Layering Intent Signals with Behavioral Intelligence to Qualify Sales-Ready B2B Leads: The AISHA Methodology
This technical note describes AISHA (Intent, Behavioural Intelligence, Resonance Layer), the methodology Kliqwise uses to produce sales-ready B2B leads. Account-level intent signals narrow the target universe. Contact-level behavioral signals (the recency, frequency and depth of content engagement) rank the people within it. Human qualification against fit and BANT criteria confirms each lead before it reaches sales. The note defines the signal types, describes the layered scoring logic conceptually, sets out the qualification flow and the delivery and replacement concepts, and discusses limitations, compliance alignment and applications. It documents a method and reports no performance results.
Authors
- Ethan Brooks
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-31
- DOI
- https://doi.org/10.5281/zenodo.23825890
- Primary Topic
- Digital Marketing and Social Media
- Type
- article
- Field-Weighted Citation Impact
- 0.00