Abstract:

Up to 85% of brand generated social media posts are wasted. With digital advertising approaching 50% of all advertising expenditure, we need to go beyond clicks and likes as a measure of ROI on social media expenditure. Through machine learning, a brand can now see how many posts support their intended position, how many are off target, and how many are simply ambiguous. This presentation demonstrates how the AI tool works, highlights the role of archetypal alignment across touch points, delivers a practical framework where brands can specifically identify the nature of their optimal social media imagery, and concludes that understanding archetypal codes is the key to optimising ROI in Social Media.