Opportunistic D2D forwarding algorithms have leveraged human mobility characteristics to improve cost-effective content delivery. Most previous proposals focused on traditional or simplistic human-centered metrics to improve performance in scenarios such as cellular data offloading. Still, there is a need to approximate algorithm's metrics to inherent in-depth aspects of human mobility hidden into real datasets while leveraging more realistic scenarios interesting to mobile operators. This work proposes TOOTS, a novel human-aware opportunistic D2D forwarding strategy for cost-effective content delivery on cellular networks. TOOTS features a dissemination policy and a forwarding algorithm that leverages wireless encounters patterns, temporal, spatial, geographic, and direction awareness to improve costeffectiveness delivery. These characteristics are extracted from NCCU and GRM datasets. We compare TOOTS with the most popular state-of-art social-aware algorithm, Bubble Rap, combined with three dissemination policies. Results from TOOTS show increased performance in terms of delivery rate, delivery latency, and overhead.