Specialized media is in what may be its most riveting era. The atmosphere is both turbulent and loaded with opportunity for those who make the right investments. There’s a shift away from audience volume and scale, and towards audience identity. There’s a swirl of ideas, advice, and bombast around AI, events, advertising, revenue growth and audience engagement. The discussion around tech stack components, dashboards, and the right products for a fast-changing set of tasks continues to be transformative.
In this confusing environment, it can be difficult to choose your next step. That’s where industry suppliers and thought leaders always help. They have a perspective across the many companies they work with. They know what works and what doesn’t. They’ve developed a clear theory of the case and defensible framework around their approach. We’ve seen Eric Kammerzelt, CEO of Parameter1, a software-as-a-service company based in Fort Atkinson, Wisconsin, several times in the last couple of months at industry events. Included was a presentation at the recent Niche Media Conference in Orlando a couple of weeks ago. Eric always brings clarity of thought and a fresh look at the business case and the business model, especially where it intersects with audience identification and AI.
We spent a few minutes with Eric in late 2024, and were pleased to catch up with him again this month, after the conference. Here’s an edited transcript of our conversation.
Fox Tales: Why don’t internal systems talk to each other, and what can be done?
Eric Kammerzelt: It’s a buying pattern problem as much as a technology problem. Publishers build their tech stacks incrementally. You need a CMS, so you buy one. You need email, so you buy something else. Then an ad server. Then analytics. At no point did anyone sit down and architect these things to share identity data. They were each bought to solve an individual problem.
The result is five systems with five separate databases and five versions of who your audience is. Your email platform doesn’t know what your website knows. Your ad server doesn’t know what your email platform knows. Nobody has the whole picture.
Eric Kammerzelt.
There are two ways to address this. You can invest in integrations to stitch those systems together, which is expensive and fragile and requires ongoing maintenance. Or you can move to a unified architecture where content, audience, advertising, and analytics share a single identity layer from the start. That’s the cleaner answer, but it requires a real platform decision, not another bolt-on.
Fox Tales: Referring to audiences, you use the phrase “who, not how many.” Can you unpack that?
Kammerzelt: The publishing industry spent twenty years optimizing for volume. Page views, clicks, impressions, unique visitors. The implicit promise to advertisers was: We reach a lot of people. Scale was the product.
The problem is that most of those people are anonymous. No name. No email. No job title. No company. Just a number on a dashboard. Advertisers, especially in B2B, have gotten a lot more sophisticated about what that number actually means.
What they want to know now is: Who are these people? Are they actually the decision-makers in my industry? Did they engage with the content? Did they come back? Those are questions volume metrics can’t answer.
“Who, not how many” is the shift from selling reach to selling identity. A publisher who can say “this campaign reached 149 verified professionals in your industry, here are the companies, here’s the engagement” is having a fundamentally different conversation than one handing over a spreadsheet of impressions and clicks. The first publisher commands premium pricing. The second is competing on CPM.
The underlying premise is that a smaller identified audience is worth more than a larger anonymous one. That’s true for advertisers. It’s also true for the publisher’s own editorial and audience-development decisions.
Fox Tales: In presentations, you’ve featured a real-world before/after with a client. Walk us through what changed in that example.
Kammerzelt: WATT Global Media runs several brands in the animal nutrition and agriculture space, including Feed Strategy. When we started working with them, they were in the same situation most publishers find themselves in. Good content, real audience, but the data was fragmented across systems. They knew they had readers. They couldn’t prove who those readers were.
The specific thing we focused on first was registration. Most of their traffic was anonymous. Someone would land from search, read an article, leave. WATT had no idea who that person was.
When we connected the systems and built a proper identity layer with native gating, the registration rate increased 413%. That number surprises people, but it makes sense when you understand what was broken before. Readers were hitting friction, popups, redundant form fields, poor mobile experience. When the gate is built into the content natively and the form is clean, people register. The content was already good enough. The execution was the problem.
The more important outcome is what WATT could do with that audience. Instead of selling anonymous impressions, they could tell advertisers exactly how many verified professionals in a given segment saw a campaign. That changes the conversation. And it changes the pricing.
Fox Tales: The newsletter has been declared dead and then reborn about five times. Where does it actually stand?
Kammerzelt: The people declaring it dead were thinking about it the wrong way. They were treating newsletters as a content distribution channel, a way to push articles to an email list. Evaluated purely as distribution, newsletters look fragile. Open rates fluctuate. Inboxes are crowded. There’s always a newer channel.
But that’s not what a newsletter actually is in B2B publishing. It’s an identity engine.
When someone subscribes to your newsletter, they’ve given you something no other channel provides: A direct, recurring relationship you fully own. No algorithm. No platform fee. No search volatility. And because email is the connective tissue of the web, a newsletter subscriber is the bridge between an anonymous visitor and a fully profiled, cross-channel audience member.
Every newsletter click that comes back to your site is a known person. You can connect that visit to content behavior, ad exposure, event attendance. The profile deepens every time they engage. That’s not distribution. That’s your primary mechanism for building the identified audience that makes everything else work.
The publishers who think of their newsletter list as their most valuable asset are right. Not because email is the sexiest channel, but because it’s the one they actually own.
Fox Tales: What does AI mean for niche B2B publishers? Threat or opportunity?
Kammerzelt: Both, depending on where you look.
The threat is real and it’s already here. AI is making content production dramatically cheaper. Articles that used to take a day to research and write can be drafted in minutes. For publishers whose primary value proposition is volume of content, that’s a serious problem. Content as a moat is eroding fast.
But that same dynamic creates a real opportunity for publishers who’ve invested in audience identity. Here’s the logic: If anyone can generate content, what can’t be replicated? The answer is a verified, first-party relationship with a specific professional audience. A publisher who can say “I know exactly who is reading this, and they’re credentialed professionals who opted in,” has something AI content farms will never have. The identity layer becomes the moat.
The second opportunity is one we’re building toward directly. When you have unified data across content, audience, and advertising, the question becomes: What can you do with it that wasn’t possible before?
A human analyst cannot simultaneously track content engagement trends across thousands of readers, identify which advertiser categories are underpriced relative to recent audience growth, spot high-value audience segments that are quietly drifting before they’re gone, and surface all of that as a prioritized action list before Monday morning. That’s not a reasonable ask of any person.
AI can do exactly that. The multidimensional nature of publisher data, content performance, audience behavior, advertiser campaign results, subscription patterns, all of it intersecting, is precisely where AI finds value that no human analyst working alone would catch.
We built our intelligence brief product around this. A publisher gets a monthly report that leads with three or four specific, actionable findings. Not a data dump. Not a dashboard to interpret. Findings like: “Organic traffic to this content cluster grew 52% but none of it is gated. You’re losing an estimated 390 registrable contacts per month.” Or: “This advertiser category is renewing at rates set 20 months ago, before your audience in that segment grew 26%.”
Those are revenue conversations a publisher can have immediately. The AI found them by looking across data no individual could hold in their head at once.