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  • All
  • Cloud
    • Solutions
    • Virtualization
  • Data
    • Analytics
    • Big Data
    • Customer Data Platform
  • Digital
    • Digital Marketing
    • Social Media Marketing
  • Finance
    • Cost Management
    • Risk & Compliance
  • Human Resources
    • HR Solutions
    • Talent Management
  • IT Infra
    • App Management Solutions
    • Best Practices
    • Datacenter Solutions
    • Infra Solutions
    • Networking
    • Storage
    • Unified Communication
  • Mobility
  • Sales & Marketing
    • Customer Relationship Management
    • Sales Enablement
  • Security
  • Tech
    • Artificial Intelligence
    • Augmented Reality
    • Blockchain
    • Chatbots
    • Internet of Things
    • Machine Learning
    • Virtual Reality
Vendor comparison scorecard

Vendor comparison scorecard

DemandScience
Published by: Research Desk Released: Nov 27, 2023

Historically, marketers evaluate their lead generation vendors based on a traditional progression model.

While booked revenue IS the top priority, too often, the traditional scoring model causes “responsibility confusion.” A Lead Gen vendor’s job is to deliver leads that:

  1. Match a previously agreed upon ICP
  2. Contain accurate contact information
  3. Deliver quickly, cost-effectively and securely

Only recently has intent and predictive analytics evolved from a nice to have to a need to have with the goal of accelerating lead conversions to MQLs

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