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Our world is more connected than ever. Our smartphone has become the most important device for surfing the Internet, checking the latest news and shopping online. In contrast, we also live in a world where we watch TV, listen to the Radio and cut out coupons from newspapers and flyers. Outside, we pass by Billboards and see screens with advertisements in elevators and supermarkets on a daily basis. This world seems far removed from the online world. It seems a challenge to bridge the gap between online and offline consumer behavior. But with the right tools and the right data, this is easier than you think. Mobile Location data connects the online and offline world.
Mobile traffic data, also known as movement data, foot traffic data, or mobile location data, refers to the insights obtained from tracking the location of mobile devices. It helps businesses analyze consumer foot traffic data, catchment area foot traffic data, and more, allowing them to understand audience travel patterns and visit behavior.
Spotzi offers mobile location data analytics that helps businesses assess their points of interest (POI) foot traffic data and optimize their catchment area foot traffic data. Spotzi's dashboards simplify data analysis, saving time and providing real-time insights into visitor behavior and foot traffic trends.
Mobile traffic data can be used in various business cases, such as:
The foot traffic data API from Spotzi allows businesses to access real-time mobile traffic insights, such as identifying the most visited mobile websites in Canada, tracking real-time traffic data, and receiving up-to-date traffic report mobile data for their locations.
Spotzi's mobile traffic data allows businesses to gain valuable insights into consumer behavior, such as understanding which areas see the most traffic, measuring visitor behavior, and predicting foot traffic trends. This helps improve store location strategy and marketing campaigns.
Retailers can use foot traffic analysis to gain insights into store visits, track foot traffic trends, and analyze consumer foot traffic data. With Spotzi's tools, retailers can understand how visitors interact with their stores, optimize catchment area foot traffic data, and boost conversions through targeted marketing.
Foot traffic attribution is a method used to measure the effect of online marketing on offline behavior, such as store visits. Using foot traffic data, businesses can track how many people visited their store after engaging with online content like ads or websites. Spotzi's mobile location data can help track this cross-channel data.
Geofencing uses location-based technology to trigger actions, such as delivering ads to users within a specific area. By using Spotzi's mobile geofencing ads capabilities, businesses can retarget users based on their real-world movements, increasing brand recall and improving foot traffic attribution.
Spotzi offers powerful mobile location data analytics tools, such as the mobile traffic map, which allow businesses to visualize foot traffic data by location. Businesses can also create custom reports to compare traffic trends across different regions and measure the effectiveness of points of interest foot traffic data.
Spotzi's foot traffic prediction models use advanced data analytics and AI-driven technologies to make highly accurate forecasts. By combining real-time mobile location data with historical trends, Spotzi helps businesses make informed decisions about site selection, marketing campaigns, and resource allocation.
By analyzing foot traffic data, businesses can assess the most visited areas, understand catchment area foot traffic data, and identify points of interest with high visitor traffic. This helps businesses optimize site selection, target the right audience, and adjust their marketing strategy to increase footfall and conversions.
Spotzi offers premium mobile location data and foot traffic data through their dashboards, but businesses seeking free foot traffic data can access basic insights, such as free traffic data and reports on real-time traffic data free. Advanced data and detailed analytics are available through subscription plans.
The most efficient way to measure store visits is through foot traffic attribution and retail foot traffic data. Spotzi offers tools for analyzing store visit attribution, providing insights into how many people visited your store after interacting with digital ads or other online campaigns.
We are able to analyze any location in the world with the help of smartphones that anonymously share their location when they pass by a predefined area (geofence). The process for collecting location data involves several steps, including anonymization. Users consent to the sharing of their location data by logging in when prompted in an app or browser. SDKs then collect and transmit information about a user's location, including geographic coordinates and time spent. The location data is then cleansed, anonymized and merged into a database to create specific consumer profiles.
The processing of the data is also crucial in order to guarantee the privacy of the user. For example, we anonymize the locations of users by linking them to a zip code or by making the residential address inaccurate so that it cannot be traced to a specific address and therefore person. For retargeting purposes device IDs will be pushed to publishers like Facebook and Google DV360. These device IDs will never be provided to our clients. There is a one-to-one connection between our database and the publisher platforms without any interaction needed by our clients. In addition, we work continuously to maintain a watertight strategy on how personal data is handled, processed and used for campaigns - in line with the strictest privacy regulations. Furthermore, we have an action plan for deleting unused, irrelevant and outdated user data. Internal training and procedures also play an important role in regulatory compliance. All contracts of vendors and external suppliers of user data are audited to ensure regulatory compliance.
