LiveRamp (RAMP) Q3 2026: Operating Margin Hits 29% as AI Partnerships Accelerate Data Network Scale
LiveRamp’s Q3 delivered record operating margin and free cash flow, propelled by expanding AI partnerships and a usage-based pricing model that is reshaping network economics. The company’s unique position as the connective tissue for data-driven advertising is being reinforced as AI adoption grows, driving higher data volumes and deeper network effects. With Rule of 40 ambitions in sight and a disciplined approach to capital allocation, LiveRamp’s evolving business model is poised to capture incremental growth from both legacy and emerging ad tech channels.
Summary
- AI-Driven Data Network: LiveRamp’s infrastructure is becoming more essential as AI accelerates data collaboration across the ad ecosystem.
- Usage-Based Model Expansion: Transition to usage-based pricing is unlocking new customer segments and deepening reseller partnerships.
- Margin and Cash Flow Upside: Record margin expansion and disciplined cost management are fueling shareholder returns and future investment.
Business Overview
LiveRamp operates a data connectivity platform that enables brands, agencies, and publishers to activate, measure, and optimize marketing across digital channels. The company monetizes through subscription revenue (recurring platform access), usage-based fees (volume-driven data activity), and a data marketplace (third-party data licensing for marketing and AI training). Key segments include identity resolution, data collaboration (clean rooms), commerce media, and cross-platform measurement.
Performance Analysis
LiveRamp posted 9% revenue growth in Q3, with both subscription and marketplace revenues contributing to the top line. The company’s annual recurring revenue (ARR) grew $11 million quarter-over-quarter, and net new ARR matched last quarter’s strong pace. Notably, the customer base expanded by 15, the largest quarterly gain in over three years, and million-dollar-plus clients reached a record 140, signaling successful upsell and cross-sell execution with large brands and platforms.
Operating margin reached a record 29% on a non-GAAP basis, up six points year-over-year, reflecting a highly fixed cost structure and ongoing offshoring initiatives. Free cash flow also reached an all-time high, enabling aggressive share repurchase activity that outpaced stock issuance. While marketplace revenue landed modestly below expectations due to timing, a sharp rebound in demand was seen late in the quarter, especially in CTV and commerce media use cases.
- Customer Expansion Momentum: Largest quarterly increase in total customers in 12 quarters, driven by lower churn and strong new logo wins.
- Reseller Partnerships Scaling: Notable growth in reseller channel, highlighted by the expanded Publicis agreement and new commerce media networks.
- Margin Expansion Outpaces Revenue: Operating margin growth continues to outstrip top-line gains, demonstrating cost leverage and disciplined investment.
Underlying sales activity was robust, with double-digit bookings growth and a healthy pipeline in AI partnerships and clean room solutions. Churn remained low, deal cycles stable, and average deal size increased, reinforcing the durability of LiveRamp’s platform in a shifting ad tech landscape.
Executive Commentary
"AI is a tailwind for our business, since we provide critical foundational infrastructure that allows our partners to utilize AI more effectively... Our platform, with our four competitive advantages, is exceptionally well positioned to serve as the core data network for AI-powered marketing."
Scott Howe, Chief Executive Officer
"Q3 was solid, coming in ahead of our guidance on the top line and especially on the bottom line. Record operating margin and free cash flow, a second consecutive quarter of strong net new ARR, strong growth in subscription customers, and ongoing returns to shareholders through our buyback."
Lauren Dillard, Chief Financial Officer
Strategic Positioning
1. AI as a Force Multiplier for Data Collaboration
LiveRamp’s core value proposition is amplified by AI adoption, as AI-powered marketing requires trusted, interoperable data networks. The company’s identity graph, interoperability across clouds and partners, privacy-first data governance, and network scale are increasingly vital to both incumbent and emerging AI applications. LiveRamp is embedding itself as the “plumbing” for AI-driven personalization, measurement, and optimization, with over 20 AI partnerships spanning both large tech and startups.
2. Usage-Based Pricing Unlocks Growth
Transitioning from fixed seat-based to usage-based pricing is lowering entry barriers and aligning revenue with data activity, especially for mid-market brands and reseller channels. The Publicis partnership exemplifies this shift, with economic neutrality between direct and indirect usage, and incentives for partners to innovate atop LiveRamp’s platform. The new model is expected to accelerate land-and-expand motions and improve customer retention, particularly as SMB and commerce media networks are brought into the fold.
