We detected 50 customers using SupportLogic and 5 companies that churned or ended their trial. The most common industry is Software Development (78%) and the most common company size is 1,001-5,000 employees (54%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About SupportLogic
SupportLogic uses predictive and generative AI to analyze customer sentiment signals from support interactions across multiple channels, helping companies predict escalations, reduce churn, and improve customer support experiences through real-time insights, automated workflows, and AI-powered recommendations.
🔧 What other technologies do SupportLogic customers also use?
Source: Analysis of tech stacks from 50 companies that use SupportLogic
Commonly Paired Technologies
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Shows how much more likely SupportLogic 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 SupportLogic users are clearly B2B SaaS companies with sophisticated customer success operations. The presence of Gainsight in 25 companies is the strongest signal here. These are firms that treat customer retention as a strategic priority, not an afterthought. They're managing complex enterprise relationships where support quality directly impacts renewals and expansion revenue.
The pairing of SupportLogic with Gainsight makes perfect sense. Gainsight tracks overall customer health scores and renewal risk, while SupportLogic analyzes support ticket sentiment and escalation patterns. Together, they give customer success teams an early warning system for account troubles. The high correlation with Pathfactory is equally telling. This is a content experience platform used to nurture enterprise buyers through long sales cycles. These companies are investing heavily in educating prospects and customers, which means they're selling complex products that require ongoing enablement. Anecdotes.ai, another sentiment analysis tool, reinforces that these companies are obsessed with understanding customer feedback at scale.
The full stack reveals sales-led B2B companies in growth or mature stages. They're not early startups experimenting with product-led growth. Instead, they have dedicated customer success teams, field marketing programs (hence Bizzabo for events), and the budget to invest in multiple specialized platforms. These are likely Series B and beyond companies with enterprise customers who expect white-glove support. Their revenue model depends on high retention rates and net revenue retention above 100%.
👥 What types of companies is most likely to use SupportLogic?
Source: Analysis of Linkedin bios of 50 companies that use SupportLogic
I noticed that SupportLogic's customers are predominantly B2B software and technology infrastructure companies. These aren't consumer apps or simple SaaS tools. They build complex, mission-critical platforms that other businesses depend on: database systems, cybersecurity platforms, cloud infrastructure, DevOps tools, identity management, and enterprise automation. Companies like Databricks, CrowdStrike, Snowflake, and GitLab are selling technical products to technical buyers, often with significant implementation complexity and high stakes if something goes wrong.
These are predominantly growth-stage to mature enterprises. The funding signals tell the story: I see many Series D and beyond, private equity deals, post-IPO companies, and several that are publicly traded on NASDAQ or NYSE. Employee counts cluster heavily in the 1,000 to 5,000 range, with several above 10,000. Even the smaller companies here have substantial backing and momentum. These aren't scrappy startups trying to find product-market fit. They're scaling companies with complex customer bases and enterprise clients.
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