customer care tag
5 result(s) displayed for customer care (1 - 5 of 5):
By: Peter Bernstein, TMCnet Senior Editor
No matter where one looks these days, be it in enterprises or service providers, there can be no disputing that enhancing the customer experience has become a top, if not along with security the top, C-level concern.
Indeed, from burnishing the brand to enhancing customer loyalty, having permission to upsell and getting early visibility on new opportunities the customer experience (CX is now the short appellation) has become a cross line-of-business preoccupation and priority. This has meant business units’ increased attention on listening to, analyzing and reacting upon needs arising from the “voice of the customer” (or certainly knowing more about their service usage behavior), and IT department focus on providing the tools necessary to support these requirements.
It has also meant that businesses of all sizes and vertical markets are changing their views on what it takes to have a better understanding of the customers. This means using new metrics for success. It also has highlighted the realization that you need to look at life cycle management of customers, i.e., as the headline says it is no longer about the destination in the form of a sale but is about assuring optimization of what has been popularized as “The Customer Journey.”
Ultimately, what it has also meant is that organizations need not only the tools, skills and strategies to optimize the customer journey but also need to be able do so quickly. The reasons are obvious but worth repeating. Competitors are becoming more nimble and customers armed with better real-time information themselves have become more fickle. Time is of the essence.
Illustrative of an area where there is, or certainly should be, a sense of urgency regarding having all of the capabilities to optimize the customer journey is in the global mobile services business. This is a sector rife with competition and susceptible to high churn rates. The good news is that the information that resides in the network and various lines-of-business (LOBs), when properly mined, analyzed and acted upon can give service providers more satisfied customers and a competitive edge.
The question is, where are the places to go to get the information and tools needed? The answer can be seen in a recent Alcatel-Lucent webinar, “LTE, It’s Not About the Destination, but the Journey,” which is embedded in its entirety below.
By: Alan Marks, Senior Product Marketing Manager, Alcatel-Lucent’s Motive Customer Experience Solutions
The increasingly competitive broadband market has service providers facing new challenges as they deliver services to today’s Internet-connected home. One challenge is delivering technical support for the rapidly increasing number of Internet-connected devices in the home. Consumers are now connecting gaming consoles, smart phones, tablets and other devices to their residential gateway, and their broadband Internet service. In light of this increasingly complex and dynamic technological landscape, it is no surprise that service providers have turned to analytics to better understand their customers’ needs.
In this fourth installment of the Six Degrees of Mobile Data Plan Innovation blog series, Alcatel-Lucent’s Rich Crowe examines application-based data plans. These plans let mobile subscribers use specific applications without consuming their data allowance.
Removing the worry from mobile application use
How would you like to use your favorite mobile applications without having to worry about going over your data limit and paying overage fees? That’s the idea behind application-based data plans. You pay a monthly fee to use one or more specific applications as much as you want. The data consumed by these applications doesn’t count against your data plan. In some cases, your mobile network operator may decide to make selected applications available without impacting your data plan in exchange for a very nominal fee.
Two categories of applications are particularly well suited to application-based pricing. The first are data-hungry applications, like video and multimedia. Today, some consumers use these applications sparingly because they fear going over data limits and incurring overage charges. The second includes core applications that don’t consume much data, such as text-only e-mail or social networking. These applications may be used to introduce subscribers to the world of mobile data.
In this second installment of the Six Degrees of Mobile Data Plan Innovation blog series, Alcatel-Lucent’s Rich Crowe takes a closer look at service level-based data plans. These plans can be used to give subscribers opportunities to enhance their mobile data services in exchange for a monthly or per-use fee.
What do consumers think about service level-based plans?
In February 2013, Alcatel-Lucent asked mobile broadband consumers in six countries about the concept of service level-based data plans. Globally, two-thirds of respondents said they would be interested in a premium service that could provide an enhanced quality of service (QoS).
By Thomas Fuerst, Senior Director, Multimedia Solutions MarketingAlcatel-Lucent
Monitoring and analyzing network data proactively saves operators time, money, and customers.
When a network service fails, it makes headlines, ticks off customers, and costs that network operator money. When a failure is headed off in advance, on the other hand, there might not be praise-laden headlines, but it's newsworthy nonetheless.
The traditional approach to customer care has typically been: a disgruntled customer calls customer service and complains of a service interruption or problem; the rep, learning of it for the first time, sends out a technician the next day, and eventually finds a resolution. Often, customers are left feeling put out, and the operator has spent significant time and money resolving the problem. Even worse is the customer who doesn’t call and just feels this is ‘typical’ of their network experience. That is a customer at risk of leaving.
Proactive care flips this dynamic on its head by using predictive analytics to identify potential outages or errors in the network and stop them before they occur. It consists of three main parts: one, constantly monitoring and measuring data on the network; two, real-time analysis of the data; and three, the most important, acting on that analysis to fix the problem.