We detected 643 customers using Gainsight, 133 companies that churned or ended their trial, and 10 customers with estimated renewals in the next 3 months. The most common industry is Software Development (55%) and the most common company size is 1,001-5,000 employees (25%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Gainsight
Gainsight unifies post-sales customer data into AI-powered health scores, automated playbooks, and in-app engagement tools to help businesses reduce churn, drive expansion, and scale customer success teams efficiently.
📊 Who in an organization decides to buy or use Gainsight?
Source: Analysis of 100 job postings that mention Gainsight
Job titles that mention Gainsight
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Based on an analysis of job titles from postings that mention Gainsight.
Job Title
Share
Director, Customer Success
30%
Customer Success Manager
29%
Vice President, Customer Success
11%
Revenue Operations Manager
7%
My analysis shows that Gainsight purchasing decisions are owned primarily by Customer Success leadership, with Directors of Customer Success representing 30% of roles and VPs of Customer Success accounting for 11%. These leaders are hiring aggressively to build teams focused on retention, expansion, and Net Revenue Retention targets, often 120% or higher. Revenue Operations roles at 7% indicate that operational leaders also influence buying decisions, focusing on process optimization and tool integration across the revenue organization.
The day-to-day users are Customer Success Managers (29% of postings), who leverage Gainsight to manage customer health scores, track adoption metrics, execute success plans, and drive renewals. These practitioners use the platform to maintain dashboards, monitor engagement data, conduct Quarterly Business Reviews, and identify expansion opportunities. The roles span enterprise accounts, mid-market segments, and scaled customer bases, suggesting Gainsight supports both high-touch and programmatic engagement models.
The overarching pain points center on measurable outcomes and scalable processes. Companies seek to "drive retention, expansion, and customer satisfaction" while building "scalable playbooks, processes, and tooling for customer health." Multiple postings emphasize the need to "deliver measurable value" and "accelerate adoption" through "data-driven decision-making." Organizations want to transform Customer Success from reactive relationship management into a predictive, metrics-driven growth engine that directly impacts revenue retention and expansion.
🔧 What other technologies do Gainsight customers also use?
Source: Analysis of tech stacks from 643 companies that use Gainsight
Commonly Paired Technologies
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Shows how much more likely Gainsight 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 Gainsight are running sophisticated B2B SaaS operations with a heavy emphasis on revenue growth through both customer success and aggressive outbound sales. The presence of tools like Mindtickle and Highspot tells me these are organizations investing seriously in sales enablement and training, which suggests they have large, complex sales teams selling high-touch enterprise products.
The pairing of Gainsight with Drift Premium and Qualified is particularly revealing. These companies are capturing website visitors in real-time and routing high-intent prospects directly to sales reps through conversational marketing. When you combine this with 6Sense for account identification, you see a clear account-based marketing strategy at play. They're identifying target accounts, tracking their digital footprint, engaging them the moment they show interest, and then using Gainsight to ensure those customers succeed post-sale. Mindtickle appearing so frequently alongside Gainsight makes perfect sense because both tools address the same core challenge: these companies need their customer-facing teams (both sales and success) to execute consistently at scale.
The full stack reveals a sales-led organization that's likely in growth or scale-up stage. They've moved past product-led growth and are investing heavily in the human infrastructure needed to close and retain enterprise deals. The Adobe Audience Manager presence suggests they're also running sophisticated marketing operations to support their sales efforts. These aren't early-stage startups figuring things out, they're companies with repeatable playbooks that need tools to help hundreds of employees execute them properly.
👥 What types of companies is most likely to use Gainsight?
Source: Analysis of Linkedin bios of 643 companies that use Gainsight
Company Characteristics
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Shows how much more likely Gainsight 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: Private equity
68.8x
Funding Stage: Series unknown
25.9x
Industry: Software Development
8.9x
Company Size: 1,001-5,000
5.0x
Company Size: 501-1,000
4.2x
Company Size: 201-500
2.1x
I noticed that Gainsight's customers are overwhelmingly B2B software and technology companies that sell platforms, tools, or services to other businesses. These aren't consumer apps. They're companies building HR systems, customer engagement platforms, cybersecurity solutions, financial compliance tools, and industry-specific SaaS products. Many serve enterprise clients or other businesses with complex, ongoing relationships that require nurturing. Even the non-software companies like Panasonic or Baker Hughes are selling technology solutions or services with subscription-like characteristics.
These are predominantly growth-stage to mature companies. I'm seeing significant employee counts (many in the 200 to 5,000+ range), substantial funding rounds (Series C through post-IPO), and established customer bases. Companies mention serving "thousands of customers" or cite specific large enterprise clients. This isn't the scrappy startup phase. These are scaling businesses with real revenue, or already-established enterprises managing complex customer portfolios.
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