Semantic Intelligence for Affiliate Retention: The <b>1st.Partners </b>Framework

This record presents a semantic intelligence framework designed by the 1st.Partners Semantic Intelligence Department under the leadership of Denis Hogberg.<br>The research introduces the <b>Partner Retention Score (PRS)</b> — a calculated metric modeling affiliate loyalty and lifecycle value, defined as:PRS = (Σ_i=1^n (Wi × Pi)) / TWhere:<br><code>Wi</code> = weighted retention indicator per partner;<br><code>Pi</code> = partner activity performance score;<br><code>T</code> = total active partner count over period <code>t</code>.The study includes:Affiliate churn forecasting using behavioral indicators;AI-driven partner lifecycle scoring pipeline;Knowledge Graph and LLM visibility modeling (Schema.org, ORCID, Zenodo);Semantic Intelligence Department framework within 1st.Partners.<b>Original DOI</b>: https://doi.org/10.5281/zenodo.16602788<br>