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 aggregation	Daily - Available with the metrics explicitly specified and tagged with "Available for daily aggregation". Weekly and Monthly - Available with all the listed metrics within the schema Note: Weekly feeds delivered monthly are delivered with full weeks only. If a week ends on a Tuesday, the data for that week will not be delivered until the full week is in a delivery (i.e. the following month)
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 any period within the last 3 years.
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: Daily:* Delivered each day around 7 am EST Weekly:* Linear metrics only feeds delivered Wednesday; Other feeds delivered each Thursday. Linear metrics are metrics which are linear derivatives of the visits metrics and are the set below indicated by 📅 Available for daily aggregation. Monthly:* Delivered on the 6th of each month
Control Files	Supported. The feed can be configured to support control files, which may assist with validating the expected data. The information within these files includes: 1. The count of entities broken out by entity type (i.e. Chains, Venues, etc) within the folder where the control file is located Note: entity types with a count of 0 entities within a specific folder will not be included in the control file. 2. The total number of records within the folder where the control file is located. 3. The number of files within the folder where the control file is located.
Success File	Supported. This file serves as an indicator of delivery completion. The file is empty and serves only as an indication.
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.

Please refer to the definitions and structure of each metric:

Column	Description	Type	Example
publication_date	Data publication date	ISO-8601	2024-08-01
version_code	Calibration version code	string	2.1.0
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	The regional chain type. 'nationwide', 'state', 'dma' & 'cbsa' are supported. Only available for entities of type 'chain'. Note: CBSA is the union of MSAs & micro-MSAs	string	'state'
region_name	Region's name. Only available for entities of type 'chain.'	string	'California'
region_code	Region's code. Only available for entities of type 'chain.'	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'
visit_duration_segmentation	Displays the visit duration segmentation used for the generation of the raw reported data. The values within this column may fall into one of the following categories: 'under_10_min' '10_min_or_longer' 'all_visits'	string	'under_10_min'

Basic Visit Metrics

The set provides foot traffic data.

Column Description Type Example

Column	Description	Type	Example
foottraffic 📅 Available for daily aggregation `Property` `Chain` `Tag`	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
foottraffic_per_sqft 📅 Available for daily aggregation `Property`	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

foottraffic

📅 Available for daily aggregation

Property Chain Tag

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

foottraffic_per_sqft
📅 Available for daily aggregation
Property

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

Advanced Visit Metrics, Rankings and Same Store Metric Sets

These three sets provides more advanced metrics likevisitor counts, visit frequency data and other statistics beyond basic foot traffic metrics; The Ranking metric set gives you further details about how a specific property is performing in its category or chain. Finally, the same store Metric set let you analyze a chain based on a fixed set of open and unflagged properties.

Column	Description	Type	Example

home_distance_estimated_foottraffic_X 📅 Available for daily aggregation `Property` `Chain` `Tag`	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 📅 Available for daily aggregation `Property` `Chain` `Tag`	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 📅 Available for daily aggregation `Property` `Chain` `Tag`	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 📅 Available for daily aggregation `Property` `Chain` `Tag`	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:**'work_distance_percentage_50' means the percentage of visits generated by customers who work within 50 miles of the property out of the total foot traffic for the defined period.	double	13.35
avg_visits_per_day `Property` `Chain` `Tag`	Describes the average visitation amount for a single day during the defined period. Total of: 1 column	double	5984.44
visits_by_day_of_week_X `Property` `Chain` `Tag`	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 📅 Available for daily aggregation `Property` `Chain` `Tag`	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 📅 Available for daily aggregation `Property` `Chain` `Tag`	Estimated aggregation of foot traffic bucketed by length-of-stay duration ranges. Total of: 13 columns Each represents a range of length-of-stay durations in minutes: 0-5, 5-10, 10-15, 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
avg_dwell_time 📅 Available for daily aggregation `Property` `Chain` `Tag`	Describes the average visit length of stay in minutes during the defined period in the analyzed POI. Total of: 1 column	double	15.6
unique_visitors `Property` `Chain`	Estimated unique visitors Total of: 1 column	double	7000
median_visits_per_day `Property` `Chain`	Describes the median visitation amount for a single day during the defined period. Total of: 1 column	long	6745
median_dwell_time `Property` `Chain`	The median length of stay in the analyzed POI. Total of: 1 column	double	16.3
avg_visits_frequency `Property` `Chain`	The mean number of visits made by visitors to the analyzed POI. Total of: 1 column	double	2.5
visitors_percent_by_freq_X `Property` `Chain`	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
Ranking Metric Set
category_group_ranking_by_visits_X `Property`	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 `Property`	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 `Property`	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 `Property`	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 `Property`	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
Same Store Metrics Set
same_store_visits `Chain`	The total estimated visits generated by the set of “same stores” between start and end dates	long	471133095
same_store_visits_prev_year `Chain`	The total estimated visits generated by the set of “same stores” in the same data period in the previous year	long	428157654
same_store_yoy_pct_change `Chain`	The % difference generated by the set of “same stores” between start and end dates, and the same data period in the previous year	float	10.0372937
same_store_count `Chain`	The number of entities included in the same store subset for this month/week	int	1200

