Feature Mart Data Dictionary:

Time Engagement


Features focused on hours, days and period when the devices are active or engaged.

Feature Name Data Type Definition Android Example iOS Example
pre_signal_count double Processed value of the number of signals seen throughout the history of the device 1 0.000272309
pre_active_day_percentage double Active days % in the observation period/device period 0.533861101 0.149458379
pre_commute_hour_engagement double Mobile signals distribution for the commuting hours of the day [7AM-10AM AND 5PM-8PM] 0.34635 0.42105
pre_early_hour_engagement double Mobile signals distribution for the early hours of the day [4AM-7AM] 0.00636 0
pre_night_hour_engagement double Mobile signals distribution for the late hours of the day [11PM-4AM] 0.0278 0.10526
pre_other_hour_engagement double Mobile signals distribution for day besides commuter hours, night hours, early hours or work hours. 0.07194 0.10526
pre_work_hour_engagement double Mobile signals distribution for the work hours of the day [10AM-5PM] 0.54756 0.36842
pre_loc_other_hour_engagement double Mobile signals distribution for day besides commuter hours, night hours, early hours or work hours [Location Signals based] 0.15748 0.10526
pre_loc_commute_hour_engagement double Mobile signals distribution for  the commuting hours of the day [7AM-10AM AND 5PM-8PM] [ Location Signals based] 0.33465 0.42105
pre_loc_work_hour_engagement double Mobile signals distribution for the work hours of the day [10AM-5PM] [ Location Signals based] 0.42717 0.36842
pre_loc_night_hour_engagement double Mobile signals distribution for the late hours of the day [11PM-4AM] [ Location Signals based] 0.04134 0.10526
pre_loc_early_hour_engagement double Mobile signals distribution for the early hours of the day[4AM-7AM] [ Location Signals based] 0.03937 0
pre_home_signal_count double Mobile signals distribution for home hours [8PM - 6AM] 0.50839 0.52632
pre_work_signal_count double Mobile signals distribution for work hours [10AM-5PM] 0.39547 0.31579
pre_other_signal_count double Mobile signals distribution for the day besides home and work hours 0.09614 0.15789
pre_daily_engagement_count double Processed value of, mobile signals count per active day for the device 1 0.003177179
pre_device_period double Processed value of the observation period of the device 0.534513831 0.035215031
pre_inactive_period double Processed value of the inactive period of the device 0 0.350649357
pre_active_days double Processed value of the active engagement period of the device 0.808228254 0.0132714
pre_weekday_engagement double Mobile signals distribution for the Weekdays [Monday-Thursday]. Higher the score, higher the active engagement during weekdays compared to weekends 0.58824 0.64286
pre_weekend_engagement double Mobile signals distribution for the weekends [Friday-Sunday]. Higher the score, higher the active engagement during weekends compared to weekdays 0.41176 0.35714
pre_daily_average_active_hr double Processed value of the average daily active hours for the device 0.628333509 0.086727239
pre_daily_median_active_hr double Processed value of the median daily active hours for the device 0.615384638 0

 

BACK TO FEATURE MART CATEGORIES

Talk to a Data Expert

Questions about the data feature? Need help sourcing third-party data and features to support your consumer intelligence or predictive modeling goals? Fill out the form to tell us more, and we’ll connect you with one of our data experts.