Achieving broadband equity in underserved communities requires more than infrastructure deployment; it necessitates an integrated approach that aligns policy frameworks with evidence-based market strategies. This paper proposes a Policy-Research Integration Model (PRIM) designed to expand broadband access through data-governed sales outreach in marginalized and emerging urban markets. The model bridges the gap between public policy objectives and private-sector sales initiatives by embedding policy-aligned criteria into dynamic customer targeting, pricing strategies, and outreach programs. PRIM utilizes real-time data analytics, geospatial intelligence, and socio-economic indicators to identify connectivity deserts, enabling precision-targeted sales interventions that prioritize areas of highest need. The model further incorporates feedback mechanisms between governmental broadband policies and telecom sales performance metrics, fostering iterative improvements in outreach efficiency and equity outcomes. By facilitating collaboration between telecom firms, regulators, and data analysts, PRIM creates a feedback-rich ecosystem that supports adaptive policy implementation and inclusive service expansion. A pilot simulation conducted in three high-density urban zones in sub-Saharan Africa demonstrated that PRIM-driven campaigns resulted in a 40% increase in service uptake in underserved wards, while maintaining cost-efficiency and regulatory compliance. The study reveals that broadband equity is achievable when market expansion strategies are informed by publicly available data, local government development plans, and community-specific behavioral profiles. This model offers actionable insights for regulators, policymakers, and telecom providers striving to close the digital divide in an economically and socially sustainable manner. Furthermore, PRIM demonstrates how research and policy can be jointly mobilized to create equitable access pathways by embedding transparency, accountability, and inclusivity into sales operations. Future extensions of the model will explore AI-enhanced decision support systems, cloud-based monitoring dashboards, and decentralized data-sharing protocols to further institutionalize the policy-research-sales nexus in broadband development.