For years Google Maps were the standard for publishers and developers wanting to integrate maps into their sites. Google Maps were part of the original “mashup.” Google’s early API, consumer popularity and easy (read: free) licensing terms fueled rapid adoption of Google Maps by third party publishers and developers. But last November Google announced that it would be charging its heaviest maps users starting January 1, 2012 for map views/impressions over 25,000 per day. Each additional 1,000 page loads would cost $4. Google estimated that roughly 4,000 customers would be affected. Shortly thereafter there were several relatively unnoticed defections, citing potential costs of several hundred thousand dollars at the high end. But Google Maps defectors may become more numerous following Foursquare’s abandonment of the platform this week in favor of OpenStreetMap. The LBS company offered its rationale in a blog post: Starting today, we’re embracing the … [Read more...] about Foursquare Breaks Up With Google Maps, Is It The Beginning Of A Trend?
Using google maps api
Forthcoming January traffic data will reportedly show that Google Maps has taken the lead from MapQuest as the top mapping site in the US. According to the numbers that I received (I’ve asked comScore to verify), MapQuest’s January monthly unique visitors were 41.5 million and Google’s were 42.2 million. This is the first time that Google Maps has overtaken MapQuest. However my source said that time on site/engagement, as reported by comScore, is still greater for MapQuest than for Google Maps. In some respects we have been anticipating this event for a long time, ever since Google removed links to competitors’ mapping sites from its search results in January, 2007. Some people will argue that this is the inevitable (and potentially “unfair”) result of Google’s ability to refer traffic to its own properties. Indeed, Hitwise has reported multiple times that the bulk of Google Maps’ traffic comes from this sort of self-referring. A year ago … [Read more...] about ComScore To Report Google Maps Now Number 1
Google recently upgraded Google Maps with a new land parcel data layer, added a Map error reporting function, has promised map fixes to street errors in 30 days or less and has replaced Tele Atlas as their provider of roadway data. It was widely expected that Google might replace TeleAtlas but I don’ think anyone realized it would be this soon. I wanted to better understand Google’s plans for Google Maps in the United States and globally and put the changes into a larger competitive and social context. In an effort to clarify my thinking about the technology and the implications I contacted Mike Dobson of TeleMapics, mapping industry veteran and all around brilliant guy. I asked and he answered. Mike Blumenthal: Does the recent Tele Atlas boot from Google Maps US mean that Google has developed or acquired routing algorithms? Mike Dobson: Google worked with deCarta (under its former name Telcontar) when they were beginning the development of their mapping application. … [Read more...] about Tectonic Shifts Altering The Terrain At Google Maps
For many of us, analyzing our AdWords data starts with downloading a massive .CSV file into Excel and running various calculations and building charts. After that, we turn into fortune tellers, trying to read the analytical tea leaves of our data and predict what changes to make. That analysis is time consuming, difficult, and biased by our personal experiences and emotions. Machine learning can help us fix that. Today, we are going to use the Google Prediction API and AdWords Scripts to predict the future. Asking For A Prediction With the Google Prediction API, you no longer need a dedicated team of PhDs to build and maintain an analytical model for your pay-per-click (PPC) data. All you need to do is format and push your data in, then ask it for a prediction. The more data you can provide, the more accurate that prediction should be. The world of machine learning seems a little daunting at first, but I’m going to give you a crash course to help you get started quickly. … [Read more...] about Machine Learning With AdWords Scripts And Google Prediction API
San Francisco is the third-worst city in the United States for traffic congestion, according to a study by the 2015 Urban Mobility Scorecard. Commuters in San Francisco spend an extra 78 hours a year delayed in traffic, and as far as I can tell, it won’t be getting better any time soon. Now that traffic information is so easy to access from any smartphone, your customers are likely checking and changing their behavior because of it. And when your customers change their behavior, you should be able to react. Today, I’m happy to share a library I wrote to access Google Maps traffic data to determine commute times. By entering an origin, destination and departure time, you can quickly see how long a normal drive takes and how long the drive takes with traffic. Using that data, you can change your bids and Ad schedules or enable a set of Ads targeted directly toward those commuters. Please note that I’m not advocating for you to advertise to commuters while they’re … [Read more...] about Pull Google Maps traffic data into AdWords with this script library