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Are Email Open Rates a Vanity Metric In 2026?

Are Email Open Rates a Vanity Metric In 2026?

Published By Marilia Dimitriou
May 27, 2026

Open rates have always been an easy win to point to. You open your report, see a solid number, and it feels like things are working exactly as they should.

But when you think about how people actually handle their inbox, that number starts to lose its meaning.

Take me, for example. I open almost every email just to clear my inbox, but most of those messages barely get a second of attention.

So, if an email can be opened, cleared, and forgotten in a flash, then that number says less about engagement and more about habit.

Which brings us to the burning question: are email open rates a vanity metric?

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Why Open Rates Became the “Go-to” Metric

At face value, open rates answer whether the subject line was compelling enough to get your email opened.

A high percentage is often seen as success, giving marketers a clear, easy-to-report result to stakeholders.

But that’s only part of the reason they stuck. They also:

  • Provide an early signal: Before automation, tracking, and advanced analytics, open rates gave marketers something to work with.
  • Make performance easy to understand: You can share them with anyone, and they make sense instantly, regardless of data expertise.
  • Make subject lines feel measurable: When you test a variation, you see the open rate change, and this feels like progress.
  • Work well as benchmarks: Teams can compare open rates across industries, campaigns, and time periods without needing much context.
  • Create a sense of control: You send a campaign, check the metric, and optimize based on it. This makes the process feel simple and manageable, especially for beginners.

But, as mentioned earlier, there’s a catch.

The Problem with Open Rates Today

A few years ago, if someone opened your email, it usually meant they chose to. However, that’s no longer the case. Systems now play an equally important role.

Privacy features and inbox behaviors, for instance, can trigger an open without any real intent. So while the number still moves, it doesn’t always reflect a conscious decision to engage.

We’re seeing the same pattern elsewhere, too. Security systems automatically scan emails and click links, which can even lead to false clicks or unexpected unsubscribes. This is a reminder that not every “open” and “click” in your report comes from a real person.

But even when the open is real, it can only tell you the email was accessed, not whether it was read, understood, or acted on. You can see this clearly in real campaign data:

email open rates

While the open rate reached over 12%, which on the surface looks like a good result, the click rate was just 0.09%. That gap tells a very different story. People opened the email, but almost no one engaged with it.

This is exactly where open rates can mislead. The campaign looks successful at first, but the outcome doesn’t really back it up.

That’s where things start to go off track. When you rely solely on open rates:

  • Subject lines get more attention than the content that follows.
  • Engagement and conversions become secondary.
  • Campaigns appear successful but fail to deliver real results.
  • Decisions move away from what actually drives the business.

The Metrics that Tell the Full Story

So, if open rates don’t give you the full picture, what should you look at instead?

The answer is a combination of email marketing metrics that show what people actually did after opening.

1. Click-through rate (CTR)

CTR shows whether people took the next step, moving the conversation from “they opened” to “they engaged.”

If your open rate is strong but the CTR is low, your subject line did its job, but the content or calls-to-action didn’t follow through. If both are strong, your message landed as it should.

2. Click-to-open rate (CTOR)

Click-to-open rate (CTOR) shows how many people clicked on your email out of those who opened it.

It ignores everyone who didn’t open it, so you can focus only on what happens inside the email. If people open but don’t click, your subject line worked, but your content or email design didn’t. CTOR helps you spot that.

3. Conversion rate

This is where things get real. Conversion rate shows whether the email led to an actual action, whether that’s a purchase, a signup, a webinar registration, or something else.

Clicks can show interest, but conversions show the impact. They tell you if your email didn’t just get attention, but actually moved someone to do something that matters to the business.

4. Revenue per email/campaign

For eCommerce, this metric answers a simple but important question: what did this campaign actually generate?

You can have average opens and clicks, and still see strong revenue. That’s because this metric looks beyond activity and focuses on outcomes. It shows whether your emails are not just being seen or clicked, but actually driving value.

5. Unsubscribe & spam complaints

Open rates might show that people noticed your email, but these metrics show when that attention turns negative.

