A Multi-Channel Sales Optimization Model for Expanding Broadband Access in Emerging Urban Markets

• Author(s): Ololade Shukrah Abass ; Oluwatosin Balogun ; Paul Uche Didi
• Paper ID: 1710063
• Page: 191-210
• Published Date: 30-09-2020
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 4 Issue 3 September-2020

Abstract

Expanding broadband access in emerging urban markets presents a strategic opportunity to bridge the digital divide, enhance economic participation, and improve quality of life. However, infrastructure limitations, fragmented demand, and inefficient sales strategies often hinder broadband penetration in these regions. This paper proposes a Multi-Channel Sales Optimization Model (MCSOM) that integrates data-driven decision-making, predictive analytics, and channel diversification to maximize broadband adoption and service delivery. The model leverages both direct and indirect sales pathways retail outlets, digital platforms, agent networks, and community-based marketing while employing geo-targeted analytics to prioritize underserved areas with high growth potential. By aligning channel performance metrics with localized demand patterns, the MCSOM ensures optimized resource allocation, reduced customer acquisition costs, and enhanced service reach. The model incorporates customer segmentation using demographic, behavioral, and psychographic data, enabling customized engagement strategies that increase conversion rates across touchpoints. Additionally, dynamic pricing and promotional tactics are embedded within the framework to adapt to market sensitivities and competitor actions in real time. A key innovation of the model is the integration of feedback loops from customer relationship management (CRM) systems to iteratively improve sales strategies and service delivery. The proposed framework was validated through a simulated deployment in a fast-growing urban corridor in West Africa, demonstrating a projected 35% increase in broadband adoption within 12 months and a 20% reduction in churn. This study underscores the critical role of agile, multi-channel strategies in scaling broadband infrastructure and services across emerging markets. It contributes to the discourse on inclusive digital economies by offering a replicable model that telecom companies, policymakers, and urban planners can adapt to foster connectivity and social equity. The findings reinforce that expanding broadband access is not solely a technological challenge but also a strategic sales and market penetration endeavor that benefits from data science, behavioral insights, and ecosystem collaboration. Future work will explore real-world implementation across multiple countries and the integration of AI-powered automation in sales operations.

Keywords

Multi-Channel Sales, Broadband Access, Emerging Urban Markets, Sales Optimization, Digital Inclusion, Customer Segmentation, Data-Driven Strategy, Telecom Expansion, Predictive Analytics, CRM Integration.

Citations

IRE Journals:
Ololade Shukrah Abass , Oluwatosin Balogun , Paul Uche Didi "A Multi-Channel Sales Optimization Model for Expanding Broadband Access in Emerging Urban Markets" Iconic Research And Engineering Journals Volume 4 Issue 3 2020 Page 191-210

IEEE:
Ololade Shukrah Abass , Oluwatosin Balogun , Paul Uche Didi "A Multi-Channel Sales Optimization Model for Expanding Broadband Access in Emerging Urban Markets" Iconic Research And Engineering Journals, 4(3)