Scott E. Howe
Thank you, Drew, and thank you to everyone joining us today. Q1 was a good way to start the year, balancing both strong performance and optimism for the future. We had a very strong start to fiscal 2026 with first quarter results exceeding our expectations on both the top and bottom lines. We can also see opportunities to improve our performance that could impact the back half of the year and the years to come. Total revenue increased at a double-digit rate for the sixth consecutive quarter with double-digit growth in both subscription revenue as well as marketplace and other. Looking ahead, we have a robust new business pipeline and good sales momentum across several solutions on which I will elaborate in a minute. On the bottom line, non-GAAP operating income increased by 34%, driven by 3 points of margin expansion to a record first quarter high of 18%. Our organization continues to become more and more efficient, thanks to initiatives like our growing offshore presence in India and our forthcoming new pricing model. Q1 GAAP operating margin also reached a record high, expanding by 7 points, driven in part by lower stock-based compensation, reflecting new grant policies to rationalize these costs and better align with performance. Finally, we increased our FY '26 guidance for revenue and free cash flow. There's a lot to like in Q1, and Lauren will provide additional details later in the call. My remarks today will cover 3 main topics. First, an update on the products driving our current sales momentum, including Cross-Media Intelligence, Commerce Media Networks and CTV. Second, insights into our new pricing model and its potential to accelerate growth. And third, our perspective on how AI will transform digital advertising and its implications for LiveRamp's long-term significance and prospects. Let's start with the drivers behind sales momentum. Our data collaboration network is experiencing strong sales momentum, evidenced by an above-average conversion of pipeline into signings, a reduction in the average sales cycle length and an increase in average deal size during the first quarter. This momentum is primarily driven by our Cross-Media Intelligence, Commerce Media Networks and CTV solutions, which I will now discuss in detail. Our new Cross-Media Intelligence solution is surpassing initial expectations. Marketers often contend with outdated measurement tools that provide an incomplete and distorted view of effectiveness within today's fragmented digital ecosystem, leading to suboptimal decisions. Cross-Media Intelligence powered by state-of-the-art clean room technology addresses this by offering the most extensive collaboration network that seamlessly connects an array of ecosystem participants from advertisers and publishers to Commerce Media Networks, data providers and measurement partners. An identity foundation that enables privacy preserving data connectivity across the network, governance tools to implement and enforce unique data sharing policies between various collaborators. And finally, seamless interoperability across all major cloud environments. Launched in the first quarter Cross-Media Intelligence has already attracted several high-profile customers, including the largest social media platform, a leading CPG manufacturer, the largest consumer and enterprise software company, and a significant financial software provider. This strong start signals continued momentum in upcoming quarters. While Cross-Media Intelligence is our newest solution, Commerce Media Networks remain a significant growth driver. This quarter, Walgreens leveraged our technology for their new clean room solution, enhancing ad personalization, scaling real-time audience insights and increasing transparency and control for brand advertisers. We also secured a multiyear multimillion ACV upsell with a leading U.S. department store. Our Commerce Media growth extends beyond retail with airlines, casinos, automotive and real estate brokers actively launching networks. We expanded our partnership with Western Union, connecting their media network audiences to those of others for enhanced on and off-site advertising personalization. A new case study, one of several client success stories we highlight in our earnings presentation highlights our work with Lyft, connecting rider insights with advertiser first-party data. We anticipate continued growth in Commerce Media as we establish more partnerships in new industries, leveraging our work with food delivery companies for QSRs, payment plans for smaller merchants and travel sector clients for broader partnerships. CTV is another key driver of recent sales strength. After a year of integrating major CTV and streaming platforms into our network, we're seeing strong momentum with brands leveraging these growing ad destinations by connecting their first-party data to media exposures. For example, our Netflix integration has scaled a dozens of brands in just 4 months, offering the high-quality inventory every TV advertiser desires. This flywheel effect from adding large CTV nodes is expected to fuel continued growth. To reinforce our product discussion, it's worth noting that 2 leading tech research firms Forrester and IDC recently published reports independently validating our data collaboration platforms effectiveness. Forrester's Total Economic Impact Study, which we commissioned found that a representative LiveRamp customer achieved a 313% ROI and approximately $10 million in business benefits over 3 years with a payback period under 6 months. Additionally, for the second consecutive year, IDC recognized LiveRamp as a leader in its market scape vendor assessment for data clean room technology. More information on both reports is available at liveramp.com. My second main topic is pricing. We're modernizing our pricing model to offer customers greater flexibility and align costs with usage. Last month, we launched a pilot program with up to 40 customers. In just the first few weeks, we find several new customers to the new pricing model, including the world's largest quick-serve restaurant. This 6-month pilot will