Instagram Growth Modelling for Sponsorship Pricing

Built an R package that ingests a veterinary influencer's historical Instagram follower counts, fits a growth model, and projects audience size at the point a sponsored post would be delivered.

The projected reach feeds a pricing rubric that converts expected impressions into a defensible rate card, replacing ad-hoc negotiation with a data-backed floor for sponsor collaboration fees.

Packaged as a reusable R library so the client can refresh forecasts and re-price incoming partnership offers as the account grows.