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Buyer Data
Why 8% Click-Through Is the Number Your Email List Should Be Judged By
The industry average for industrial email campaigns is under 2%. Most marketers accept that as the ceiling. It is not, and understanding why requires looking first at industrial buyer data quality, not just campaign creative or send timing.
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If you’ve run email campaigns in the industrial space, you’ve seen the benchmarks. Open rates around 20–25% on a good day. Click-through rates hovering at 1–2%. Conversion percentages that make the whole exercise feel like shouting into a warehouse.
The assumption embedded in those numbers is that this is how industrial email works — that the audience is disengaged, that buyers don’t click, that B2B in heavy industry is just harder than consumer marketing. That assumption is wrong. The problem isn’t the audience. It’s the list.
Where the 2% Benchmark Comes From
Industry benchmarks are averages. And averages in industrial email marketing are pulled across a wide range of campaigns — some run against owned, well-maintained lists, but most run against rented lists, purchased contacts, and data scraped or aggregated from third-party sources.
When you include campaigns where 30–40% of contacts are outdated, invalid, or simply irrelevant to the offer — the averages collapse. A 1.8% click-through rate across an industry doesn’t mean industrial buyers click 1.8% of the time. It means that, on average, the lists used in industrial email campaigns are clean and relevant roughly that fraction of the time.
Results Data Solutions average click-through rate across industrial equipment campaigns — compared to an industry average of under 2%.
The benchmark isn’t a ceiling. It’s a measurement of how bad most lists are.
The List Problem Nobody Talks About
There are a few ways to build an industrial buyer list. The most common methods — purchasing contacts from data brokers, renting lists from trade associations, or scraping directories — share a structural problem: the data isn’t verified at the point of collection.
When a contact is added to a purchased list, nobody asks them whether they actually buy industrial equipment, what their purchasing authority is, or whether the job title assigned to their record is accurate. The list gets built based on inferred characteristics — company type, SIC code, LinkedIn profile. The resulting record might point to the right company but the wrong person. Or the right person from three job changes ago.
A bad list doesn’t fail noisily. It fails quietly — open rates look acceptable, but nobody clicks because nobody in the audience is actually in a position to buy what you’re offering.
The decay problem compounds this. Industrial email lists purchased or rented today are often built from data collected months or years ago. Job change rates in manufacturing management run at 15–20% annually. A list that was 80% accurate when assembled is meaningfully less accurate by the time a campaign runs against it.
What Self-Reported Data Changes
Our database was built differently, and the difference is specific. Every contact in it was added through a product or service registration survey — completed by the buyer at the point of an equipment purchase or installation. They told us, directly, what equipment category they manage, what their purchasing role is, and what they buy.
That’s not an inferred characteristic. It’s a stated fact, provided by someone with a reason to be accurate — because accurate registration data means they get relevant product information and support. The motivational structure of self-reporting produces better data than any cleaning or verification process applied to third-party records.
The accuracy number — 99.9% — reflects this. It’s not a claim about how aggressively we scrub the database. It’s a reflection of what happens when source quality is right from the beginning.
When a campaign goes out to buyers who self-identified as active purchasers in a specific equipment category, the response profile changes. The people receiving the email are the people who should be receiving it. That’s why click-through rates look different. Not because the creative is better, or the send time is more optimised — because the list contains people for whom the offer is genuinely relevant.
What This Looks Like in Practice
A typical campaign starts with a Count Request — the client tells us the equipment category and any geographic parameters, and we pull the verified count of matching buyers from the database. That number is what the campaign goes out to.
It’s usually a smaller number than what a list broker would quote. That’s the point. A verified audience of 8,000 buyers in the right category produces better results than an unverified list of 40,000 contacts where 15% are relevant. The economics of email don’t reward volume. They reward relevance.
The clients who see the biggest shift in results are generally those who’ve been running campaigns against rented lists for years and are comparing results directly. The click-through differential is measurable within the first campaign. What changes isn’t just the number — it’s the quality of the inquiries that come back. Buyers who clicked through were already operating in the category. They have context. Conversations start differently.
The Bottom Line
If your industrial email campaigns are producing click-through rates at or below the 2% industry average, the most likely cause isn’t creative or strategy. It’s who you’re sending to. The benchmark you’re being measured against is an average of industry-wide list quality — and that’s a low bar worth clearing.
The 8% number we cite isn’t a best-case result. It’s our average across campaigns. The floor is meaningfully above the industry ceiling because the database is built on a different standard of buyer verification. That’s the number to judge a list by.
A Count Request gives you a practical view of market depth using verified buyer data from the Global RDS Database before you spend on outreach.
*To submit a count request, please click the button above. If you experience any technical issues, click here to access the form directly, or email us with any questions.
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