We detected 453 companies using Pigment. The most common industry is Software Development (27%) and the most common company size is 1,001-5,000 employees (34%). We find new customers by discovering URLs with known URL patterns through web crawling or certificate transparency logs.
๐ Who usually uses Pigment and for what use cases?
Source: Analysis of job postings that mention Pigment (using the Bloomberry Jobs API)
Job titles that mention Pigment
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Based on an analysis of job titles from postings that mention Pigment.
Job Title
Share
Director, Finance
30%
Head of FP&A
17%
VP of Finance
9%
Financial Analyst
9%
My analysis shows Pigment buyers are overwhelmingly finance leaders. Directors of Finance represent 30% of roles, with Heads of FP&A at 17%, VPs of Finance at 9%, and Directors of FP&A at 7%. These leaders are responsible for building financial operating systems that scale, and they're explicitly hiring for Pigment ownership. Their strategic priorities center on replacing manual processes with automated planning infrastructure, consolidating fragmented systems, and establishing a single source of truth for forecasting, budgeting, and management reporting across the organization.
Day-to-day users are FP&A managers, analysts, and finance business partners who live in the platform. I found they're building driver-based models, running monthly and quarterly forecast cycles, creating board materials, managing headcount planning, and generating executive dashboards. Several postings describe responsibilities like owning the platform's design and governance, developing integrations with ERP systems, and training other users on the tool.
The pain points are strikingly consistent. Companies describe needing to move from processes that are "too manual to scale" and replace "manual rekeying with defined, repeatable refresh workflows." They want to make Pigment "the operating backbone for forecasting" and "the operating infrastructure for decision-making." Multiple postings emphasize the goal of creating "one forward-looking view" and achieving "forecast accuracy" while building "durable, scalable capability." The underlying theme is clear: these organizations are at inflection points where spreadsheet-based planning can no longer support their growth velocity or complexity.
๐ฅ What types of companies use Pigment?
Source: Analysis of Linkedin bios of 453 companies that use Pigment
Company Characteristics
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Shows how much more likely Pigment 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 F
2192.3x
Funding Stage: Series E
1129.0x
Funding Stage: Secondary market
620.2x
Company Size: 1,001-5,000
43.6x
Company Size: 5,001-10,000
27.5x
Industry: Computer and Network Security
25.0x
I analyzed these Pigment customers and found a distinct profile emerging.
Reading through their bios, certain language patterns jump out immediately. They consistently describe themselves as "leaders" or "pioneers" in their markets. They emphasize transformation and innovation constantly, with phrases like "revolutionizing the way," "transforming how people," and "shaping the future." There's a strong focus on scale, with companies highlighting their global footprint: "operating in 50+ countries," "serving millions of customers," or "trusted by thousands of businesses worldwide." They also emphasize integration and platforms: "unified platform," "end-to-end solutions," and "connecting everything in one system."
๐ง What other technologies do Pigment customers also use?
Source: Analysis of tech stacks from 453 companies that use Pigment
Commonly Paired Technologies
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Shows how much more likely Pigment 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 Pigment users are predominantly high-growth B2B companies with sophisticated revenue operations and a strong emphasis on efficient scaling. The presence of tools like Navan for travel management, ZipHQ for procurement, and Golinks for knowledge management tells me these are well-funded companies that have moved beyond scrappy startup mode and are investing in operational infrastructure. They're building repeatable processes while trying to maintain agility.
The pairing of Pigment with Clari and Qualified is particularly revealing. Clari handles revenue forecasting and pipeline management, while Qualified focuses on converting website visitors into sales conversations. Together with Pigment's financial planning capabilities, this suggests companies that are tightly integrating their go-to-market metrics with financial planning. They're not just tracking bookings, they're modeling how pipeline conversion rates impact cash flow and hiring plans. The inclusion of Glean, an enterprise search tool, reinforces that these organizations have enough complexity and information flow that employees need AI-powered search to find what they need.
The full stack reveals companies that are definitively sales-led but maturing rapidly. They've invested heavily in revenue operations technology, which indicates a consultative, high-touch sales model with longer deal cycles. The presence of so many operational efficiency tools suggests they're likely Series B through pre-IPO companies facing pressure to improve unit economics while maintaining growth. They have the budget for premium tooling but are increasingly focused on connecting investments to outcomes.
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