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Social media analytics or social media monitoring is the process of gathering and analyzing data from social networks such as Facebook, Instagram, LinkedIn, or Twitter. A part of social media analytics is called social media monitoring or social listening. It is commonly used by marketers to track online conversations about products and companies.
The Facebook Platform is the set of services, tools, and products provided by the social networking service Facebook for third-party developers to create their own applications and services that access data in Facebook. [1] The current Facebook Platform was launched in 2010. [2]
Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously. [2]
Amazon uses affinity analysis for cross-selling when it recommends products to people based on their purchase history and the purchase history of other people who bought the same item. Family Dollar plans to use market basket analysis to help maintain sales growth while moving towards stocking more low- margin consumable goods .
A social media post by an opinion leader can have a much greater impact (via the forwarding of the post or "liking" of the post) than a social media post by a regular user. Influencers may help brands obtain more consumers by promoting their products in an honest and genuine way using personal sales methods, which is why brands think ...
ThoughtSpot's software can analyze data from sources like Snowflake and Databricks, and integrates with the Google Cloud Platform and Amazon Web Services. [ 22 ] [ 31 ] It also offers an analytics software product designed for Google's data warehouse service, BigQuery .
Amazon product lines include (books, music CDs, videotapes, and software), apparel, baby products, consumer electronics, beauty products, gourmet food, groceries, health and personal care items, industrial and scientific supplies, kitchen items, jewellery and watches, lawn and garden items, musical instruments, sporting goods, tools, automotive items and toys/games.
Parse.ly is a content optimization platform for online publishers. [2] Parse.ly's product, Dash, is built on top of the Parse.ly platform. Dash parses articles on a publisher's site, and then analyzes them to identify data around metrics that are specific for publishers such as topics, authors, sections, and referrers.
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