Premium Export
Overview
Premium Export enables the delivery of Placer data at scale for businesses looking to enhance their in-house data analytics capabilities with accurate location data.
This feed provides delivery of various location metrics, allowing you to combine up-to-date location data into your first-party data and build internal reports, applications, and dashboards.
Configuration
| Configuration aspect | Available options descriptions |
|---|---|
| Data granularity | Weekly and Monthly |
| File formats | CSV and PARQUET |
| Regions | The following regions can be selected for the different regional chains: - Nationwide - State - DMA - CBSA |
| Feeds time frame | The feed's timeframe can be configured to commence from January 2017 or any later date. |
| Delivery methods | Please refer to the following Delivery Details for all supported Premium export feed delivery options. |
| Delivery Schedule | Here is the delivery scheduling for each of the available feeds: Weekly: Delivered each Thursday Monthly: Delivered on the 6th of each month |
| Control files | Supported |
| Success file | Supported |
| Amazon SNS notification | Supported |
Deliverables and Schemas
Metrics
Metrics availability
Please note that not all metrics are available for all types of entities in all possible granularities. You can check the availability of metrics here.
Please refer to the definitions and structure of each metric:
| Column | Description | Type | Example |
|---|---|---|---|
| publication_date | Data publication date | ISO-8601 | 2023-01-01 |
| version_code | Calibration version code | string | 2.0.0 |
| id | Placer's entity ID | string | '5965fca0173f564b883c222e' |
| name | Entity name | string | 'McDonald's' |
| type | Entity type. Supported entity types: 'venue', 'complex', 'chain', and 'billboard'. | string | 'venue' |
| time_frame | Data aggregation resolution. Supported values: 'weekly' and 'monthly'. | string | 'monthly' |
| start_date | Data start date. | ISO-8601 | 2018-04-15 |
| end_date | Data end date (inclusive) | ISO-8601 | 2018-04-15 |
| region_type | 'nationwide', 'state', 'dma' & 'cbsa' are supported. Only available for entities of type 'chain.' Note: CBSA is the union of MSAs & micro-MSAs | string | 'nationwide' |
| region_name | Region's name | string | 'California' |
| region_code | Region's code | string | 'CA' |
| lat | The entity's latitude. _Only available for entities of type 'venue' or 'complex' | double | 37.786099 |
| lng | The entity's longitude. _Only available for entities of type 'venue' or 'complex' | double | -121.46352 |
| ticker_symbol | The stock exchange ticker symbol | string | 'MCD' |
| company_name | If available, the parent company chain name. | string | 'McDonald's' |
| New! DV 2.0 visit_duration_segmentation * | This column displays the default segmentation of visit duration set for the analyzed Point of Interest (POI). The values within this column may fall into one of the following categories: - 'under_10_min' - '10_min_or_longer' - 'all_visits' These values will be populated by March 31st. Until then, this column will remain empty. | string | 'under_10_min' |
| foottraffic | Estimated foot traffic in the location during the relevant time frame. Foot-traffic is the extrapolated value of visits. Total of: 1 column | long | 5000000 |
| home_distance _estimated_foottraffic_X | The accumulative foot traffic generated by customers who live within 'X' miles of the property. Total of: 14 columns. Each represents a different value of X: 0.3, 0.5, 0.7, 1, 2, 3, 5, 7, 10, 30, 50, 100, 250, 250+ Example: 'home_distance _estimated_foottraffic_50' means the sum of visits generated by customers who live within 50 miles of the property | long | 40000 |
| home_distance _percentage_X | The accumulative percentage of foot traffic generated by customers who live within 'X' miles of the property. Total of: 14 columns. Each represents a different value of X: 0.3, 0.5, 0.7, 1, 2, 3, 5, 7, 10, 30, 50, 100, 250, 250+ Example: 'home_distance _percentage_50' means the percentage of visits generated by customers who live within 50 miles of the property out of the total foot traffic for the defined period. | double | 25.485 |
| work_distance _estimated_foottraffic_X | The accumulative foot traffic generated by customers who work within 'X' miles of the property. Total of: 14 columns. Each represents a different value of X: 0.3, 0.5, 0.7, 1, 2, 3, 5, 7, 10, 30, 50, 100, 250, 250+ Example: 'work_distance _estimated_foottraffic_50' means the sum of visits generated by customers who work within 50 miles of the property | long | 4000 |
