Big Data Predictive Analytics of the Churn Rate

Big Data Predictive Analytics of the Churn Rate

Big Data Predictive Analytics of the Churn Rate

Expert: Michael Scharpf

Industry: Automotive & Engineering

Area: Marketing & Sales

Increase customer loyalty and reduce costs with our Big Data Predictive Analytics to identify switching candidates.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

In the automotive industry, it is expensive to win a new customer. Therefore, it is crucial to identify customers with switching intentions at an early stage and retain them through appropriate measures. Our client, a leading car manufacturer, was faced with the challenge of identifying customers with a high risk of switching and understanding the reasons for their churn behaviour.

[Solution]

To predict customer switching intentions, we used a generalised linear model (GLM). The GLM uses various data sources, including customer, vehicle and social media data, to create a holistic customer history. Using this data, we performed modelling to determine the likelihood of customer churn and identify the drivers of it.

[Result]

Thanks to our method, we were able to identify exactly those customers who had the highest risk of switching. By targeting these customers and developing appropriate customer retention measures, our client was able to significantly reduce churn rates. Resource allocation in the company became more effective and the company was able to both save costs and increase customer loyalty. The method has a hit rate of 90%, which means that our model was able to correctly predict churn in most cases.

Our project shows how Big Data Predictive Analytics can help companies better understand their customers and develop effective marketing strategies. The use of machine learning methods such as GLM and the use of social media data enables companies to develop a deep understanding of their customers and better understand their needs and wants. This can help businesses not only retain customers, but also attract new ones and increase their sales.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Michael Scharpf - Key Account Manager

Your expert

Michael Scharpf | Sr. Principal Key Account Manager | Alexander Thamm GmbH

Competition analysis software for an international automotive group

Competition analysis software for an international automotive group

Competition analysis software for an international automotive group

Expert: Michael Scharpf

Industry: Automotive & Engineering

Area: Marketing & Sales

Conquer the US market with our customised competitive analysis software for your automotive company.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

Our company had the pleasure of developing a customised solution for an automotive company to conduct competitive analysis for the US market. The company was struggling to collect and visualise the data needed for a thorough analysis. The data sets were large and complex, and the company did not have the necessary tools and technology to process them effectively.

[Solution]

Our team of experienced data analysts and AI experts worked closely with the company to implement an interactive and flexible application to perform competitive analysis. The application included different maps with two different views to provide users with a wide range of visualisation options.

By using the latest technologies and tools, we were able to ensure that the application was easy to use and user-friendly. Users had the possibility to filter and visualise the data in different ways to find relevant information quickly and easily.

[Result]

The result was a powerful competitive analysis software that enabled the company to identify, analyse and visualise relevant markets. The retailer or the respective sales department now had the possibility to compare the direct competition with their own product and visualise the relevant data. With our solution, users could quickly and easily access extensive data that was previously difficult to access. The visualisation of the data enabled the company to gain important insights into the market and make better decisions.

Thanks to our solution, the company was able to improve its competitive analysis and gain valuable insights that enabled it to improve its marketing strategy and strengthen its position in the US market. Our clients value our expertise in data analytics and AI technologies as we always strive to develop innovative solutions that help them grow their business.

If you too are looking for powerful competitive analysis software to help you identify relevant markets and improve your marketing strategy, don't hesitate to contact us. We pride ourselves on providing you with customised solutions that are tailored to your individual business needs.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Michael Scharpf - Key Account Manager

Your expert

Michael Scharpf | Sr. Principal Key Account Manager | Alexander Thamm GmbH

Analysis and calculation of the customer retention rate

Analysis and calculation of the customer retention rate

Analysis and calculation 
the customer retention rate

Expert: Michael Scharpf

Industry: Automotive & Engineering

Area: Marketing & Sales

Are you losing track of your customer retention? We can help you focus on your most valuable customers with our innovative retention rate analysis and calculation solution.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

A successful aftersales sector is crucial for car manufacturers to retain customers in the long term and increase sales. One important metric for this is the retention rate. However, a leading car manufacturer was faced with the challenge of calculating and analysing the retention rate in different markets and at different levels of aggregation.

[Solution]

In order to increase customer loyalty and the turnover of the car manufacturer, the company relied on the support of data scientists from Alexander Thamm GmbH. They developed an analysis tool that not only allows the retention rate to be broken down according to vehicle attributes, but also allows the vehicles to be divided into dynamically definable age segments and the rate to be calculated on different reference dates. In addition, information on service packages and special equipment was linked to the tool.

[Result]

Thanks to the implementation of the tool, the individual markets of the car manufacturer can independently carry out success measurements of customer campaigns. The big advantage here is that automating the calculations not only saves a lot of effort, but also improves the quality assurance of the results. In addition, the tool opens up the possibility of increasing customer loyalty and customer turnover through active upselling of service packages and special equipment.

In addition to providing the analysis tool, Alexander Thamm GmbH also helped the car manufacturer to improve its overall data strategy. This included, among other things, the definition of data standards and processes as well as the introduction of data quality management methods.

