Pipeline Management Strategy for More Wins

With all the advances in sales technology and analytics, you would expect sales teams to have all the data they need about each sales opportunity to accurately forecast sales.  However, that isn’t the case.  Research by Bohanec, Kljajic Borstnar and Robnik-Sikonja in the study “Integration of machine learning insights into organizational learning, A case of B2B sales forecasting” found that: ...

New year, new blog series!   The new blog series will focus on “Best Practices for B2B Sales Pipeline and Forecast Management”.   This covers a big area so this series could take most of 2020 to complete and its frequency will be more often than once a month.    The reason for this blog series is companies continue to rely on human intuition and instinct to produce sales forecasts.  They continue to spend significant time managing, manually reviewing and updating the sales forecast despite advances in sales technology. ...

The Integrated Solutions Will Provide Deep Insights into Pipeline Activity and Forecasting - Enabling Targeted Learning that Elevates Sales Performance WALTHAM, Mass. and ST. LOUIS, Jan. 21, 2020 /PRNewswire/ -- Brainshark, Inc., the industry's only data-driven sales readiness platform, and TopOPPS, a leading provider of artificial intelligence (AI)-based sales pipeline management and forecast predictability solutions, today announced they have formed a strategic partnership. The partnership – which includes an integration of Brainshark and TopOPPS solutions – will empower sales organizations to deliver "in-the-moment" guidance that improves reps' skills at key points throughout the sales cycle. ...

  SiriusDecisions outlines “One Solution for Sales Superpowers”.  [Spoiler alert] - it is sales engagement.   If it is “the one solution” to supercharge your revenue engine, why isn’t it widely used?   Why isn’t it the most popular application in the “sales world”?  We will get back to that, but first lets make sure we are on the same page. Sales Engagement Defined  Sales engagement is defined as interactions that take place between the buyer and seller.  Sales engagement includes four core functions based on SiriusDecisions definition:  calling/dialing, email, calendarizing and reporting. ...

  The sales forecast is the linchpin of a company’s future.  If it is right and can be trusted the companies’ operations run smoother and its financial stability is more secure.  Typically this isn't easy.  The sales forecasting process is shared by the Chief Revenue Officer[CRO] and the Chief Financial Officer[CFO].  The challenge is both have different motivations on its accuracy and neither have a complete vision of its drivers or its accuracy.   When the forecasting process is trusted and transparent it relieves stress on both the CRO and the CFO.  This blog reviews how this can be accomplished.  ...

  In my previous blog I outlined 21 different sales technology categories for the Sales Application Stack .  These categories were consolidated from various industry analysts research. That blog highlighted the difference between data integration and application embedding and highlighted the benefits of application embedding and selecting software vendors who have strategic partnerships with other software providers in the CRM application space.   The concepts of application embedding needs to be expanded with the concept of “application in context”.  “Applications in context” is applications working “in context” with applications to solve a series of problems in a consistent and cohesive manner without derailing the users thought process. ...

  One of the things I like to track are stories I heard in kindergarten that persist through life.  The Emperor’s New Clothes is one of them.  I can’t tell you how many times I’ve been in meetings, listening to what is being discussed and ideas explored and wanted to yell out, “THE EMPEROR IS NAKED”. ...

  The last seven blogs provide a business-case approach to infusing AI through the entire sales process.  One of the purposes of this blog series was to demystify AI by using AI for Sales as an  example.  Media tends to portray AI as a magic bullet.  Actual implementations show the less “black box” an AI solution is and the more “glass box” approach, the more utility it provides to the user.  The utility is created by uncovering the key drivers of an outcome and managing those drivers to increase results. ...