Displayr can form segments with any type of data including numeric, categorical, ranking, MaxDiff, Conjoint, and text. ​ Missing data isn’t even a problem. By using the best-practice MAR assumption, Display automatically deals with missing data, which is always a major headache in other software.
Form segments using cluster analysis or latent class analysis (latent class analysis is the best for most problems). Build predictive models using all the machine learning tools, from discriminant analysis through to random forest.
Rapidly create, profile, and compare alternative segments, quickly iterating to the best segmentation for your market.​ Tables specifically designed for comparing different segmentations​. Experiment with inputs, number of segments, segment names.​ Use crosstabs, bubble charts, and other visualizations to compare segments.
Automatically update and report on segments. Build your report (or dashboard) once. Then just apply a filter to update it entirely for the next segment. Export to PowerPoint or share as interactive dashboards.
Automate manual tasks and create re-usable analysis and reports.
DIY advanced analysis and visualizations.
Manipulate your data with a couple of clicks.
