![]() ![]() There’s also an app called Google Opinion Rewards - you get asked your opinion on different things and are rewarded with points that you can use to buy things. Google also solicits information from you, for instance: Those are examples of passive data collection. YouTube and Google Play are other apps that Google Now will try to combine data from into your profile. If you leave your phone at home and do a Google search from another location, it will get your location data from your phone and think you’re in the wrong place. Because desktops/laptops don’t usually have GPS devices built in, Google Now will base your location on the location of your phone. It just does that because it knows you’re logging in on both devices. You never gave permission for Google to connect your mobile and desktop devices. Even just typing “s” brings up a previous search query in the suggestions. You can see that Google connects a previous search from your desktop and brings it up on your phone. There’s a tool in Search Console that can be used to test the markup you’re developing to add to your email HTML. It’s especially common in travel-type notifications. If emails are marked up for an action behavior, Google can include that information in a Google Now card. Here are some examples of what these Google Now cards might look like: There’s an option for showing you a notification in a Google Now result. Google aggregates the apps to see a combined “you.” Google Now: App Notifications What signals are used to predict searches? Google Now looks at what you usually do on that day and time (in the past) to give a prediction response without your asking. What signals are used to drive PS results and what do those results look like?Ĭurrent signals contributing to predictive search: We see it on wearables, mobile, desktop and TV. Cards show up automatically based on your history. Card formatting – You’ll see items formatted in the shape of a card to provide one screen’s worth of information.The presentation layer (where the information is displayed) is very small. Predictive search is the best answer on wearable devices because it means you’re not talking out loud, although voice search is the second option. Wearables, for instance, are a strong category for growth. There are lots of things you may want to search, but they don’t have a keyboard or even a screen. Predictive search has some strong use cases. Things like casting options in Chromecast are allowing more things to be web-enabled. This is important because technology is evolving and more of our devices are connected. This enables search on connected devices. Search engines take all the information they can gather and give you an answer before you search. Google Now, Microsoft Cortana & The Predictive Search World By Cindy Krum from Search Marketing Expo – SMX What is predictive search and why is it important? PS is exciting, but it’s changing quickly. What do predictive search results look like?.What are the signals used to predict searches?.What is the future of predictive search and where is it going?.Some questions that will be covered in this session include: Danny is jaded, yet this gets him excited. We’re going to talk about predictive search (PS), and that’s an exciting area for search. Moderator: Danny Sullivan, Founding Editor, Search Engine Land ( Cindy Krum, CEO, MobileMoxie ( Predictive Search: How It’s Changing Our Interaction with Technology In this session at SMX East, Cindy Krum gives us a tour of Google Now and covers what the latest changes mean for marketers. It’s important for search marketers to keep up with these technologies that can present answers to people before they even think to search for them (aka, “predictive search”). Google Now continues to grow and change, as does Microsoft Cortana and the other digital assistant rivals. ![]()
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