Madison Logic, a leading global account-based marketing (ABM) platform, today announced that they have an arrangement with LinkedIn Marketing Solutions digital asset management. With this new integration with the LinkedIn Marketing Analytics API, joint LinkedIn and Madison Logic clients can now measure accounts across three marketing channels on one unified, integrated platform to make smarter marketing and sales decisions martech news.
“Today’s B2B marketers struggle to demonstrate their value due to the ongoing commoditization of products and solutions,” says Tom O’Regan, CEO of Madison Logic. “ABM marketers need to measure the impact of their account-based, paid media strategies – and make the insights available across the marketing and sales organizations – to achieve their desired goals. With the integration with LinkedIn’s Marketing Analytics API, ML Platform now equips account-based marketers with the insights to better target, engage, and personalize their ABM campaigns across multiple channels – including LinkedIn – from one unified platform martech.”
Account-based marketers are now able to adopt an amplified, multi-channel ABM strategy – one that prioritizes the best accounts for engagement, measurement, and personalization across content syndication, display advertising, and LinkedIn campaigns. Alongside our Salesforce, Marketo, and Oracle Eloqua integrations, the new LinkedIn Marketing Analytics API integration establishes ML Platform as the premier market solution to streamline funnel management across three channels using Madison Logic’s proprietary ML Data Cloud and Journey Acceleration™.
“Nearly 90% of ABM leaders who are currently piloting ABM planned to increase ABM spending,” says Malachi Threadgill, Principal Analyst, account-based marketing practice at Forrester. “The ability to measure and prove the success of their investments in ABM across content syndication, display and LinkedIn through the ML Platform is a huge advantage for joint customers.”
“The aggregate account-level reporting in the ML Platform allowed us to see how top prospects were engaging with marketing messaging across our three biggest channels,” says Kevin Salas, Senior Director of Demand Generation at M-Files. “Sharing this data with sales has enabled more impactful conversations with prospective clients.”
By bringing together data from many sources with the account-level insights across three channels, marketers can use the ML Platform to make smarter decisions on which accounts to target and which content to serve to drive the most valuable engagement.
Once marketers begin to engage accounts across LinkedIn, display, and content syndication, they will be able to accurately measure account-based engagement throughout the entire revenue cycle with granular, account-level insights and metrics. These account-based insights are arming sales organizations with key account data to inform when sales should engage prospects with the most relative messaging, empowering sales & marketing to make smarter decisions that will help their business close faster.