Honors Program
Date of this Version
5-2024
Document Type
Thesis
Citation
Gove, C., Niebur, C., Cook, B., Ninh, V., & Jain, A. 2024. Market Share Predictor. Undergraduate Honors Thesis. University of Nebraska-Lincoln.
Abstract
ALLO is a Lincoln-based, all-fiber optic internet, TV, and phone company. The company provides services to business, residential, and governmental customers in Nebraska, Colorado, and Arizona, and is swiftly expanding its footprint in these states.
With this growth expansion comes a desire from the business to better predict market share in these new locations to effectively allocate resources and maximize business performance. In the past, ALLO has partnered with the Nelnet data science team to develop a subscriber propensity model that is part of their market evaluation process. ALLO gave the Design Studio team an opportunity to build an improved model in house and customize it toward ALLO’s specific needs in order to increase employee understanding of the evaluation process and the markets they intend to enter.
To address this, the Design Studio team created the vision statement: “Help ALLO evaluate market competition through adjusting terminal market share prediction with competitive landscape data in order to optimize business performance.” The solution included a combination of recreating Nelnet’s previous model for ALLO to manage and adding new competitor data to the model to make it a more accurate representation of the markets being analyzed. This solution will allow ALLO to continue their expansion into new areas with a deeper understanding of vital market information and competing products in the area. With this, ALLO can be more confident they will see a return on the investment of their time and resources.
Comments
Copyright Carly Gove, Cole Niebur, Ben Cook, Viet Ninh, and Aditya Jain 2024.