Subscription-based business models have seen exponential growth over the last decade. The growth of this recurring revenue business model, where a subscriber commits to repeatedly pay for a good or device for a fixed or indefinite timeline, has been caused by the shift from the one-time selling of physical products to selling digital services on a subscription basis. The first phase of this transformation was led by “digitally native” organizations, typically B2C, that have only ever offered services via subscription. Although a large market in its own right, it is still dwarfed by businesses selling physical products. But this market is also changing, as more and more traditional organizations transition some or all of their revenue to the subscription economy. Ventana Research asserts that through 2023, fewer than half of organizations will have the correct technology in place to support such a transition. This Analyst Perspective looks at some of the key implications of this transition and what it means for technology choices as companies move toward a subscription management approach to overseeing the subscribers and usage of their products and services.
Topics: Sales, Customer Experience, Office of Finance, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Contact Center, Product Information Management, Price and Revenue Management, Digital Commerce, Enterprise Resource Planning, ERP and Continuous Accounting, natural language processing, robotic finance, AI and Machine Learning, revenue and lease accounting, subscription management, agent management, intelligent sales, sales enablement
I’m very excited to announce to my network as well as the ever-expanding Ventana Research community that I’m now directing Ventana Research’s Office of Sales practice. The focus is to guide and educate sales and business professionals on the selling applications and technology including digital commerce, price and revenue management, product information management, sales enablement, sales performance management and subscription management. While these are the main topics of our Office of Sales practice, my decades of experience in analytics, artificial intelligence (AI) and planning are part of what I bring to the firm to help advance the science of selling.
Topics: Sales, embedded analytics, Analytics, Business Intelligence, Collaboration, Data, Product Information Management, Sales Performance Management, Price and Revenue Management, Digital Technology, Work and Resource Management, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, intelligent sales, sales enablement
Sales plays a lead role in the revenue and growth of every organization. Whether the selling is direct or indirect, what happens in the sales department has ramifications that are perilous to underestimate. The imperative to maintain business continuity becomes painfully clear in a global pandemic, and that imperative demands that organizations cultivate sales excellence. This effort should start with leadership and engage sales operations, management and professionals with the objective of building customer relationships that can survive the test of time. The health of a sales organization hinges on an effective selling experience, and this requires technology investments that enable leaders to not just manage sales performance but help inspire it every single day.
Configure, price and quote (CPQ) software has been around for decades. Lately, I’ve been using the term “Dynamic CPQ” to apply to a variant of this software category that explicitly aims to produce a quote that optimizes the trade-off between the profitability of a deal and the probability of closing a sale. Dynamic CPQ software is a hybrid of price and revenue optimization (PRO) software and CPQ, providing companies with the ability to better execute their market share and pricing strategies. It’s designed especially for business-to-business (B2B) relationships that involve sales agents in the pricing process.
Topics: Customer Experience, Office of Finance, Data Preparation, Information Management, Sales Performance Management, Financial Performance Management, Price and Revenue Management, robotic finance, revenue and lease accounting, sales enablement