Hype Cycle for CRM Sales, 2018


Published: 09 July 2018 ID: G00338571

Analyst(s): |

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Summary

Companies place heavy emphasis on increasing sales operational efficiency and effectiveness to optimize sales outcomes such as revenue or profit margins. To improve sales execution, application leaders supporting sales technologies must evaluate those that are emerging to maturing in the Hype Cycle.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Conversational Engagement Analytics
      • IoT for CRM Sales
      • Partner Data Exchange Platforms
      • Sales Enablement Platforms
      • Algorithmic Guided Selling
      • Virtual Digital Sales Assistant
      • Quota Planning
      • BI Search/Natural Language Query
      • Embedded Analytics
    • At the Peak
      • Visual Configuration
      • Voice-Driven Sales Apps
      • Recurring Revenue Management
      • Customer Success Management
      • Voice of the Customer
    • Sliding Into the Trough
      • Account-Based Marketing
      • Sales Predictive Analytics
      • Sales Training and Coaching Solutions
      • Predictive B2B Marketing Analytics
      • Mobile Sales Productivity
      • Integrated Planning
      • Social for Sales
      • Sales Acceleration
      • Sales Performance Management
    • Climbing the Slope
      • Price Optimization and Management for B2B
      • Territory Planning
      • MDM of Customer Data
      • Partner Relationship Management (PRM)
      • CPQ Application Suites
      • Sales Analytics
      • Data Intelligence Solutions for Sales
      • Sales Contract Management
    • Entering the Plateau
      • Lead Management
      • Digital Content Management for Sales
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
© 2018 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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