A complete guide to call center analytics: III

1. Cross-channel analytics

Customers today, have been provided with multiple channels through which they expect to be able to reach and interact with call center agents. The data flowing in from each of these channels contains valuable insights. This call center analytics enables organizations to identify and evaluate the data so gauged and choose the best channels for interaction with customers. Cross-channel analytics provides a way to determine what channels any of their customers are using at a given moment, and tailor their service options accordingly. Agents can provide a personalized and exceptional customer interaction if they have the required information at their fingertips.

Cross channel analytics
Cross-channel analytics

2. Self-service analytics:

This is yet another call center analytics that enables the users to access and analyze corporate data even if they are not trained as a data scientist and do not have any working experience with business intelligence and data mining. Self-service analytics helps to do so through the use of tools that simplify the ease of understanding. It further enables organizations to solve the problems and needs of a large number of businesses that too without the need for data professionals. Self-service requires minimal human involvement and helps cater a larger number of customers efficiently.

Self-service analytics
Self-service analytics

3. Performance analytics:

Performance analytics exempts the dependency of call center managers on daily reports and roll ups so as to know how well things are going. It basically offers online reporting and dashboard views of critical performance data, both real-time and historical, in context. This call center analytics enables the organizations to gauge and update relevant information and insights. Based on this information and insights, it further enables the organizations to take pro-active steps to ensure the best possible service to their customers. Thus, it actually helps enhance the customer experience to a large extent.

Performance analytics
Performance analytics

 

 

Benefits of using speech analytics: II

1.Deflates operating expenses:

Speech analytics can help deflate operating expenses by detecting cost savings and ways to avoid spending money while generating incremental revenue. In order to tune a speech analytics application for a specific site, a significant investment in time and resources is required. This highly efficacious technology then filters out and provides cost savings data across the board. This enables the call center owners to avoid counterproductive spending and enhance their reputation among businesses requiring call centers. Moreover, it improves customer experience.

Reduce costs
Golden coins and red arrow Graph falls on white background

2. Reduces customer churn:

Speech analytics can help businesses/ organizations to curb customer churn. The tools engaged in this process can be used to identify the factors responsible for customer churn. It provides an opportunity to all such businesses to make the changes necessary to keep customers coming back. This results in improved quality service which further improves customer experiences and satisfaction, giving customers less of a reason to leave. Also, the more information companies gather about existing and potential customers, the better they can take advantage of general consumer behavior.

Reduces customer churn
Reduces customer churn

3. Improves customer experience:

This amazing software can be used for audio data analysis. This data analysis includes:i)

i) detecting things like emotion and stress in a customer’s voice

ii) the reason for the call

iii) the products mentioned and more

With the help of speech analytics, organizations can quickly identify a customer’s needs, wants and expectations, and work to meet them. These days, more and more call centers are relying on call center speech analytics to enhance customer experience. Organizations depending on call centers to provide their customers with satisfying and fruitful interactions can actually leverage the power of this wonderful technology to take their business elsewhere by discovering inferior agent-customer synergy.

Customer experience
Customer experience