful setup tutorials to trial accounts, product updates to paying customers, and a winback offer to inactive users. Tailoring the content and subject line keeps each group engaged and naturally reduces unsubscribe rates.

Personalize customer journeys

Rigid, static email sequences fail when a subscriber’s interests shift. And it happens more than you might think. AI-powered customer journeys adapt to these changes by sending subscribers down different paths based on their email activity, browsing behavior, or purchase history.

For example, a new subscriber who clicks a product link might get a follow-up with a discount. But someone who ignored 3 emails in a row might get a preference email that lets them choose topics or reduce email frequency.

All you need is an AI email marketing tool with a customer journey builder. It handles the branching for you, based on purchase history, engagement, or predicted behavior. As subscribers engage in their custom email journey, the personalized content gives them more reasons to keep opening and interacting with your messages.

6 strategies to reduce email unsubscribe rates

Email marketing AI features work best when your fundamentals are in place. If your unsubscribe rate is higher than you’d like, use these 6 strategies—some hands-on, some AI assisted—to keep more subscribers on your list.

Avoid purchasing email lists

Buying email lists can lead to high unsubscribe rates because recipients haven’t opted in, and they’re unfamiliar with your brand. It can also harm your domain reputation—the trust score mailbox providers like Gmail assign to your sending domain—which hurts future email deliverability.

People who never asked to hear from you may also mark your emails as spam. These spam complaints can further damage your reputation with inbox providers. Instead, follow email list best practices by using clear opt-ins so subscribers know what they’re signing up for and then expect to hear from you.

Make it easy for people to leave when they want to. Include a visible unsubscribe link and use a List-Unsubscribe header to support one-click unsubscribes. Give subscribers some control, too, with a preference center introduced in your welcome emails. This allows customers to choose topics and adjust how often they hear from you, reducing unwanted emails and improving the subscriber experience.

Target your audience wisely

Segmenting your email list allows you to reach specific audiences with tailored content, reducing unsubscribes by enhancing relevance. Segmented campaigns also earn 34.7% higher open rates and 26.5% more orders than non-segmented blasts, according to Omnisend.

AI can take targeting further with churn risk scoring. These tools identify subscribers who show signs of disengagement so you can reach them with a re-engagement campaign before they leave. For example, an at-risk shopper might get a personalized email featuring items they’ve browsed before, paired with a limited-time discount.

Pair that with a sunset policy, where you set a rule for removing subscribers who haven’t opened your emails in 90 or 180 days. Regular list cleaning protects your deliverability and keeps your engagement metrics high.

Personalize your communications

Personalized emails resonate better with recipients, making them less likely to unsubscribe. Personalization has become common among major ecommerce businesses, shaping consumer expectations for more relevant communications.

For example, Nike uses predictive analytics to recommend products based on customer data and behavior. After acquiring a predictive analytics company in 2018, Nike used this technology to support its direct-to-consumer (DTC) efforts. By 2023, DTC sales reached 44% of its brand revenue.

You can use a similar creative strategy in your email program with dynamic content blocks that change based on subscriber data. Then, use behavior-based triggers to send relevant messages at just the right time. In 2025, Moengage reported that these behavior-based emails can drive conversion rates up to 300.7 times higher than non-personalized emails. And stronger email engagement means fewer unsubscribes.

Seek subscriber feedback

Use surveys to gather insights on preferred email content. This helps adjust your strategy to align with subscriber expectations, reducing unsubscribes and boosting engagement. It doesn’t have to be complicated, either. Usually, all it takes is a quick, single-question survey on your unsubscribe page to gauge satisfaction.

To gain a deeper understanding, use AI-driven sentiment analysis tools to review feedback from surveys automatically. These tools can group responses by positive, negative, or neutral sentiment for your immediate review. Plus, they uncover recurring concerns across large volumes of feedback so you don’t have to dig for answers.

Most importantly, act on what subscribers tell you. If they consistently ask for fewer promotions, try delivering more educational or entertaining content instead. Then, monitor engagement to see whether the change gives subscribers more reason to stay.

Optimize for all devices

Subscribers read emails across smartphones, tablets, and desktop computers. Use responsive email templates with single-column layouts and legible fonts to deliver a seamless reading experience across all devices.

Don’t stop with the email design. Keep subject lines short enough for subscribers to read on smaller screens. Using AI to draft subject lines helps you develop stronger options, while A/B testing reveals which versions earn the most opens. Also, keep your body copy concise and break up longer sections so subscribers can easily scan your message on any screen.

