Our predictive models use variable selection algorithms and best-practices, cross-validation methods to leap through the noise in big data, identify important variables, and provide accurate predictions of market results based on validation data. For those of you who are not familiar with the use of cross-validation, it is a large step forward in developing reliable and usable forecasts and projections.
When preferences for new products and services are not easily measured, we combine customer choice models, based on experimentally designed survey experiments, combining those absent or hidden preferences with structured and unstructured behavioral and market data. Using customer choice modeling, we provide support for combining choice modeling and predictive analytics.
The mixture of survey-based customer choice data with predictive modeling of marketplace and online behaviors allows new positioning and new messaging to be established, new targeting to be identified, and segmentation attributes to be mined, in order to improve response rates, increase customer loyalty, and develop revenue and profits
For more than a decade, analytics and statistical modeling has been the core of targeted database marketing, and many such modeling methods are developed. Consider contacting our Predictive Analytics Team to compare services to those you are already employing. We have a magazine of techniques that extend far beyond the typical linear or logistic regression models.
• Bayesian hierarchical modeling.
• Machine Learning.
• Big Data Analytics.
• Regression Method.
• Support Vector networks.
• Factor Analysis.
• Cluster Analysis.
• Net Lift Models.
• Marketing Mix Modeling.
• Data Visualization.
• Social Networking Models.
• R-Language Modeling.
Kreara serve clients of all scales and geographies. We have extensively worked in the US and European markets with specific focus on analytics and application solutions for Pharmaceutical, Financial and Retail Sectors. Recently we have also started to work with the government, helping them to analyse public data and visualise it in a very user friendly manner. We try and treat each of our clients as our only customer and work with them very closely to understand and cater to their requirements.