TechValidate Research on Neustar


Neustar Case Study

Medium Enterprise Health Care Company

Introduction

This case study of a medium enterprise health care company is based on a January 2020 survey of Neustar customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“Helps us keep our Numbers organized with quick access.”

“Great service and quick to respond.”

Challenges

The business challenges that led the profiled company to evaluate and ultimately select Neustar:

  • Key drivers for implementing the Neustar Caller Name Optimization (CNO) service:
    • Protect against carriers from blocking or tagging of calls as SPAM, ROBOCALL, or FRAUD
    • Fix inaccurate or inconsistent Caller ID information
    • Access a central management portal to update and share their Caller ID information across carriers and analytics providers
    • Ability to customize Caller ID for different campaigns or A/B testing

Selection Criteria

The key reasons for working with Neustar:

  • Has been a Neustar Caller Name Optimization (CNO) customer for 1-2 years.
  • Why they chose Neustar Caller Name Optimization over other solutions:
    • Depth of technical expertise
    • Ease of doing business

Results

The surveyed company achieved the following results with Neustar:

  • Since using Neustar, they have reduced operational costs for outbound calling by 10-25%.
  • Agree with Neustar in the following areas:
    • Increased call answer rates: agree
    • Reduced or eliminated incorrect call blocking or tagging: agree
    • Enhanced how their brand displays: agree
    • Increased consistency and accuracy of caller ID on their outbound calls: strongly agree
    • Increased their brand identity protection from fraudsters: agree
    • Improved time and cost efficiency by reaching target audience the first time: agree




About This Data

This data was sourced directly from verified users of Neustar by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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