Creating multiple pieces of microcontent every day for social media is no easy task. Creativity, framework of the social network, audience behaviour and many other factors influence the creation of engaging content. Simply put, content creation is driven by intuition rather than science. As social media becomes a larger part of the marketing mix, this needs to change.
To eliminate human bias from creation and to ensure better engaging, and perhaps more importantly better-converting content – we’ve launched Unmetric Predict. We can now forecast the engagement of your post before you hit ‘Publish’ using intelligence from over a million human-tagged posts.
Unmetric Predict allows marketers to input details about a planned piece of social content across four defining elements – structure, tone, intent and context. The machine learning algorithm then provides an estimate of engagement that the post will receive based on the number of likes, comments and shares. Predict then provides actionable recommendations for ways to boost the post’s engagement and displays the new predicted results based on those edits.
“Predictive analytics technology is the next evolution in enterprise software, and marketers are leveraging data to improve customer experiences and business outcomes in ways not previously possible,” says Lux Narayan, CEO of Unmetric. “We developed Predict to help brands stay ahead of the curve with their data-driven marketing strategies and achieve greater content results by bringing actionable quantitative evidence into the process of content creation.”
Predict is currently being offered as a custom tool for enterprise brands using the Unmetric platform. Each build will be customized to your brand’s specific sector, as well as desired competitors and relevant tags. For further details, email us at email@example.com.
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