High Open Rate but Low Click Rate? Here’s How to Fix It

Your open rate is 70%. It is genuinely impressive, the kind of number that makes you feel like email is working. Then you look at the click rate and it is sitting under 1%. Sometimes 0.8%, sometimes 0.5%. People are opening everything and clicking on almost nothing.

If that is you, here is the reframe you need. A high open rate with a low click rate is not a mystery, and it is not bad luck. It is a segmentation problem wearing a disguise. Your subject lines are doing their job. The content behind them is not matching the person opening it.

Quick answer: High open rates with low click rates usually mean your emails reach the right inbox but carry the wrong message for that person. The fix is segmentation: sending based on what each customer has actually bought, browsed and how recently, rather than blasting the whole list. Pair that with click-focused testing on your buttons, and you move the number that actually makes money, the click rate.

Why are your emails opened but never clicked?

People open because the subject line spoke to them. They do not click because what is inside does not.

Think about what happens when you send one email to your entire list. Someone who just bought a party dress gets an email about party dresses. Someone who only ever buys baby clothes gets the same email. One of them opens out of habit, sees nothing relevant, and closes it. The open counted. The click never had a chance.

The wider your product range and the more distinct your customer types, the worse this gets. Every unsegmented send is relevant to a slice of the list and noise to everyone else.

A high open rate proves people want to hear from you. A low click rate proves you are not yet telling them the right thing.

What does proper segmentation actually look like?

Segmentation is just sending different messages to different groups based on what you know about them. In Klaviyo, the email and SMS platform built for ecommerce, that “what you know” is deeper than most founders realise, because your Shopify data flows straight in.

You can segment on things like:

• Purchase history. Bought a specific product or collection at least once in the last six months. Bought two years ago but not since. Bought a size small at least once in the last year.
• Browsing and viewing history. Looked at a collection repeatedly but never purchased.
• Life stage and occasion. Someone who buys for a one-off event is a completely different customer to someone who reorders a consumable every few months.
• Exclusions. If someone bought a communion dress last week, exclude them from the communion email. Nothing kills a click rate like selling someone the thing they just bought.

The point is not to build a hundred segments for the sake of it. The point is that the email finally matches the reader. When it does, the click rate climbs on its own.

How do you use RFM to find where the money is hiding?

One of the fastest ways to sharpen your segmentation is a report you already have. It is called RFM analysis, and on Shopify you can find it by searching “RFM analysis” in your reports. No extra app, no extra cost.

RFM stands for recency, frequency and monetary. It sorts your customers into cohorts, loyal, champions, at risk, lost, based on how recently they bought, how often, and how much they have spent.

But the real gold is in the timing data. RFM shows you the average gap between purchases. Here is a pattern that shows up again and again: customers take a long time to make their second purchase, but once they do, the third, fourth and fifth come quickly. That first-to-second gap is where you are losing people.

Once you can see that in the data, you can build a flow specifically to accelerate the second purchase. That is a whole new revenue stream, and it exists because the report pointed at it. Data first, then the flow. Not the other way around.

Want a fast read on where your Klaviyo is leaking revenue? A Mini Klaviyo Audit is a 15-minute personalised video walkthrough of your account. It is $69, delivered in three business days.

If opens are already good, what should you test?

Here is where a lot of people waste their testing energy. They keep tweaking subject lines. But if your open rate is already strong, the subject lines are working. Leave them alone. The next lever is the click, and clicks live in the button.

• Button copy. “Buy now” versus “Discover your timeless white dress”. Short and direct versus descriptive and specific.
• Button placement. High in the email, low, to the side. Whether someone has to scroll to reach it changes everything.
• Button design. Shape and colour matter more than you would expect. Plenty of brands see rounded buttons beat square ones.

You will not guess these right. Nobody does. You test, you watch which emails outperform, and you keep what wins. There should always be a test running somewhere in the account.

Are open rates even worth watching?

Take open rates with a grain of salt. Apple Mail auto-opens emails, which inflates the number, and people can click without ever registering an open. As a precise measure, it is soft.

That does not make it useless. As a guideline it still tells you something: if your open rate is sitting at 50%, real people are opening. If it suddenly drops from 50% to 30%, something happened. The trick is to always compare like with like, same settings every month.

Open rates tell you people are willing to look. The click rate tells you whether you gave them a reason to act. Only one of those pays your bills.

For reference, the benchmarks worth chasing: get your click rate above 1%, then push for 1.5%, and only increase send volume once you are consistently clearing that. On list growth, aim for a pop-up sign-up rate above 3%. And the north star, Klaviyo attributed revenue sitting at 30 to 50% of your total. Under 20% is too low.

Key takeaways

• High opens with low clicks is a segmentation problem. The subject line worked, the content did not match the reader.
• Segment on purchase history, browsing, life stage and occasion, and use exclusions so you never sell someone what they just bought.
• Run the free RFM analysis in Shopify to spot cohorts and the gap between first and second purchase.
• If opens are already good, stop testing subject lines and test the button, its copy, placement, shape and colour.
• Treat open rate as a soft guideline. Chase click rate above 1.5% and Klaviyo attributed revenue of 30 to 50%.