Traditional segmentation strategies rely on clustering based on aggregated characteristics. One of the risks of this approach is that the difference between segments can be minimal and not very descriptive: by aggregating data, we represent users as a combination of disconnected features.
- Discover how you can employ user behaviour as a basis for segmentation
- Adapt algorithms from DNA sequencing to analyze how customers use your product
- Leverage sequence mining and clustering to provide more insight about clients
- Predict the occurrence of desirable and undesirable usage loops based on sequences of actions