We detected 24,632 customers using Hubspot Conversations, 5,507 companies that churned or ended their trial, and 815 customers with estimated renewals in the next 3 months. The most common industry is Software Development (18%) and the most common company size is 11-50 employees (42%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Hubspot Conversations
Hubspot Conversations unifies email, live chat, Facebook Messenger, WhatsApp, and other messaging channels into a single shared inbox where sales, marketing, and service teams can view, manage, and reply to customer and prospect conversations with full CRM context and chatbot automation.
🔧 What other technologies do Hubspot Conversations customers also use?
Source: Analysis of tech stacks from 24,632 companies that use Hubspot Conversations
Commonly Paired Technologies
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Shows how much more likely Hubspot Conversations 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 companies using Hubspot Conversations are heavily invested in inbound marketing and lead generation. The extremely strong correlation with Hubspot Marketing Hub (139.8x more likely) tells me these are all-in HubSpot ecosystem players who've committed to a unified platform approach. They're running sophisticated digital marketing operations that prioritize capturing, nurturing, and converting web traffic into sales conversations.
The pairing of LinkedIn Ads with Hubspot Conversations makes perfect sense for B2B companies running targeted campaigns to drive qualified traffic to their websites, where the chat tool helps convert that expensive paid traffic immediately. The presence of both HotJar and Microsoft Clarity is particularly telling. These companies are obsessed with understanding visitor behavior and optimizing conversion paths. They're watching session recordings and heatmaps to figure out exactly when and where to trigger conversations. ZoomInfo appearing 103.9x more often confirms these are B2B sales organizations that need to identify and qualify website visitors in real time, likely using intent data to prioritize which anonymous browsers warrant immediate outreach.
My analysis shows these are marketing-led B2B companies, likely in growth stage with dedicated revenue operations teams. They're spending serious money on paid acquisition, then layering on behavior analytics and conversation tools to maximize ROI. The stack suggests a modern demand generation approach where marketing owns the entire top of funnel, using chat not just for support but as a proactive sales tool to intercept high-intent visitors.
👥 What types of companies is most likely to use Hubspot Conversations?
Source: Analysis of Linkedin bios of 24,632 companies that use Hubspot Conversations
Company Characteristics
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Shows how much more likely Hubspot Conversations 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
Funding Stage: Series A
15.1x
Funding Stage: Seed
13.4x
Funding Stage: Series B
12.1x
Industry: Software Development
7.8x
Industry: Computer and Network Security
6.6x
Country: NO
4.2x
I noticed that Hubspot Conversations users span an remarkably diverse range of industries, but they share a common thread: they're selling complex products or services that require ongoing customer conversation. These aren't impulse purchases. I see manufacturers of specialized equipment (Nordic Shelter's military containers, HALTER's CNC automation), professional service providers (CT Management Group's consulting, Panoramix's IP services), software companies building niche vertical solutions (InnoVites for wire and cable, clixifix for construction defects), and businesses where customer education matters deeply (Aileron's business training, SkillBase's first aid courses).
These are predominantly established small to mid-sized companies. Most have 11-200 employees, suggesting they've moved past startup chaos but aren't massive enterprises. The funding data reveals mostly bootstrapped or lightly funded businesses, not venture-backed rockets. Many mention being in business for 10, 20, or even 30-plus years. They're at the stage where they need to professionalize customer communication but lack the resources for enterprise-grade contact centers.
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