Predictive Analytics

Your AI. Forward-thinking. Effective.

Write the next chapters in advance: DYMATRIX Predictive Analytics forecasts individual customer behavior and enables proactive campaign management. Whether it's next best offers, affinities, or customer value — everything is predicted by AI for a higher R

Visualisierung von KI-Prognosen zum Kundenverhalten

You plan – with foresight.

Icon: Sicher Planen

Confident. Plan.

Rely on valid forecasts for sales, demand, and customer development. Don't just rely on historical data and gut feelings.

Icon: Fokussiert Budgetiert

Focused. Budgeted.

Allocate your budget to target groups with the highest purchase probability or lowest bounce rate.

Icon: Passt Perfekt

Fits. Perfect.

Identify which customers are receptive to which offers. Retain them and increase the CLV with personalized content.

Icon: Frühzeitig Handeln

Act. Early.

Detect behavioral changes early and prevent churn. Reduce revenue risks through proactive measures.

You Communicate – Proactively.

Icon: Relevant Erreichen

Relevant. Reach.

Identify the most relevant products, times, and channels for the ideal customer approach.

Icon: Profil Schärfen

Profile. Refine.

Access enriched customer profiles and segment more accurately to deliver campaigns that drive better conversion rates.

Icon: Direkt Einsatzbereit

Direct. Ready to Use.

Purchase probability, churn, and CLV are automatically predicted. Use them immediately in campaigns without any analysis effort.

Icon: Proaktiv Automatisieren

Automate. Proactively.

Use forecasts as triggers and respond directly and automatically to expected events—instead of reacting belatedly to past events.

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AI in Marketing

Combination of all AI Benefits

Predictive AI provides insights—but that's just the beginning. Within DYMATRIX CXP, Agentic and Generative AI use these predictions to automatically control actions and creatively design content. Discover the full potential of this trio.

Predictive AI berechnet Prognosen wie CLV oder Churn Risiko
Predictive AI

Predictive AI calculates forecasts such as CLV or churn risk. It provides the insights that Agentic and Generative AI need.

Agentic AI automatisiert Kampagnenworkflows
Agentic AI

Predictive AI recognizes “what,” while agentic AI takes care of “how”: In CXP, it automates segmentation and dashboard creation.

Generative AI verwandelt Insights in die perfekte Botschaft
Generative AI

Generative AI transforms insights into the perfect message: personalized content in your brand voice with maximum relevance.

Customer Centricity

Predict Every Customer Decision

Who are your top customers? Predictive AI analyzes customer lifetime value, lifecycle, and affinities. This allows you to understand the true potential of each profile and invest your budget where it really pays off.
Automatische Klassifizierung von Kunden anhand ihres prognostizierten Umsatzpotenzials

Increase Customer Lifetime Value in a Targeted Manner

Customer lifetime value (CLV) predicts how valuable each customer relationship is – today and in the future. It is determined based on purchase history, behavior, and expected sales.

This allows you to plan budgets, segmentation, and campaigns in a value-oriented way, identify profitable customers, and manage service, offers, and communication according to their individual sales potential.

Thanks to a seamless transfer to DYMATRIX Marketing Automation, you can also continue to use the CLV scores.

Verlauf von Lead bis Bestandskunde mit Visualisierung der Churn-Vermeidung durch Retention.

Stay Visible in the Customer Lifecycle

Widgets allow you to control where recommendations are displayed: on the home page, product pages, in the app, newsletter, or shopping cart. Each widget can be customized individually: layout, position, number of tiles, and recommendation logic.

Predefined use cases such as “Matches shopping cart” or “Viewed together” help you get started faster.

Not sure what works best? Use A/B testing to test two sets of rules against each other in the same widget. This helps you understand users better and rely on the recommendation that performs best.

Erfassung von spezifischen Produkt- und Preisvorlieben zur Schärfung des Kundenprofils.

Appropriate Recommendations with Customer Preferences

Targeted communication, relevant content. Customer Preferences shows you what individual customers really prefer: product categories and brands, channels such as email or print, specific price levels, ideal shipping times, receptiveness to coupons, and the ideal coupon amount.

These affinities are stored as scores in the profile and are directly available for segmentation and personalization. This way, you only play highly relevant offers at the right moment.

Put an end to unnecessary discounts and low conversion rates: make your campaigns significantly more effective and profitable.

Automatische Klassifizierung von Kunden anhand ihres prognostizierten Umsatzpotenzials

Increase Customer Lifetime Value in a Targeted Manner

Customer lifetime value (CLV) predicts how valuable each customer relationship is – today and in the future. It is determined based on purchase history, behavior, and expected sales.

This allows you to plan budgets, segmentation, and campaigns in a value-oriented way, identify profitable customers, and manage service, offers, and communication according to their individual sales potential.

Thanks to a seamless transfer to DYMATRIX Marketing Automation, you can also continue to use the CLV scores.

Verlauf von Lead bis Bestandskunde mit Visualisierung der Churn-Vermeidung durch Retention.

