ZoomInfo Technologies (ZI) Morgan Stanley Technology, Media & Telecom Conference 2026 summary
Event summary combining transcript, slides, and related documents.
Morgan Stanley Technology, Media & Telecom Conference 2026 summary
3 Mar, 2026Business overview and product innovation
Provides data software and AI solutions for go-to-market professionals, leveraging a proprietary data asset built from customer and community contributory networks, partnerships, and backend intelligence engines.
Launched Go-to-Market Studio as a control tower for RevOps leaders, integrating first-party and third-party data, enriched by AI for campaign design and territory planning.
Introduced GTM Workspace in October 2025, designed for account executives and managers to centralize workflows and receive AI-driven next best actions.
Copilot and Workspace products focus on AI-powered actions and workflows, with Copilot now representing over 20% of ACV and showing improved renewal rates.
Operations business, a non-seat-based, consumption-driven model, is the fastest-growing segment, exceeding $200 million ARR and driving diversification.
AI, data moat, and competitive positioning
Competitive moat is rooted in proprietary, non-public data assets, continually enriched through exclusive agreements and AI-driven intelligence engines.
AI is used for tagging, categorizing, and enriching data, but the core value remains in unique data origination and synthesis.
Faces limited direct competition upmarket, with most growth and expansion occurring in enterprise segments; downmarket remains competitive with lower-cost providers.
Downmarket business is being deliberately reduced and qualified for healthier contribution, while upmarket is prioritized for profitability and growth.
Monetization, pricing, and margin dynamics
Transitioning from seat-based to consumption and AI action credit models, aiming for simplicity and faster adoption.
Pricing model diversification accelerated since 2022, with seat-based revenue now significantly lower and operations/consumption models growing.
AI action credits introduce new processing costs, expected to reduce gross margins to the mid-80s but offset by operational efficiencies and higher profitability upmarket.
Willing to accept short-term gross margin pressure to drive adoption and long-term revenue growth.
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