Demand generation has fragmented into at least four distinct problems: identifying who to target, personalizing the experience when they engage, executing the campaigns and outreach, and measuring what actually drove pipeline. No single platform solves all four equally well.
The intent data market has consolidated around five core platforms: 6sense, Bombora, Demandbase, Clearbit, and Warmly. But each vertical has different buyer profiles, different buying triggers, and different research patterns. Healthcare buyers research compliance and EHR integration. Cybersecurity buyers react to threat events. Devtools buyers start with GitHub forks, not enterprise RFPs.
The most consequential shift in intent data strategy over the past few years is the maturation of first-party intent as a credible alternative to third-party intent data, particularly for companies with meaningful inbound traffic.
Both Bombora and 6sense are significant investments, typically in the $50K to $150K per year range depending on account volume and configuration. Choosing between them, or deciding which to buy first, requires understanding not just license pricing but total cost of ownership including implementation, training, and ongoing operations.
Sales tech buyers are under constant pressure. CROs and RevOps leaders are accountable for win rate, sales cycle length, and quota attainment. Every quarter brings new tools claiming to solve those problems. Buyers evaluate in parallel, often comparing Salesforce, Outreach, Apollo, Gong, and internal custom solutions simultaneously.
Fintech B2B sales is a category where many vendors are targeting the same accounts simultaneously. If your buyer is evaluating payment processors, compliance platforms, or fraud detection software, other vendors are working those same accounts in parallel.
HR tech buying has fragmented dramatically. A Chief Human Resources Officer can be evaluating tools across talent acquisition, payroll, compliance, benefits administration, and employee experience simultaneously, with each category involving different vendors, different buying signals, and different decision-makers.
Ecommerce tech buying follows a pattern that differs from most B2B categories. Merchants adopt point solutions for specific problems: Shopify for their storefront, Klaviyo for email, Gorgias for support, and so on. The result is a best-of-breed culture where tool evaluation is ongoing and switching costs are lower than in enterprise software.
Healthcare tech vendors operate under constraints that most B2B categories simply do not face. Regulatory requirements shape what tools can be used and how. Buying committees involve five to seven stakeholders with fundamentally different priorities. Cycles stretch to 6 to 12 months due to procurement review, compliance evaluation, and board-level approval for larger systems.
Mid-market SaaS companies, roughly $5M to $50M ARR, face a demand gen paradox. They are too large to grow on SEO and content marketing alone, but too small to afford or operationalize an enterprise-grade ABM stack. The platforms built for startups do not generate enough pipeline. The platforms built for enterprise require more operational overhead than a lean team can absorb.
Cybersecurity buying does not follow the standard B2B pattern of planned evaluation cycles and multi-quarter procurement timelines. It is driven by three catalysts that create compressed, reactive buying windows:
Martech vendors face a competitive dynamic that most B2B companies do not. Your buyer is evaluating 15 to 20 platforms simultaneously, and a meaningful number of those platforms are directly competing for the same GTM budget as yours. The buying decision is often not “should we buy this category of tool” but “which of these five tools in this category should we buy.”