Conventional panel-based reports are limited, fragmented and not representative of the evolving realities of current broadband consumption trends.
Mobilewalla Market Flow’s comprehensive set of granular insights based on flow share and market share data enables broadband providers to accurately assess market share, flow share, precise market movements, and competitive threats in an ever-changing digital world.
Market Flow can help you:
When analyzing market and flow share, having detailed insights is crucial. Understanding the finer details of broadband consumption and subscriber behavior can make the difference when acquiring and retaining customers. Through Market Flow, you will have access to the data you need to support operational planning and optimize marketing ROI for both residential and business segments.
Distinguish different broadband connection subtypes - Fixed Wireless Access (FWA), Fixed Broadband (FBB), etc., to precisely analyze competition and changing consumer dynamics.
Receive accurate carrier usage insights on commercial businesses and how it is changing in specific areas to optimize business broadband offerings for establishments.
Identify detailed nuanced information about each household and its members, and discover predictive features to understand the propensity of acquisition, churn, retention and ARPU expansion.
Enrich your existing internal customer profiles and acquire data about your competitor's customers to improve the results of your predictive modeling efforts and increase your machine learning efficiency.
Ability to classify devices as either “true” cellular or FWA
A data set which decomposes a geography into households and provides granular household characteristics including:
Devices through which telecom services are consumed
Time series recording of carrier connection to each device
The type of each connection
Ability to identify FBB and FWA carriers across businesses, powered by:
Dynamic business outline shaping, yielding accurate identification
Multi-carrier identification (e.g., Starbucks using FWA inside a Target using FBB)
Insights from Household to Zip to Census Block to City to State to Country
Signals as to whether there has been a relocation at both the household and individual level
Insights for deeper understanding of subscribers and their characteristics