| work_distance _percentage_X | The accumulative percentage of foot traffic generated by customers who work within 'X' miles of the property. Total of: 14 columns. Each represents a different value of X: 0.3, 0.5, 0.7, 1, 2, 3, 5, 7, 10, 30, 50, 100, 250, 250+ Example: 'home_distance _percentage_50' means the percentage of visits generated by customers who live within 50 miles of the property out of the total foot traffic for the defined period. | double | 13.35 |
| foottraffic_per_sqft | The number of visits at the property during the relevant time frame by its size (square footage) Not available for billboard-type entities Total of: 1 column | double | 10.91 |
| avg_visits_per_day | Describes the average visitation amount for a single day during the defined period. Total of: 1 column | double | 5984.44 |
| median_visits_per_day | Describes the median visitation amount for a single day during the defined period. Total of: 1 column | double | 6745.23 |
| visits_by_day_of_week_X | Estimated aggregation of foot traffic bucketed by the day of the week. Total of: 7 columns Each represents a different value of X: monday, tuesday, wednesday, thursday, friday, saturday, sunday Example: 'visits_by_day_of_week _sunday' means the number of visits generated by the POI's customers on Sundays for the defined period. | long | 5768 |
| visits_by_hour_of_day_X | Estimated aggregation of foot traffic bucketed by the hours of the day. Total of: 24 columns Each represents an hour of the day. Example: 'visits_by_hour_of_day _02:00_03:00' means the number of visits generated by the POI's customers between 2am and 3am(exclusive). | long | 1245 |
| visits_by_dwell_time_X | Estimated aggregation of foot traffic bucketed by length-of-stay duration ranges. Total of: 10 columns Each represents a range of length-of-stay durations in minutes: 0-5(New! DV 2.0), 5-10(New! DV 2.0), 10-15(New! DV 2.0),15-30, 30-45, 45-60, 60-75, 75-90, 90-105, 105-120, 120-135, 135-150, 150 and more. Example: 'visits_by_dwell_time_90_105' means the number of visits generated by the POI's customers that stayed at the property between 90 to 105(exclusive) minutes. | long | 654 |
| census2019_tta _70pct_50mi_size_sq_mi | The total area in square miles of the analyzed POI's true trade area based on Census2019 considering 70% of the traffic volume within a 50 miles radius Total of: 1 column | float | 1345 |
| avg_dwell_time | The average length of stay in the analyzed POI. Total of: 1 column | double | 15.6 |
| median_dwell_time | The median length of stay in the analyzed POI. Total of: 1 column | double | 16.3 |
| unique_visitors | Estimated unique visitors Total of: 1 column | double | 7000 |
| avg_visits_frequency | The mean number of visits made by visitors to the analyzed POI. Total of: 1 column | double | 2.5 |
| visitors_percent_by_freq_X | Each bin of this metric represents the estimated number of unique visitors that visited the analyzed POI a certain number of times. Total of: 13 column Each represents a different value of X: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 30 or more Example: 'visitors_percent_by_freq _15' means the number of unique visitors percentage to the property within the defined period who visited the property between 10 to 15 times. | double | 0.1234567 |
| census2019_vd _70pct_by_education_X | The demographic (based on Census2019) distribution of the captured market audience older than 25 years(considering 70% of the traffic volume), segmented by education bins. Total of: 5 columns advanced degree, bachelors degree, college or associates degree, high school, elementary Example: 'census2019_vd _70pct_by _education_bachlors_degree' means the audience older than 25 years within the POI's captured market during the defined period identified as having a bachelor's degree. | double | 4032 |
| census2019_vd _70pct_by_ethnicity_X | The demographic (based on Census2019) distribution of the captured market audience (considering 70% of the traffic volume), segmented by ethnicity bins. Total of: 8 columns Each represents a different value of X: white, hispanic_or_latino, black, Asian, multi race, American indian or Alaska, native Hawaiian and other pacific islanders, other Example: 'census2019_vd _70pct_by_ethnicity _asian' means the population within the POI's captured market during the defined period identified as Asian. | double | 1442 |
