The B2B sales technology landscape is continually evolving, driven by advancements in digital
transformation and the ever-increasing demand for efficient and effective sales. In fact, LinkedIn
research found that 76% of sales professionals cite sales technology as “critical” or “extremely critical” to closing deals. With that in mind, it’s imperative that B2B practitioners ensure their sales technology is diverse, competitive and modernized.
This special report will explore how organizations are utilizing advanced data analytics and predictive modeling to gain invaluable insights into customer behavior, enabling personalized sales strategies that foster stronger client relationships. Specific topics of discussion will include:
- The steps needed to implement a data-driven sales process that helps practitioners identify the most critical insights and make informed decisions;
- The increasing role artificial intelligence and machine learning play in personalizing
- interactions and analyzing buyer behavior;
- Why practitioners are selecting sales technologies that simultaneously automate time-consuming sales tasks while delivering a more personalized customer experience; and
- Real-world examples and expert commentary into the current landscape of sales technology.
