Problem:
Eighteen client accounts were running on monthly content pillars with no structured system tying creative decisions back to performance. Most clients were local businesses needing visibility in their specific markets, each with different budget levels, requiring tailored strategies across both paid and organic channels. Many also had limited or outdated visual assets, which capped creative quality and variety across the board.

Process:
I built a reporting system using Meta Ads Manager, StackAdapt, and Sprout Social to ground every creative decision in real performance data. I layered in Google Trends and TikTok's Creator Search Insights to understand what audiences were actively searching for in different industries, adding external demand signals to internal performance data. For each client I developed a channel strategy suited to their goals and budget, whether that meant paid campaigns, organic content, or both. To close the recurring asset gap for local business clients, I introduced AI image generation to produce commercial grade visuals in place of repetitive stock photography, and used AI again to speed up creative testing, producing more variations faster and adapting copywriting and creatives across different audience segments.

Outcome:
This work delivered 110% average audience growth and 49.8% engagement growth across managed accounts, alongside 29.5M+ impressions and 500+ ad creatives developed across 18 accounts in 11 months.