Gartner defines account-based marketing (ABM) platforms as software that enables B2B marketing and sales teams to run ABM programs at scale, including account selection, planning, engagement and reporting. Platforms enable the creation of target account lists by unifying first- and third-party data. In addition, platforms may engage audiences by activating channels such as display advertising, social advertising, email and sales engagement, using a mix of native capabilities and integrations. ABM platforms help B2B marketers and sellers to create a set of target accounts and engage buying team members with relevant outreach and content to help buyers explore and evaluate their solutions. To support this effort, ABM platforms offer capabilities to engage audiences by activating channels such as: Display advertising and retargeting Social advertising Email Personalized webpages Sales engagement
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.
Revenue intelligence platforms are third-party solutions that enhance the activity management, deal insights and pipeline analytics offered by sales force automation (SFA) platforms. Predominantly used by B2B sales organizations, revenue intelligence platforms facilitate the capture of sales interactions and coach sellers to quickly anticipate buyers’ needs. They use AI/ML technology to amplify the value of commercial data, accelerate sales cycles and provide better visibility and insights on pipeline performance.
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.
The market for SA platforms in customer service and support is an application that analyzes speech content in customer interactions in real time and postcontact. Vendors providing these services offer the following solutions: -Transcription and metadata for traits of the interaction, including sentiment analysis -Interface for designing workflows and visualizing data -Storage and flexible deployment options -Ability to customize speech models, encrypt and redact sensitive data, and integrate with the enterprise ecosystem. Informed application of SA technology capabilities will help customer service and support leaders monitor and evaluate customer interactions to improve customer and employee experience. SA platforms can either be stand-alone analytics platforms with integration capabilities or can be included natively as part of broader customer engagement suites.