Companies that use Kwanzoo

Analyzed and validated by Henley Wing Chiu

Kwanzoo We detected 45 customers using Kwanzoo, 34 companies that churned or ended their trial, and 5 customers with estimated renewals in the next 3 months. The most common industry is Software Development (33%) and the most common company size is 11-50 employees (52%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.

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Company Domain Employees Industry Region YoY Headcount Growth Usage Start Date
JAIN Online 51–200 E-Learning Providers IN +10.3% 2025-12-01
AKITRA 201–500 Computer and Network Security US N/A 2025-11-05
Venture360 11–50 Venture Capital and Private Equity Principals US +44.4% 2025-09-12
LiSA Social Commerce 11–50 Software Development DE -26.7% 2025-08-03
Prescient 11–50 Technology, Information and Internet US -9.1% 2025-07-23
Arraya Solutions 51–200 IT Services and IT Consulting US -3.5% 2025-07-11
MPS Interactive Systems 201–500 IT Services and IT Consulting IN -3.7% 2025-07-03
Vector 51–200 Software Development US -7.1% 2025-06-29
Pixelo Digital 11–50 Marketing Services IN +22.2% 2025-06-20
Dataplatr 51–200 IT Services and IT Consulting US +33.3% 2025-06-08
Firstshift AI 11–50 Software Development US +32% 2025-04-27
Caf2Code LLC 11–50 IT Services and IT Consulting US +7.1% 2025-04-22
Frontline Solvers 11–50 Software Development US +11.1% 2025-03-28
Movate 10,001+ IT Services and IT Consulting US +6.8% 2025-03-25
TechNexus Venture Collaborative 11–50 Venture Capital and Private Equity Principals US +29.2% 2025-03-24
BinaryWorks(formerly Drupal Partners) 201–500 Technology, Information and Internet US N/A 2025-02-01
CommerceShop 51–200 IT Services and IT Consulting US N/A 2025-01-29
Webbula 11–50 IT Services and IT Consulting US N/A 2025-01-09
Data Semantics 201–500 Information Technology & Services AE +8.9%
PeopleLens 2–10 Software Development US +100%
Showing 1-20 of 45

Market Insights

🏢 Top Industries

Software Development 14 (33%)
IT Services and IT Consulting 7 (17%)
Technology, Information and Internet 6 (14%)
Business Consulting and Services 2 (5%)
Manufacturing 2 (5%)

📏 Company Size Distribution

11-50 employees 22 (52%)
51-200 employees 10 (24%)
201-500 employees 6 (14%)
2-10 employees 3 (7%)
10,001+ employees 1 (2%)

👥 What types of companies is most likely to use Kwanzoo?

Source: Analysis of Linkedin bios of 45 companies that use Kwanzoo

Company Characteristics
i
Trait
Likelihood
Country: US
5.5x
Company Size: 11-50
3.6x
I analyzed these 46 companies and found that Kwanzoo's customers are predominantly B2B service providers and technology enablers. The majority are agencies, consultancies, and software platforms that help other businesses grow. I'm seeing marketing agencies, data analytics firms, IT consultancies, sales enablement platforms, and specialized SaaS companies. They're not selling physical products to consumers. They're selling expertise, software, and business outcomes to other companies.

These are mostly growth-stage companies in the 11-200 employee range. I'm seeing a mix of bootstrapped profitable businesses and venture-backed companies at seed or Series A stages. Very few are early startups or large enterprises. The funding amounts, when disclosed, are modest (under $50M), and many have been operating for 5-15 years. They're past the scrambling startup phase but haven't reached enterprise scale. They're in that challenging middle zone where they need to professionalize their go-to-market motion.

A salesperson should understand that these customers are sophisticated buyers who themselves sell to businesses. They understand marketing technology and likely evaluate it critically. They're probably juggling multiple tools already and need proof that Kwanzoo will deliver ROI. They care deeply about efficiency and measurable results because that's exactly what they promise their own clients.

🔧 What other technologies do Kwanzoo customers also use?

Source: Analysis of tech stacks from 45 companies that use Kwanzoo

Commonly Paired Technologies
i
Technology
Likelihood
43949.6x
1364.7x
696.1x
516.8x
282.9x
262.3x
I noticed that Kwanzoo users are clearly B2B companies obsessed with account-based marketing and visitor intelligence. This tech stack screams "we need to know exactly who's visiting our website and convert anonymous traffic into pipeline." Every single tool in this correlation list is designed to identify, track, and engage website visitors, which tells me these companies have significant web traffic but struggle with conversion rates. They're investing heavily in de-anonymization technology to turn interest signals into actionable sales opportunities.

The pairing of Lead Feeder and Apollo.io Website Visitor Tracker is particularly revealing. These companies aren't satisfied with just one visitor identification solution. They're either testing multiple vendors or layering different approaches to maximize coverage and accuracy. When I see Factors.ai appearing alongside these tools, it suggests they're trying to connect visitor behavior to revenue outcomes and prove marketing ROI. The presence of 6Sense indicates more sophisticated buyers who want predictive analytics and intent data, not just reactive visitor tracking.

My analysis shows these are definitively marketing-led organizations, likely in the growth stage where they've achieved product-market fit but need to scale efficiently. They have marketing budgets substantial enough to afford multiple premium ABM tools, yet they're still experimenting with their stack, which suggests Series A through Series C maturity. The Adroll correlation points to retargeting strategies, meaning they understand that first-touch conversions are rare and persistence matters.

A salesperson approaching Kwanzoo customers should understand they're talking to marketing operations professionals who are data-driven and metrics-focused. These buyers care deeply about attribution, integration capabilities, and proving that their tools contribute to pipeline. They're already sophisticated technology users who won't be impressed by basic features. Focus conversations on unique identification methodologies, data accuracy rates, and how Kwanzoo complements their existing visitor intelligence infrastructure.

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