Building a Multi-Vertical Media Portfolio from Scratch

When I started NorthRadar Media, the founding thesis was simple: the B2B operations software landscape is enormous, the quality of independent research covering it is poor, and there is a viable business in closing that gap. What was less simple was figuring out how to actually do it — how to identify the right verticals, build editorial operations that produce genuinely valuable research, and scale across multiple properties without sacrificing the depth that makes each one worth reading.

This article is a transparent look at how we have approached building NorthRadar's portfolio of vertical media properties. Not a theoretical framework or a case study polished for presentation — but the actual process, including the decisions that were straightforward and the ones that required iteration. If you are building a media company, a content operation, or thinking about launching a vertical publication, this may be useful.

Starting with Market Selection

Not every vertical is a good candidate for an independent media property. The opportunity has to exist at the intersection of several conditions, and evaluating those conditions was the first challenge we needed to solve.

The Criteria We Use

Our vertical selection process evaluates five factors, roughly in order of importance.

Software market density. The vertical needs a sufficient number of active software vendors to support ongoing editorial coverage. If there are only three or four products in a category, there is not enough surface area for sustained research publishing. We look for categories with at least twenty to thirty active vendors, because that density creates enough comparison opportunities, enough product differentiation to analyze, and enough buyer confusion to justify independent research.

Buyer pain around evaluation. We specifically look for categories where buyers report difficulty finding trustworthy information to inform their purchasing decisions. This is different from categories where the products are complex — complexity alone does not create a media opportunity. The opportunity exists when buyers are actively searching for guidance and the existing content ecosystem is not meeting their needs. We assess this through direct conversations with operations professionals, analysis of search demand patterns, and evaluation of the existing content landscape in a category.

Advertiser willingness to pay. A media property needs revenue, and in our model that comes primarily from vendors who want to reach the audience we serve. We evaluate whether vendors in a category are actively spending on content marketing, event sponsorships, and digital advertising. If the vendor ecosystem is not investing in reaching buyers through content channels, the commercial viability of a media property is limited regardless of how strong the editorial opportunity is.

Existing competition. We look at what independent coverage already exists in a vertical. If there is already a well-established, high-quality independent publication serving a category, the incremental value of another one is lower. We focus on verticals where the existing coverage is either nonexistent, dominated by vendor-sponsored content, or spread across generalist publications that do not cover the category with sufficient depth.

Operational adjacency. As a portfolio, we benefit when our verticals share some operational overlap. Properties targeting operations professionals across different functions — finance ops, HR ops, IT ops, sales ops — share audience characteristics, content methodologies, and even some reader overlap. This adjacency creates cross-property efficiencies that we would not get from a random collection of unrelated verticals.

How This Played Out

Our initial portfolio — PeopleOpsClub, FinanceOpsClub, ITOpsClub, FleetOpsClub, and SalesOpsClub — reflects these criteria in action. Each vertical has a dense software market with dozens of competing platforms. Each has a clear buyer research gap where operators report difficulty finding trustworthy comparisons. Each has an active vendor marketing ecosystem. And all of them share the "operations technology" thread that creates cohesion across the portfolio.

We did not launch all five simultaneously. We started with the verticals where our evaluation indicated the strongest combination of opportunity factors, then expanded as we validated the model and built operational capacity. This staging was important — each launch taught us something that improved the next one, and trying to do everything at once would have spread our editorial resources too thin to achieve the depth that makes each property valuable.

Editorial Development: Building the Research Engine

The most critical part of building a vertical media property is the editorial operation. Get the content wrong and nothing else matters — you will not build an audience, you will not earn trust, and you will not create commercial value. This is where we invested the most time and iteration.

Developing the Content Architecture

Each property needs a content architecture that serves the buyer's research journey from initial category exploration through specific product evaluation. We structure this around four content types, each serving a different stage of the buyer's process.

Category overviews help readers understand the solution landscape. What types of products exist in this category? What are the major architectural approaches? What should a buyer understand about the category before evaluating specific options? These pieces provide the contextual foundation that makes everything else more useful.

