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Instagram Popularity Forecast for Optimum Digital Marketing Using Machine Learning

EasyChair Preprint no. 7572

3 pagesDate: March 17, 2022


Ever since the platform moved away from reverse-chronological and to a curated feed. For digital marketeers they are like little data puzzles just waiting to be solved. Recent data suggested that 72 percent of executives surveyed, social data is already the top data source used to inform business decisions,even more so than market research. 85 percent agree that social data will be primary source of business intelligence and 90  percent of marketeers agree that social data enables them to stay ahead of their competitors, resulting in help of social media listening tools.So our model will help forecast the likes and engagement on an Instagram post/reel which will be very beneficial for Local businessman and upcoming influencers

Keyphrases: Digital Marketing, Engagement, Forecasting

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Shashank Kotian and Mayuresh Jadhav and Samiksha Jadhav and Shrutika Khetam and Priya Mule},
  title = {Instagram Popularity Forecast for Optimum Digital Marketing Using Machine Learning},
  howpublished = {EasyChair Preprint no. 7572},

  year = {EasyChair, 2022}}
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