Demographics

Placer offers demographics associated with a location or chain's True Trade Area.

Census Potential Trade Area

This set provides demographic information based on Census ACS 2024 dataset for the potential trade area of a property or a chain.

Column	Description	Type	Example
census_potential_by_ethnicity_X `Property` `Chain`	The demographic (based on Census ACS dataset) 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, hispanic_or_latino, black, Asian, multi race, American indian or Alaska, native Hawaiian and other pacific islanders, other Example: *'census_potential_by_ethnicity asian' means the population within the POI's potential trade area during the defined period identified as Asian.	double	1455
census_potential_by_education_X `Property` `Chain`	The demographic (based on Census ACS dataset) 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: *'census_potential_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.	double	3989
census_potential_by_marital_status_X `Property` `Chain`	The demographic (based on Census ACS dataset) 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: *'census_potential_by_marital_status married' means the population within the POI's potential trade area during the defined period identified as married.	double	12311
census_potential_avg_hhi `Property` `Chain`	The average household income (based on Census ACS dataset) of the analyzed POI's potential market households (considering the 70% top most visited CBGs). Total of: 1 column	double	4563
census_potential_median_hhi `Property` `Chain`	The median household income (based on Census ACS dataset) of the analyzed POI's potential market households (considering the 70% top most visited CBGs). Total of: 1 column	double	3545
census_potential_by_age_X `Property` `Chain`	The demographic (based on Census ACS dataset) 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: *'census_potential_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.	double	22768
census_potential_by_gender_X `Property` `Chain`	The demographic (based on Census ACS dataset) distribution of the analyzed POI's potential market population (considering the 70% top most visited CBGs), segmented by gender bins. Total of: 2 columns Each represents a different value of X: male or female Example: *'census_potential_by_gender female' means the population within the POI's potential trade area during the defined period identified as female.	double	10453
census_potential_population `Property` `Chain`	The total population within the analyzed POI's potential market population (considering the 70% top most visited CBGs). Total of: 1 column	double	19879

Census Captured Trade Area

This set provides demographic information based on Census ACS 2024 dataset within the captured trade area (based on actual visits) of a property or a chain.

Column	Description	Type	Example
census_captured_by_education_X `Property` `Chain`	The demographic (based on Census ACS dataset) 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: *'census_captured_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
census_captured_by_ethnicity_X `Property` `Chain`	The demographic (based on Census ACS dataset) 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: *'census_captured_by_ethnicity asian' means the population within the POI's captured market during the defined period identified as Asian.	double	1442
census_captured_by_hhi_X `Property` `Chain`	The distribution of the households (based on Census ACS dataset) 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: *'census_captured_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
census_captured_avg_hhi `Property` `Chain`	The average household income (based on Census 2023 dataset) within the captured market audience (considering 70% of the traffic volume). Total of: 1 column	double	76243.98
census_captured_median_hhi `Property` `Chain`	The median household income (based on Census ACS dataset) within the captured market audience (considering 70% of the traffic volume). Total of: 1 column	double	113777.22
census_captured_by_marital_status_X `Property` `Chain`	The demographic (based on Census ACS dataset) 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: 'census_captured_by_marital_status married' means the population within the POI's captured market during the defined period identified as married.	double	11599

Popstats Potential Trade Area

This set provides demographic information based on STI:Popstats 2025 dataset for the potential trade area of a property or a chain.

