Elder Research helped a large CPG client predict lifetime value of customers so they could identify those most likely to make purchases in the future.

Elder research integrated multiple data sources to enable the client’s marketing team to analyze the effectiveness and ROI of historical marketing events.

Elder Research helped a leading retail company for CPG model, monitor, and optimize price elasticity for their products.

Elder Research analyzed the effectiveness of various types of paid search ads and also determine the relative value of Google paid search keywords.

Elder Research developed a predictive model that identified 20-30% more patients with a high likelihood of becoming a donor to a health foundation.

Elder Research created an automated evaluation of the impact a printer supplies loyalty program had on customer lifetime value, retention, and market share.

Elder Research applied state-of-the-art text analytics to understand customer sentiment from insurance customer survey textual data.

Elder Research text mined survey data and provided exploratory and predictive analysis to identify insights and trends that affected conference attendance. This helped guide the client’s conference content programming and global conference planning.

Elder Research developed a user segmentation model based on SolidWorks’ product usage logs, helping to better understand and serve their users.

Elder Research partnered with a bank to predict account closures, prioritize marketing programs, and understand precursors to customer churn.