3. Expanding into New Verticals and Channels
LiveRamp is diversifying beyond retail commerce into travel, food delivery, and financial services, leveraging its modular platform and pricing flexibility to serve a broader array of clients, including those with smaller budgets and self-serve needs. Recent integrations with Uber, PayPal, and major airlines illustrate this cross-vertical expansion, opening incremental revenue streams and deeper market penetration.
4. Clean Room and CTV Momentum
Clean room solutions are driving cross-sell and upsell activity, supporting commerce media, cross-platform measurement, and privacy-centric data collaboration. CTV (Connected TV) continues to outpace marketplace growth, with Netflix and other integrations scaling rapidly and catalyzing further clean room adoption for measurement use cases.
5. Capital Allocation Discipline
Record free cash flow is being funneled into share repurchases, reducing share count and underscoring management’s confidence in the business. Cost discipline, offshoring, and a focus on high-ROI growth initiatives are supporting both margin expansion and long-term investment in platform upgrades and go-to-market capabilities.
Key Considerations
LiveRamp’s Q3 reflects a business that is both adapting to and shaping the future of data-driven marketing. The company’s ability to balance margin expansion with strategic investment, while navigating rapid technological change, is central to its long-term thesis.
Key Considerations:
- AI Partnership Breadth: Portfolio approach to AI alliances ensures LiveRamp benefits regardless of which AI platforms or use cases dominate.
- Reseller Channel Leverage: Expanded partnerships with agencies and platforms like Publicis and Uber are deepening integration and creating new revenue levers.
- SMB and Vertical Penetration: Usage-based pricing and modular platform design are unlocking previously inaccessible customer segments, especially in travel, food delivery, and finance.
- Cost Structure Rigidity: Highly fixed cost base amplifies margin expansion as data volumes and usage activity scale.
- Marketplace Timing and Mix: Marketplace revenue remains subject to timing and mix shifts, but underlying demand in CTV and commerce media is robust.
Risks
Key risks include the pace of AI adoption and the potential for industry standards to fragment or slow integration, as well as competitive pressure from both large cloud providers and niche ad tech platforms. Regulatory changes around data privacy and shifting buyer preferences could also impact network effects and data marketplace growth. Management’s confidence in usage-based pricing is well supported, but execution risk remains as legacy clients transition to new models and as expansion into SMB and new verticals ramps up.
Forward Outlook
For Q4, LiveRamp guided to:
- Total revenue between $203 and $207 million
- Non-GAAP operating income of approximately $38 million and margin of 18%
For full-year 2026, management raised guidance:
- Revenue of $810 to $814 million (about 9% growth)
- Operating income of $180 million (33% YoY growth), margin expanding by 4 points to 22%
Management highlighted:
- Visibility to 10%+ growth in FY27 if current execution holds, underpinned by AI tailwinds and pricing model expansion
- Continued investment in platform upgrades and go-to-market initiatives, balanced by disciplined cost management and margin focus
Takeaways
LiveRamp’s Q3 results reinforce its positioning as a critical enabler in the evolving AI-powered advertising landscape.
- Network Effects Deepening: AI adoption and new pricing models are driving higher data volumes and customer expansion, compounding network scale.
- Margin Story Remains Central: Operating leverage is delivering record margin and cash flow, supporting both buybacks and reinvestment.
- Execution on Usage-Based Model and AI Partnerships: Investors should watch for continued traction in SMB, vertical expansion, and reseller channel growth as key indicators for sustained double-digit growth into FY27 and beyond.
Conclusion
LiveRamp is executing a disciplined, strategically sound pivot toward usage-based economics and AI network enablement, with the Q3 print validating both the durability and scalability of its model. The combination of deepening partnerships, expanding addressable market, and robust margin expansion positions the company well for continued outperformance as digital marketing undergoes AI-driven transformation.
Industry Read-Through
LiveRamp’s results provide a clear signal that data connectivity infrastructure is becoming more valuable as AI adoption accelerates across the advertising ecosystem. The shift to usage-based pricing and modular platforms is likely to ripple across ad tech and martech, especially as agencies and commerce networks seek more flexible, scalable solutions. The strong rebound in CTV and clean room adoption highlights where marketers are investing for privacy-centric, cross-platform measurement. Competitors and adjacent players should watch for increased demand for interoperable, privacy-first data networks and for the growing importance of partnerships that bridge legacy and AI-native platforms.