Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Driving customer loyalty in a disaggregated industry
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > Driving customer loyalty in a disaggregated industry
Business IntelligenceCRMData MiningPredictive Analytics

Driving customer loyalty in a disaggregated industry

JamesTaylor
JamesTaylor
4 Min Read
SHARE

Copyright © 2009 James Taylor. Visit the original article at Driving customer loyalty in a disaggregated industry.Steve Zannos of NEW Customer Service Companies presented on customer loyalty in an industry with lots of third parties involved. NEW provides service support to companies who sell products and works with 30,000 independent service agents – everything from […]


Copyright © 2009 James Taylor. Visit the original article at Driving customer loyalty in a disaggregated industry.

Steve Zannos of NEW Customer Service Companies presented on customer loyalty in an industry with lots of third parties involved. NEW provides service support to companies who sell products and works with 30,000 independent service agents – everything from single technicians to large depots to national networks. They try to drive customer loyalty through this wide network of service companies. NEW supports the whole customer service lifecycle from purchase to installation, support, upgrades or renewals right through to disposal.

Customer loyalty is critical in the current economic climate, as previously noted, because it is harder than ever to acquire new customers. Reducing the leakage of customers through churn/defection is essential. Customer satisfaction is impacted by service quality. Generally customer satisfaction starts high and drops when something goes wrong (more or less depending on the product and how involved people are in the product) while returning to original or even better levels if the customer service exceeds expectations. This is the focus of NEW – how to make sure customer satisfaction and this loyalty nounce back when service is needed.

More Read

What’s the Difference Between Business Intelligence (BI) and EPM?
Access Layer Data and Sensor-2-Server
5 Big Data Trends That Will Change AI In 2018
Solving the Challenge of Customer-Facing Analytics
Case Study : Competitive Intelligence for Telecommunications

The key challenge is in maintaining visibility and control of the service experience given the disaggregated marketplace. Not all of the servicers have IT connections to NEW and some of the servicers are not even automated. How parts are provided by companies to independent servicers also varies hugely and this has a significant impact on customer satisfaction.

Key steps then:

  • Customer Care
    Contact center or web portal is the critical first impression. Real-time appointment scheduling, rapid parts ordering and, most important, troubleshooting to solve the problem without a service visit.
  • Service Management
    Real-time updates of service events and visibility to activity – eliminate delays. Need to be able to support customers when they call and get proactive with customers wherever possible.
  • Analytics
    Using analytics to reveal trends to help decision makers and show product reliability. Capturing transactional data and using this to reveal trends about products and about the service chain.
  • Quality
    Customer satisfaction monitoring and using these measures to improve service delivery

Parts management turns out to be very important and NEW manages parts from multiple sources while using its data to improve parts forecasting and diagnostics for problems.

Sadly he did not actually spend much time talking about how they manage customer loyalty – he articulated the problems well but that was about it. I would be curious if they use rules (I think they are a Corticon customer) or their recent acquisition of ServiceBench (which has rules and analytics capabilities) here.

Previous


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic
data=driven approach
Turning Dead Zones Into Data-Driven Opportunities In Retail Spaces
Big Data Exclusive Infographic
smarter manufacturing
Connecting the Factory Floor: Efficient Integration for Smarter Manufacturing
Infographic News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

“Average” Statistics that Bruise Our Ears

4 Min Read

Information Availability: Exploiting the Full Value of Information to Drive Business

5 Min Read

Merry Xmas!

1 Min Read

E-Government: Out With the Old or In With the New?

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?