When executing marketing campaigns, it’s crucial that you reach only those customers who can be convinced by the marketing measure to make a purchase, for example. With intelligent processes, such as uplift modeling, we can help you identify customers showing already a high willingness to buy or those who could be put off from making the purchase by contacting them. These methods help you significantly increase the effectiveness and efficiency of your marketing campaign.
Customer analytics and business intelligence along the customer journey
Customer analytics and business intelligence are a powerful combination that takes the journey of your customers to the next level. Regularly calculated KPIs help you gain a clear understanding of the performance of your processes, campaigns, etc. Business intelligence allows you to analyze your customers’ behavior and recognize trends early on, and to visualize them. Customer Analytics utilizes modern data analysis methods at customer touchpoints. One entry point could be to verify your personae by applying data analyses, for example. Moreover, additional characteristics and correlations between customer groups can be revealed and analyzed. Often, predictive analytics techniques and data-driven field experiments play a crucial role in this process.
Learn more in our Customer Analytics guide or our fact sheet.
KPI-driven performance measurements are based on data from campaigns, sales, and click streams which are prepared and visualized for specific user groups. We can show you how to break down and track the success of campaigns in detail, by analyzing trends over time and looking at different channels and segments. We assist you to then apply the outcomes directly to operating processes, with the result that such continuous improvements allow you to achieve a high level of efficiency in addressing the customer in a personalized way.