Customer analytics

Customer analytics as a key enabler for digital transformation and a cross-channel customer experience absolutely indispensable. Digitalisation is impacting almost all businesses comprehensively and across all industries: New channels are changing customer interaction along the entire customer journey. In parallel, the risk of innovative lateral entrants with a potentially disruptive character appearing in your own market is increasing. As a company, you need to understand the market and the customer better and better in order to remain competitive. A company-wide coherent customer image helps you to do this: Identify your customers' needs in advance - and derive individual and context-sensitive recommendations for action from them!

Strengthening customer focus - what solutions exist?

The best-known customer analytics solutions in the field of data science are the following quantitative methods: (1) customer segmentation and (2) customer value analysis.

Customer analytics

Customer segmentation

  • Classify customers according to characteristics (clustering)
  • Create customer groups and segments for better understanding
  • Implement marketing measures in a more targeted manner
  • Generating long-term and loyal customer relationships
Customer analytics

Customer lifetime value (CLV)

  • The customer value results from the customer observation 
  • Specific customer differentiation based on behaviour 
  • Identification of "good" and "bad" customers 
  • Mapping a clear profile of customers' preferences and wishes 
  • Definition and calculation of a customer value for better estimation of costs 
CONTACT
Responsible for Customer Analytics topics

"With Customer Analytics vennoble the revenue of your business activity by prmore precisely the customers, who offer you added value. Identify identify dissatisfied customers dissatisfied customers at an early stage and minimise their churn rate.."

Dr Eric Trumm, Head of Data Science Workshop

Eric Trumm is Head of Innovation at s-peers AG
Dr. Eric Trumm
Head of innovation

What is Customer Analytics?

Customer analytics enables companies to better understand their customers. This requires not only a reliable data base, but also the know-how to derive the right decisions from it. On the basis of AI and data science, solutions are designed which solutions are designed that show decisive trends and patterns in the customer data along the customer journey and thus provide a sound basis for decisions. This allows potential to be recognised more quickly and targeted measures to be initiated directly.

What is Customer Analytics: Questions sign on Customer Analytics book

Without customer analytics, this is what happens:

Lack of customer centricity

Needs become not recognised and not measured.

Rising marketing costs

Through a one for all communication policy results in higher and not attributable costs.

Decline in customer satisfaction

Without Customer segmentation remain individual needs remain unrecognised.

Rising churn rate

Dissatisfied customers cancel

Which software solution do we use for customer analytics?

Data management

Customers-Infrastructure or

SAP Data Warehouse Cloud

.

Predictive analyses

Python/R in cloud environment (e.g. Google Cloud Platform(GCP))

Reporting/Visualisation

Customer tool (e.g. Tableau, Qliksense) or SAP Analytics Cloud

KNOWLEDGE

Useful information

More information

Customer lifetime analysis

Customer segmentation

All solutions

Company