Predictive Analytics – use AI to predict Customer Behaviour

Predictive Analytics tells you what your customers will want tomorrow and how you can reach them. With validated models such as nbo and customer lifetime value, you can increase efficiency, customer loyalty and ROI – based on data and supported by AI.

Header graphic: DYMATRIX Predictive Analytics

Think ahead: That's what our Predictive Analytics offers

Predictive Analytics calculates precise forecasts of your customers' future behaviour – based on your real customer data, comprehensible and validated. You can choose from a variety of models: You tell us what goals and insights you want to achieve, and we suggest the appropriate predictive analyses.

USP graphic: More efficient resource utilisation through AI predictions
More efficient Use of Resources through AI-supported Predictions


Understand what your customers will demand tomorrow and focus your resources on the most promising measures.

USP graphic: Focussing on targeted measures
Targeted Focus on promising Measures


Focus your resources on the most promising measures and minimise wastage to efficiently achieve your marketing goals.

USP graphic: ROI increase through prioritisation of contacts
Increase ROI by Prioritising Contacts


Identify the most valuable contacts and predict the optimal time and channel for addressing them to increase your conversion rate.

USP graphic: Optimisation of customer loyalty along the customer lifecycle
Optimised Customer Retention along the Customer Lifecycle


Automatically keep an eye on the customer lifecycle of your customers and take appropriate, personalised action at an early stage in each phase.

USP graphic: Higher customer satisfaction through personalised customer experience
Higher Customer Satisfaction thanks to personalised Customer Experience


Whether it's personalised recommendations or perfectly timed messaging thanks to precise forecasts – your customers feel understood and valued.

USP graphic: Competitive advantage through opportunity and risk analysis
Always one Step ahead of the Competition


Identify opportunities and risks before others do with methods like affinity modelling, and respond faster to behavioural changes.

Next Best Offer: Precise Recommendations for more Conversions   

Predictive analytics determines the offers with the highest purchase probability for each individual customer based on their actual interests and needs. This way, each customer receives exactly the content that will attract their attention, and you increase your cross-/upselling conversions. 

Decographic: Next Best Offer recommendations for online shopping based on data

Affinity Modelling: recognise high-potential Customers

Affinity is a prediction model that combines historical customer data with lookalike audiences. It helps you identify customers who show similar behaviour to existing buyers. This way, you can recognise potential customers who are likely to be interested in certain products, product groups, assortments or price categories based on the patterns of customers who have taken similar actions in the past.

Decographic: Determination of potential and affinity modelling based on data

Cancellation Prediction: Prevent Churn before it happens

Our industry-specific churn models identify customers at risk of churn. You can use the churn score to identify them early on and take targeted measures to retain valuable customers.

Decographic: Prevent customer churn and improve satisfaction based on churn score

Customer Lifetime Value: Know your Customer Value

With our customer lifetime value (CLV), you can identify not only your best customers but also those with the highest potential. By combining current and predicted CLV – differentiated by new, existing and inactive customers – you can plan and prioritise your marketing measures cost-effectively.

Decographic: Recognising customer lifetime value at an early stage and making marketing measures more cost-efficient

Seond Order Push: Get more out of new Customers

Our Second Order Push models identify the potential and preferences of your new customers immediately after their first purchase. This enables you to efficiently manage your communications and develop new customers into profitable existing customers with targeted offers.

Decographic: Identifying potential for a second purchase based on data

Transform your Data into valuable Predictions!

Get off to a flying Start with our Customer Experience Platform  

Do you want to use predictions to create an outstanding customer experience? Then take advantage of the entire Customer Experience Platform (CXP)! Predictive Analytics accesses the customer profiles in the CDP and predicts future customer behaviour. If you use other products of our CXP, such as Marketing Automation or Personalisation, these insights can be used directly to play personalised campaigns.

Infographic: Predictive analytics as part of the large customer experience platform

Data Science Service

Our Data Science Services offer customised support in the fields of analytics, machine learning (ML) and AI. We help you to reliably understand and evaluate your data in the CXP!

