Facebook and Google dominate online traffic referrals but for very different content

Image: Shutterstock/ PeterPhoto1 23 On the internet, there's Google and Facebook, and then there's everyone else. Digital publishers know this. They know it on the business back, where the two companies have been accounting for just about any and all online ad proliferation in the last couple years. Digital publishers also know this on the referral side. Unless you're one of the lucky few websites that is still a destination for readers, you're playing the Facebook/ Google play. Together, they accounted for 75% of all internet traffic referrals( aka when you two are click on a link to somewhere else from them ), according to data analytics firm Parsely. They're big, but they're not the same. Parsely found that Facebook and Google tend to drive people to very different kinds of stories. Whether that's indicative of who is using the platforms or what they're very interested in is up for debate. What's clear is that treating them equally is a bad move. The standout number is 87 percent that's how much referral traffic "lifestyle" articles is obtained from Facebook. Google accounts for 6.7 percentage, while other referrers come in at 6.2 percent. Google tends to dominate in newsier themes, including engineering, business, and sports. The graph below provides insight into the various topic areas studied by Parsely. Image: parsely Parsely based its experiment on a survey of more than 10 million articles published in 2016. Also among the standouts is job postings. Google takes a monster 84 percent of job postings referrals, which provides some theory of why Google recently announced that it's going to be doing more in this area. Facebook emerged in recent years as the dominant force in digital media. The social network "re driving" massive amounts of traffic to publishers, but Clare Carr of Parsely's marketing team warns of overweighting the platform's influence. "Our most recent data analysis appearances, nonetheless, that if you use Facebook news feeds alone to judge what types of news people devour, you'll end up with a misrepresented picture, " she wrote in a blog post. "When on Facebook, you'll determine readers especially committed with articles on entertainment, lifestyle, local events, and politics. Clauses on business, worldwide economics, and sports also attract readers, but mainly through Google and other long-tail referrers." WATCH: Almost 20 years later, 'Titanic' gets a retro remake Read more :P TAGEND

Google Launches Its AI-powered Jobs Search Engine

Looking for a new job is getting easier. Google today launched a new jobs search feature right on its search result pages that let you search for jobs across virtually all of the major online job boards like LinkedIn, Monster, WayUp, DirectEmployers, CareerBuilder and Facebook and others. Google will also include job listings its finds on a company's homepage. The idea here is to give job seekers an easy way to see which jobs are available without having to go to multiple sites only to find duplicate postings and lots of irrelevant jobs. With this new feature, is now available in English on desktop and mobile, all you have to type in is a query like jobs near me, writing jobs or something along those lines and the search result page will show you the new job search widget that lets you see a broad range of jobs. From there, you can further refine your query to only include full-time positions, for example.When you click through to get more information about a specific job, you also get to see Glassdoor and Indeed ratings for a company. You can also filter jobs by industry, location, when they were posted, and employer. Once you find a query that works, you can also turn on notifications so you get an immediate alert when a new job is posted that matches your personalized query. Finding a job is like dating, Nick Zakrasek, Google's product manager for this project, told me. Each person has a unique set of preferences and it only takes one person to fill this job. To create this comprehensive list, Google first has to remove all of the duplicate listings that employers post to all of these job sites. Then, its machine learning trained algorithms sift through and categorize them. These job sites often already use at least some job-specific markup to help search engines understand that something is a job posting (though often, the kind of search engine optimization that worked when Google would only show 10 blue links for this type of query now clutters up the new interface with long, highly detailed job titles, for example). Once you find a job, Google will direct you to the job site to start the actual application process. For jobs that appeared on multiple sites, Google will link you to the one with a complete job posting. We hope this will

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