Foraging-intensity models predict that consumers balance the costs of environmental risk factors, food availability, predation, and starvation to determine the optimal foraging rate response. To test the assumptions of these ecological models in situ, we used radio frequency identification (RFID) to monitor the foraging behavior of 5 individual Baeolophus bicolor (Tufted Titmice) at bird feeders from January to February 2021. We used a Poisson generalized linear mixed effects model to determine how temperature and seed type impacted the number of daily feeder visits, while controlling for feeder and individual ID. We documented increased foraging frequency for Titmice in colder, snowier conditions. Titmice also exhibited a strong preference for whole black oil sunflower seeds (with an intact outer shell), in contrast to sunflower hearts (with the shell removed).