Revenue data solutions (RDS) provide proprietary, third-party and AI/ML-driven customer data to commercial teams. They make this data accessible as a stand-alone offering and/or through a SaaS product for integration into various technologies across the revenue tech stack. Data-driven commercial teams rely on RDS’ actionable context and guidance to prioritize and engage buyers. RDS solutions are used across functions to facilitate scoring, planning, business analytics and data management.
Sales engagement applications (SEAs) streamline how sellers execute sales activities and deal workflows at scale. They optimize seller productivity by combining three key capabilities into a single interface: multichannel engagement (e.g., email, voice, SMS, video, social media), outbound workflow execution and time-saving AI/automation. Sellers rely on SEAs to streamline guidance into whom to engage and when, and what messaging to use, while capturing sales activities back into sales force automation (SFA) platforms.