Yaniv Goldenberg

Yaniv Goldenberg

Fractional CMO / Head of Growth. I don’t advise growth. I build it.

Ramat Gan, Israel

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Yaniv Goldenberg is a Tel Aviv–based fractional CMO and Head of Growth who embeds in post-product-market-fit companies and owns the revenue number end to end. He scaled Elementor from $200K to $20M ARR (100x, 5M+ users), grew Riverside.fm net MRR 337% at ~$450K/month paid, and led demand gen at cnvrg.io through Intel's 2020 acquisition. He works globally in English and Hebrew.

Area of Expertise

  • Business & Management
  • Information & Communications Technology

Topics

  • SaaS growth
  • Fractional CMO
  • Performance marketing
  • SEO
  • GEO/AEO
  • Product-led growth
  • CRO
  • Marketing ops
  • AI marketing

From $200K to $20M ARR: The Operating System Behind a 100x SaaS Scale

Most SaaS companies do not stall because they lack channels. They stall because they cannot trace traffic to revenue, so they keep buying more of the wrong thing. This session is a field report from scaling Elementor from $200K to $20M ARR, plus later work at Riverside.fm (+337% net MRR) and cnvrg.io (acquired by Intel). I will show the four-layer growth machine I actually ran: diagnose the constraint, build attribution that reports in money, run a short list of ranked bets, and kill losers inside a week. Attendees leave with a one-page operating cadence they can install on Monday, including which metrics to delete.

GEO/AEO for B2B SaaS: Getting Cited by AI Search Without Gaming It

Buyers now ask ChatGPT, Perplexity, and Google AI Overviews before they ever click a blue link. Most SaaS content programs are still optimized only for classic SERPs. This talk covers how I treat generative engine optimization as an entity and evidence problem: schema, sameAs graphs, quantified proof, and pages that models can cite without hallucinating. I will walk through a practical GEO audit for a B2B SaaS site, what to change in 30 days, and how this connects to (not replaces) technical SEO and conversion.

One Operator, Machine Speed: Building AI Marketing Ops That Report in Revenue

Most AI marketing is more drafts, not more revenue. I will show the stack I use as a fractional CMO to replace three roles with working systems: n8n workflows, Claude Code pipelines, PostgreSQL attribution, and agents that run the boring operational loops. The point is not novelty. The point is a weekly report that reconciles ad spend to revenue and a handover the internal team can own. Based on current fractional work and prior operator roles at Elementor, Riverside, and cnvrg.io.

Yaniv Goldenberg

Fractional CMO / Head of Growth. I don’t advise growth. I build it.

Ramat Gan, Israel

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