Social mention analyzes data from social media platforms like Twitter and YouTube, compiling mentions, retweets, shares, and likes into graphs to provide statistics. Twitter archivist organizes Twitter data into graphs showing direct stats. Analysis of #imcslc on Twitter found mostly positive and neutral sentiment, with Social Mention identifying top users and their influence. The hashtag averages 1 mention per hour or 24 daily, authored by 52 users sharing case studies and social media articles. Unlike other programs, IMCSLC has established itself as a stand-alone brand on Twitter with the hashtag, giving it an advantage. YouTube analysis of IMCSLC found generally positive or neutral feedback, with top influencers and contributors identified alongside average video mentions and tags consisting