Observe demand while it is forming
Sales data is authoritative but backward-looking. Before a transaction occurs, customers search, research, compare, and revisit options. Those actions create a measurable pre-demand layer.
BGraph organizes that layer into category and journey signals that can be tested against historical outcomes and incorporated into existing models.
- Search and research intensity
- Audience growth and repeat behavior
- Product comparison activity
- Geographic or category movement
Complement the forecast you already trust
Behavioral signals do not replace transactional history. They add context when historical patterns are incomplete, markets change quickly, or a new category has limited sales data.
- Nowcasting fast-moving categories
- New product and market launches
- Seasonal planning and anomaly detection
- Regional demand comparison
Build a stable signal definition
BGraph works with teams to define the behavioral universe, aggregation windows, and refresh cadence. Candidate signals can be backtested before becoming operational inputs.
The resulting features remain interpretable: planners can see whether a forecast moved because of broader research activity, a specific topic, or a shift in competitive consideration.