We detected 548 companies using Glia and 29 companies that churned. The most common industry is Banking (62%) and the most common company size is 51-200 employees (39%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists.
The count of new companies shown here may differ from the total in the table above. This is intentional. We apply a consistent baseline to ensure month-over-month comparisons are apples-to-apples rather than affected by when data was first collected.
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Market Insights
๐ข Top Industries
Banking324 (62%)
Financial Services198 (38%)
Food & Beverages1 (0%)
IT Services and IT Consulting1 (0%)
Retail1 (0%)
๐ Company Size Distribution
51-200 employees211 (39%)
201-500 employees142 (26%)
501-1,000 employees72 (13%)
11-50 employees48 (9%)
1,001-5,000 employees38 (7%)
๐ฅ What types of companies use Glia?
Source: Analysis of Linkedin bios of 548 companies that use Glia
Company Characteristics
i
Shows how much more likely Glia 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
Industry: Banking
394.3x
Funding Stage: Post IPO debt
77.6x
Funding Stage: Debt financing
31.6x
Industry: Financial Services
28.3x
Funding Stage: Grant
13.9x
Company Size: 501-1,000
10.7x
I analyzed these companies and found that Glia's typical customer is a community-focused financial institution serving local markets. The overwhelming majority are credit unions, community banks, and regional banks that provide traditional banking services like checking accounts, savings, mortgages, auto loans, and business banking to their local communities. A small handful are insurance providers or event rental companies, but financial services dominates at roughly 95% of the sample.
These are established, mature enterprises, not startups. The employee counts typically range from 50 to 500, with assets often in the hundreds of millions or low billions. Many explicitly mention their ranking as largest in their state or region. There's no venture funding in most cases, just steady organic growth and occasional mergers with other credit unions. These institutions have been around for decades, sometimes over a century, and they're financially stable with strong community roots.
๐ง What other technologies do Glia customers also use?
Source: Analysis of tech stacks from 548 companies that use Glia
Commonly Paired Technologies
i
Shows how much more likely Glia 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 something fascinating about Glia's customer base. These companies are primarily established financial services and healthcare organizations running sophisticated compliance and marketing operations. The presence of tools like LogicManager for risk management and Axiom for financial planning tells me these are heavily regulated enterprises that need robust oversight systems before they can even think about customer engagement tools.
The pairing of SiteImprove with Glia makes perfect sense for regulated industries. SiteImprove handles accessibility compliance and quality assurance for digital properties, which is non-negotiable for financial institutions and healthcare providers. They need to ensure their digital experiences meet ADA and WCAG standards, and Glia's communication layer has to work within those same constraints. Meanwhile, the clustering of programmatic advertising tools like TheTradeDesk, Simpli.fi, and TVSquared reveals something unexpected. These companies are running serious paid media campaigns with attribution tracking, suggesting they're competing aggressively for customer acquisition rather than relying purely on brand recognition or organic growth.
The full stack paints a picture of mature, marketing-led organizations in their growth phase. These aren't scrappy startups or pure enterprise sales operations. They're established companies with compliance teams, marketing budgets large enough to justify programmatic platforms, and the operational maturity to manage complex vendor ecosystems. The TVSquared correlation particularly suggests they're running omnichannel campaigns that include television, which requires significant budget and sophistication.
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