Product comparisons are the core of what we publish. These are detailed, side-by-side analyses of competing products within a category or sub-category. They follow a consistent evaluation methodology, disclose their criteria, and provide specific assessments — not just feature lists — of how each product performs against those criteria. Building a comparison methodology that is both rigorous and readable was one of the most challenging editorial problems we solved.

Individual product reviews go deep on a single platform. These are longer, more detailed than what appears in a comparison, and they address specific use cases, scaling characteristics, integration ecosystem, and pricing dynamics. They are useful for buyers who have narrowed their shortlist and want deeper information about a specific option.

Operational guides address the broader context around software decisions — implementation considerations, change management, workflow design, and category best practices. These are not product-specific but category-specific, and they serve the reader's need to understand not just which tool to buy but how to successfully deploy and use it.

This four-type architecture gives each property a comprehensive content structure from day one. Every new piece we publish fits into this framework and reinforces the property's value as a research destination. Over time, the interlinks between these content types create a resource that is more valuable than the sum of its individual articles.

Building Editorial Expertise

Publishing genuinely useful B2B research requires domain expertise. This was a non-negotiable principle from the start, and it has significant implications for how we build editorial teams.

We do not hire generalist freelancers to write category research. Every piece of content is either written or substantively reviewed by someone with genuine operational experience in the vertical. For our HR technology property, that means people who have actually evaluated, implemented, and managed HRIS platforms. For our finance operations property, it means people who understand AP automation workflows, ERP integration patterns, and the real challenges of mid-market finance operations.

This approach is more expensive and slower than the freelance-at-scale model that most B2B publishers use. We accept that trade-off because the quality difference is not marginal — it is the difference between content that operators trust and content they dismiss. An experienced finance ops professional can identify the nuances in an AP automation comparison that a generalist writer would miss entirely. Those nuances are exactly what the reader needs and cannot find elsewhere.

Building these editorial capabilities across multiple verticals simultaneously is one of the hardest operational challenges of the multi-vertical model. Each new property requires domain-specific expertise, and that expertise does not transfer directly across verticals. An IT operations expert cannot write authoritative HR technology comparisons. This means each property needs its own editorial foundation, which creates real constraints on how quickly we can launch and scale new verticals.

The Research Process

Our research process follows a consistent methodology across properties, adapted for each vertical's specific characteristics. For product comparisons, the process typically involves direct product access where possible (trial accounts, demo environments, sandbox instances), vendor briefings to understand roadmap and positioning, analysis of public documentation, community feedback, and user interviews.

We are transparent about which of these inputs we had access to for any given comparison. If we could not get hands-on access to a product, we disclose that. If our analysis is based primarily on public documentation and user interviews rather than direct testing, we say so. This transparency costs us nothing and gives readers the information they need to calibrate how much weight to place on our findings.

The research process is deliberately slower than what most publishers consider acceptable. A thorough category comparison can take weeks to research, write, review, and publish. We could publish faster by cutting corners, but the result would be content that looks like everything else in the market — and the entire point of our properties is to be better than everything else in the market.

Operations and Infrastructure

Running multiple media properties under one company creates operational challenges and opportunities that differ from running a single publication.

Shared Infrastructure, Independent Editorial

Our properties share common infrastructure — the technology stack, analytics, SEO methodology, design systems, and business operations. This creates significant efficiency. We do not need to reinvent the publishing stack for each new vertical. Template structures, content management workflows, and distribution systems are built once and deployed across properties.

Editorial operations, however, are deliberately independent. Each property has its own editorial priorities, content calendar, and voice. The comparison methodology is consistent in structure but adapted for each vertical's specific evaluation criteria. This separation ensures that each property develops its own authority and serves its specific audience, rather than feeling like a cookie-cutter version of the same publication with different keywords inserted.

Getting this balance right — shared where sharing creates efficiency, independent where independence creates quality — has been one of the most important operational decisions we have made. When we tried to over-standardize editorial processes early on, the content started to feel generic. When we gave each property too much independence, we lost the efficiency benefits of the portfolio model. The current approach is the result of calibration over time.

Scaling Considerations

The portfolio model creates scaling dynamics that are different from a single-property model. Adding a new vertical requires investment — domain expertise, initial content development, audience building — but the marginal cost of each new property decreases because of shared infrastructure. The third property was cheaper to launch than the first. The fifth was cheaper than the third.

