Many – myself included – have written about the growth in technologies designed to aid in business-to-business sales and sales management by serving sales reps, line managers, executives and operations. But one area that has been ill-served is technical presales, or sales engineering. You may ask why this should matter. Aren’t presales engineers all about demonstrations? How could technology – beyond video conferencing – help?
There is much vendor activity and customer interest in making better use of data, to improve the sales process in the face of increased pressure to achieve organization revenue goals. As detailed in my Analyst Perspective: The Art and Science of Sales from the “Inside Out," enhanced buyer research as well as the inclusion of more people in the buying process, have made selling harder, evidenced by a general trend of declining quota attainment. There is no denying that better use of data can help in prioritizing and helping to advance the sales process more effectively. But this is not the whole story. Whereas generating interest and qualifying opportunity is a key part of the sales team’s role, all this progress can be undone with a cumbersome and clunky configure, price and quoting (CPQ) and contract life cycle management (CLM) process. Automated and digitized systems that handle these elements aid greatly toward a winning/successful close process and will set the right tenor for a continuing and sustained customer relationship. And although CPQ is often thought of as part of the finance department, as contracts are with legal, both of these processes should be seen as adjuncts of the sales process, and both sales and revenue leadership and operations teams need to align with finance and legal. My colleague Robert Kugel covers the finance perspective in more detail in his Analyst Perspective: Configure, Price and Quote Software Supports Profitability Management.
Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness. It means the workforce in many organizations does not have access to the same information by which they are being measured. It means organizations must find other ways to communicate with, and manage, the workforce.
Topics: Sales, business intelligence, embedded analytics, Analytics, Data, Sales Performance Management, Digital Technology, Digital Commerce, natural language processing, subscription management, partner management, Revenue Management, Sales Engagement, Collaborative & Conversational Computing
Revenue performance management and the role of revenue operations is moving to the forefront of sales organizations, aligning departments around a single view of the business with shared revenue targets and goals. This facilitates the needs of the sales department as well as customer experience, marketing and renewals. The concept of RevOps does not yet have a widely shared common definition within organizations. Because revenue organizations include workers associated with sales operations, there tends to be a bias that RevOps leans towards sales management with the addition of customer success for retention and marketing.
Ventana Research recently announced its 2022 Market Agenda for the Office of Revenue, continuing the guidance we have offered for nearly two decades to help organizations realize optimal value from applying technology to improve business outcomes. Chief sales and revenue officers and their associated operations teams are experts in their respective fields but may not have the guidance needed to employ technology effectively. As we look to 2022, we are focusing on the entire selling and buying life cycle and the applications that simplify and improve interactions throughout the customer experience.
Topics: Sales, Analytics, Internet of Things, Data, Sales Performance Management, Digital Technology, Digital Commerce, Conversational Computing, AI and Machine Learning, mobile computing, subscription management, extended reality, intelligent sales, partner management, Sales Engagement