For companies that also want to calculate and analyse their customer retention rate, Alexander Thamm GmbH offers a customised solution. By using modern technologies such as data science and artificial intelligence, we support our customers in optimising their business processes and achieving business management goals. If you too would like to increase your customer loyalty and boost sales, please feel free to contact us and let us develop a suitable solution together. And who knows, maybe we will soon be able to count your company among our satisfied customers who have been able to successfully calculate and increase their customer retention rate.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Michael Scharpf - Key Account Manager

Your expert

Michael Scharpf | Sr. Principal Key Account Manager | Alexander Thamm GmbH

Customer insights dashboard for a direct bank

Customer insights dashboard for a direct bank

Customer insights dashboard for a direct bank

Expert: Linh Nguyen

Industry: Finance & Insurance

Area: Marketing & Sales

Learn how we helped a direct bank better understand their customers with our Customer Insights Dashboard and thus successfully market their products.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

The challenge for a German direct bank was to analyse its customer groups in terms of their product activity and socio-demographic attributes in order to determine cross- and up-selling potentials. For this purpose, dependencies between the different financial products had to be identified.

[Solution]

We brought together various data sources for our client and created a Customer Insights Dashboard using QlikView. The dashboard offers a variety of levels of granularity to provide in-depth analysis for customers. The dashboard includes:

  • An overview of the KPIs for selected products
  • Uncovering the correlations between products
  • Comparison of two customer groups with regard to their socio-demographic data and product behaviour
  • Ability to jump to detailed product dashboards for in-depth analysis

We developed a data integration strategy for our client to integrate all relevant data sources into the dashboard. The dashboard was designed to be easy to use and yet very meaningful. It provides a user-friendly interface that allows the client to easily analyse and understand their data.

The dashboard is able to display the most important KPIs for product usage and customer analysis. This makes it possible to quickly and easily identify valuable customer groups. The dashboard also reveals product dependencies and identifies cross- and upselling potentials. In addition, customers can jump to detailed product dashboards with one click to gain even deeper insights into their data.

[Result]

Thanks to the Customer Insights Dashboard we created, our direct bank was able to quickly and easily identify valuable customer groups and determine their cross- and upselling potential. The dashboard also uncovered product dependencies that enabled the client to optimise its marketing and sales strategies and thus increase its revenue.

Our client was delighted with the simplicity and effectiveness of the dashboard. He was able to look at his data in a new way and base his decisions on sound insights. With our Customer Insights Dashboard, the client got a powerful solution for data analysis and decision making.

Our Customer Insights Dashboard provides our clients with a powerful analytics and decision-making solution. Our expertise in data analytics and artificial intelligence allows us to help our clients run their businesses more effectively and understand their customers better. With our Customer Insights Dashboard, companies can gain valuable insights to optimise and grow their business.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Linh Nguyen - Key Account Manager

Your expert

Linh Nguyen | Principal Key Account Manager | Alexander Thamm GmbH

Internet-of-Things sample application: Connected pinball machine

Internet-of-Things sample application: Connected pinball machine

Internet-of-Things sample application: Connected pinball machine

Expert: Michael Scharpf

Industry: Other

Area: Marketing & Sales

A pinball machine from the 80s becomes a networked high-tech device: Find out how our Connected Pinball became a unique example project thanks to the Internet of Things and Machine Learning.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

In our internal project, we had a special challenge: to network an old, ur-analogue product, a pinball machine from 1987, with modern technology and thus make the concept of the Internet of Things (IoT) tangible. The goal was to collect data and develop predictive models for the game.

[Solution]

To overcome the challenge, we opted for a solution based on the use of Raspberry Pis, camera and machine learning algorithms. By using two Raspberry Pis, the pinball machine could be networked with various sensors and actuators to collect data in real time. A camera was added to capture unstructured image data showing the current game state. Machine learning was then used to develop predictive models and create customised D3 visualisations to analyse and display game play.

[Result]

The result was impressive: the game on the pinball machine was visualised in real time on two monitors and a pattern recognition system identified the current score based on the recorded image data. This gave the team a new opportunity to explore the Internet of Things with modern technology and to apply data analysis methods. The project illustrates how artificial intelligence and machine learning can be used to develop innovative applications even on supposedly old-fashioned devices.

To implement the project, we used Python as the programming language and TensorFlow as the machine learning framework. The combination of these technologies allowed us to effectively process the pinball machine data and develop predictive models.

Overall, the project shows how innovative technologies such as IoT and Artificial Intelligence can be used to open up new possibilities for data analysis and support companies in their growth.

This example shows how the concept of the Internet of Things can be made tangible through collaboration with our company. The combination of Raspberry Pis, Machine Learning algorithms and D3 visualisations allowed us to develop predictive models and collect data in real time. The result is an innovative application that shows how Artificial Intelligence and Machine Learning can be used on old devices like a pinball machine.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Michael Scharpf - Key Account Manager

Your expert

Michael Scharpf | Sr. Principal Key Account Manager | Alexander Thamm GmbH