AI-Driven Micro-Influencer Strategy & Execution

In this course, you’ll build and test an AI-assisted micro-influencer strategy from persona-to-posts to performance forecasting. You’ll start by creating a micro-influencer persona that fits your niche and audience: defining voice, style, content pillars, cadence, and the key metrics that matter most for your platforms. Next, you’ll use generative AI to automate cross-platform content. Starting with one core post (often LinkedIn), you’ll adapt it into tailored versions for X, Instagram, and TikTok: each with its own length, tone, and KPI focus. You’ll also learn how to ask AI for KPI-driven tweaks right before publishing, while keeping human judgment in control. Then you’ll move into forecasting and scenario testing. You’ll prompt AI to estimate expected performance metrics before you spend time or budget, and run “what-if” comparisons by changing variables like ad spend, posting cadence, and content mix. Finally, you’ll generate strategy variations, compare projected outcomes, and choose a “winner” based on your goals and constraints. In the graded assignment, you’ll design a complete micro-influencer campaign for a brand of your choice: build a persona, write platform-specific posts, create and evaluate strategy variations, and reflect on one benefit and one limitation of using AI in the process.