We detected 417 customers using Voiceflow, 40 companies that churned or ended their trial, and 36 customers with estimated renewals in the next 3 months. The most common industry is Retail (14%) and the most common company size is 51-200 employees (31%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: Our data tracks companies with Voiceflow deployed on their website and may not include internal or backend-only implementations.
About Voiceflow
Voiceflow provides a collaborative platform for teams to design, develop, and launch chat and voice AI agents at scale, featuring a drag-and-drop workflow builder, knowledge base management, API integrations, and real-time testing capabilities for building customer-facing conversational experiences.
📊 Who in an organization decides to buy or use Voiceflow?
Source: Analysis of 100 job postings that mention Voiceflow
Job titles that mention Voiceflow
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Based on an analysis of job titles from postings that mention Voiceflow.
Job Title
Share
Conversational Designer
28%
UX/UI Designer
18%
Product Designer
12%
AI/Bot Developer
10%
My analysis shows that Voiceflow buyers are primarily design and experience leaders hiring for conversational AI capabilities. The 2 leadership roles (3% of total postings) include a Design Director for Conversational Design at USAA and a VP of Experience Design at JPMorgan Chase, suggesting purchase decisions come from senior design, customer experience, or digital transformation executives. These leaders prioritize building scalable conversational systems, with strategic goals around customer self-service, cost reduction, and 24/7 availability across voice and chat channels.
The day-to-day users are overwhelmingly conversational designers (28%), UX/UI designers (18%), and product designers (12%), making up 58% of roles mentioning Voiceflow. These practitioners use Voiceflow to design dialog flows, build chatbot prototypes, write conversational scripts, and iterate on AI-powered customer interactions. They work across IVR systems, chatbots, voice assistants, and multi-modal interfaces, collaborating closely with product managers, engineers, and AI teams to translate requirements into functional conversational experiences.
The pain points center on scaling personalized customer service while reducing costs. Companies seek to "deliver 24/7 convenience to customers via voice or chat" and "drive better efficiency ratios and cost savings" through bot containment. Multiple postings emphasize creating "natural, human-like conversational language" and "seamless, natural, and enjoyable" experiences. The underlying goal is clear: automate routine customer interactions without sacrificing quality, using tools like Voiceflow to "quickly design, test, ship and iterate on conversational assistants together, faster, at scale."
🔧 What other technologies do Voiceflow customers also use?
Source: Analysis of tech stacks from 417 companies that use Voiceflow
Commonly Paired Technologies
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Shows how much more likely Voiceflow customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Voiceflow users are predominantly digital-first companies with a strong emphasis on understanding and optimizing their online presence. The combination of SEO tools (Google Search Console, Yoast), behavioral analytics (Microsoft Clarity, HotJar), and paid acquisition (Facebook Ads, Instantly) tells me these are marketing-focused organizations that rely heavily on their websites to generate leads and conversions. They're building conversational interfaces while simultaneously working hard to drive traffic and understand user behavior.
The pairing of Voiceflow with Microsoft Clarity and HotJar is particularly revealing. These companies aren't just adding chatbots or voice interfaces as a novelty. They're deeply analytical about user experience, using session recordings and heatmaps to understand where visitors struggle, then likely deploying Voiceflow to address those friction points through conversational guidance. The presence of Instantly, an email outreach tool, appearing 167 times more frequently suggests these companies are running sophisticated lead generation campaigns and probably using conversational AI to qualify or nurture those leads once they hit the website.
My analysis shows these are marketing-led organizations, likely in growth stage rather than early startup or enterprise. The full stack reveals companies that are methodical about their funnel. They're optimizing for organic search, running paid campaigns, capturing visitors with compelling conversational experiences, and analyzing every interaction to improve conversion rates. This isn't a sales-led motion where reps are doing cold outreach, it's an inbound engine where the website does heavy lifting.
👥 What types of companies is most likely to use Voiceflow?
Source: Analysis of Linkedin bios of 417 companies that use Voiceflow
Company Characteristics
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Shows how much more likely Voiceflow customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Retail
7.0x
Industry: Real Estate
5.9x
Country: CA
5.4x
Company Size: 51-200
5.0x
Country: DE
4.0x
Country: GB
2.5x
I noticed Voiceflow customers span an incredibly diverse range of industries, but they share a common thread: they're service-oriented businesses that need to communicate efficiently with customers or stakeholders. I'm seeing hospitality venues managing reservations, staffing agencies coordinating placements, professional service firms handling inquiries, educational institutions supporting students, and healthcare providers scheduling appointments. These aren't purely digital products. They're companies where human interaction is core to the business model, whether that's placing workers, booking hotel rooms, or providing financial advice.
Most are established small to medium businesses, typically in that 11-200 employee range. Very few are venture-backed startups. The funding mentions are sparse, and when they exist, they're modest rounds or debt financing. These are profitable, operational businesses, not high-growth tech companies burning capital. Many explicitly mention being family-owned or highlight decades of experience. They're at the stage where manual communication processes are breaking down under volume, but they can't justify enterprise software budgets.
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