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Narayan admits that " the whole social space has a lot of noise : it's very difficult to disambiguate one company from another, but I think there are distinctive points in what they do and it's at the stage where they start to distribute the artificial intelligence in their strategies”. The main areas of application of artificial intelligence to digital marketing related to social media are: Content Creation Content Curation Consumer Intelligence Influencer Marketing Competitive Intelligence 1. Content creation User sensitivity for certain topics is the unit of measurement of the speed and quantity of content creation by people, elements taken into consideration by marketers.

Years ago, the average brand ran a campaign every six months, now they run six every month and end up producing a lot of content on social media. AI-powered tools like Quill help, for example, automate content creation based on the analysis of user-generated data on seo expater bangladesh ltd websites and associated social profiles. 2. Content Curation Social media marketers consistently struggle with curating engaging and relevant content. Content curation refers to the search, organization and sharing of high-quality content for the target audience and artificial intelligence has the ability to collect data related to it, including their choices, what they have read recently , questions asked about a product, etc.



With this information, marketers can curate content that is relevant to their audience at every stage of inbound sales . Narayan observes, "Social media has a lot of data to draw on to amplify content, and the New York Times does something interesting: The development team built an app they call Blossom internally that works inside Slack. It's an intelligent bot that uses engagement data to help them decide which of the 300 weird stories they've published on any given day deserves a promotion or increased focus. ” Furthermore, the general trend among marketers is to use pay per click advertising using Facebook or AdWords.