
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.
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.
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.
Understand what your customers will demand tomorrow and focus your resources on the most promising measures.
Focus your resources on the most promising measures and minimise wastage to efficiently achieve your marketing goals.
Identify the most valuable contacts and predict the optimal time and channel for addressing them to increase your conversion rate.
Automatically keep an eye on the customer lifecycle of your customers and take appropriate, personalised action at an early stage in each phase.
Whether it's personalised recommendations or perfectly timed messaging thanks to precise forecasts – your customers feel understood and valued.
Identify opportunities and risks before others do with methods like affinity modelling, and respond faster to behavioural changes.
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.
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.
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.
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.
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.
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.
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!
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
DYMATRIX Predictive Analytics
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.