Column	Description	Type	Example
popstats_potential_population `Property` `Chain`	The total population (based on STI:Popstats) within the analyzed POI's potential market population (considering the 70% top most visited CBGs). Total of: 1 column	double	30546
popstats_potential_by_household_types_X `Property` `Chain`	The demographic (based on STI:Popstats) distribution of the analyzed POI's potential market households (considering the 70% top most visited CBGs), segmented by household types. Total of: 6 columns Each represents a different value of X: one_person_households, married_couple, male_householder, female_householder, non_family_households, households_with_children Example: *'popstats_potential_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.
popstats_potential_by_age_X `Property` `Chain`	The demographic (based on STI:Popstats) 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_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.	double	2657
popstats_potential_by_education_X `Property` `Chain`	The demographic (based on STI:Popstats) 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_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.	double	2711
popstats_potential_by_hhi_X `Property` `Chain`	The distribution of the households (based on STI:Popstats) 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_by_hhi 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.	double	260
popstats_potential_by_ethnicity_X `Property` `Chain`	The demographic (based on STI:Popstats) 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_by_ethnicity asian' means the population within the POI's potential trade area during the defined period identified as Asian.	double	2145
popstats_potential_avg_hhi `Property` `Chain`	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	double	3655
popstats_potential_median_hhi `Property` `Chain`	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	double	3433

Popstats Captured Trade Area

This set provides demographic information based on STI:Popstats 2025 dataset within the captured trade area (based on actual visits) of a property or a chain.

Column	Description	Type	Example
popstats_captured_by_household_types_X `Property` `Chain`	The demographic (based on STI:Popstats 2024) distribution of the analyzed POI's captured 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_captured_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_captured_by_education_X `Property` `Chain`	The demographic (based on STI:Popstats 2024) distribution of the analyzed POI's captured 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_captured_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_captured_by_hhi_X `Property` `Chain`	The distribution of the households (based on STI:Popstats 2024) within the analyzed POI's captured 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_captured_by_hhi 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_captured_by_ethnicity_X `Property` `Chain`	The demographic (based on STI:Popstats 2024) distribution of the analyzed POI's captured 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_captured_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
popstats_captured_avg_hhi `Property` `Chain`	The average household income (based on STI:Popstats 2024) of the analyzed POI's captured market households (considering the 70% top most visited CBGs). Total of: 1 column Chain level data is available	double	3655
popstats_captured_median_hhi `Property` `Chain`	The median household income (based on STI:Popstats 2024) of the analyzed POI's captured market households (considering the 70% top most visited CBGs). Total of: 1 column Chain level data is available	double	3433

Retail Sales

Available to Retail Sales customers, this metric set provides sales estimates and traffic counts for POIs. Note Retail Sales is only available weekly and monthly if being delivered to Snowflake.

Column	Description	Type	Example
sales 📅 Available for daily aggregation `Property`	The total dollar value (USD) of all sales generated for the analyzed POI during the defined period.	double	2324566.25
sales_transactions 📅 Available for daily aggregation `Property`	The total number of sales transactions, which took place at the analyzed POI during the defined period.	double	34250
sales_average_ticket_size 📅 Available for daily aggregation `Property`	The average dollar value per transaction generated at the analyzed POI during the defined period.	double	22.45
sales_per_sqft 📅 Available for daily aggregation `Property`	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_sales_X 📅 Available for daily aggregation `Property`	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 📅 Available for daily aggregation `Property`	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 📅 Available for daily aggregation `Property`	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.

Metadata for Tags

Customers that request a metadata file for feeds that contain tags (i.e. the feed's entity list is defined using tags) will receive a tags_entities_mapping.csv file to supplement their analysis toolkit.

The tag-entities mapping file helps to bridge the relationship between tags and the entities they contain, offering a clear data structure that enhances the traceability and usability of the delivered tag-based data.

The metadata file includes the following schema:

Column	Description	Type	Example
tag_id	The identifier of the tag.	string	'636371ee42a729232a6b755e'
tag_name	The name of the tag.	string	'My Tag'
entity_id	The identifier of the entity associated with the tag.	string	'5965fca0173f564b883c222e'
entity_type	The type of entity (i.e. venue, complex, chain or billboard) associated with the tag.	string	'venue'

This file helps for efficient correlation feed entities with the originating tags, enabling streamlined data validation, filtering, and analysis.

Sample files

Sample Premium Export (CSV file)

📘
Grow and expand
Follow our announcements regarding additional attributes (metadata) and metrics.
New metadata attributes will be announced and delivered to you once released.
Please contact your customer support manager to receive new/additional metrics as part of your feed.

🚧
Columns order
Please be aware that the order of columns may change slightly due to the continuous addition of data to the export and its associated metadata.

👍
Privacy comes first
Placer is a privacy-first company, and like all our products this feed conforms to our privacy policy as described in our Trust Center. In situations where the content of this feed conflicts with our privacy policy, the conflicting data points will be redacted from the files.