Customer segmentation with AI
Segmentation of customers with AI
We help you to reach your customers effectively by targeting them on the basis of customer segments.
Know your customers and address them specifically
In order to target your customers, you need to divide them into homogeneous groups. This is a challenge as the amount of customer data grows. This is where artificial intelligence comes into play: by using it in marketing, you can identify precise and finely graduated customer segments with a high level of detail and recognize hidden patterns.
This allows you to reach your target group precisely. Every message you send is a direct hit - no wastage, just happy faces!
We are a member of the
From the data to the customized product
From the data to the individual product
Would you like to establish customer segmentation with AI in your company? This is how it goes on:
Project Kick-Off
In the first workshop, we work together to gain an understanding of your use case and your business. We record your requirements and define project goals.
MVP
In the next step, we develop a minimum viable product (MVP). Through iterative processes, an AI system is created that serves as a solid foundation for future developments.
Further development
Individual extension
In this phase, we adapt to your needs. Our aim is to end up with a product that meets your wishes and requirements.
25 % more customer loyalty
25 % less customer churn
through customized offers for the target group
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The challenge
Adaptation to rapidly changing customer needs that require real-time analysis and personalization of marketing measures is not possible using traditional methods.
Solution
Segmentation of customers with AI-based model. Creating customer profiles with machine learning techniques. Use of data sources such as purchase history, online behavioral data and demographic data to gain insights into preferences and buying habits.
Result
The AI-based customer segmentation model provides insights into customer behavior. The company uses this to effectively align its marketing strategies. A personalized customer approach increases customer satisfaction and boosts sales.
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25 % less migration
through precise predictions and churn prevention
Telecommunications
- Increased churn rate leads to loss of sales
- Traditional methods are not sufficient
- High costs for new customer acquisition due to customer churn
- Need to integrate and analyze extensive and diverse customer data
Azure, Power BI
- AI-based model for predicting customer churn
- Use of decision trees and neural networks to identify migration trends
- Use and consolidation of data sources such as user behavior, customer service interactions, contract information, demographic data
The introduction of an AI-based churn prediction system effectively reduces the churn rate and significantly increases customer loyalty. Thanks to machine learning, the company is able to make predictions about potential customer churn. On this basis, it takes proactive preventative measures. This leads to higher customer satisfaction and increased customer loyalty. The use of the AI system also reduces operating costs.
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