CustomerValueWorx

Optimize your marketing actions for increasing customer value and customer loyalty.

With CustomerValueWorx you focus your retention measures on the most relevant customers and, depending on the individual customer value, find optimized communication measures for retaining the customer in the long term.

  • Improved customer loyalty through understanding its driving forces
  • Calculation of accurate scores for churn probability, customer win-back probability, upselling etc.
  • Micro-segmentation of the customers into groups reacting similarly to certain measures
  • Selection of appropriate measures for preventing churn, winning back customers and upselling as well as for increasing the customer value
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  • Hands-on decision-making support

    It’s not just about data, it’s about reliable insights. Our tool gives you the right insights and clear recommendations how to act.

  • Demonstrably increase the customer value

    Cutting-edge marketing analytics enables you to identify those customers for whom communication measures should be considered.

  • Customize the software to your individual needs

    Customize the form of presentation of results to how you would like to have it. Optimize different target figures: loyalty, save rates, churn rates, customer value – while respecting all your constraints.

  • Get going right away with your existing data

    Data already available in virtually every company (customer master data, contract history, CRM data) provides a sufficient starting point for CustomerValueWorx and can later be supplemented by additional datasets as needed.

5 steps to success

You’ve got historical data about your customers: master data, transaction data etc.

You feed that data into CustomerValueWorx, comfortably, securely and anonymously. Local use in your datacenter is also possible.

You explore relevant customer groups and their characteristics for retention measures.

You conduct campaigns tailored specifically to your customer groups.

Your profitable customers increase in number!

You’ve got historical data about your customers: master data, transaction data etc.

1

You feed that data into CustomerValueWorx, comfortably, securely and anonymously. Local use in your datacenter is also possible.

2

You explore relevant customer groups and their characteristics for retention measures.

3

You conduct campaigns tailored specifically to your customer groups.

4

Your profitable customers increase in number!

5

Case Studies: CustomerValueWorx

We bring modern marketing analytics to the decision maker’s desktop. More than ten years’ project experience has been brought together and concentrated in tools tailored to five key marketing issues. Find out how our clients overcame their challenges with the help of Analyx.

More efficient churn prevention based on improved identification of churners

Case study: Telecommunications

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Client

A major European cable operator

Initial situation

Churn rate of contract customers too high

Objective

To pinpoint potential churners with high customer value and derive effective prevention measures

Insights

Individual churn risk could be determined reliably by intelligently combining drivers like contract history, trouble tickets and several terabytes of modem data. By adding the customer value, profitable measures could then be derived (e.g. outbound vs. SMS campaign).

Impact

Accuracy could be vastly improved compared with the estimate of churn risk previously applied in the company and, as a consequence, the churn rate could be significantly lowered once prevention measures were implemented.

Increase in the repurchase rate

Case study: e-commerce

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Client

One of the largest European online marketplaces

Initial situation

Repurchase rate too low (70% one-time buyers) and very broad spectrum of customer types and needs

Objective

To maximize the repurchase rate by means of micro-segmenting and segment-specific addressing of customers, including analytical determination of the next best offer

Insights

On the basis of customer profile and transaction data, 12 clearly differentiated segments could be identified (75% assignment accuracy following the first order).

Impact

Distinct increase in the repurchase rate

Contact

Our specialists have been supporting clients across a range of industries for many years now and have extensive experience in strategy development, marketing optimization and consulting. Would you like to find out more about Analyx and its products? Feel free to contact us!

Markus Hoyer

Markus Hoyer
Senior Project Manager

Markus Hoyer looks back on many years’ experience in market research, strategy development and customer analysis. Having previously served at Procter & Gamble, McKinsey and most recently forsa, he now supports our clients in overcoming business challenges with the help of predictive analytics.