TOP MISTAKES TO AVOID WHEN BUILDING A DEMAND CENTER

whitePaper | July 14, 2021

Built on evidence-based research from some of our partners, including ITSMA, we present insightful analysis and practical steps you can implement in your organization to take any ABM program to the next level through better measurement. Built for ABM-ers, our guide outlines the best approaches to implement an ABM measurement framework and communicate your ABM strategy and results from the C-suite down. Inside we'll cover: The necessary framework for ABM measurement - "The Three R's" How to apply the The Three R's to different ABM programs How to measure effectively across Organizational Alignment, Data & Analytics and Systems & Tools How to develop an ABM measurement dashboard How to scale ABM through better measurement

whitePaper | December 10, 2022

Almost a decade ago, McKinsey Global Institute found that data-driven organizations are not only 23 times more likely to acquire customers, but also six times as likely to retain customers, and 19 times more profitable than their competitors. Yet in 2021, NewVantage Partners found that “only 24% of organizations are data-driven.” With the velocity, volume, and variety of data, it is not easy to go from data to insights to action. Organizations struggle with bad data, siloed data, and multiple versions of the truth. No longer is it about having enough data, the focus is on having the right data and knowing what to do with it once you do.

whitePaper | January 27, 2022

ABM focuses on targeting the right accounts at the right time and treating your prospect as a market of one. But an often-overlooked component within targeting campaigns is understanding the customer — generating insights into account activities are the missing link. The challenge lies in figuring out which points of information are most relevant to your prospect and crafting a plan to fully leverage them to drive engagement. Enterprise buyers are increasingly protective of their time, while a potential vendor that still expects the luxury of a lengthy introduction and a recounting of what challenges stand in the way of the organization’s progress is unlikely to move the relationship forward.

whitePaper | September 1, 2022

This paper focuses on the value of clean data and what it means for business development and the potential for increased profits when clean data is enhanced with intent data and fit. A report from the Royal Mail found that 34% of marketers don’t recognize the impact of poor data on their bottom line. It also estimates that approximately 6% of a company’s annual revenue is lost through the use of poor data.

whitePaper | January 6, 2023

Since the beginning of B2B marketing as we know it, marketers have struggled with the question of how to get in front of the right prospects at the precise moment they’re ready to buy. For decades, the only solution was to use firmographic data (company size, industry, geographic footprint, etc.) which unfortunately offered no insights into whether the target would be ready to buy today, next quarter, next year, or ever. Things improved somewhat when technographic data came on the scene. By finding out which tools, technologies, and applications a company used, marketers could gain deeper insights into what they buy, how they operate, and what they might be looking to do next.

whitePaper | October 4, 2022

Gartner has predicted that by next year (2022), profitability will overtake customer experience (CX) as a top strategic priority. This change is part of a longer-term trend. CFOs want rigorous measurement of marketing activities. Metrics like cost per acquisition are at a premium. These metrics are linear and atomic, much like accounting and financial data. This conundrum has led to a plethora of methods and tools to measure marketing effectiveness, and ultimately to optimize the marketing mix. But now this confusing landscape cries out for a more clear-eyed answer of “what’s really working and what’s not?” when it comes to marketing measurement and optimization. The answers are not simple or easy.