Insights
Latest IR news and announcements for LiveRamp Holdings, Inc. (RAMP).
LiveRamp Holdings reported a 10% revenue increase year-over-year for Q1 FY27, with significant growth in operating income. The company is on track for its acquisition by Publicis Groupe, expected to close by the end of 2026.
LiveRamp enhances its Cross-Media Intelligence solution by integrating Meta campaign data, allowing marketers to measure and optimize campaigns across various media channels, including social, CTV, and programmatic, for improved performance insights.
LiveRamp will release its financial results for the first quarter of fiscal 2027 on August 5, 2026, but will not hold a conference call or provide guidance due to a pending transaction with Publicis Groupe.
A joint report by LiveRamp and MMA reveals that minor data gaps can significantly distort marketing measurement, leading to misguided budget decisions. The study emphasizes the importance of data collaboration for accurate attribution and performance insights.
LiveRamp has partnered with Adobe to integrate commerce purchase data into Adobe GenStudio for Commerce Media Networks, enhancing targeted advertising capabilities for brands and improving campaign effectiveness within this rapidly growing advertising channel.
LiveRamp introduces the LiveRamp Agent Builders (LAB) program, aimed at accelerating the deployment of AI-powered agents for marketers, enhancing planning, measurement, and data transformation capabilities through a collaborative network of partners.
LiveRamp's Q4 revenue rose 9% year-over-year, while annual operating cash flow reached a record $168 million. The company has entered an agreement for acquisition by Publicis Groupe at an equity value of $2.5 billion.
LiveRamp Holdings will announce its fiscal 2026 fourth quarter financial results on May 21, 2026, followed by a conference call at 1:30 p.m. PT to discuss the results with investors and analysts.
LiveRamp announces integration of NVIDIA AI infrastructure, enabling up to 15x faster model training and inference in its clean rooms, allowing brands and AI partners to efficiently handle complex AI workloads while ensuring data security.