| census2019_vd _70pct_by_hhi_X | The distribution of the households(based on STI:Popstats 2022) within the captured market audience (considering 70% of the traffic volume), segmented by household income bins. Total of: 16 columns Each represents a different value of X: less_than_10K, 10K_to_15K, 15K_to_20K, 20K_to_25K, 25K_to_30K, 30K_to_35K, 35K_to_40K, 40K_to_45K, 45K_to_50K, 50K_to_60K, 60K_to_75K, 75K_to_100K, 100K_to_125K, 125K_to_150K, 150K_to_200K, more_than_200K Example: 'census2019_vd _70pct_by_hhi _45K_to_50K' means the number of households within the POI's captured market during the defined period identified as having an income between 45K and 50K. | double | 12654 |
| census2019_vd_70pct_avg _hhi | The average household income of the captured market households (considering 70% of the traffic volume). Total of: 1 column | double | 76243.98 |
| census2019_vd_70pct _median_hhi | The median household income of the captured market households (considering 70% of the traffic volume). Total of: 1 column | double | 113777.22 |
| census2019_vd _70pct_by_marital_status_X | The demographic (based on Census2019) distribution of the captured market audience (considering 70% of the traffic volume), segmented by marital status bins. Total of: 4 columns Each represents a different value of X: never married, married, divorced, widowed Example: 'census2019_vd _70pct_by_marital _status_married' means the population within the POI's captured market during the defined period identified as married. | double | 11599 |
| census2019_tta _70pct_50mi_by_age_X | The demographic (based on Census2019) distribution of the population residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius), segmented by age bins. Total of: 18 columns Each represents a different value of X: Less than 5, 5 to 15, 15 to 18, 18 to 22, 22 to 25, 25 to 30, 30 to 35, 35 to 40, 40 to 45, 45 to 50, 50 to 55, 55 to 60, 60 to 65, 65 to 70, 70 to 75, 75 to 80, 80 to 85, 85 or more Example: 'census2019_tta _70pct_50mi_by_age _5_to_15' means the population within the POI's trade area during the defined period between the ages of 5 and 15. | double | 23008 |
| census2019_tta _70pct_50mi_population | The total population within the analyzed POI's true trade area based on Census2019 considering 70% of the traffic volume within a 50 miles radius. Total of: 1 column | double | 30000 |
| census2019_tta _70pct_50mi_by_ethnicity_X | The demographic (based on Census2019) distribution of the population residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius), segmented by ethnicity bins. Total of: 8 columns Each represents a different value of X: white, hispanic_or_latino, black, Asian, multi race, American indian or Alaska, native Hawaiian and other pacific islanders, other Example: 'census2019_tta _70pct_50mi_by_ethnicity _asian' means the population within the POI's trade area during the defined period identified as Asian. | double | 1234 |
| census2019_tta _70pct_50mi_by_education _X | The demographic (based on Census2019) distribution of the population older than 25 years residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius), segmented by education bins. Total of: 5 columns Each represents a different value of X: advanced degree, bachelors degree, college or associates degree, high school, elementary Example: 'census2019_tta _70pct_50mi_by _education_bachlors_degree' means the population older than 25 years within the POI's trade area during the defined period identified as having a bachelor's degree. | double | 4000 |
| census2019_tta _70pct_50mi_by_marital _status_X | The demographic (based on Census2019) distribution of the population residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius), segmented by marital status bins. Total of: 4 columns Each represents a different value of X: never married, married, divorced, widowed Example: 'census2019_tta _70pct_50mi_by_marital _status_married' means the population within the POI's trade area during the defined period identified as married. | double | 12000 |
| census2019_tta _70pct_50mi_avg_hhi | The average household income (based on Census2019) of the households within the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius). Total of: 1 column | double | 3678 |
| census2019_tta _70pct_50mi_median_hhi | The median household income (based on Census2019) of the households within the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius). Total of: 1 column | double | 3443 |
| census2019_potential _ta_70pct_cbg_by_age_X | The demographic (based on Census2019) distribution of the analyzed POI's potential market population (considering the 70% top most visited CBGs), segmented by age bins. Total of: 18 columns Each represents a different value of X: Less than 5, 5 to 15, 15 to 18, 18 to 22, 22 to 25, 25 to 30, 30 to 35, 35 to 40, 40 to 45, 45 to 50, 50 to 55, 55 to 60, 60 to 65, 65 to 70, 70 to 75, 75 to 80, 80 to 85, 85 or more Example: 'census2019_potential _ta_70pct_cbg_by_age _5_to_15' means the population within the POI's potential trade area during the defined period between the ages of 5 and 15. ** Chain level data is available | double | 22768 |
