Customer Lifetime Value (CLV) – Calculation & Implementation in Marketing

This webinar will be run by our Trusted Partner DYMATRIX. Please note it will be held in German.

As a central part of successful customer relationship management (CRM), Customer Lifetime Value (CLV) classically belongs in the toolbox of every seasoned marketing manager. CLV doesn’t just reflect historical customer data, it also predicts future customer behavior e.g. in the form of predicted revenue, going far beyond the classical RFM-Score (recency, frequency, monetary) using advanced analytics to provide  reliable predictions about future developments.

With CLV you can allocate your marketing and sales budgets efficiently and in doing so put your customers at the center of your marketing activities. That way you boost your customer satisfaction and maximize your profits.

At the webinar we will discuss the following questions:

• Which data do you need to calculate the CLV?
• What components is the CLV comprised of?
• How does an exemplary calculation of a CLV model work using the KNIME* software?
• What applications and benefits does the CLV offer for your marketing?
   

What are the goals of this webinar?

You will understand how the Customer Lifetime Value (CLV) works, how it is sensibly applied, and what significance it carries for your marketing and sales operations. You will see an exemplary CLV calculation using the open source software KNIME Analytics Platform and get insights into the practical implementation and application.
Bring your questions to ask our experts during the live Q&A session.
 

Who is this webinar for?

We welcome all interested viewers to our webinar and think that CMOs, senior marketing managers, and  junior data scientists will find it particularly of interest.
 

Who are the speakers?

• Andrea Eberhart, Consultant Analytics | DYMATRIX
• Kilian Thiel, Head of Partner Management – EMEA | KNIME

*The webinar will be a cooperative session between KNIME and DYMATRIX. DYMATRIX is a KNIME Trusted Partner. Both companies have a close, long standing partnership. For more infos visit: https://www.dymatrix.de/loesungen/analytics-technologies (website in German)