What problem does it solve?
It turns owned lists of customers, leads, accounts, or other identifiers into matched audiences, expanded reach sets, lookalike signal pools, and scored rankings without manual list wrangling.
Core Features & Use Cases
- Resolve-only matching: Turn an owned list into a tight matched roster of entity IDs.
- Wide expansion: Resolve every plausible match, including co-residents for address-based lists, to maximize reach.
- Lookalike profiling: Learn the durable traits and intent signals that define a seed list so the signals can be tuned into a future audience.
- Overlay scoring: Score and rank a list against chosen signals for lead prioritization or intent-based sorting.
- Use Case: A marketer uploads a customer CSV, chooses whether to match, expand, profile, or score it, and receives a roster or signal pool ready for downstream activation or analysis.
Quick Start
Give the skill your owned list and tell it whether you want a tight match, the widest expansion, lookalike signals, or ranked scoring.
