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Best B2B content marketing examples and what makes them work
Most B2B content looks the same: generic how-to posts, forgettable whitepapers, and landing pages that describe a product without ever addressing the problem a buyer is actually trying to solve. The companies that consistently generate pipeline from content do something different. They build systems, not one-off campaigns, and each piece of content serves a specific job in the buying process.
This post breaks down the best B2B content marketing examples from well-known companies, explains the strategy behind each one, and identifies the pattern you can apply to your own program.
What makes B2B content marketing actually work
Before looking at specific companies, it helps to name the underlying mechanism. B2B content works when it does one or more of the following:
- Attracts buyers at the right stage of their research process
- Reduces the time and friction involved in evaluating a product or category
- Signals credibility in a way that accelerates trust
The examples below all do at least one of these things exceptionally well. Some do all three.
HubSpot: the canonical content machine
HubSpot built one of the most well-documented content operations in B2B marketing. Their blog generates millions of monthly visitors, and their free tools, particularly the Website Grader and CRM, function as lead capture at scale.
The free tool strategy
HubSpot's Website Grader launched in 2007 and has since been used by millions of sites. The mechanism is simple: enter a URL, get a score across performance, SEO, mobile, and security. It costs nothing, delivers immediate value, and puts HubSpot in front of anyone thinking about their website.
According to HubSpot's own case studies, the Website Grader has driven consistent top-of-funnel volume for years while staying directly relevant to buyers evaluating marketing software. That alignment between the tool's purpose and the buyer's problem is not accidental. It is the entire design.
The pattern: free tools earn consistent traffic and qualified leads because they do a job buyers want done, rather than just describing what the vendor sells.
Topic clusters before topic clusters were named
HubSpot also popularized the topic cluster model, where a pillar page covers a broad subject in depth and shorter cluster posts target specific long-tail variations, all linking back to the pillar. According to HubSpot's 2019 State of Marketing report, sites using the cluster model saw measurable improvements in organic rankings for core terms.
This model is now standard across high-performing B2B content marketing strategy, but HubSpot was early and scaled it across hundreds of topics simultaneously.
Gong: original data as a content category
Gong built an entire content program around data extracted from its own platform. As a revenue intelligence tool, Gong records and analyzes sales calls, which means it sits on a vast dataset of what actually happens in sales conversations.
The Gong Labs approach
Gong Labs publishes findings from analysis of real sales calls: the phrases that correlate with higher close rates, the talk-to-listen ratios of top performers, the questions that extend deal cycles. According to Gong's own reporting, some of these posts earned hundreds of thousands of page views and significant earned media coverage.
The reason this content works is structural. No competitor can replicate it without the same data. And the audience, sales leaders and revenue operations teams, has a strong appetite for evidence-based guidance they can share with their reps. The content is simultaneously credible, shareable, and impossible to copy.
The pattern: if your product generates proprietary data, publishing that data in accessible formats creates content that no competitor can replicate and that earns backlinks at a scale that republished opinion pieces never will.
Distribution through the sales team
Gong also uses its content as a sales tool. When a rep is in a deal with a VP of Sales who is skeptical of the product category, sharing a Gong Labs post showing data from 100,000 real sales calls shifts the conversation from opinion to evidence. The content earns trust in two places at once: in organic search and inside active deals.
Drift: category creation through content
Drift popularized the term "conversational marketing" through a sustained content effort starting around 2016. Before Drift, the category did not have a name. After Drift, it had a name, a methodology, a podcast, and a book, all produced by Drift's marketing team.
Naming the category
According to research by Category Design Advisors, companies that successfully name and define a new category can capture the majority of the market value in that space over time. Drift's bet was that if it could make "conversational marketing" the term buyers searched for, it would have first-mover advantage for every keyword in that cluster.
Their blog, the Drift podcast (with consistent publishing over years), and the book "Conversational Marketing" by David Cancel and Dave Gerhardt all reinforced the same narrative. This is a strong example of a thought leadership content strategy executed with discipline: every asset pointed back to the same core idea rather than scattering across topics.
The pattern: category creation requires repetition across formats and channels. A single blog post does not create a category. A sustained body of content across text, audio, and speaking engagements does.
Salesforce: research reports as owned media
Salesforce publishes the "State of Marketing" and "State of Sales" reports annually, pulling data from surveys of thousands of practitioners. These reports consistently earn press coverage, backlinks from industry publications, and downloads that feed their email nurture programs.
According to Salesforce's own data, the State of Marketing report has been downloaded millions of times across its various editions. For a company selling to marketing and sales leaders, having the most-cited benchmark report in your category is not a marketing tactic. It is an information moat.
Why research reports earn disproportionate returns
Original research earns backlinks in a way that how-to content rarely does. When a journalist or analyst needs a statistic about B2B marketing budgets, they cite a primary source. If Salesforce publishes that number, they get the citation. According to a 2024 Ahrefs study, content formats with original data earn 3-4x more backlinks on average than opinion-based content.
Research reports also have a compounding life cycle. A report published in 2024 continues to earn citations in 2025 and 2026 as writers reference its findings in evergreen content. The investment in research pays out over multiple years, not just at launch.
Intercom: education as differentiation
Intercom built a content program centered on making their buyers better at their jobs. Their blog, and later their book series "Intercom on Product Management," "Intercom on Customer Engagement," and others, focused on how product and customer success teams should think about their work, with Intercom's product philosophy woven in but never dominating.
Teaching as brand strategy
The underlying logic is that if Intercom helps a product manager become better at customer communication strategy, that product manager is more likely to evaluate and advocate for tools aligned with that philosophy. The content shapes how buyers think about the problem before they evaluate solutions.
This is one of the more patient B2B content marketing best practices: invest in making your audience smarter about the domain, and they will naturally gravitate toward vendors whose thinking they have already internalized.
The pattern: educational content works best when it has a genuine point of view, not just tips and lists. Intercom's content was opinionated about how customer relationships should work. That opinion is what made it memorable and shareable.
What these examples share
Looking across HubSpot, Gong, Drift, Salesforce, and Intercom, several structural similarities emerge:
They built systems, not campaigns
Each of these programs runs continuously. They are not organized around a launch or a fiscal quarter. The consistency compounds over time in ways that intermittent publishing cannot.
The content serves a specific job for a specific buyer
None of these programs try to appeal to everyone. HubSpot writes for marketers evaluating their website. Gong writes for sales leaders who want data. Drift wrote for companies rethinking how they talk to website visitors. Specificity is what creates relevance.
Distribution is built in
Free tools get shared because they do something useful. Original data gets cited because journalists and analysts need primary sources. Books and podcasts get recommended because they are formats people share with colleagues. In each case, the format itself supports distribution.
The content reflects a point of view
None of these programs produces neutral, "here are both sides" content. Each company has a position on how work should be done, and their content argues for that position. That conviction is what separates content that builds authority from content that just adds to the noise.
If you are evaluating your own program, start by asking which of these patterns your content currently fits. If the answer is none of them, that is a more useful diagnosis than any keyword ranking report.
Building a content program that generates pipeline consistently requires more than producing posts on a schedule. It requires choosing a mechanism, committing to it, and measuring the right things. The companies above did not get there by accident, and the path they took is documented in detail for anyone willing to study it.
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