28% Open Rates and 6.5% CTR: How I Made B2B Email Convert

Here are the two numbers from my time running digital marketing at Cleanwatts, a climate tech SaaS selling into energy markets: a 28% average open rate and a 6.5% click-through rate on our segmented B2B email campaigns, with conversion up roughly 10% across the segments we actually targeted. I’ll come back to why the 6.5% is the one I’d put my name on and the 28% is the weaker brag. First, the part nobody running a sad-looking email programme wants to hear: if your B2B email campaigns are underperforming, your subject lines almost certainly aren’t the problem.

Everyone reaches for the subject line first because it’s the cheapest thing to change: swap a few words, add a question mark, run an A/B test on send time, feel productive. Meanwhile the actual reason the email flopped is that it went to 4000 people when it was only ever relevant to 600 of them, and the other 3400 either ignored it or quietly trained their inbox to send you to the promotions tab. That’s the real failure, and you can’t subject-line your way out of it.

Why most B2B email campaigns underperform

The answer is segmentation, or the lack of it. Most B2B email campaigns blast one message to the whole list because it’s faster, then blame the open rate when it tanks, but a generic email to a mixed list is a generic email no matter how clever the subject line is, because the person reading it can tell within two seconds that it wasn’t written for them.

The data backs this up hard: segmented campaigns reliably outperform unsegmented ones, with detailed segmentation driving around 30% more opens and 50% more clicks than batch-and-blast sends. The highest-performing programmes have figured this out and run the opposite of the volume playbook: they send fewer emails to more precisely defined audiences, and they win on relevance rather than reach.

In B2B this matters more than in B2C, because the buying decision is considered, slow, and made by people who get 120 or more emails a day and have zero patience for one that doesn’t speak to their specific problem. A facilities manager at an energy cooperative and a CFO evaluating a SaaS subscription are not the same person, they don’t care about the same things, and an email that tries to talk to both ends up talking to neither. Segmentation is just the discipline of refusing to send that email.

The Sales partnership that made the segmentation work

Here’s the part that actually moved the numbers, and it’s the part marketing teams skip because it means giving up sole control of the list: I built the segments with Sales, not in a vacuum.

Marketing tends to segment by the data that’s easy to pull: industry, company size, job title, whatever the CRM fields happen to be. That gets you tidy-looking lists that don’t map to how anyone actually buys. Sales knows something marketing usually doesn’t: which segments close, which ones kick the tyres for six months and vanish, what objection comes up on the third call, and which problem a given buyer type will actually pay to solve. That knowledge is sitting in the heads of the people on the phones, and it almost never makes it into the email strategy.

So I sat down with the sales team and we defined the segments together; they told me which buyer types were genuinely in-market and what was really driving their decisions, I translated that into messaging and content that matched each segment’s stage and pain, and we agreed on what a good lead from each segment even looked like. The segments stopped being demographic buckets and started being groups of people who shared a buying motivation. That’s the difference between a list and an audience, and it’s why the click-through rate did what it did. I went into how this kind of cross-functional alignment works across a whole content function in the piece on running five buyer personas solo, but email is where the payoff shows up fastest, because the feedback loop is days, not quarters.

What goes inside the email: structure that earns the click

Segmentation gets the right email to the right person. The content inside it is what turns an open into a click, and for considered B2B purchases there are a few things I held to every time.

1. Lead with the point, above the fold, in the first two lines. People spend under ten seconds on a marketing email, and most of them are reading it on a phone, so the value has to land before they’d have to scroll, because if the reason to care is buried under a paragraph of throat-clearing about how excited we are to share an update, it’s dead.
2. Keep it short. A B2B email isn’t a blog post, and it’s not trying to close the deal on its own. Its single job is to earn one click through to what does the real work, whether that’s a case study, a comparison page, or a demo booking. So I wrote to one idea and one action. The fastest way to kill a click-through rate is to stuff an email with five competing calls to action, because a reader facing five choices makes none of them. One clear CTA, phrased as the next logical step for someone at that buying stage, beat every busy multi-link layout I tested.
3. The ask itself had to match the buying stage. An early-stage segment got a link to something genuinely useful with no strings, because asking a cold buyer to book a demo is how you get unsubscribes, a late-stage segment that Sales had flagged as close got a direct, low-friction path to a conversation. The CTA isn’t one-size-fits-all, and segmenting the audience is pointless if every segment gets pushed toward the same generic button.

The open rate is lying to you, so read the click instead

Now, why the 6.5% is the number I trust and the 28% open rate is the one I’d caveat.

