Music Information Retrieval (MIR) is the interdisciplinary science of retrieving information from digital music. Using proprietary MIR technology, a prominent audio streaming service has coded several content-based acoustical musical attributes and determined attribute values for more than 100 million songs. In this study, the MIR attribute values for 57 single-genre 116 bpm songs from that database were sorted for the acoustical attributes of Acousticness, Danceability, Energy, Loudness, and Valence. Fifteen 116 bpm music playlists of 10-12 songs each were subsequently created, consisting of Lower, Intermediate, and Higher average stimulation values for each of the five attributes. Employing a full-factorial single-case experimental design, this study examined the auditory stimulus effects of the acoustical attributes and attribute levels on synchronized stepping vigor (step length and speed) over a 2-mile outdoor loop track at confirmed 100% stepping synchrony. As stepping vigor was previously shown to be a significant function of sound intensity for both metronome and music stimuli (Shay, 2022b), music intensity was controlled across all attribute–level conditions to within 0.5 dB. Randomized data were collected over a six-month period with 5–7 repetitions for each attribute–level condition. ANOVA found no statistical differences between the overall sample means of the five attributes (p = .734) with Tukey HSD pairwise confirmations. However, step length and speed increased with increasing attribute level for each attribute from a low of 1.1% for Danceability to a high of 4.0% for Energy — ANOVA were significant for attributes of Energy (p = .001), Loudness (p < .001) and Valence (p = .012). There was significant correlation of Energy with Loudness, and it was concluded and confirmed that the unexpected effect for Loudness was predominately due to the Energy content in the Loudness playlists. In conclusion, and in alignment with some other studies, these findings showed a positive effect of increasing attribute levels for Energy (more energetic tracks) and Valence (happier music) on synchronous stepping vigor. Optimization of music for those attributes may have performance implications for walking, running and other rhythmic exercise/sport domain activities, and possible intervention in some human gait disorders.