Companies that use Albacross

Analyzed and validated by Henley Wing Chiu ยท Updated

Albacross We detected 1,100 companies using Albacross, 511 companies that churned, and 56 customers with upcoming renewal in the next 3 months. The most common industry is Software Development (20%) and the most common company size is 11-50 employees (38%). We find new customers by detecting JavaScript snippets or configurations on customer websites. Note: We only track when a company installs the Albacross tracking script on their website (majority of customers)

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Company Employees Industry Country Region Usage Start Date
Optiwise.ai 51โ€“200 Technology, Information and Internet
United States
North America 2026-06-30
Work Supply 11โ€“50 Staffing and Recruiting
Netherlands
Europe 2026-06-28
CUBE Team 11โ€“50 IT Services and IT Consulting
Serbia
Europe 2026-06-26
NXLog 51โ€“200 Computer and Network Security
United States
North America 2026-06-24
prodot โ€“ Digital Passion. Driving Innovation. 51โ€“200 IT Services and IT Consulting
Germany
Europe 2026-06-21
CrustLab 51โ€“200 Software Development
Poland
Europe 2026-06-21
INSTANDA 201โ€“500 Software Development
United Kingdom
Europe 2026-06-20
Return on Investment Ltd 201โ€“500 Advertising Services
United Kingdom
Europe 2026-06-16
Nexsales 201โ€“500 Information Services
United States
North America 2026-06-15
PenderFund Capital Management 51โ€“200 Financial Services
Canada
North America 2026-06-13
Caliber Technologies 501โ€“1,000 IT Services and IT Consulting
United States
North America 2026-06-09
XTrack 11โ€“50 IT Services and IT Consulting
Poland
Europe 2026-06-05
Vervotech, A Constellation Inc Company 11โ€“50 Software Development
India
Asia 2026-06-05
Export Maker Oy 11โ€“50 International Trade and Development
Finland
Europe 2026-06-04
Mooveno | Smart Mobility 11โ€“50 Automotive
Poland
Europe 2026-06-03
Activy - Corporate Sports Games 11โ€“50 Wellness and Fitness Services
Poland
Europe 2026-05-31
Weegree 501โ€“1,000 Outsourcing and Offshoring Consulting
Poland
Europe 2026-05-26
Safesight 2โ€“10 IT Services and IT Consulting
Netherlands
Europe 2026-05-26
Metadata Technologies 51โ€“200 IT Services and IT Consulting
UAE
Europe 2026-05-25
CROSSMARK Australia 1,001โ€“5,000 Retail
Australia
Oceania 2026-05-24
Showing 1-20

New Users (Companies) Detected Over Time

i

Market Insights

๐Ÿข Top Industries

Software Development 195 (20%)
IT Services and IT Consulting 145 (15%)
Advertising Services 86 (9%)
Technology, Information and Internet 62 (6%)
Financial Services 42 (4%)

๐Ÿ“ Company Size Distribution

11-50 employees 415 (38%)
51-200 employees 354 (33%)
2-10 employees 158 (15%)
201-500 employees 90 (8%)
501-1,000 employees 32 (3%)

๐Ÿ‘ฅ What types of companies use Albacross?

Source: Analysis of Linkedin bios of 1,100 companies that use Albacross

Company Characteristics
i
Trait
Likelihood
Country: Sweden
31.2x
Country: Poland
26.7x
Funding Stage: Series A
25.1x
Funding Stage: Series B
22.9x
Funding Stage: Non equity assistance
16.2x
Industry: Automation Machinery Manufacturing
11.7x
I noticed that Albacross users span an incredibly diverse range of businesses, but there's a clear pattern: these are companies that operate in complex B2B environments where understanding and reaching the right audience is critical. They're not selling simple products. Whether it's Devolens building software licensing systems, AKARION developing GRC compliance platforms, or Forcom creating retail software ecosystems, these companies sell sophisticated solutions that require education, consideration, and often lengthy sales cycles. Many are service providers like recruitment firms, consulting agencies, and IT services companies that need to constantly fill their pipeline with qualified prospects.

The stage varies widely, but I see three distinct tiers. About 15-20% are early-stage ventures with seed funding and small teams under 20 people. The sweet spot, representing maybe 60%, are growth-stage companies with 50-300 employees, established offerings, and clear market traction but still scaling. The remaining 20% are mature enterprises with 1,000+ employees. Critically, even the larger companies often describe themselves with growth-oriented, dynamic language rather than established corporate speak.

๐Ÿ”ง What other technologies do Albacross customers also use?

Source: Analysis of tech stacks from 1,100 companies that use Albacross

Commonly Paired Technologies
i
Technology
Likelihood
339.8x
272.9x
263.3x
148.4x
33.9x
32.0x
I noticed that Albacross users are clearly B2B companies obsessed with identifying and converting anonymous website visitors into sales opportunities. The extreme concentration of visitor identification tools like Lead Feeder, Snitcher, and VisitorQueue tells me these companies rely heavily on inbound traffic and need to know exactly which businesses are browsing their site. This is classic B2B demand generation where the sale happens offline but the buying journey starts online.

The pairing of Albacross with LinkedIn Ads makes perfect sense for this profile. These companies are running targeted campaigns to drive specific accounts to their website, then using Albacross to see which ones actually showed up and what they looked at. Adding HotJar into the mix shows they're not just tracking who visits, but obsessing over the visitor experience itself. They want to know where prospects click, scroll, and drop off. The presence of Dreamdata is particularly telling because it's an attribution platform, which means these companies are sophisticated enough to want a complete picture of their buyer journey across multiple touchpoints.

The full stack screams sales-led growth with a very mature marketing operation supporting it. These aren't product-led companies hoping for viral adoption. They're selling complex solutions with longer sales cycles where knowing that Enterprise Corp visited your pricing page five times is genuinely valuable intelligence for the sales team. The concentration of analytics and tracking tools suggests they're likely growth stage companies that have moved past founder-led sales and need systematic ways to generate and qualify pipeline at scale.

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