| census2019_potential _ta_70pct_cbg_population | The total population within the analyzed POI's potential market population (considering the 70% top most visited CBGs). Total of: 1 column ** Chain level data is available | double | 19879 |
| census2019_potential_ta _70pct_cbg_by_ethnicity_X | The demographic (based on Census2019) distribution of the analyzed POI's potential market population (considering the 70% top most visited CBGs), segmented by ethnicity bins. Total of: 8 columns Each represents a different value of X: white, hispanicor_latino, black, Asian, multi race, American indian or Alaska, native Hawaiian and other pacific islanders, other Example: 'census2019_potential_ta \70pct_cbg_by_ethnicity _asian' means the population within the POI's potential trade area during the defined period identified as Asian. ** Chain level data is available | double | 1455 |
| census2019_potential_ta _70pct_cbg_by_education_X | The demographic (based on Census2019) distribution of the analyzed POI's potential market population older than 25 years (considering the 70% top most visited CBGs), segmented by education bins. Total of: 5 columns Each represents a different value of X: advanced degree, bachelors degree, college or associates degree, high school, elementary Example: 'census2019potential \ta_70pct_cbg_by _education_bachlors_degree' means the population older than 25 years within the POI's potential trade area during the defined period identified as having a bachelor's degree. ** Chain level data is available | double | 3989 |
| census2019_potential_ta _70pct_cbg_by_marital_status_X | The demographic (based on Census2019) distribution of the analyzed POI's potential market population (considering the 70% top most visited CBGs), segmented by marital status bins. Total of: 4 columns Each represents a different value of X: never married, married, divorced, widowed Example: 'census2019_potential _ta_70pct_cbg_by_marital _status_married' means the population within the POI's potential trade area during the defined period identified as married. ** Chain level data is available | double | 12311 |
| New! census2019_potential_ta _70pct_cbg_avg_hhi | The average household income (based on Census2019) of the analyzed POI's potential market households (considering the 70% top most visited CBGs). Total of: 1 column ** Chain level data is available | double | 4563 |
| New! census2019_potential_ta _70pct_cbg_median_hhi | The median household income (based on Census2019) of the analyzed POI's potential market households (considering the 70% top most visited CBGs). Total of: 1 column ** Chain level data is available | double | 3545 |
| popstats_tta_70pct_50mi _population | The total population within the analyzed POI's true trade area based on STI:Popstats 2022 considering 70% of the traffic volume within a 50 miles radius. Total of: 1 column | double | 29988 |
| popstats_tta_70pct_50mi_by _age_X | The demographic (based on STI:Popstats 2022) distribution of the population residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius), segmented by age bins. Total of: 18 columns Each represents a different value of X: Less than 5, 5 to 14, 14 to 18, 18 to 22, 22 to 25, 25 to 30, 30 to 35, 35 to 40, 40 to 45, 45 to 50, 50 to 55, 55 to 60, 60 to 65, 65 to 70, 70 to 75, 75 to 80, 80 to 85, 85 or more Example: 'popstats_tta _70pct_50mi_by_age _35_to_40' means the population within the POI's trade area during the defined period between the ages of 5 and 14. | double | 2546 |
| popstats_tta _70pct_50mi_by_education_X | The demographic (based on STI:Popstats 2022) distribution of the population older than 25 years residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius), segmented by education bins. Total of: 9 columns Each represents a different value of X: doctorate_degree, professional_degree, masters_degree, bachelors_degree_only, associates_degree_only, some college, some high school, high school, elementary Example: 'popstats_tta _70pct_50mi_by _education_doctorate_degree' means the population older than 25 years within the POI's trade area during the defined period identified as having a doctorate's degree. | double | 2543 |
