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Title: AI in Brand Marketing: Can AI Pave the Path to Social Media Millions? S1 ep2

The Attainability Question: A Shift from Luck to Leverage?

Taking it back to where we began: is becoming a social media millionaire attainable for the average millennial through viral marketing? Tools such as Video leap, TrendTok, and Kling AI were identified as leaders in generating addictive/viral content, with these software’s enabling the ability to amplify user-generated content (UGC). If you're able to identify UGC showing early signs of traction, the AI tool will pinpoint that, strategically pushing it towards the masses with content optimisation. The average millennial might think it's hard breaking into the masses/virality, but intelligently leveraging such AI tools levels the playing field for creators without the need for talent or a higher IQ.

Influencer Marketing: From Connection to Cascade

Influencer marketing is an intricate process, as Campbell & Farrell (2020) explained, and is profound. Identifying the right influencer who aligns best with the brand's ethos allows for a better connection, producing better campaign results. Now, looking through the lens of possibilities with utilising viral techniques such as influencer marketing, but rather than sourcing external influencers, one becomes a source of influence. AI tools make this possible by gathering data on hashtags, keyword research, and the best posting times. Pairing AI performance analytic capabilities with influencer marketing allows a shift beyond guesswork for an aspiring social media millionaire to having a roadmap where one’s influence can expand the brand's reach exponentially.

The Attainable Question: A Shift from Luck to Leveraging

Research has shown that the goal should not be about guaranteed virality, but rather increasing the odds of virilisation through intelligent leveraging of AI tools. Chaffey & Chadwick (2019) stated the ways in which digital marketing is being redefined for individuals, with AI tools providing automation, personalisation, and analytical insight that previously were only the purview of large agencies. The tools provide one with the ability to automate content scheduling, personalised targeting, and performance analysis, shortening the time it takes a millennial to learn and execute the process. The iterative process, boosted by AI, is illustrated by Gibbs (1988), who highlights that every failed experience yields invaluable data. Allowing for change, rapid adaptation, and fine-tuning for better audience interaction. Identifying sustainability as a key factor, making data-informed decisions that push the content towards maximum audience engagement, and ultimately reaching monetisation.

Conclusion:

To conclude, being an average millennial with ambition, creativity, and eagerness to learn from AI’s vast insight, the road to social media stardom and financial freedom becomes ever so attainable. The question then shifts from not if virality is possible but rather how you make it possible through leveraging AI. So, returning to the core question: is becoming a social media millionaire attainable for the average millennial through viral marketing? My ever-evolving reflection demonstrates a resounding yes, more so than ever before in the age of AI viral marketing.

Reference List

Campbell, C. and Farrell, J.R., 2020. More than meets the eye: The functional components underlying influencer marketing. Business Horizons, 63(4), pp.469–479. https://doi.org/10.1016/j.bushor.2020.03.003

Chaffey, D. and Chadwick, F.E., 2019. Digital Marketing. 7th ed. Harlow: Pearson Education.

Gibbs, G., 1988. Learning by Doing: A Guide to Teaching and Learning Methods. Oxford: Oxford Further Education Unit.

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MifiadaHome Starting a Brand | AI in Brand Marketing: Can AI Pave the Path to Social Media Millions? Episode 1

A current MSc Marketing student, I often find myself researching into the world of Digital Marketing more specifically overnight 'virilisation' and furthermore the 'social media millions' that so many millennials dream of. With the glamorous lives of social media influences further demonstrating how fame and fortune can be attained by generating a large audience through social media virilisation, the question arises: is it attainable for the average millennial like you or me, who is not famous, nor born of privilege, but armed with a mobile phone and big dreams?

The Allure of Virality: A Millennials Obsession?

Debunking the myth behind AI, particularly tools such as ChatGPT or Gemini, being the holy grail to attaining overnight success. With AI gurus filling our #fyp with heavy promises of achieving financial freedom and escaping from the controversial 9-to-5, every millennial's dream of monetising their passion. Unfortunately, the harsh reality is that viral moments are fleeting, unpredictable, and even when attained, to reach social media stardom and replicate said moment, this often becomes impossible. Initially, understanding being virality is more to do with luck and an intangible 'it' factor than any replicable strategy.

AI as the Navigator in the Viral Storm?

My perspective on AI begins to shift with the discovery of a specific software called Kling AI. The pursuit of 'virality', as I now understand it, isn't just about random chance; it's about optimising efforts for maximum shareability and resonance.

My previous reflection within the topic focused on AI's ability to understand audiences, and craft compelling narratives, and identify your inner influencer abilities. Now, I see how these capabilities directly feed into the virilisation equation. If Tuten & Solomon (2015) emphasised engagement and relationship, then 'Kling AI' takes that a step further by identifying the optimal points of engagement that trigger sharing. Imagine an AI that doesn't just tell you what your audience likes, but what they are most likely to share with their network. This isn't about creating a viral hit from scratch, but about increasing the probability of viral spread for well-crafted content.

Storytelling for Shareability: The AI Edge?

The power of a narrative, as Van Laer et al. (2014) articulated, lies in its ability to transport an audience. To go viral, you need to be more than just author; but rather transcend your audiences mind to a world which was previously unknown, a subtle but crucial distinction.

With cutting edge animation 'Kling AI's' ability to tell a story is unmatched. It also enables past performance analysis to better develop storylines, this is powerful for identifying stories that better resonates with the audience, which would propel people to share them this could be:

Addictive Content:

-Emotional hook

-Surprising twist

-Universal truth

A cheat code to knowing what design, colour scheme, theme has previous resulted in higher viewer count, moves past the guessing game or what others might deem luck but rather the ability to make data driven creative decisions.

The Conclusion: How do you amplify Organic Reach?

Rosenbaum's (2011) "Curation Nation" this concept demonstrates the active role users play in content creation. The need for community is seen in other words as an engine of virality. Through the play of consistency, this doesn't leave process of becoming viral to chance but rather through sawing seed via more than one social platform, it allows for the opportunity of it flourishes sparking a chair reaction for the creator to then replicate said moment.

Reference List:

Rosenbaum, S. (2011) Curation Nation: How to Win in a World Where Consumers are Creators. New York: McGraw-Hill.

Tuten, T.L. and Solomon, M.R. (2015) Social Media Marketing. 2nd edn. London: Sage Publications.

Van Laer, T., De Ruyter, K., Visconti, L.M. and Wetzels, M. (2014) ‘The Extended Transportation-Imagery Model: A Meta-Analysis of the Antecedents and Consequences of Consumers’ Narrative Transportation’, Journal of Consumer Research, 40(5), pp. 797–817. https://doi.org/10.1086/673383