Companies that use Navattic

Source: Analysis of 100 job postings that mention Navattic

My analysis shows that Navattic buyers are primarily marketing leaders, with Product Marketing Managers (20%), Marketing Operations Managers (15%), and Directors of Marketing (13%) leading purchasing decisions. These leaders are focused on scaling product-led growth and conversion optimization. Growth Marketing Managers (8%) and Digital Marketing Specialists (10%) round out the buyer profile, indicating that demand generation and website experience teams are key stakeholders in the buying process.

The day-to-day users span a broader range of roles including product marketers creating demo content, sales enablement teams building interactive tours, and technical roles like Demo Engineering Analysts and Product Training Specialists. These practitioners are responsible for building interactive product tours, creating self-guided demos, maintaining demo environments, and enabling sales teams with up-to-date product showcases. Marketing ops teams also use Navattic as part of their tech stack alongside HubSpot, Salesforce, and other martech tools.

The core pain point across these postings centers on demonstrating product value quickly and at scale. Companies want to create experiences that showcase value and drive conversion, as one posting describes building tours focused on demonstrating value through Aha! Moments. Another emphasizes the need to help prospects experience products in a guided and compelling way. A third highlights using interactive demos to let visitors try, learn, and convert directly through interactive free tools and guided product exploration. These companies are solving for faster time-to-value and more scalable product demonstrations.

Source: Analysis of tech stacks from 304 companies that use Navattic

I noticed something striking about Navattic users: they're running sophisticated, account-based marketing operations aimed at enterprise buyers. Every single tool in this list serves one purpose: identifying high-value accounts, personalizing their experience, and converting them through targeted sales engagement. These aren't companies hoping for viral growth or self-service adoption. They're building precision marketing machines.

The pairing of Qualified and Clearbit tells me these companies are obsessed with knowing exactly who's on their website. Clearbit reveals the company visiting, while Qualified routes high-priority accounts directly to sales reps for live chat conversations. Add Navattic into this workflow, and you get personalized product demos that prospects can explore before ever talking to sales. It's about creating that perfect handoff between marketing and sales with maximum context.

Then there's the analytics layer. Hockeystack and Metadata.io are both multi-touch attribution platforms, which means these companies are tracking complex buyer journeys across multiple channels and touchpoints. They need to prove ROI on expensive ABM campaigns. Mutiny and 6Sense complete the picture by enabling website personalization based on account data. Someone from a target account doesn't just see a generic homepage, they see content tailored to their industry or use case, plus a customized demo experience through Navattic.

Source: Analysis of Linkedin bios of 304 companies that use Navattic

I noticed that Navattic's typical customer builds B2B software products that require explanation. These aren't simple consumer apps. They're complex platforms solving sophisticated problems: procurement automation, vulnerability management, contract lifecycle management, event technology, workforce management, and data infrastructure. Many are selling to other businesses' most critical functions (finance, security, compliance, HR) where the buying decision involves multiple stakeholders and requires demonstrating clear value before purchase.

These companies span from well-funded growth stage to established players. I counted numerous Series B through Series E companies, many with $20M to $150M in funding. Employee counts cluster in the 50-500 range, though there are outliers on both ends. Many mention thousands of customers and impressive-sounding metrics. They're past product-market fit but still scaling aggressively, not yet mature enterprises coasting on brand recognition.