JUPEL provides you with the foundations for efficient data-driven decision-making and value-creating measures. With our analytical tools we extract insights from your data, enabling you to make smarter, up-to-date and fact-based decisions. We help you to increase the intelligence in your Business intelligence work. Our analytics solutions can be integrated into different CRM and business systems. Our solutions generate value creation in several different areas. Here are just a few examples.

Customer Insights
Customer insights involve understanding and interpreting customer data, behaviours and feedback that can be used for product development and improved customer relations. By getting to know your customers, you’ll create the best prerequisites for establishing long-term and profitable customer relations.

We enhance your customer/user data with additional data from population databases and thereby obtain powerful data to extract detailed, complete and accurate information for productive measures .

Using various types of data analysis we can for example generate

  • detailed information about your customer population.
  • identification of your key customers and their characteristics.
  • identification of new potential customers and markets and effective recruitment channels for new customers.
  • insights in terms of minimising customer loss by identifying which customers are more likely to leave and why (churn analysis).
  • insights for optimised product/service offerings and development of brand new products.
  • insights for customised communication and targeted marketing to specific segments of customers. Customer satisfaction and loyalty increase as each individual customer provides relevant information.
  • insights for effective help centre construction or support information.

Predictive Models
We build predictive models for operational process improvements using modern machine learning methods. This includes demand/sales prediction, predicting outcomes of various supply alternatives or designing contact areas with customers such as website, email and social media etc. We also build models to identify so-called “triggers” – events that precede a specific purchase or customer behaviour.

Analyses for Authorities
For government agencies, our analyses generate insights that enable customisation and development of the agency’s activities. For example, charting users and non-users of public services allows the agency to target different groups and design activities to ensure that the agency fulfils their mission and goals to a higher extent.

Optimised Marketing
With marketing mix modelling, we quantify the effects of different marketing strategies. We analyse how much each marketing effort contributes to sales and market share and how you can best devise an effective marketing strategy regarding ROI.

Customer Experience Optimisation
Customer experience is based on the sum of all the interactions the customer has with your brand. Since the customer has the power to choose, optimisation of the customer experience is crucial. We analyse your customer data to find out how your customers act during a buying process; are they satisfied, do they cancel their purchases, unsubscribe from newsletters, how do they behave during their contacts with customer service? From social media, we can obtain additional information about how customers and others perceive your brand. Our analytics solutions provides you with the tools for adapting and improving the customer experience.

Revenue Management
Revenue optimisation is about selling the right product, to the right customer, at the right time, for the right price and optimally composed. Revenue optimisation is mainly used in the airline, hotel and car rental industries, but can also be used with advantage in many other industries. We work with models for dynamic pricing by predicting, among other things, supply and demand and adjusting prices accordingly. There are many variables to take into account in dynamic pricing; competitors’ prices, stock status, where customers live, the time of day and customer history are just a few examples.