Your DYMATRIX experts for data science consulting
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We want our customers to have a unique holiday experience and to remember their time off with AIDA in a positive light. This also includes communication before, during and after the trip.

Olaf Oberländer

Senior Manager MyAIDA

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Our aim is to continuously improve our customer dialogue and every single step of our cross- and multimedia-based customer interaction. DYMATRIX enables us to do just that!

Sabine Usaty-Seewald

Head of alternative sales

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After an extensive search, we found DYMATRIX, a reliable and experienced partner that enables us to organise our omni-channel campaign management more effectively.

Dr. Sven Bernhardt

Chief Customer Officer

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In DYMATRIX, we have found a partner who understands us, is familiar with the energy sector, can establish optimised analytical CRM processes and also has a deep understanding of data and systems.

Dietmar Andres

Manager, Sales Planning, Analysis and Control Systems

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We are pleased to have found an experienced partner in DYMATRIX, with whom we were able to successfully implement the project – the development of a CRM system in which all communication channels are combined.

Beate Gerold

Member of the management

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We want our customers to be certain that they are the best-informed and best-connected social group in their region. DYMATRIX's Customer Experience Platform enables us to meet this demand.

Tanja Bertram

Head of B2C-Marketing Digital der MADSACK Marketing Solutions GmbH

Customer Success Stories

Find out how companies have improved their customer experiences and revenues with our predictive analytics. Read our success stories and discover how you can benefit from an optimised customer experience!

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Success Story Pro Idee

Find out how Pro-Idee has reached a new level of customer retention using data-driven marketing with DYMATRIX. Discover the success story of Pro-Idee & DYMATRIX!

Success Story Header - Heise Medien
Success Story Heise Medien

Heise Zeitschriften Verlag relies on DYMATRIX's predictive analytics. Find out how Heise optimises customer care with a CRM system that integrates all communication channels and makes marketing processes more efficient.

FAQ

Frequently Asked Questions About Predictive Analytics.

Predictive Analytics refers to the process of using statistical algorithms and machine learning to identify patterns in historical and current data and using those insights to make predictions about future events. This method is used in many industries, including marketing, finance, healthcare and more, to improve decision-making and minimise risk. 

Predictive Analytics begins with data collection from various sources, followed by data cleansing and preparation. Statistical models and machine learning techniques are then applied to identify patterns and trends in the data. These models are then used to make predictions about future events. The accuracy of these predictions depends on the quality and relevance of the data used, as well as the effectiveness of the model chosen.

DYMATRIX offers products that enable holistic omnichannel marketing and customer experience management. The Data Insights portfolio includes data analysis of historical customer data as well as predictive analysis for well-founded forecasts.

This is how the products differ in detail:

DYMATRIX Customer Analytics

  • Objective: The objective of Customer Analytics is to gain a deep understanding of customers. This includes collecting, analysing and interpreting data about the behaviour, preferences and needs of customers.
  • Functions: This tool focuses on analysing historical data to identify patterns and trends that provide insights into customer behaviour.
  • Application: The insights gained help companies optimise their marketing strategies, improve customer experience and increase customer loyalty.

DYMATRIX Predictive Analytics

  • Objective: The objective of Predictive Analytics is to predict future customer behaviour. This is based on the insights gained and the application of predictive analysis models.
  • Functions: This tool uses algorithms of machine learning and statistical models to predict future actions or decisions of customers.
  • Example of use: The predictions can be used for a variety of purposes, such as predicting customer churn, the next purchase, or identifying potentially lucrative customers.

In summary, the CXP product Customer Analytics is designed to collect and understand data. With this tool, you analyse what characterises your customers and how they behave. The CXP product Predictive Analytics aims to use these insights to predict future behaviour and events using AI. The two tools complement each other by providing data-driven insights into current customer behaviour and, building on this, predicting future actions.