Splitter Aggregator

Splitter Aggregator ingests multiple numeric streams (traffic, sales, events) and assigns values to predefined segments using rule-based criteria. It delivers a unified view of cross-source performance through per-segment totals and optional percentages. This supports SEO teams, product analysts, and marketing operations requiring consistent segment reporting without manual data reconciliation.
Conceptually, the tool collects aligned time-series data, applies split_rules to map each value to a segment, aggregates values across sources, and optionally normalizes or weights sources to reflect relative importance. Outputs include an array of segments with totals and, when requested, percentages of the total. Advanced users can predefine weights, implement hierarchical splits, or export to CSV/JSON for dashboards.
Use cases include comparing channel performance by device across sources, producing a single metric per geographic region, or creating a cross-source content performance report for SEO. The differentiator is explicit, rule-driven segmentation across multiple streams with deterministic handling of missing data and time alignment.
Core features include multi-source ingestion; configurable split_rules; time-range alignment; per-segment totals; optional percentages; export formats; handling of missing data; validation and error codes.