Behind Zeta Global’s big (and early) AI bet | David Steinberg

<p>Zeta Global is an AI-native marketing platform processing trillions of consumer signals for Fortune 2000 companies. The company went public on the NYSE in June 2021 and is projecting close to $1.8 billion in net revenue for 2026 — on the back of four consecutive years of 30%+ organic compounded top-line growth and a 120% net retention rate. In a recent episode of Unicorn Builders, we sat down with <a href="https://www.linkedin.com/in/dsteinberg1/" target="_blank" rel="ugc noopener noreferrer">David Steinberg</a>, CEO, Co-Founder, and Chairman of <a href="https://zetaglobal.com/" target="_blank" rel="ugc noopener noreferrer">Zeta Global</a>, to understand how a seven-time founder walked into a 2017 board meeting and convinced his board to go from $50M in annual EBITDA to zero for three years to rebuild the entire platform around native AI — at a time when people were still asking, &quot;Who&#39;s Al and why is he in charge of my data strategy?&quot;</p><p><strong>Topics Discussed:</strong></p><ul><li><p>The board meeting where David proposed sacrificing $50M+ in annual EBITDA to rebuild from scratch</p></li><li><p>How Zeta used two acquisitions — Boom Train (AI/NLP) and Disqus (publisher data) — as the architectural foundation</p></li><li><p>Why running the legacy platform for cash flow was what made the rebuild possible</p></li><li><p>What competitors got wrong: acquiring platforms and freezing the architecture in place</p></li><li><p>How ChatGPT turned years of invisibility into a firehose of inbound from Fortune 2000 boards</p></li><li><p>Why David distinguishes &quot;aptitude for risk&quot; from both blind risk and no risk</p></li></ul><p><strong>GTM Lessons For B2B Founders:</strong> </p><ul><li><p>Sell the floor to the board, not just the ceiling: David didn&#39;t win his board by projecting a grand slam. He closed by making the downside concrete — if the new platform failed in year three, they still had the legacy business, most customers, and a profitable exit. Founders pitching transformational bets should lead with what the floor looks like, not just the ceiling.</p></li><li><p>Run the legacy for cash while you rebuild: Zeta didn&#39;t shut down its ~$200M revenue business during the re-architecture — &quot;it was the reason we didn&#39;t lose money.&quot; That cash funded the new engineering team. Founders making major pivots should identify what existing revenue can fund the transition rather than burning runway on both sides.</p></li><li><p>Earn customer ownership before the product ships: While building, Zeta showed customers the roadmap and solicited &quot;dream features&quot; so they could &quot;feel ownership&quot; in what was coming. That investment drove high migration rates at launch. Loop customers into the build early — not for validation, but to make the migration ask easier when the time comes.</p></li><li><p>Native AI architecture compounds; API integrations stagnate: Most competitors bolt AI onto legacy architecture via API — platform to algorithm to data repository and back. That latency destroys ROI at scale. Zeta&#39;s data cloud is sole-sourced to its own platform, never exposed to external models — making the intelligence proprietary and compounding. Most competitors made acquisitions a decade ago and are still running the same architecture they bought.</p></li><li><p>&quot;AI roadmap AI&quot; is not a moat: After ChatGPT, David says most competitors are running what he calls &quot;AI roadmap AI — where it&#39;s not real just yet.&quot; Zeta was already on its fourth iteration of its AI agent studio and had launched Athena, a voice-enabled super agent. The post-ChatGPT demand window went to companies that had been building for years before it mattered.</p></li></ul><p>// </p><p>Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership.<a href="http://www.frontlines.io" target="_blank" rel="ugc noopener noreferrer">