Data at Work

Most publishers monetize their apps through one-off purchases, subscriptions, and in-app advertisements. However, subscription-based apps only account for 10.5% of the total revenue, and in-app advertising is disruptive to a degree that it directly causes churn. There is a third, better way of generating revenue from apps: data monetization. It is a new method and publishers often come us with a long list of questions. Here, we answer the most common ones.

Businesses catering to a community need to keep up with changes in the region's population, demographics, and cultural traits to remain relevant. In addition, urban spaces need to be constantly redeveloped to accommodate changing movement patterns. For example, real estate companies need movement data to discern the residential needs in growing neighborhoods. Public transport authorities need to monitor travel patterns to assess demand and expand transit services to underserved areas. The analysis of mobile location data can provide a clear image of human mobility, and changes in public interaction with businesses and government facilities.

To increase operational efficiency and maintain a profitable business model, businesses must gauge the performance of various processes and identify focal points that require change and strategic innovation. Business leaders must also develop a firm understanding of consumers and prospects, at scale, so that they can create effective marketing campaigns with broad appeal. Mobile location data is a powerful tool that helps companies achieve these objectives across business verticals by providing meaningful, actionable insights.   

Businesses that want to thrive must improve their performance across different functions to retain and increase market share. Nowadays, companies are tapping into a powerful form of business intelligence to achieve this goal: mobile location data. As a leading provider of geospatial information, Quadrant supplies data to customers that allows them to execute various analyses like measuring marketing ROI, site selection for expansion, benchmarking against competitors, and predicting performance. These analyses facilitate the optimisation of different operations which increases revenue and decreases costs.

Point-of-Interest (POI) data is the foundation for digital maps that enable on-demand service delivery models in navigation, logistics, and other industries. POI data is instrumental for businesses to dynamically match consumers with the right services and places with relevant context. The application and analysis of POI data should be a top priority for all location-based businesses to improve operational efficiency, save costs, and stay ahead of competition.