A spike in unsubscribes or spam complaints usually happens due to irrelevant content, poor targeting, or over-sending. Ignoring them can hurt both your performance and your email deliverability over time.

Taken together, they show you what that attention actually led to, so you can improve your strategy.

How to Use Open Rates the Right Way

To use open rates effectively, you need to look at them in context. Not all emails are built with the same goal, so the way you interpret them should change, too.

For action-driven email campaigns

Open rates still have a place here, but only as a starting point.

They’re useful when you’re testing elements at the top of the email, like subject lines, sender names, or timing. If a new subject line drives more opens, that’s a good signal.

But it’s only the first step. What matters is what happens next. Did people click? Did anything happen after that?

For example, you might test two subject lines and see one clearly wins in opens. At first, it looks like a hit, but if clicks and conversions stay the same or even drop, nothing has really improved. You got more attention, but not more action.

Looking at single campaigns won’t get you far either. Detecting patterns matters more.

If opens stay steady but clicks drop, something inside the email isn’t working as expected. If opens drop but conversions and revenue increase, you may be reaching fewer people, but the right ones.

Here’s how to approach open rates in action-driven campaigns:

  • Check clicks to confirm interest: See if people actually engaged with the content after opening.
  • Look at conversions to see if it worked: This shows whether the email led to a real action, such as a purchase or a signup.
  • Review revenue to understand impact: Evaluate the value of those actions and whether the campaign contributed to business results.
  • Look at retention to see if it lasts: See if people come back or continue engaging beyond that one interaction.

But what if your email isn’t meant to drive clicks?

For zero-click newsletters

In some cases, like zero-click newsletters, the goal is to deliver value directly in the inbox. There’s nothing to click, and that’s intentional.

Here’s an example from Masters in Marketing:

masters in marketing zero-click newsletter example

This changes how you use open rates. Instead of focusing on what happens next, you look at whether people keep coming back. Steady opens over time, and consistent subscribers show that the content is still working.

When that’s the case, the email is doing its job. A drop in open rates usually signals that the content is becoming less relevant. That’s where you need to step in. Revisit your topics, adjust your format, and test new angles to see what brings readers back.

In a nutshell, if your goal is to drive action, open rates are just the starting point. If you’re offering value inside the email itself, open rates become part of the result.

So, Are Open Rates a Trustworthy Metric?

For a long time, open rates have served as a simple metric for measuring progress. But the way people use their inboxes and how emails are processed has changed, yet the metric hasn’t kept pace.

That doesn’t make open rates useless. They can still help you understand what gets attention and assist with quick optimizations.

The problem starts when they stand on their own. Used in isolation, they can quickly become a vanity metric. But when you look at them alongside clicks, conversions, and outcomes, they become useful.

That’s when numbers stop piling up and start showing you what works.

FAQs

Below are some common questions about open rates.

1. Why are email open rates becoming less reliable?

Open rates are less reliable today because they’re influenced by privacy features and automated systems. Tools like Apple Mail Privacy Protection preload email content, which can register an open even if the user never reads the message. As a result, open rates no longer reflect clear user intent.

2. Can you still use open rates to improve email performance?

Yes, but only in specific cases. Open rates are still useful for testing subject lines, sender names, and send times. However, they should always be paired with metrics like clicks and conversions to confirm whether the improvement is meaningful.

3. What is a good alternative to open rates for measuring engagement?

There isn’t a single replacement. Instead, engagement should be measured through a combination of metrics such as click-through rate (CTR), click-to-open rate (CTOR), and conversion rate. These metrics show what users actually do after opening an email.

4. How can you tell if a campaign truly performed well?

A campaign performs well when it drives action. Strong performance usually includes healthy click rates, solid conversions, and measurable business impact like revenue. Open rates alone can’t confirm this.

5. Should you stop reporting open rates altogether?

No, but their role should change. Open rates can remain in reports as a supporting metric, helping you spot trends or test top-level elements. They shouldn’t be used as the sole indicator of success or as the basis for key decisions.

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