Segmentation and Factor Analysis
The customer base is grouped into meaningful segments based on behavioral and attitudinal similarities.
Data Analytics
Analysis simple enough for executives, deep enough to shift strategy.
Raw survey data is turned into segmentation, forecasting and behavioral analysis that decision-makers can use directly.
Regression and Correlation
Statistical measurement of which variables drive outcomes and how strongly they relate.
Forecasting and Trend Tracking
Change is tracked over time, with data-driven projections for the period ahead.
Customer Experience and NPS Analysis
Satisfaction and advocacy are tracked to identify the key drivers of the experience.
Price Sensitivity and Preference Modeling
Price and feature preferences are modeled to define the right positioning.
Regional and Demographic Breakdowns
Findings are broken down by region, age and income to inform local strategies.
Methodology
From data to insight in three steps.
Data collection and cleaning
Survey and fieldwork data are merged; missing or inconsistent responses are removed.
Modeling and analysis
The data is interpreted through segmentation, regression and forecasting models.
Reporting and delivery
Findings are delivered as an executive presentation and dashboard.