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.

Whether you are an agency or a business with an established in-house marketing team, your goal is maximising ROI on your marketing and advertising spending.  

Mobile location data can help achieve your KPIs, especially in offline marketing. Using area-based insights you can make profitable marketing investments to improve brand visibility, gain new customers, or increase visits to a physical store. 

Companies in the location data industry like to highlight the numerous uses and benefits of their data. However, the topic of how to select a data vendor remains largely undiscussed. As the old adage goes, ‘garbage in, garbage out’: low quality data leads to unsubstantiated, weak insights, and ultimately to wrong decisions. To ensure that the data you acquire helps you solve your business challenges, you need to evaluate data quality.