Welcome to the Location Data Blog!

Mobile app development and maintenance is a resource intensive and time-consuming process – which is why the primary objective of publishers is maximising the revenue they generate from their apps. One of these is data monetization.

Data monetization, however, is not what usually comes to mind first. Since several successful platforms like Spotify, Tinder, and Netflix use subscriptions, one might be inclined to believe this is the most common monetization strategy. However, out of the $111 billion generated in mobile app revenue in 2020, subscription-based apps on both Apple’s App Store and Google Play collectively earned only $11.7 billion. This statistic offers a key insight: subscription models capture the imagination but only account for approximately 10% of all revenue generated from apps. Therefore, it is important to explore alternative models for generating revenue. 

Cities worldwide are dealing with rapid urbanization, changing travel patterns, and most recently the aftermath of a global pandemic. As cities sprawl outwards to form low-density localities, it is difficult and expensive to serve these suburbs. Transit systems were also one of the worst-hit sectors by Covid-19, and post-pandemic recovery has been complicated due to remote and hybrid working. 

From the onset, Quadrant’s corporate ethos has been predicated on the principle of transparency. As proponents of the laws and principles enshrined in data-privacy regulations, we ethically procure and process data to make sure we are operating within the boundaries established by these regulations. 

Early on, our Consent Management Platform (QCMP) was registered as an IAB TCF-compliant CMP – which made us a valuable partner for publishers who wanted to monetize their apps by supplying consented and anonymized user data. 

Recently, we became a IAB TCF’s v2.0 registered vendor - an accreditation wider than just QCMP, assuring our customers that we collect, store, and process data in accordance with the legal requirements of the GDPR. 

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.