Companies that use MadKudu

Based on an analysis of Linkedin bios of random 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.

What struck me most is how obsessed these companies are with performance and measurable outcomes. They use phrases like "drive measurable conversions," "performance-driven marketing," "positive return on investment," and "measure effectiveness." There's a relentless focus on results over fluff. SafetyCulture talks about "getting better every day," while Rankings.io says they're "obsessed with results, addicted to improvement." These companies position themselves as the antidote to ineffective solutions, they exist for customers who are "tired of throwing money" at things that don't work.

These are solidly growth-stage companies. The employee counts cluster between 50 and 1,000, with most in the 100-500 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.

A salesperson should understand that MadKudu's customers are sophisticated B2B operators who live and breathe conversion metrics. They're not looking for marketing vanity metrics, they need to prove ROI and optimize every step of their funnel. These teams are data-driven, growth-focused, and likely juggling complex multi-channel strategies. They understand lead scoring and buyer intent because that's the language of their own products.

Based on an analysis of tech stacks from companies that use MadKudu

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.

A salesperson talking to a potential MadKudu customer should understand they're dealing with a revenue operations professional who thinks in systems, not point solutions. This buyer already believes in the power of lead scoring and probably has budget allocated specifically for conversion optimization. They speak the language of pipeline velocity, conversion rates, and sales efficiency metrics.