The Strategy of Demand Generation

whitePaper | December 20, 2022

Customers are engaging with businesses on several channels, both online and offline. They want curated brand experiences that reflect an understanding of their preferences and needs. But the sad truth is that most businesses aren’t able to bridge the experience gap due to a host of reasons. This ebook explores these reasons and provides a deep dive into the essential elements of a future-ready customer service strategy that leverages AI and automation.

whitePaper | November 10, 2022

No matter where your software or SaaS business finds itself in the current cycle, buyer intent intelligence can help you navigate unknowns and better position your teams and business for future success. In unpredictable business cycles such as the COVID-19 global pandemic or the introduction of new data privacy legislation such as GDPR or the CCPA, sales and marketing teams may find themselves overwhelmed by leads for products and services that are in high demand, or they may struggle with a complete drop-off in business with no leads hitting their funnel at all. To achieve optimal performance and maximize campaign outcomes, marketing organizations increasingly turn to third-party intent data as a key resource to assist with revenue generation, customer retention and growth.

whitePaper | December 5, 2022

Efficiency and productivity are what will lead to efficient growth. Still, to achieve this, you must have the correct data and tools to project pipeline and align GTM teams around a strategy guaranteed to hit pipeline and revenue targets. That’s why we wrote this guide to help you develop a Sales Pipeline Readiness strategy that allows you to not only predict but also generate pipeline efficiently and effectively.

whitePaper | October 5, 2022

Our relationships with brands naturally change over time, and the radical, accelerated digital evolution of consumer behavior and expectations over the past two years only serves to underscore the need for instant gratification. Not long ago, CX professionals focused in large part on behavioral differences between generations—Millennial or Gen Z versus Boomer. But today’s CX behaviors and the challenges associated with them transcend generations. The pandemic has transformed most of us into digital natives.

whitePaper | July 13, 2021

Insight is the difference between what makes ABM truly distinct from just ‘marketing to accounts.’ In truth, it can make or break the success of ABM in even the most mature of programs. But knowing how to extract the right insight at the right time from the sea of data available can often leave marketers feeling overwhelmed. Supported by ITSMA thinking throughout, our practical guide, "Making Insight Intelligent", offers best practice advice helping you demystify the effective gathering and use of insight across some of the most common use cases within ABM. Inside we'll cover: The need, the landscape and the opportunity for insight in 2021 How to build an insight-first program How to create the right structure and processes for success, and establish robust measurement The insight you should leverage to drive business outcomes Five typical use cases: examples of the types of insight used to drive tangible outcomes in ABM

whitePaper | August 5, 2021

Most B2B marketers’ arsenals rely on third-party intent data, but the growing privacy restrictions affecting third-party cookies are forcing marketers to rethink the use of these popular tracking tools. Savvy marketers are recognizing the untapped potential of first-party intent data as a replacement for traditional tracking methods. First-party intent data is unique because it’s proprietary to the organization that harvests it from its prospects. This in-house data collection technique enables companies to have total control over the data and target specific accounts with tailored messaging. Coupled with the new privacy restrictions web browsers are implementing, it seems like a no-brainer for companies to increase reliance on - or get started with - this data set.