Detecting VPN and proxy traffic on signup forms
A subscription service noticed its free trial was being claimed dozens of times by the same person cycling through VPN exit nodes, and started checking for that pattern directly.
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Use cases (page 5)
Real problems solved with location data: fraud checks, delivery zones, store finders, local times and analytics.
Verifying a delivery address before it ships
A furniture retailer cut its failed-delivery rate by checking every address against a geocoder before a truck was ever scheduled, not after it showed up to an empty lot.
Building an elevation profile for a cycling app
A cycling app wanted to show riders exactly how much climbing a route involved before they started, not as an estimate but as a real elevation chart.
Routing support tickets by time zone
A help desk stopped routing tickets by billing country and started routing them by the customer's actual current time, cutting down on replies sent while a customer was asleep.
Personalizing checkout by country and currency
An online retailer stopped asking shoppers to pick their own country at checkout and started detecting it automatically from the connection making the request.
Turning a spreadsheet of addresses into a sales territory map
A sales operations team had eleven thousand customer addresses in a spreadsheet and no way to see them as a map, until a single batch geocoding run changed that.
Showing the right local time in a multi-region support queue
A software company stopped guessing what time it was for a customer and started reading it directly off the support ticket, using nothing but the customer's IP address.
Building a store finder that ranks by distance
A housewares chain replaced its alphabetical store list with a finder that ranks locations by actual distance from wherever a shopper is standing.
Drawing delivery zones around a warehouse
A regional grocer needed to know exactly which neighborhoods its new warehouse could serve profitably, so it turned every order address into a distance from the loading dock.
Flagging risky signups with IP-based fraud checks
A lending platform started checking the IP address behind every signup, catching hosting-provider traffic and shared fraud ranges before an application ever reached underwriting.
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