Generative AI offers powerful frameworks for enhancing decision-making across various domains. By leveraging AI in marketing, social media, and strategic advising, organisations can navigate complex challenges, optimise engagement, and drive growth. Embracing these AI-driven strategies will not only address immediate needs but also position companies for long-term success in a rapidly evolving digital landscape.
In a recent masterclass on using generative AI for effective decision-making, Devan Parbhoo, the MasterStart Industry Expert for newly launched AI course, shared positive ways to elevate your work by using AI. He focused on three specific frameworks for marketing, social media and strategic advising use cases.
When using AI as a decision-making tool, here are some frameworks to duplicate, adding your own context to get the results you want.
Decision-making Framework – Marketing use case example
Context: With the new advent of privacy laws, the use of third party data for marketing purposes has become increasingly restricted.
Background: Our organisation’s goal is to pivot our strategy to focus more on first party data collection and utilisation.
Action: This will involve setting up an efficient data collection framework on our own platforms and tailoring our marketing strategy to make the most of it (the first-party data).
Scenario: The shift in strategy is happening amidst the launch of our new product line next month.
Task: Your task is to develop a detailed plan for first-party data collection and usage options/recommendations in our upcoming marketing campaign.
Decision-making Framework – Social media use case example
Task: The task is to amplify our organisation’s engagement with its audience on Instagram.
Action: This necessitates the launch of a user-generated content campaign where customers share their personal fitness journeys while wearing our athletic products, using a unique hashtag.
Goal: The end goal is to increase your Instagram engagement rate by 20% and user generated content submissions by 50% over the next quarter.
Decision-making Framework – Strategy advisor use case example
Role: Act as a strategic advisor who has worked as a senior strategy consultant in Gartner, McKinsey, Deloitte and KPMG with experience in projects across Western, European, and African continents.
Action: Suggest a set of high-impact, low-cost growth hacking techniques.
Context: Amazon has entered South Africa as a direct competitor for [e-commerce company], selling a wide range of products from electronics, appliances, books and other lifestyle products. [company] is looking to further cement its position in the market as the preferred online e-commerce marketplace for South Africans.
Expectations: The expected outcome is a selection of practical and feasible growth hacking tactics tailored to the e-commerce industry and [company], which can be implemented to acquire new customers and retain the existing ones effectively.
Incorporating generative AI into decision-making processes can significantly elevate an organisation’s ability to tackle contemporary challenges and thrive in the digital era. By adopting AI-driven frameworks in marketing, social media, and strategic advising, businesses can ensure robust engagement, strategic agility, and sustained growth.
