We detected 17 customers using MadKudu, 17 companies that churned or ended their trial, and 1 customers with estimated renewals in the next 3 months. The most common industry is Software Development (63%) and the most common company size is 501-1,000 employees (35%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We only track when a company installs the MadKudu tracking script on their website
About MadKudu
MadKudu automates prospecting tasks for sales teams by combining internal data and external buying signals to deliver actionable account research, contact prioritization, list building, and personalized messaging directly within tools like Salesforce, Gong, and Outreach.
🔧 What other technologies do MadKudu customers also use?
Source: Analysis of tech stacks from 17 companies that use MadKudu
Commonly Paired Technologies
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Shows how much more likely MadKudu 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 MadKudu users build remarkably sophisticated revenue operations stacks centered around one core goal: routing the right leads to sales at exactly the right moment. These companies run sales-led B2B SaaS motions where speed and precision in lead qualification directly impact revenue. The presence of Clearbit, Segment, and Qualified together tells me these teams treat data infrastructure as a competitive advantage, not an afterthought.
The pairing of MadKudu with Chili Piper and Qualified reveals an obsession with eliminating friction in the sales process. Once MadKudu scores a lead as high-intent, Chili Piper instantly books them with the right rep while Qualified engages them through chat on the website. It's a choreographed handoff designed to capture buyers when they're ready. The Segment connection makes perfect sense too because MadKudu needs clean, unified customer data from across the entire tech stack to build accurate predictive models. Without Segment feeding it quality data, MadKudu's scoring would fall apart.
The full stack screams growth-stage B2B companies with dedicated revenue operations teams. These aren't early startups using basic tools, nor are they enterprise giants with custom-built everything. They're in that middle phase where they've found product-market fit and now need to scale efficiently. They're absolutely sales-led, investing heavily in tools that help sales reps focus on closeable deals rather than waste time on tire-kickers. The presence of Highspot suggests they're also coaching their sales teams with content and enablement.
👥 What types of companies is most likely to use MadKudu?
Source: Analysis of Linkedin bios of 17 companies that use MadKudu
I noticed that MadKudu's customers are predominantly B2B software and marketing technology companies. These aren't just any tech companies, they're building tools that other businesses depend on for growth: marketing platforms, CRM systems, advertising technology, developer APIs, and SaaS products. Even the non-software companies like Rankings.io and WebFX are essentially selling marketing expertise as a service to other businesses.
These are solidly growth-stage companies. The employee counts cluster between 50 and 1,000, with most in the -500 range. Many have raised Series A through D funding, suggesting they've proven product-market fit and are scaling. Companies like Gong, Algolia, and Xometry are particularly well-funded (over $100M raised), while others like Unbounce and Kit represent earlier growth stages. Even the bootstrapped or PE-backed companies like WebFX show significant scale with hundreds of employees.
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