Apple’s Mail Privacy Protection has been quietly wrecking the open rate as a metric since 2021. It pre-loads email content and tracking pixels before a human ever looks at the message, which means a chunk of every “open” you’re counting is a machine, not a reader. The distortion is well documented: one study of more than 80K accounts found reported open rates jumped roughly 18 points after MPP rolled out, and Apple Mail makes up close to half of all email clients. So when you see all-industry open rates sitting north of 40% these days, a real slice of that is privacy-tool inflation, not engagement.

Against that backdrop, a 28% open rate doesn’t look like a headline. But two things make it hold up: B2B SaaS opens run lower than the inflated all-industry average to begin with, and our number came off a properly segmented list rather than a list padded with people who’d stopped caring. A clean 28% on an engaged, segmented audience is worth more than a flattering 45% on a bloated one.

The click is where the truth is, because a click is much harder for a privacy tool to fake than an open. Most benchmarks put the average B2B email click-through rate somewhere between 2% and 4%, and even top-decile programmes tend to land around 5%. A 6.5% CTR sits past that; it’s roughly double the B2B average, and it’s the metric I’d actually defend in a job interview, because it measures whether the content was relevant enough to make a busy buyer do something, which is the entire point of the email.

How I measured email’s contribution to pipeline

The 10% conversion lift across our targeted segments is the number that ties email to money, and it’s also the one I’m most careful about claiming, because B2B email rarely deserves sole credit for a closed deal.

Email is almost always an assist rather than the last touch. The buyer reads the email, clicks through, comes back three weeks later from a search, talks to Sales, and converts. If you run last-touch attribution you’ll either massively over-credit or completely ignore email depending on where it happened to fall in the chain, and both readings are wrong, so I tracked email’s contribution through the segments themselves: conversion rate within each targeted segment before and after the segmentation overhaul, click-through to the high-intent pages, and what Sales reported back about lead quality from email-sourced contacts. The roughly 10% lift was the movement in conversion across those segments once the messaging actually matched the buyer, not a claim that email closed the deals on its own.

That framing is important because email’s real strength in B2B is velocity and lead quality rather than volume. Email-sourced leads tend to convert faster and move through the pipeline quicker than the blended average, because a well-targeted email keeps an already-interested buyer warm and moving; I made the broader argument about attributing content honestly to pipeline in what 48% marketing-sourced pipeline actually looks like, and email is a smaller, sharper version of the same problem: credit it for the assist it genuinely made, and leave the rest of the credit to the touches that earned it.

How much personalisation is actually worth it?

There’s a spectrum of personalisation, and most of the effort people pour into it goes to the wrong end.

The low-value end is the cosmetic stuff: dropping {{first_name}} into the subject line and calling it personalised. It’s cheap, every inbox has seen it ten thousand times, and a buyer can smell the mail-merge. It doesn’t hurt, but it does almost nothing, and teams treat it like it’s the main event.

Relevance sits at the high-value end, and it’s really just segmentation done well; an email that speaks to the specific problem a buyer type is trying to solve, references the world they actually work in, and offers the next step that makes sense for their stage feels personal even if it never uses the recipient’s name. That’s the personalisation that moved our click-through rate, and it scales, because you’re personalising to a segment of hundreds rather than hand-crafting one email at a time.

Overkill lives at the far end: one-to-one customisation on broadcast sends, bespoke copy for individuals who haven’t signalled enough intent to justify the hours. That’s a fine use of a salesperson’s time for a hot prospect, and a terrible use of a marketer’s time across a list; the trick is knowing where on the spectrum a given send sits, and spending the effort on relevance instead of on tokens that look clever in a demo.

What I’d change now

Two things, if I were rebuilding that email programme today.

1. First, I’d lean even harder off the open rate as a success measure and build reporting for the B2B email campaigns around clicks, click-to-open, and downstream conversion from the start, rather than letting anyone on the team feel good about an MPP-inflated open number. The metric stopped being trustworthy years ago and the reporting should reflect that.
2. Second, and this is the bigger one, I’d shift more of the programme from scheduled broadcasts to behavioural automation. The data on this is hard to ignore: trigger-based automated emails dramatically outperform batch sends, with automation click-through rates running roughly three times higher than standard campaigns, because they fire when intent is hot instead of when the calendar says so. An email that goes out the moment a buyer visits the pricing page or finishes a case study is working with the buyer’s own timing. We did a lot manually that should have been a triggered flow, and that’s the first thing I’d fix.

The throughline across all of it is the same point I started with: B2B email campaigns that convert aren’t built on subject-line tricks or clever send times, they’re built on knowing exactly who you’re writing to, which is a thing Sales can tell you if you ask, and then writing something worth the click and measuring whether you got it. I covered the wider story of running that whole function solo in 60+ marketing pieces in 18 months, and the channel-by-channel version of this same discipline on social in the LinkedIn playbook that hit 12% engagement.