| popstats_tta _70pct_50mi_by_hhi_X | The distribution of the households(based on STI:Popstats 2022) within the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius), segmented by household income bins(in USD). Total of: 26 columns Each represents a different value of X: less_than_10K, 10K_to_15K, 15K_to_20K, 20K_to_25K, 25K_to_30K, 30K_to_35K, 35K_to_40K, 40K_to_45K, 45K_to_50K, 50K_to_55K, 55K_to_60K, 60K_to_65K, 65K_to_70K, 70K_to_75K, 75K_to_80K, 80K_to_85K, 85K_to_90K, 90K_to_95K, 95K_to_100K, 100K_to_125K, 125K_to_150K, 150K_to_175K, 175K_to_200K, 200K_to_250K, 250K_to_500K, more_than_500K Example: 'popstats_tta _70pct_50mi_by _hh1_45K_to_50K' means the number of households within the POI's trade area during the defined period identified as having an income between 45K and 50K. | double | 231 |
| popstats_tta _70pct_50mi_by_ethnicity_X | The demographic (based on STI:Popstats 2022) distribution of the population residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius), segmented by ethnicity bins. Total of: 5 columns Each represents a different value of X: white, black, Asian, hispanic, other Example: 'popstats_tta _70pct_50mi_by_ethnicity _asian' means the population within the POI's trade area during the defined period identified as Asian. | double | 2234 |
| popstats_tta _70pct_50mi_avg_hhi | The median household income (based on STI:Popstats 2022) of the households within the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius). Total of: 1 column | double | 3123.43 |
| popstats_tta _70pct_50mi_median_hhi | The average household income (based on STI:Popstats 2022) of the households within the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius). Total of: 1 column | double | 3634.52 |
| New! popstats_tta _70pct_50mi_by_household _types_X | The demographic (based on STI:Popstats 2022) distribution of the households within the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius), segmented by household types. Total of: 7 columns Each represents a different value of X: households, one_person_households, married_couple, male_householder, female_householder, non_family_households, households_with_children Example: 'popstats_tta _70pct_50mi_by_household _types_married_couple' means the number of households within the POI's trade area during the defined period identified as married couples. | ||
| popstats_potential_ta _70pct_cbg_population | The total population within the analyzed POI's potential market population (considering the 70% top most visited CBGs). Total of: 1 column ** Chain level data is available | double | 30546 |
| New! popstats_potential_ta _70pct_cbg_by_household_types_X | The demographic (based on STI:Popstats 2022) distribution of the analyzed POI's potential market households (considering the 70% top most visited CBGs), segmented by household types. Total of: 7 columns Each represents a different value of X: households, one_person_households, married_couple, male_householder, female_householder, non_family_households, households_with_children Example: 'popstats_potential_ta _70pct_cbg_by_household _types_married_couple' means the number of households within the POI's potential trade area during the defined period identified as married couples. ** Chain level data is available | ||
| popstats_potential_ta _70pct_cbg_by_age_X | The demographic (based on STI:Popstats 2022) distribution of the analyzed POI's potential market population (considering the 70% top most visited CBGs), segmented by age bins. Total of: 18 columns Each represents a different value of X: Less than 5, 5 to 14, 14 to 18, 18 to 22, 22 to 25, 25 to 30, 30 to 35, 35 to 40, 40 to 45, 45 to 50, 50 to 55, 55 to 60, 60 to 65, 65 to 70, 70 to 75, 75 to 80, 80 to 85, 85 or more Example: 'popstats_potential_ta _70pct_cbg_by_age _35_to_40' means the population within the POI's potential trade area during the defined period between the ages of 5 and 14. ** Chain level data is available | double | 2657 |
| popstats_potential_ta _70pct_cbg_by_education_X | The demographic (based on STI:Popstats 2022) distribution of the analyzed POI's potential market population older than 25 years(considering the 70% top most visited CBGs), segmented by education bins. Total of: 9 columns Each represents a different value of X: doctorate_degree, professional_degree, masters_degree, bachelors_degree_only, associates_degree_only, some college, some high school, high school, elementary Example: 'popstats_potential_ta _70pct_cbg_by _education_doctorate_degree' means the population older than 25 years within the POI's potential trade area during the defined period identified as having a doctorate's degree. ** Chain level data is available | double | 2711 |