However, the editorial investment does not decrease. Each new vertical requires the same commitment to depth and expertise as the first. You cannot shortcut the research process for a new property just because you have operational experience from existing ones. This creates a natural limit on expansion speed that we respect rather than try to overcome. We would rather have five excellent properties than fifteen mediocre ones.

Our current approach to scaling is measured and deliberate. We launch a new property when we have identified a compelling opportunity, secured the editorial expertise to cover it properly, and have sufficient operational capacity to support it without degrading quality across the existing portfolio. This is not the fastest growth strategy, but it is the one that preserves the quality that makes each property valuable.

Audience Building Without Shortcuts

Building an audience for a new media property takes time, and there are no legitimate shortcuts. We do not buy traffic, we do not use clickbait, and we do not publish content designed to game social algorithms at the expense of substance. Our audience building strategy is straightforward: publish research that is genuinely useful, make it easy to find, and let quality compound over time.

In practice, this means organic search is our primary discovery channel. When we publish a thorough comparison of AP automation platforms and it ranks for the searches that finance ops leaders are conducting, we acquire an audience of exactly the right people through exactly the right channel. These readers found us because they were looking for what we publish. The intent alignment is perfect, and it means our audience metrics — time on site, pages per session, return visits — reflect genuine engagement rather than inflated vanity metrics.

Email is our primary retention channel. We build newsletter audiences for each property that receive regular research updates. These newsletters are not content marketing — they are the content itself. Subscribers receive our latest comparisons, reviews, and category analyses directly, and the open and engagement rates reflect the value readers place on that content. A newsletter subscriber who reads our research consistently is the most valuable audience member we can have, both editorially and commercially.

Social channels play a supporting role but are not our primary focus. We share research across LinkedIn and relevant professional communities, but we do not build content strategies around social platform dynamics. Social platforms optimize for engagement and virality, which often conflicts with the depth and nuance that define useful B2B research. We use social to distribute our best work, not to produce content optimized for social performance.

Lessons from the First Year

Building NorthRadar's portfolio has reinforced some things we believed going in and taught us some things we did not expect.

Quality is slower and more expensive than projected — and it is worth every dollar. Our initial timelines for content production were optimistic. Thorough research takes longer than you think, even when you have experienced people doing it. But the quality difference between rushed content and properly researched content is visible in every metric — rankings, engagement, audience trust, and commercial value. We adjusted our timelines rather than our quality standards, and that was the right call.

The audience knows the difference. Operations professionals are not passive content consumers. They are critical, experienced evaluators who can tell immediately whether a piece of research was written by someone who understands their domain. The feedback we receive consistently highlights the depth and specificity of our analysis as the primary reason readers trust our properties. This confirms that the investment in editorial expertise — the most expensive part of our operation — is also the most important.

Portfolio effects are real but take time to develop. Cross-property benefits — shared infrastructure efficiency, audience overlap, multi-vertical commercial packages — are meaningful but they compound gradually. In the first six months, each property was essentially a standalone operation with shared tools. By the end of the first year, the portfolio dynamics started to create value that individual properties would not capture alone. This is encouraging for our long-term thesis, but it requires patience in the early stages.

The market opportunity is larger than we initially estimated. The more verticals we enter, the more underserved categories we discover. The operations technology landscape is vast, and the independent research covering it is sparse. We are not running out of opportunities — we are constrained by our own capacity to address them at the quality level we require. That is a good problem to have, and it informs our measured approach to expansion.

What Comes Next

NorthRadar Media is still early. We have built the foundation — the model, the methodology, the infrastructure, and the initial portfolio of properties. What comes next is continued depth in existing verticals and careful expansion into new ones. The goal is not to be the biggest B2B media company. It is to be the most trusted research source in every vertical we enter.

That is a long game, and we are building accordingly. Every property we launch, every comparison we publish, and every editorial decision we make is oriented toward that goal. The operators we serve deserve nothing less, and the market opportunity rewards nothing less.

If you are building something similar — a vertical publication, a niche content operation, or a portfolio media company — I hope this account of our process is useful. The work is harder than it looks, but the market need is real and the model works. Go deep, be honest, invest in expertise, and let quality compound. The audience is waiting.