How to Reduce Email Unsubscribes

No need to rethink your entire email strategy. Small changes lead to big impacts. Here’s what really works:

In fact, 61% of consumers prefer to contact brands via email. So, the question is not whether people like email, but whether the emails you send are in line with their preferences.

1. Let people choose email frequency

Discount options:

  • Weekly Package
  • Once every two weeks
  • Monthly subscription
  • Only for major updates

Set this option on your email bahamas phone number library unsubscribe page or in your email footer. Many users don’t hate your emails—they just want fewer of them.

2. Segment your email list

Stop treating everyone the same. Breakdown by:

  • Purchase History
  • geography
  • Behavior (open, click, ignore)
  • Registration Source

Tailor your emails to what your users actually care about. The more relevant it is, the fewer unsubscribe issues you’ll face.

3. Test your subject lines

A catchy headline may entice users to open your email, but if the email fails to deliver on its promise, users will unsubscribe. Email subjects should maintain the following style:

Controversial topics

We all love an argument, right? It keeps personalized messages are sent using us up at night and forces us to think things through more thoroughly.

A controversial topic headline might be something like: “IIFYM doesn’t work.”

This is controversial because many people follow the “if it fits your macros” approach to weight loss. You’re taking a controversial stance and saying that doesn’t actually work. Just be prepared to back up your controversial opinion.

Always run A/B tests. Even one word can change your open and unsubscribe rates.

4. Check your email frequency

It’s simple. If your email unsubscribe rate goes up, send it less often. Watch your metrics for 2-4 weeks. If your email unsubscribe rate goes down, you’ve found the culprit.

Using a year or month to quantify south africa numbers  something in your email subject line can make it more impactful.

Consider this question: “Do you want to lose weight?”

The answer is probably “yes,” but not in any practical sense.

Let’s make it better: “Do you want to lose X pounds in X months?”

Now, let’s get started. This question quantifies the variables mentioned in the first question, which makes it more powerful.

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