| popstats_potential_ta _70pct_cbg_by_hhi_X | The distribution of the households(based on STI:Popstats 2022) within the analyzed POI's potential market population (considering the 70% top most visited CBGs), segmented by household income bins(in USD). Total of: 26 columns Each represents a different value of X: less_than_10K, 10K_to_15K, 15K_to_20K, 20K_to_25K, 25K_to_30K, 30K_to_35K, 35K_to_40K, 40K_to_45K, 45K_to_50K, 50K_to_55K, 55K_to_60K, 60K_to_65K, 65K_to_70K, 70K_to_75K, 75K_to_80K, 80K_to_85K, 85K_to_90K, 90K_to_95K, 95K_to_100K, 100K_to_125K, 125K_to_150K, 150K_to_175K, 175K_to_200K, 200K_to_250K, 250K_to_500K, more_than_500K Example: 'popstats_potential_ta _70pct_cbg_by _hh1_45K_to_50K' means the number of households within the POI's potential trade area during the defined period identified as having an income between 45K and 50K. ** Chain level data is available | double | 260 |
| popstats_potential_ta _70pct_cbg_by_ethnicity_X | The demographic (based on STI:Popstats 2022) distribution of the analyzed POI's potential market population (considering the 70% top most visited CBGs), segmented by ethnicity bins. Total of: 5 columns Each represents a different value of X: white, black, Asian, hispanic, other Example: 'popstats_potential_ta _70pct_cbg_by_ethnicity _asian' means the population within the POI's potential trade area during the defined period identified as Asian. ** Chain level data is available | double | 2145 |
| New! popstats_potential_ta _70pct_cbg_avg_hhi | The average household income (based on STI:Popstats) of the analyzed POI's potential market households (considering the 70% top most visited CBGs). Total of: 1 column ** Chain level data is available | double | 3655 |
| New! popstats_potential_ta _70pct_cbg_median_hhi | The median household income (based on STI:Popstats) of the analyzed POI's potential market households (considering the 70% top most visited CBGs). Total of: 1 column ** Chain level data is available | double | 3433 |
| vd_age_X (Visitors demographics) | The distribution of the analyzed POI's visitors' ages. Total of: 3 columns Each represents a different value of X: Less than 18 to 37, 38 to 51, 52 or more Example: 'vd_age_18_to_37' means the visitors to the property during the defined period between the ages of 18 and 37. * Limited coverage | double | 3000 |
| vd_gender_X (Visitors demographics) | The gender of visitors at the property analyzed is presented as either Male or Female. Total of: 2 columns Each represents a different value of X: famela, male Example: 'vd_gender_female' means the visitors to the property during the defined period identified as female. * Limited coverage | double | 15000 |
| sales | The total dollar value (USD) of all sales generated for the analyzed POI during the defined period. | double | 2324566.25 |
| sales_transactions | The total number of sales transactions, which took place at the analyzed POI during the defined period. | double | 34250 |
| sales_average_ticket_size | The average dollar value per transaction generated at the analyzed POI during the defined period. | double | 22.45 |
| sales_per_sqft | The total dollar value (USD) of sales per sq ft generated at the POI during the defined period. | double | 145.39 |
| category_group_ranking_by _visits_X | This ranking metric presents the ranking of the analyzed POI within its category group based on the number of visits during the defined period. The ranking is given within 4 different regions: - nationwide - state - dma - cbsa For each region 2 measurements are available: category_group_ranking_by _visits_nationwide - represents the actual ranking of the POI within the region category_group_ranking_by _visits_nationwide_total - represents the total number of entities taken into consideration for the ranking within the region(in this example "nationwide") for the specific category group. Total of: 8 columns | int | 35 |
| category_ranking_by _visits_X | This ranking metric presents the ranking of the analyzed POI within its category based on the number of visits during the defined period. The ranking is given within 4 different regions: - nationwide - state - dma - cbsa For each region 2 measurements are available: category_ranking_by_visits _nationwide - represents the actual ranking of the POI within the region. category_ranking_by_visits _nationwide_total - represents the total number of entities taken into consideration for the ranking within the region(in this example "nationwide") for the specific category. Total of: 8 columns | int | 24 |
