For businesses of various scales across a range of industries, the fundamental goal stays the same: to increase profit while keeping costs to a minimum. Location data, already utilized by marketing teams and agencies, can help increase the ROI when it comes to marketing. 

Location data has proven beneficial in solving various business and social problems. Researchers and analytics firms leverage location intelligence to identify target audiences for businesses, measure ROI of operational spend, assess competition, and address grave issues like climate change, social inequalities, and human migration. In reality, most business models in delivery, transportation, navigation, healthcare, and real estate depend on location data for day-to-day operations.

Offline or online, advertising is all about getting the right message out to the right people at the right time, and mobile location data can be instrumental to your goals.

Marketing agencies and teams across various sectors are recognizing the value of mobile location data. They are using it to build targeted campaigns, gauge competition, measure campaign performance, and optimize spending. Mobile location data can help businesses maximize ROI on their marketing and advertising spending, especially in offline campaigns that are harder to measure than digital efforts.

Transportation companies need location-based intelligence to gauge demand, support operations, adapt to changing public requirements, and ensure safety. Reliable and accurate mobile location data is key to studying mobility trends that can reveal actionable insights for the betterment of infrastructure and applications in supply chain, ride sharing, public transport, traffic management, and other use cases.

Companies also need location data to assess potential for usage in growing urban spaces to improve availability and return-on-investment. More recently, due to the Covid-19 pandemic, people’s movement patterns have changed drastically. The new normal with social distancing requires tweaking existing forms of transportation and related services. All these make mobile location datasets and corresponding mobility analysis more valuable than ever, both in the private and public sector.

The location data industry is using multiple sources of data with a varying degree of quality. This means suppliers often have a significant amount of overlapping records. While this does not impact quality or validity of the data, it poses a challenge for buyers who need unique values for their analyses.

Most off-the-shelf vendors leave this unaddressed as it makes their data volumes appear larger. However, when buyers prepare the data for analysis by removing overlaps, they often see a significant drop in overall volumes.