Companies that use Gong

Analyzed and validated by Henley Wing Chiu

Gong We detected 1,365 companies using Gong. The most common industry is Software Development (64%) and the most common company size is 51-200 employees (52%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists. Note: We also track companies that are listed as Gong integrations.

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
Signiant 201–500 Software Development US -15.6% 2026-02-07
Protera 201–500 Information Technology & Services US +2.1% 2026-02-07
BetterWorld 11–50 Fundraising US +27.3% 2026-02-05
Yes Energy 201–500 Software Development US +47.1% 2026-02-03
Stat 11–50 Hospitals and Health Care US +36.8% 2026-02-01
celito 11–50 Technology, Information and Internet US +18.9% 2026-02-01
OnCorps AI 51–200 Financial Services US -12.7% 2026-01-29
Nuvei 1,001–5,000 Financial Services CA +8.1% 2026-01-25
DriveCentric 201–500 Software Development US +48.7% 2026-01-23
Oomnitza 51–200 Software Development US +4.8% 2026-01-22
Athena 1,001–5,000 Business Consulting and Services PR +44.5% 2026-01-14
Plume 201–500 Telecommunications US -10.1% 2026-01-11
Madhive 51–200 Advertising Services US +143.7% 2026-01-10
Kantata 501–1,000 Software Development US -6.9% 2026-01-10
Actian 501–1,000 Software Development US +4.7% 2026-01-09
Textio 51–200 Software Development US -18%
Thomas 201–500 Human Resources Services GB +0.6%
Dozuki 51–200 Software Development US +7.8%
⚡ GoodUnited ⚡ 11–50 Software Development US -22.2%
iConnections 51–200 Financial Services US +19.8%
Showing 1-20 of 1,365

Market Insights

🏢 Top Industries

Software Development 837 (64%)
Technology, Information and Internet 118 (9%)
Computer and Network Security 54 (4%)
Financial Services 41 (3%)
IT Services and IT Consulting 35 (3%)

📏 Company Size Distribution

51-200 employees 706 (52%)
11-50 employees 205 (15%)
201-500 employees 180 (13%)
501-1,000 employees 94 (7%)
1,001-5,000 employees 84 (6%)

📊 Who usually uses Gong and for what use cases?

Source: Analysis of job postings that mention Gong (using the Bloomberry Jobs API)

Job titles that mention Gong
i
Job Title
Share
Director of Revenue Operations
15%
Director of Customer Experience
12%
Revenue Operations Manager
11%
Director of Sales
10%
I noticed that Gong buyers are primarily Revenue Operations leaders (26% combined RevOps roles) and Sales leadership (18% combined sales directors and VPs). These buyers are focused on building scalable go-to-market engines, with priorities around pipeline visibility, forecasting accuracy, and team productivity. Directors of Customer Experience and Customer Success also emerge as key buyers (12%), revealing that Gong extends beyond just sales into the full revenue lifecycle. Their hiring priorities center on retention, expansion, and Net Revenue Retention optimization.

Day-to-day users span the entire revenue organization. Sales Development Representatives use Gong for call coaching and qualification conversations. Account Executives leverage it for deal progression and competitive positioning. Customer Success teams rely on it to monitor account health and identify expansion opportunities. Multiple postings reference Gong as part of an elite tech stack alongside Salesforce, indicating it serves as the conversation intelligence layer that surfaces insights across the revenue funnel.

The pain points are clear. Companies want to move from "messy pipeline" to "predictable, increasing opportunity creation" and eliminate "manual, time-consuming processes." One posting seeks to "translate strategic goals into actionable resources for frontline teams," while another aims to "turn inbound interest and targeted outbound prospecting into predictable pipeline." The recurring theme is operational excellence: converting conversations into revenue through better coaching, faster ramp times, and data-driven decision-making that connects customer signals to business outcomes.

👥 What types of companies use Gong?

Source: Analysis of Linkedin bios of 1,365 companies that use Gong

I noticed that Gong's typical customers are B2B software and technology companies selling complex solutions that require consultative sales processes. These aren't simple transactional businesses. They're companies like Databook helping enterprise sales teams "accelerate revenue growth," Optimove providing "positionless marketing" platforms, and Zylo managing "SaaS portfolios" for major enterprises. Many are selling to other businesses through longer sales cycles where conversation intelligence would be critical.

Most are in the growth stage, not early startups or massive enterprises. The employee counts cluster heavily in the 51-200 range, with funding stages showing Series A through C rounds. I see companies like Crossbeam at Series C with $76M raised and 179 employees, or Canopy at Series C with 293 employees. These are companies that have found product-market fit and are scaling their sales teams rapidly. They need Gong because they're professionalizing sales operations while growing fast.

🔧 What other technologies do Gong customers also use?

Source: Analysis of tech stacks from 1,365 companies that use Gong

Commonly Paired Technologies
i
Technology
Likelihood
1340.2x
1314.5x
1207.5x
1013.5x
836.6x
715.6x
I noticed something striking about companies using Gong: they're running sophisticated, high-velocity B2B sales operations. This isn't a collection of random tools. It's a carefully orchestrated revenue engine built for companies that take enterprise selling seriously. The presence of Chili Piper, Outreach, and Qualified together tells me these businesses live and die by pipeline efficiency and sales execution.

The pairing of Gong with Outreach makes perfect sense. Outreach handles the cadence and sequencing of sales activities, while Gong analyzes what actually happens on those calls. Together, they create a feedback loop where reps can see what messaging works and refine their approach. Adding Chili Piper to this mix shows these companies have moved beyond manual calendar coordination. They're eliminating friction at every step, automatically routing hot leads to the right rep the moment interest peaks. The Qualified correlation is especially revealing because it means they're using chatbots and website experiences to identify buying intent in real time, then immediately converting that digital signal into human conversations.

The full stack reveals these are sales-led organizations, likely Series B through growth stage. They've moved past scrappy startup tactics and invested in a repeatable sales process. The presence of Gainsight and Rocketlane suggests they're not just closing deals but managing complex customer journeys and implementations. These companies have long sales cycles, meaningful contract values, and dedicated revenue operations teams analyzing every interaction.

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