From Demand Gen to Acquisition by Intel: cnvrg.io
How Yaniv Goldenberg built the demand generation function at cnvrg.io, an MLOps platform for enterprise data science teams, growing inbound leads 180% YoY before Intel acquired the company.
cnvrg.io was an Israeli MLOps platform serving enterprise data science teams. Yaniv built the demand generation engine from scratch: SEO, content, paid, lead scoring, and lead operations. Inbound leads grew 180% year over year and the SDR opportunity pipeline grew 1500% before the company was acquired by Intel.
Starting Point
cnvrg.io had strong product depth in MLOps but limited inbound demand. Sales was carrying the weight of pipeline generation. There was no formal demand gen function, no SEO program, no lead scoring, and no marketing-attributed pipeline reporting that finance trusted.
What Had to Be Solved
- Build inbound pipeline that took load off the SDR/AE team
- Stand up SEO around enterprise MLOps and adjacent data science keywords
- Design content that converted Fortune 500 data science buyers, not developers
- Build lead scoring + lead routing the SDR team would actually trust
- Make CAC defensible enough to justify scaling paid spend
Strategy & Execution
1. SEO around enterprise MLOps category formation
MLOps was an emerging category in enterprise data science. Capturing the keyword cluster as it formed was a category-defining opportunity. Built the content engine around technical depth: not "what is MLOps" listicles, but implementation guides that data science leads used to evaluate vendors.
2. Content for the enterprise buyer
Enterprise data science buyers are technical decision-makers with budget authority. The content had to demonstrate product depth without reading like a product page. Built a library of technical papers, benchmark comparisons, and integration guides that became the top-of-funnel magnet.
3. Lead scoring that sales trusted
Built a scoring model based on firmographic fit, behavioral signals, and content engagement patterns. Tuned it with sales feedback until the SDR team pulled scored leads before marketing pushed them. When sales pulls instead of marketing pushing, the system is working.
4. Paid with enterprise-grade targeting
Enterprise paid acquisition is precision targeting: specific companies, specific titles, specific intent signals. Built LinkedIn and Google campaigns around account lists and job-function targeting, not broad keywords. CAC dropped 40% because every dollar went to the right audience.
Results
- Inbound leads grew 180% YoY from zero baseline
- SDR opportunity pipeline grew 1500% through qualified inbound
- CAC reduced 40% through precision targeting
- SEO captured the MLOps category during its formation phase
- Lead scoring adoption by sales with pull-based workflow
- Company acquired by Intel with strong demand generation metrics
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