November 05, 2019
November 05, 2019
Contributor: Jordan Bryan
Sales leaders will need to leverage new technology and tools for reps as they help B2B buyers through the complex buying journey.
Imagine a tailored sales training tool that knows you want to hear mock customer calls. Or a program that asks you to role-play in a simulation. These types of training tools aren’t too far away. Sales enablement solutions, fueled by artificial intelligence (AI) and machine learning, promise to improve sales team efficiency and scalability in unimaginable ways.
“To date, sales leaders have focused on improving internal processes to support sales enablement through better in-person training, coaching and optimized content distribution,” says Melissa Hilbert, Senior Director Analyst, Gartner. “But the future of sales training and coaching technology will upend the experience as we know it.”
Technology alone is not the answer. Success will depend on a holistic approach to sales enablement that considers content, training and coaching requirements, as well as careful selection, implementation and delivery.
"Unfortunately, many organizations do not take a holistic approach. This can increase spend on more pieces of technology than needed and winds up decreasing engagement and ROI," says Hilbert.
Sales leaders should consider these methods to improve and justify new technology and sales enablement tools.
In general, sellers use content to persuade, expecting it will lead to action — and they can’t close deals without satisfying the knowledge and education needs of their prospects.
Sales leaders must evaluate tools and the way reps use them. Digital content management solutions (DCMS) can help sellers to:
Read more: Emerging Technologies in Gartner Sales Technologies Bullseye
Training and coaching aren’t a novel concept in any organization. Training typically takes the form of a long, all-day “after the sales kickoff” event that introduces a new product or provides time for coaching from front-line managers. Both focus on speeding the ramp-up to selling.
“Over the past two years, there has been an increase in the use of complex machine learning algorithms and AI included in sales training and coaching technologies,” says Hilbert. “This will give sales leaders an automated ability to support individual learning, such as tailored teachings based on learning style, in the next few years.”
Technology, supported by the rise of AI, provides a scalable yet personalized approach to coaching that develops sales capabilities rather than just supporting individual deals, allows for progress tracking and helps to cascade the best practices of top reps to others.
The key to building sales skills within the organization is to offer a blended approach that includes both formal and informal learning activities in multiple delivery methods and formats. Technology enables sellers to identify and access learning in the style that best suits them.
“Acquiring and implementing new technology and systems for sales has turned out to be the easier part of the equation, but delivery can be the key to improving performance,” says Hilbert.
Read more: The Evolution of Sales Training and Coaching
“Seventy-one percent of executives surveyed by Gartner said they had plans to deploy sales enablement tools to support sales training, coaching and onboarding in the next two years,” says Hilbert. “Seventy-seven percent indicate they were in the process of, or are going to, deploy sales digital content management or guided selling tools in the next two years.”
Sales leaders must benchmark their development plans to properly reflect the extent of change. Adoption rates, seller productivity and pipeline conversion rates top the list for justifying sales enablement funding.
Use and adoption metrics are most common, as they are most directly attributable to enablement initiatives. However, more than one-third of organizations don’t track productivity metrics, and only one-half track performance metrics.
To better analyze the impact of enablement investments, organizations should track the outcomes they are ultimately trying to influence. Accordingly:
This article has been updated from the original, published on October 11, 2018, to reflect new events, conditions or research.