We detected 1,172 customers using Albacross, 392 companies that churned or ended their trial, and 47 customers with estimated renewals in the next 3 months. The most common industry is Software Development (20%) and the most common company size is 11-50 employees (42%). Our methodology involves 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)
About Albacross
Albacross identifies anonymous website visitors by revealing which companies are behind the traffic, uses AI to segment them by buying intent based on their behavior and firmographic data, and automatically engages high-intent prospects through personalized email and LinkedIn outreach sequences to fill sales pipelines with qualified leads.
🔧 What other technologies do Albacross customers also use?
Source: Analysis of tech stacks from 1,172 companies that use Albacross
Commonly Paired Technologies
i
Shows how much more likely Albacross 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 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.
👥 What types of companies is most likely to use Albacross?
Source: Analysis of Linkedin bios of 1,172 companies that use Albacross
Company Characteristics
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Shows how much more likely Albacross 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
Country: SE
28.2x
Funding Stage: Series A
26.3x
Country: PL
23.0x
Funding Stage: Series unknown
19.5x
Industry: Automation Machinery Manufacturing
15.7x
Funding Stage: Seed
12.8x
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.
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