metadata.io

Gil Alush spent years as a software engineer focused on AI and robotics before pivoting to marketing post-MBA at Babson College. Frustrated with traditional marketing approaches, he carved out a niche in technical marketing and data-driven growth hacking. He worked as an interim VP of marketing consultant, helping B2B companies set up demand generation, marketing automation, and hiring their first marketing hire. But he saw a massive gap: companies had content (webinars, whitepapers, case studies) but struggled to amplify it cost-effectively.

metadata.io launched in May 2015 with a simple thesis: reverse-engineer the profile of a company's best customers and find thousands of look-alikes using data signals across B2B databases, not just Facebook's proprietary algorithm. Gil assembled a lean team of 8 people split across Wisconsin, San Francisco, and Israel—three founders plus five early employees. The product promised something concrete: if a company could acquire 10 customers for $1,000, metadata.io would deliver 15 for the same budget (150% ROI minimum).

Gil and team went after mid-market and enterprise customers directly, starting with pilots priced at $10,000 for three months. By February 2016—just nine months after launch—they had a little more than a dozen customers, each paying an average of $3,000/month, landing them at $35,000 MRR with 85% gross margins. One customer alone generated $2 million in pipeline opportunities in their first month, making the unit economics a no-brainer for renewal. Churn was negligible—they'd only lost one customer in their entire operating history, and even that was uncertain due to organizational changes on the client side.

Value-based pricing worked better than fixed pricing. Instead of listing prices on their website, they qualified inbound leads via email, understood each prospect's MQL/SQL generation problem, and priced accordingly. They built a moat by aggregating 100-150 data signals about prospects (job title, salary, education, company tech stack, etc.) and applying them across Facebook, LinkedIn, Twitter, and proprietary networks—far richer than Facebook's native lookalike audiences. The team took full control of the campaign (landing pages, creative, enrichment, targeting), which gave them enough leverage to hit their 150% ROI guarantees. The early-stage challenge was unpredictable data; they were still learning which customer profiles would convert best.

In early 2016, metadata.io was raising a Series A equity round at a $5-6M pre-money valuation for roughly $2 million, diluting founders 20-25%. Gil's target was to hit 50+ customers before considering exit options—he turned down a hypothetical $15M offer from Salesforce, signaling belief in much larger outcomes. With 8.5 months of traction, 12 customers generating $35K MRR, and $300K in seed capital from 500 Startups and angels already deployed, the company was built for enterprise sales velocity in a market Gil believed was "extremely hot."