I have hands-on experience scheduling and managing social media campaigns across platforms including Instagram, TikTok, Facebook, and LinkedIn using tools like Buffer, Later, and Meta Business Suite. I'm comfortable building out content calendars, scheduling posts at optimal times based on audience analytics, and ensuring consistent posting cadence across multiple client accounts simultaneously. I also cross-check every scheduled post for caption accuracy, hashtags, tags, and link integrity before it goes live to avoid errors. When running campaigns, I track performance from day one and flag any underperforming content early so adjustments can be made without wasting the full campaign budget.

I approach client feedback as a collaboration, not a correction. When I receive feedback, I listen carefully to understand the underlying goal behind the request — sometimes what a client says they want and what they actually need are slightly different, and it's my job to bridge that gap professionally. I implement revisions promptly, confirm changes meet their expectations, and document preferences so future content is more aligned from the start. If feedback is unclear, I ask specific clarifying questions rather than guessing and revising multiple times. Over time, building a clear understanding of the client's brand voice and content standards reduces back-and-forth significantly.

To improve Meta ad ROI, I focus on three main areas: audience, creative, and funnel alignment. For audience, I use detailed targeting combined with Lookalike Audiences based on existing customers to reach high-intent users. For creative, I test multiple ad variations — different hooks, visuals, and copy angles — and quickly cut spend on underperformers while scaling what works. I also make sure the ad creative matches the landing page experience so there's no disconnect that kills conversions. Retargeting warm audiences with a stronger offer or social proof has also consistently helped me lower cost per conversion. I monitor ROAS, CTR, and cost per result daily to make data-driven adjustments before budget is wasted.