gather feedback before a broader rollout in FY '27. We have outgrown our existing pricing model, which has become overly complicated, both for customers and for us internally. The existing model also did not facilitate customer usage flexibility across our different capabilities. And certain customer types, namely media platforms and data providers, have been asking for a more flexible usage-based model. The new model addresses these issues by standardizing pricing with fungible tokens across all products, enhancing upsell opportunities. offering lower upfront costs to attract small and midsized new customers, particularly media platforms and data providers. Scaling pricing directly with customer usage and variable costs like cloud hosting, reducing billing SKUs and metrics with automated reporting to improve operational efficiency and lower our own operating costs. We anticipate sharing more details as the pilot progresses and the full launch nears. Finally, let me spend a few minutes on where we think advertising is headed with AI because this is going to fundamentally change how businesses connect with customers. We are not just seeing another advertising platform shift. We have been through these before, desktop to mobile, linear TV to streaming, print to digital. This is different. AI agents will change how consumers discover products and make purchase decisions. Think about it this way. Instead of people browsing websites or searching across different platforms to find products, they're going to ask an AI agent to find what they need. The agent does the research, makes the recommendation and maybe even completes the purchase. This is a very different customer journey, and businesses will need to adapt. First, brands must reach consumers with personalized messages across new destinations and new devices. New platforms are emerging, while existing platforms are evolving rapidly. Every major media company is embracing agents to enhance their consumer experiences and influence them across a growing array of devices, the myriad of screens we all use today plus a future, which may include watches, glasses or voice assistance. Businesses need to influence consumers wherever they are spending time. Second, there's a whole new set of tools emerging. An array of specialized agents, some for media optimization, others for measurement, marketing analytics, creative optimization, even personalized product recommendations. Businesses need tools that can integrate and help them leverage all these different agents. Third, and this is where it gets truly interesting for LiveRamp and our clients. The future will be fueled by data. The companies that win are going to be the ones that can feed these AI systems the richest signals, not just public information, but rather their own proprietary customer data as well as permission signals from across their partner ecosystem. Others see this also. For example, Salesforce recently announced an $8 billion acquisition of Informatica to bolster its data integration and management capabilities. And that's big, but I'm not sure there is a company that works across more fragmented, diverse and valuable customer data than LiveRamp. The future will be modeled from a mixture of first-party CRM data, transaction data from retail partners, behavioral signals for media platforms, contextual signals like prompts and environmental data, a myriad of second and third-party data. It's fragmented, complex and somewhat overwhelming for many companies, compounding the challenge. The most valuable signals won't be freely shared between competitors. Brands need trusted infrastructure that gives data owners control over how their proprietary information gets used and also facilitates turnkey scalability for all the various AI use cases each of our clients desires to utilize. As we've modernized LiveRamp's data collaboration platform, we've designed it for an AI future with the requisite capabilities and network to help marketers easily and effectively navigate this period of change. Data is fuel for AI models, agents and recommendations, and our data collaboration platform connects fragmented data across partners, creating a network effect where data scale compounds AI intelligence. Our platform also provides the governance and standardization necessary for the complex agentic era, offering shared identity frameworks, clean room interoperability and trusted measurement for secure and compliant connections. We will continue to enhance our network to be more programmable and real-time, supporting the secure flow of data that powers AI advertising. This represents a significant long-term growth opportunity for LiveRamp and clients view us as a critical partner for their AI ambitions. In closing, let me reiterate my key points. First, we delivered strong financial results in Q1, beating on the top and bottom line, delivering double-digit revenue growth for the sixth consecutive quarter and even more robust 34% operating income growth. We also increased our revenue and free cash flow outlook for the year. Second, we're advancing key growth initiatives. We're seeing strong sales momentum across our collaboration network, driven by Cross-Media Intelligence, Commerce Media and CTV. We also launched a pilot program for our new pricing model, which we believe will attract new clients and boost efficiency with benefits expected in the latter half of the fiscal year and beyond. Third, LiveRamp is well positioned for the AI-driven future of advertising. In this new AI era, we believe data connectivity, interoperability and strong partner networks will differentiate winners. We are well equipped to capitalize on this disruption, and we'll continue investing in our platform to be more programmable in real time, supporting the secure connection of data that will fuel AI advertising agents. Thank you again for joining us today. I also want to thank our exceptional customers, partners and all LiveRampers for their ongoing hard work and support. We look forward to updating you on our continued progress in the coming quarters. And with that, I'll turn the call over to Lauren.