While we know that Facebook users love to post about Black Friday, the same rings true about Small Business Saturday. Facebook tries to help small businesses however possible, and the company’s Director of Small Business, Dan Levy, previously told Inside Facebook that a good chunk of the site’s advertising base consists of non-chain stores.
Facebook recently released some statistics showing how popular Small Business Saturday — the counterpart to Black Friday — was on the site. Mentions related to Small Business Saturday were 1,200 percent higher on the day compared with the week leading up to it.
The man in charge of data science and analytics at Facebook has left the social network to take on a similar role and data and analytics company Identified.
Newly-minted Identified Chief Data Officer Mohammad Sabah will direct and develop the company’s patent-pending intelligence technology for recruiters, dubbed SYMAN, which culls unstructured data to create organized, searchable profiles. SYMAN was designed to spot professional data posted in virtually any social media platform. Competing technologies rely solely on user-generated information.
For many married couples, the “something blue,” in that popular rhyme is Facebook. The social network released a study Monday showing that 28 percent of married college graduates on Facebook went to the same college.
Facebook also found that 15 percent of married couples went to the same high school as their spouse. The company’s data science team took a deep dive into these numbers, finding out which schools were the best for matrimony.
Many media organizations are catching on, wanting to know what people on Facebook are saying about a certain topic. While it’s easier with Twitter, where celebrities often talk about issues of the day, Facebook wants to be known in this space, as well. The site launched two new application programming interfaces (APIs) to make it easier for news organizations to show public posts and real-time conversation data around a certain topic.
For instance, Facebook points out that the NFL kickoff this weekend accumulated 20 million likes, comments, and shares on Facebook by more than 8 million people.
Facebook on Monday announced the Keyword Insights API and Public Feed API. The Keyword Insights API displays a real-time feed of public posts for a specific word (such as “Grammys” or “NFL”). Only public posts from pages and prominent users with the “follow” feature turned on will be displayable. The Keyword Insights API aggregates the total number of posts that mention a specific term in a given time frame, making it easier for news organizations to see how many people were talking about an event before, during or after an event. It can also display anonymous, aggregated data based on gender, age and location.
Facebook is proposing changes to its documents that govern privacy and how data is used in ads and elsewhere throughout the site. In light of the sponsored stories lawsuit, Facebook wants it to be clear that users are granting permission for their likenesses to be used in conjunction with advertising. The updates are scheduled to take effect Sept. 5.
An important change in the statement of rights and responsibilities notes that users would be granting Facebook permission to use their information in ads.
For a redline document showing proposed changes to the statement of rights and responsibilities, click here.
For a similar document showing proposed changes to the data use policy, click here.
Under the current statement of rights and responsibilities, Facebook notes that users can tweak their privacy settings to decide if they want their likeness to be attached to ads:
You can use your privacy settings to limit how your name and profile picture may be associated with commercial, sponsored, or related content (such as a brand you like) served or enhanced by us.
Here is the proposed rewording to this statement (though Facebook claims that the site will not give away information to companies without a user’s consent):
You give us permission to use your name, and profile picture, content, and information in connection with commercial, sponsored, or related that content (such as a brand you like) served or enhanced by us, subject to the limits you place. This means, for example, that you permit a business or other entity to pay us to display your name and/or profile picture with your content or information, without any compensation to you. If you have selected a specific audience for your content or information, we will respect your choice when we use it.
Facebook has been trying to become more transparent as a company. New General Counsel Colin Stretch posted Tuesday a thorough report of all government requests for Facebook data over the first six months of 2013. This report details the number of requests a country’s government has made to Facebook, the number of users’ data that was requested, and the percentage of requests where Facebook did produce data.
Within an hour of the birth of Prince William and Duchess Kate’s first baby, there were more than 1 million mentions of the royal baby on Facebook.
Facebook offered Inside Facebook some statistics about countries and demographics that talked about the newest addition to Britain’s Royal Family. Within the map above, the darker shade of the country means the more discussion on Facebook about the royal baby.
Top 5 countries buzzing about the royal baby within the hour of the announcement:
- United States
Top demographics buzzing about royal baby during the hour he was announced:
- 25-34 year old women
- 18-24 year old women
- 35-44 year old women
- 18-24 year old men
- 45-54 year old women
Facebook recently took users behind the curtain for an in-depth look at the engine that powers the social graph: TAO. Whenever you check into a place, comment on a friend’s status, or like a photo, TAO knows.
TAO, which stands for The Associations and Objects is the motor that keeps Facebook’s graph going, learning about relationships between users.
Facebook illustrated what TAO does and thoroughly explained its function:
Facebook puts an extremely demanding workload on its data backend. Every time any one of over a billion active users visits Facebook through a desktop browser or on a mobile device, they are presented with hundreds of pieces of information from the social graph. Users see News Feed stories; comments, likes, and shares for those stories; photos and check-ins from their friends — the list goes on. The high degree of output customization, combined with a high update rate of a typical user’s News Feed, makes it impossible to generate the views presented to users ahead of time. Thus, the data set must be retrieved and rendered on the fly in a few hundred milliseconds.
This challenge is made more difficult because the data set is not easily partitionable, and by the tendency of some items, such as photos of celebrities, to have request rates that can spike significantly. Multiply this by the millions of times per second this kind of highly customized data set must be delivered to users, and you have a constantly changing, read-dominated workload that is incredibly challenging to serve efficiently.
Through Facebook’s social plugins, businesses are finding new and innovative ways to attract readers and customers.
At the recent AllFacebook Marketing Conference in San Francisco, Jason Jedlinski, the Vice President of Digital Products & Platforms at Tribune Broadcasting, and Jay Budzik, the Chief Technology Officer at Perfect Market, Inc., showed attendees how a Los Angeles TV station found viewers through creatively using Facebook’s data.
Tribune partnered with Perfect Market for ads as well as unique Facebook integration techniques via Perfect Social on KTLA.com, such as making it easy to share a story to Facebook directly from the site, while tagging friends and adding custom context.
This is a guest post by Resolution Media Director of Client Strategy and Development George Manas.
Marketers seeking better ways to reduce waste, influence buying behavior and strengthen brand equity are likely to embrace Facebook Partner Categories. Launched on April 10, this new self-service capability puts a rich array of data-driven targeting segments at advertisers’ fingertips, helping increase the precision, relevance and effectiveness of their Facebook campaigns.
Partner Categories uniquely combines data describing both the online and offline purchasing behavior of consumers in more than 500 segments and relies on data from third-party firms Datalogix, Acxiom and Epsilon. Marketers of all sizes can benefit from Partner Categories’ easy access and no-minimum-spend requirement.
The new service is the latest in a series of targeting enhancements introduced by Facebook to improve advertisers’ results. Partner Categories likely will attract as many or more advertisers as has Facebook’s recently launched Custom Audiences program, which provides the ability to import customer data to improve targeting.
Partner Categories integrates with other targeting options within Power Editor (Facebook’s advanced self-serve platform) and is available through select paid media APIs. U.S.-based advertisers can begin using Partner Categories immediately, while advertisers based in other countries must be white-listed to use the service and may only target U.S. consumers at this time.
Although we see almost daily examples of new technology empowering the consumer’s evolution, it’s important to also acknowledge the vital impact of new advertiser services like Partner Categories, which keep marketers ahead of the curve.