Stay Visible in the Customer Lifecycle

Widgets allow you to control where recommendations are displayed: on the home page, product pages, in the app, newsletter, or shopping cart. Each widget can be customized individually: layout, position, number of tiles, and recommendation logic.

Predefined use cases such as “Matches shopping cart” or “Viewed together” help you get started faster.

Not sure what works best? Use A/B testing to test two sets of rules against each other in the same widget. This helps you understand users better and rely on the recommendation that performs best.

Erfassung von spezifischen Produkt- und Preisvorlieben zur Schärfung des Kundenprofils.

Appropriate Recommendations with Customer Preferences

Targeted communication, relevant content. Customer Preferences shows you what individual customers really prefer: product categories and brands, channels such as email or print, specific price levels, ideal shipping times, receptiveness to coupons, and the ideal coupon amount.

These affinities are stored as scores in the profile and are directly available for segmentation and personalization. This way, you only play highly relevant offers at the right moment.

Put an end to unnecessary discounts and low conversion rates: make your campaigns significantly more effective and profitable.

Personalized Recommendations

Every Offer Made to Fit

Predictive AI accurately calculates the next best offer or the ideal time for a second order push. Turn data into concrete purchasing impulses and automatically increase the value of your shopping cart.

Automatisierte Empfehlung des optimalen Angebots auf Basis von Daten und Prognosen
Next Best Offer: The Right Offer at the Right Time

Increase sales with Next Best Offer (NBO). Predictive analytics uses all data (including offline) for strategic recommendations across all channels, such as print and offline stores. This boosts conversion and shopping cart values.

DYMATRIX Personalization, on the other hand, focuses on current online behavior for real-time offers online and in apps—even for non-customers.

The ideal mix: predictive analytics for evidence-based strategy across all touchpoints, personalization for maximum speed…

Folge-Push-Nachricht, die abhängig von der Reaktion auf eine vorherige Nachricht ausgelöst wird
Second Order Push: Retain First-Time Buyers

Many new customers only buy once. Change that with Second Order Push: Identify people with high repurchase potential and increase your second purchase rate.

The forecasts can be used directly for automated follow-ups in DYMATRIX Marketing Automation.

This makes it easier to build relationships early on, promote follow-up purchases in a more targeted manner, and develop promising new customers into loyal existing customers.

Customer Relations

Maintain Every Customer Relationship

Acquisition is expensive, customer retention is smart. AI detects churn risks early so you can act proactively. In the event of inactivity, the reactivation forecast identifies the ideal moment for recovery.

Frühzeitige Erkennung abwanderungsgefährdeter Kunden mit gezielten Maßnahmen zur Kundenbindung
Churn Prevention

Churn prevention identifies churn risks at an early stage. AI analyzes purchasing patterns and behavioral signals such as tracking data to distinguish genuine inactivity from harmless purchasing breaks.

Combine the forecast with CLV to manage budgets smartly. Is it worth saving? Then use DYMATRIX Marketing Automation to launch targeted campaigns immediately to retain valuable customers and prevent revenue loss.

Gezielte Kampagnen zur erneuten Aktivierung inaktiver oder abgewanderter Kunden
Customer Reactivation

Not every reactivation is worthwhile. Customer Reactivation specifically identifies customers with genuine return potential.

AI calculates whether the investment will pay off and when the next purchase is due. This allows you to manage win-back campaigns at the optimal time, reduce wastage, and avoid unnecessary discounts. Invest your budget only where there are valuable opportunities.

Transform your Data into valuable Predictions!

Full-service provider

Your Success. Thought Out Holistically.

DYMATRIX guides you not only with software, but also with comprehensive expertise in strategy, implementation and ongoing service. This ensures that you take full advantage of our Customer Experience Platform.

Detailgrafik der DYMATRIX Customer Experience Platform (CXP)
A Platform That Makes Your Work Easier

Intelligent platform that centrally bundles your data, channels, and campaigns — for seamless customer experiences.

DYMATRIX Strategie-Experten für die Entwicklung datengetriebener Marketing-Konzepte.
Experts Who Think Along for You

Strategic consulting for the ideal concept creation and implementation of your customer journeys and marketing activities.

DYMATRIX Experten-Team für die persönliche Begleitung der technischen Implementierung.
Experience That Accelerates Your Start

Initial support from data connection to first delivery through careful preparation and integration into existing systems.

DYMATRIX Customer Success Team für operativen Support im laufenden Betrieb.
A Team That Supports You

Ongoing support, maintenance and optimization to ensure your customer experience platform continues to unlock its potential.

Success Story Header - AIDA

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

Success Story Header - UNIQA

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

Success Story Header - Breuninger

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

Success Story Header - eprimo

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

Success Story Header - Heise Medien

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

Success Story Header - MADSACK Mediengruppe

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!

Success Story Header - Pro Idee
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

Predictive Analytics refers to the process of using statistical algorithms and machine learning to identify patterns in historical and current data 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 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.

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 predicting future actions.

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