Recent Posts

Building your own geofence solution seems easy enough: find the point of interest you want to geofence, find the latitude and longitude point it corresponds to, identify the precise boundaries in the real world the fence corresponds to, make sure the location sensors in your app are tuned just right.. Okay, maybe not so easy. Despite the complexities involved in a project that bridges the digital and physical worlds, some may insist on taking the geofence building process in-house.

Super Bowl LI’s hype seems to have died with the last confetti horn of the Patriots' victory parade, but at Skyhook, we’re wondering: are brands’ multi-million dollar ad investments having an impact on in-store foot traffic? In our previous post, we looked at brand affinities for both Patriots and Falcons fan territories, seeing who won over fans before the game. Now that some time has passed and the President’s Day sales circuit is over, Skyhook is taking another look at how brand foot traffic performed across the nation after the airing of Super Bowl ads.

Big Data is here to stay, but it's massiveness means some businesses are having a hard time taking it from mere buzzword to useful tool. The thinking that more data means more insight simply isn't true: adding context to all datapoints is key to deriving useable insights that are accurate. It's this new endeavor that needs consideration as the tech industry wants to continue its rocketship ride to the next level of growth.

The use of location intelligence has skyrocketed over the last few years. More than 80% of data maintained by organizations worldwide has a location component, according to Pitney Bowes. As the market for location matures, organizations are starting to identify new and creative ways to utilize geofencing.

Location-based targeting and foot traffic attribution are becoming common tactics used by marketers and agencies to improve brand reach. Advertisers are finding that location-based segments and attribution give them better campaign results and deeper insights about their audiences. Despite the wide use of the technology, best practices have yet to surface. 

For digital advertising (and nearly everyone else), 2016 was a tough year: “fake news” became an issue, mistrust in agencies flared as transparency problems came to light and huge acquisitions seemed to happen so often our heads were spinning. Despite these changes, disruption in the location data space is needed now more than ever. Why? Adtech users and location experts are still seeing up to 90% of location data in the industry being incorrect.

Super bowl LI has come and gone with the Patriots winning one of the best comebacks in history, but the work of brands & agencies is only beginning. The largest TV viewing audience just saw dozens of new ads from familiar brands. With the multimillion-dollar investments across TV ads and in-game sponsorships, agencies and brands want to know “did ads influence consumer behavior? Did these ads drive further foot traffic to stores?"

The Women’s March on Washington sparked a much larger movement than it’s name implies. From 2 women in the US offering their shared idea to the now historic 914 marches across all 7 continents, the organization is bringing people together across the globe. In our previous post, we compared brand affinity and geographic insights about the crowds at the Presidential Inauguration and the Women’s March on Washington. Now we'd like to shed light on the question: what’s the economic effect of attendee behavior across the country?

In our previous post, we compared geographic insights about the crowds at the Presidential Inauguration and the Women’s March on Washington. Using device location signals to do more than just count participants, we pulled dozens of insights out of the crowd’s location and movement throughout the two events. We took snapshots of device location data points seen throughout a defined DC area encompassing the inauguration and march, and then delved deeper into what those IDs revealed.