Customer Lifetime Value

Determining customer value allows companies to focus their sales and marketing activities on the most valuable customers (or customer groups) – both in acquiring new customers and in retaining the existing customer base.

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Customer lifetime value at a glance

With the Customer Lifetime Value, you can determine the value of your customers

Challenge

Managing new and existing customer relationships is a crucial task for marketing and sales teams. This requires the efficient use of available resources. Companies often face the challenge of identifying the most valuable customers (or customer groups) in the long term. However, manually calculating customer value is often a significant challenge, as it requires considering and relating various factors.

Approach

AI-based methods allow for the data-driven calculation of Customer Lifetime Value (CLV). This encompasses the projected revenue expected to be generated by a specific customer over the entire duration of the future business relationship. The calculation utilizes historical shopping carts, purchases, and churn rates to enable the most accurate predictions for future development.

Result

AI is excellent for improving the accuracy of value-related forecasts. Reliable CLV predictions allow companies to focus their sales and marketing activities on the most valuable customers (or customer groups). This ensures that available resources are used as efficiently and profitably as possible.

Our strength

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

How does customer lifetime analysis work?

How Customer Lifetime Analysis works

In customer lifetime analysis, the expected revenue is estimated based on a customer's (or segment's) purchase history. The AI model learns how purchasing histories have typically unfolded in the past and applies these patterns to the current customers (or segments).

Benefits of AI-based customer lifetime

Automated customer value determination

With Data Science and artificial intelligence, companies can determine the value of their customers (or customer groups) automatically and efficiently.

Focus on valuable customers

Companies can precisely align their product portfolio, marketing activities, and sales strategies with the most valuable customers.

Long-term customer retention

By focusing on the most valuable customers, satisfaction measures can be targeted to retain customers for the long term.

More efficiency

Customer Lifetime Value analysis enables companies to allocate limited resources in the right places.

Interested? Let's talk!

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
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Response within 24 hours
Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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