Test the complete email before sending it to your full list. Check links, images, formatting, and calls to action (CTAs) across devices to catch problems that could frustrate subscribers. A smooth experience makes your emails easier to engage with and gives subscribers 1 less reason to opt out.

Experiment with email frequency

Strike a balance in email frequency based on subscriber preferences. If unsubscribe rates are high, consider reducing the frequency of emails while maintaining relevance. Use real-time analytics to watch how engagement patterns change as you adjust your schedule.

If opens and clicks fall as you send more often, your subscribers may be experiencing email fatigue. You can then adjust your sending schedule to find the optimal frequency. Also consider using send time optimization tools to find the perfect moment for each email to land.

You can also test different sending schedules for various audience segments. For instance, engaged buyers might welcome weekly emails while inactive subscribers may only want a monthly update. Matching frequency to behavior keeps your list healthy and helps improve the overall customer experience.

Other email marketing KPIs to track

Your email unsubscribe rate can tell you a lot about your campaigns. But it won’t help you understand your email performance and audience unless you track other KPIs with it. Other email marketing stats to track include the following:

• Open rate: Your open rate will tell you how many people open your emails per campaign. You may re-evaluate your subject line to encourage more opens if you have a low open rate.
• Click-through rate (CTR): CTR tells you the percentage of users who have clicked your emails. This number reveals whether users engage with your emails and whether you need to alter the design or offer to encourage more clicks.
• Bounces: Your bounce rate measures how many emails fail to reach subscribers’ inboxes. Bounces fall into 2 categories: hard bounces (permanent failures, like invalid email addresses) and soft bounces (temporary issues, like a full inbox or a server outage). Remove hard-bounced addresses right away, since having too many bounces hurts your sender reputation and future email delivery.

Avoid spamming your email subscribers at all costs

A high email unsubscribe rate can hurt future email marketing campaigns and increase the risk of your emails landing in spam folders. Therefore, keeping your unsubscribe rate low is crucial to avoid spamming your subscribers. You can lower your rate by personalizing emails, segmenting your audience, and finding new ways to engage subscribers.

Mailchimp gives you the tools to understand your unsubscribe rate, manage subscribers, and create engaging, personalized campaigns to increase opens and clicks. With the right platform, you can take control of your email marketing strategy, keep subscribers engaged, and drive better results from every campaign.

Frequently asked questions

How do I calculate unsubscribe rates?

Divide the total number of people who unsubscribed by the number of emails delivered, then multiply by 100. For example, if 5 recipients opt out from 1,000 delivered emails, your rate is 0.5%. Most email marketing platforms calculate this for you in your campaign reports.

What is a good unsubscribe rate for email campaigns?

A good unsubscribe rate generally stays below 0.5%. Mailchimp benchmark data shows average unsubscribe rates typically range from 0.15% to 0.22% across industries, including ecommerce brands. To keep opt-outs low, focus on behavior-triggered automation. These personalized emails generate conversion rates nearly 3 times higher than standard broadcast emails, according to Moengage.

How can AI automate email marketing?

AI can automate repetitive tasks like analyzing engagement, creating audience segments, and personalizing email content. Natural language generation tools can also help draft tailored messages. More advanced generative AI tools may use AI agents to complete multistep workflows, while keeping human intervention available when most teams need more control.

Can AI tools help reduce unsubscribe rates?

Yes. AI tools use predictive segmentation and dynamic content to personalize emails for each subscriber. When messages match actual buying intent, subscribers engage rather than leave. According to the 2026 “State of Email” report by Litmus, advanced AI adopters are 75% more likely to see email returns above 45:1. This shows the potential value of more relevant, AI-driven campaigns.

Can AI email marketing tools increase open rates?

Yes. AI email marketing tools can help increase open rates by improving subject lines and personalization. With AI-driven subject line optimization alone, you can increase open rates by 20% to 40%, according to monday.com. You can also A/B test different subject lines to identify which versions generate the most engagement. In many cases, shorter works better, especially on mobile devices.

Why do people unsubscribe from email marketing lists?

Subscribers usually leave due to irrelevant content, overwhelming message frequency, or changing interests. Understanding the exact reasons your own subscribers leave can help you improve future campaigns. To do that, consider using AI-driven sentiment analysis to categorize feedback from departing subscribers and reveal common concerns.