Lifestyle Segmentation

 

 

 

 

 

 

 

 

 

 

 

 
 
 
 

Lifestyle Segmentation: Understand your customers better and align product range strategies around customer needs.

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Place the customer at the center of your business!

You need in-depth knowledge about who your customers really are to understand their buying behavior and ensure increased efficiency and profitability levels.

A lifestyle segmentation based on shopping behavior is the fundamental key to precise and improved customer insight. It allows you to derive a wide range of customer-oriented measures for each customer phase; from improving the way you approach customers throughout the entire customer lifecycle to aligning your campaigns with purchasing interests.

Optimize your product range strategies to make them customer-focused:
Which product lines or departments need be promoted in the future?
How can we design a customer-focused store?
Which brands should be listed more?

A lifestyle segmentation will answer these questions and more.

This customer-oriented realignment increases satisfaction, loyalty and longevity rates. These customers migrate less often and are happy to recommend you and your company to others.

Campaign Intelligence Tool (CIT)

Use your previous experience to plan efficient campaigns in the future!

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The Campaign Intelligence Tool ensures a closed loop and optimizes future campaign planning and design.

The Campaign Intelligence Tool, allows the results from previous campaigns to be centralized, summarized and compared with one another. An interactive dashboard with visuals of aggregated campaign results gives you invaluable insights for the design and planning of new campaigns.

Firstly, your previous campaign results are brought together and analyzed in a central database. The campaign results are then evaluated and aggregated based on relevant KPIs (e.g. participation rates, profile per customer or additional revenue).

Interactive dashboards allow you to select relevant target dimensions and campaigns and to visualize the results. You can choose the optimal campaign parameters in relation to the relevant target KPI.

Use your previous experience to plan efficient campaigns in the future!

Discover more here!

Time saving

Time savings of up to 30% and a simplified campaign planning and design process based on an efficient use of previous experience.

Increase ROI

Increases campaign ROI by up to 40% and avoids sunk costs.
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Overview of Results

Compressed overview of all past campaigns results in one place.

Dashboard Presentation

User-friendly and intuitive presentation in an interactive dashboard.
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Campaign Optimization

Optimization of campaign planning and data-based predictability of results.

Self-Service Analytics

Enables self-service analytics and relieves the analysis team.

Business Intelligence

Business Intelligence lays the foundation for a data-driven decision-making culture

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Make successful decisions by optimizing your reporting to allow access to the insights hidden in your data.

​Every company retains a multitude of data with the potential to become valuable business insight.
Business Intelligence allows you to interpret this data to better understand your own company. It permits you to make fact-based strategic decisions.

Rather than generating a flood of information, we present targeted data for each customer group in an easily understandable way without losing data in the process. We support the identification and formulation of problems, the selection and definition of suitable KPIs and the implementation of automated processes for the calculation and presentation of these key indicators.

Predictive modeling

Statistical predictions are more precise than ever – utilize them!

In predictive modeling, statistical methods are used to predict future events. These can be corporate key figures, social trends, but also personal behavior. When predicting the latter, we refer to “Scoring” – each person / customer is assigned an individual probability (a score) that a certain event (such as purchase, termination, inactivity, etc.) will occur. This is where your data and DataLab’s analytical expertise come into play. We can make precise predictions about the behavior of your customers using statistical models from time series analysis, machine learning algorithms, data mining methods and Bayesian methods.

DataLab’s service goes one step further.  Our service offer includes the implementation our services on your systems, combined with automatic updates of the models (self-learning algorithms). This guarantees permanently valid results.

 

Example: Predicting customer inactivity

1. Preparing transaction data

The starting point for the analysis is existing transaction data. This is supplemented by other data sources, some of which are customer-specific (e.g. cookie data), some of which are global (weather, seasonal campaigns, etc.).

2. Use of machine learning methods

A statistical model is “trained” based on past customer data. It allows the forecasting of future buying behavior and the prediction of inactivity.

3. Customer-specific churn probabilities

Customers with a high risk of termination or inactivity are identified and (appropriate) action is given. Success measurements are in turn incorporated into the statistical model.

Are you interested in customer value analyses, recommendation systems or other analytical solutions?

Just contact us, we will be happy to help you!

Phone: +49 (211) 417 419 670
Fax: +49 (211) 417 419 679
E-Mail: info@datalab-crm.de

Jan Hendrik Seidel is our Director of Analytics & IT and your contact for Customer Analytics at DataLab. In addition to his extensive knowledge of technologies in the Big Data environment, he is an expert in statistical modeling, data mining and machine learning and has extensive experience of implementing analytical CRM projects.

 

Jan Hendrik Seidel

Director of Analytics & IT and contact for DataLab Big Data Analytics, at DataLab. GmbH