Enterprise organizations are inherently global; they tend to have multiple product lines, serve multiple geographics and languages. Yet when each part of the business chooses its own ABM approach and technology solution, costs explode and teams battle their peers for business, causing anarchy within the organization and sowing confusion among target accounts. The danger is that everyone ends up competing for resources; and too often those resources are poorly allocated when it comes to supporting the overall business strategy, which requires having a comprehensive view of what’s happening.
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With traditional models turned permanently on their heads, enterprise marketers must be savvy about which strategies can help achieve these goals and which inadvertently distance and disconnect them from high-value accounts and customers. This session will explore five winning ABM strategies — distilled from case studies, proven best practices and data — to equip enterprise marketers with the information needed for success.
If you're a marketer in an enterprise organization, much of today's ABM best practice is at odds with the needs and sophistication of your operating environment. Reflective of the simpler needs of smaller organizations, most of this advice would drive up costs, increase complexity, and result in near unmeasurable programs for you.
As the debate over account-based marketing “best practices” rages on, perhaps the biggest struggle lies with enterprise-class marketing and sales organizations.
Are you an enterprise account-based marketer stuck in an SMB "best practices" box? It's time to break free and tackle the complexity of your needs as they include multiple products, geographies, and marketing channels.
Intent data by itself is interesting but not actionable; Predictive analytics by itself lacks the insight needed to start relevant conversations. Combine the two, and you’ve found your B2B Marketing sweet spot! This session will offer specific learning into how brands across different industries are combining intent data and predictive analytics in ABM and other targeted initiatives
AI makes it possible to know the B2B buyer like never before and to begin to answer critical questions about what works in attracting and engaging those buyers. B2B buying is conducted by buying teams, so why do most sales teams focus on just individual buyers?
In a response to Andrew Gaffney’s video titled: The Data Points For Engaging B2B Buyers, MRP’s CMO Jim Regan spotlights the challenges marketers face when trying to organize all the different data sources — which include activity data, signal data, intent data, data acquisition and engagement. He also discusses how to avoid creating silos among all these different data categories and how to get them all into one platform that can trigger action.
Join our guest Steve Casey, Principal Analyst for B2B marketing at Forrester, and Jim Regan, CMO and Co-Founder at MRP, to learn why artificial intelligence and machine learning are crucial to future proofing your account based marketing strategy. ABM and AI are converging and delivering actionable triggers to transform your customers’ experiences forever.
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