| chain_ranking_by _visits_X | This ranking metric presents the ranking of the analyzed POI within its chain based on the number of visits during the defined period. The ranking is given within 4 different regions: - nationwide - state - dma - cbsa For each region 2 measurements are available: chain_ranking_by_visits _nationwide - represents the actual ranking of the POI within the region. chain_ranking_by_visits _nationwide_total - represents the total number of entities taken into consideration for the ranking within the region(in this example "nationwide") for the specific chain. Total of: 8 columns | int | 8 |
| category_group_ranking_by _visits_per_sqft_X | This ranking metric presents the ranking of the analyzed POI within its category group based on the number of visits per square feet during the defined period. The ranking is given within 4 different regions: - nationwide - state - dma - cbsa For each region 2 measurements are available: category_group_ranking_by _visits_per_sqft _nationwide - represents the actual ranking of the POI within the region category_group_ranking_by _visits_per_sqft _nationwide_total - represents the total number of entities taken into consideration for the ranking within the region(in this example "nationwide") for the specific category group. Total of: 8 columns | int | 15 |
| category_ranking_by _visits_per_sqft_X | This ranking metric presents the ranking of the analyzed POI within its category based on the number of visits per square feet during the defined period. The ranking is given within 4 different regions: - nationwide - state - dma - cbsa For each region 2 measurements are available: category_ranking_by_visits _per_sqft_nationwide - represents the actual ranking of the POI within the region. category_ranking_by_visits _per_sqft_nationwide_total - represents the total number of entities taken into consideration for the ranking within the region(in this example "nationwide") for the specific category. Total of: 8 columns | int | 33 |
| chain_ranking_by _visits_per_sqft_X | This ranking metric presents the ranking of the analyzed POI within its chain based on the number of visits per square feet during the defined period. The ranking is given within 4 different regions: - nationwide - state - dma - cbsa For each region 2 measurements are available: chain_ranking_by_visits _per_sqft_nationwide - represents the actual ranking of the POI within the region. chain_ranking_by_visits _per_sqft_nationwide_total - represents the total number of entities taken into consideration for the ranking within the region(in this example "nationwide") for the specific chain. Total of: 8 columns | int | 2 |
| category_group_ranking_by _sales_X | This ranking metric presents the ranking of the analyzed POI within its category group based on the total sales during the defined period. The ranking is given within 4 different regions: - nationwide - state - dma - cbsa For each region 2 measurements are available: category_group_ranking_by _sales_nationwide - represents the actual ranking of the POI within the region category_group_ranking_by _sales_nationwide_total - represents the total number of entities taken into consideration for the ranking within the region(in this example "nationwide") for the specific category group. Total of: 8 columns | int | 55 |
| category_ranking_by _sales_X | This ranking metric presents the ranking of the analyzed POI within its category based on the total sales during the defined period. The ranking is given within 4 different regions: - nationwide - state - dma - cbsa For each region 2 measurements are available: category_ranking_by_sales _nationwide - represents the actual ranking of the POI within the region. category_ranking_by_sales _nationwide_total - represents the total number of entities taken into consideration for the ranking within the region(in this example "nationwide") for the specific category. Total of: 8 columns | int | 145 |
| chain_ranking_by _sales_X | This ranking metric presents the ranking of the analyzed POI within its chain based on the total sales during the defined period. The ranking is given within 4 different regions: - nationwide - state - dma - cbsa For each region 2 measurements are available: chain_ranking_by_sales _nationwide - represents the actual ranking of the POI within the region. chain_ranking_by_sales _nationwide_total - represents the total number of entities taken into consideration for the ranking within the region(in this example "nationwide") for the specific chain. Total of: 8 columns | int | 34 |
POI metadata
Please refer to the following page for the POI metadata schema.
Sample files
Sample Premium Export metrics file
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Columns order
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Updated 15 days ago