Feature Mart Data Dictionary:

Location-derived


Features like common day, common evening and most-seen location of devices.

Feature Name Data Type Definition Android Example iOS Example
pre_distinct_loc double Preprocessed value of the number of distinct locations for the device 0.65322578 0.096774191
pre_premium_poi_count double Preprocessed visit score to the premium POIs for the device. Premium POIs are locations for luxury engagement like premium brand stores, golf clubs, 5-star hotels etc. This is a curated list of all premium POIs for the country 0 0
pre_automotive_engagement double Preprocessed value of the automobile POIs engagement score for the device. Score range is between 0 and 1. If the score is higher, then this device has high engagement with Automotive POIs compared to other 4 brand engagement features for the same device 0.043978315 0
pre_business_engagement double Preprocessed value of the business services POIs engagement score for the device. Score range is between 0 and 1. If the score is higher, then this device has high engagement with Business Service POIs compared to other 4 brand engagement features for the same device 0.076547397 0
pre_food_and_beverage_engagement double Preprocessed value of the food services POIs engagement score for the device. Score range is between 0 and 1. If the score is higher, then this device has high engagement with Food Services POIs compared to other 4 brand engagement features for the same device 0 0
pre_retail_engagement double Preprocessed value of the retail POIs engagement score for the device. Score range is between 0 and 1. If the score is higher, then this device has high engagement with Retail POIs compared to other 4 brand engagement features for the same device 0.12272593 0
pre_travel_engagement double Preprocessed value of the travel POIs engagement score for the device. Score range is between 0 and 1. If the score is higher, then this device has high engagement with Travel POIs compared to other 4 brand engagement features for the same device 0.034538396 0
pre_premium_brand_engagement_score double Preprocessed value of the premium brand engagement score of the device 0 0
pre_premium_brand_count double Preprocessed value of the premium brand visit score of the device 0 0
pre_premium_brand_engagement_days double Preprocessed value of the cumulative number of days the device was seen on premium brand locations 0 0
cdl_geohash string Geohash for the latitude-longitude where maximum signals were observed during work hours w5p1119t w5p5e1er
cdl_city string City of location where maximum signals were observed during work hours Si Samrong Si Nakhon
cdl_state string State of location where maximum signals were observed during work hours 64 64
cdl_zipcode string Zipcode of location where maximum signals were observed during work hours 64120 64180
cdl_last_seen string Date & time of the last observed signal at the cdl location from the device  2022-12-21 2022-03-28
cel_geohash string Geohash for the latitude-longitude where maximum signals were observed during home hours w5p36338 w4xnspeg
cel_city string City of location where maximum signals were observed during home hours Wat Bot Wat Sing
cel_state string State of location where maximum signals were observed during home hours 65 18
cel_zipcode string Zipcode of location where maximum signals were observed during home hours 65160 17120
cel_last_seen string Date & time of the last observed signal at the cel location from the device  2022-07-03 2021-07-10
most_seen_location string Geohash for the latitude-longitude where maximum signals were observed w5p1119t w5p5e1er
most_seen_city string City of location where maximum signals were observed Si Samrong Si Nakhon
pre_most_seen_state string State of location where maximum signals were observed 64 64
cl_most_seen_zipcode string Zipcode of location where maximum signals were observed 64120 64180
most_seen_last_seen string Date & time of the last observed signal at the most seen location from the device  2022-12-21 2022-03-28
pre_travelled_countries double Preprocessed value of the number of travel countries for the device wrt to the devices in the country 0 0
pre_travelled_days double Travelled days are defined as number of days device was seen in the international location. This is the processed value of travelled days for the device 0 0
pre_premium_segments_count double Preprocessed engagement score with the premium behavioural segments for the device wrt to devices in the country. Premium behavioural segment is mainly app related along with other device attributes, and doesn't involve premium POIs 0.578374803 0.144593701

 

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