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 aspectAvailable options descriptions
Data granularityWeekly, Monthly, and Yearly
File formatsCSV and PARQUET
RegionsThe following regions can be selected for the different regional chains:
- Nationwide
- State
- DMA
- CBSA
Feeds time frameThe feed can be set to start at any desired start date ( most earlier can be set to 1.1.2017) till the latest data date.
Delivery methodsAll supported delivery methods for data feeds are available for this new export as well (see Delivery Details)
Delivery ScheduleHere is the delivery scheduling for each of the available feeds:
Weekly: Delivered each Wednesday
Monthly: Delivered on the 6th of each month
Control filesSupported
Success fileSupported
Amazon SNS notificationSupported

Deliverables and Schemas

Metrics

Please refer to the definitions and structure of each metric:

ColumnDescriptionTypeExample
publication_dateData publication dateISO-86012023-01-01
version_codeCalibration version codestring1.0.0
idPlacer's entity IDstring'5965fca0173f564b883c222e'
nameEntity namestring'McDonald's'
typeEntity type. See Location Info for a full list of supported types.string'venue'
time_frameData aggregation resolution. Supported values: 'weekly' and 'monthly'.string'monthly'
start_dateData start date.ISO-86012018-04-15
end_dateData end date (inclusive)ISO-86012018-04-15
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_nameRegion's namestring'California'
region_codeRegion's codestring'CA'
latThe entity's latitude.
Only available for entities of type 'venue' or 'complex
double37.786099
lngThe entity's longitude.
Only available for entities of type 'venue' or 'complex
double-121.46352
ticker_symbolThe stock exchange ticker symbolstring'MCD'
company_nameIf available, the parent company chain name.string'McDonald's'
foottraffic Estimated foot traffic in the location during the relevant time frame. Foot-traffic is the extrapolated value of visits.

Total of: 1 column
long5000000
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
long40000
home_distance
_percentage_X
The 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.
double25.485
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
long4000
work_distance
_percentage_X
The 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.
double13.35
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
double10.91
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.
long5768
visits_by_hour_of_day_XEstimated 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).
long1245
visits_by_dwell_time_XEstimated 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:
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.
long654
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
float1345
avg_dwell_timeThe average length of stay in the analyzed POI.

Total of: 1 column
double15.6
median_dwell_timeThe median length of stay in the analyzed POI.

Total of: 1 column
double16.3
unique_visitorsEstimated unique visitors

Total of: 1 column
double7000
avg_visits_frequencyThe mean number of visits made by visitors to the analyzed POI.

Total of: 1 column
double2.5
visitors_percent_by_freq_XEach 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.
double0.1234567
census2019_vd
_70pct_50mi_by_education_X
The demographic (based on Census2019) distribution of the captured market audience (considering 70% of the traffic volume within a 50 miles radius), segmented by education bins.

Total of: 5 columns
advanced degree, bachelors degree, college or associates degree, high school, elementary

Example: 'census2019_vd
_70pct_50mi_by
_education_bachlors_degree' means the population within the POI's potential market during the defined period identified as having a bachelor's degree.
double4032
census2019_vd
_70pct_50mi_by_ethnicity_X
The demographic (based on Census2019) distribution of the captured market audience (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_vd
_70pct_50mi_by_ethnicity
_asian' means the population within the POI's captured market during the defined period identified as Asian.
double1442
census2019_vd
_70pct_50mi_by_hhi_X
The demographic (based on Census2019) distribution of the captured market audience (considering 70% of the traffic volume within a 50 miles radius), 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_50mi_by
_hhi_45K_to_50K' means the population within the POI's captured market during the defined period identified as having an income between 45K and 50K.
double12654
census2019_vd
_70pct_50mi_by_marital_status_X
The demographic (based on Census2019) distribution of the captured market audience (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_vd
_70pct_50mi_by_marital
_status_married' means the population within the POI's captured market during the defined period identified as married.
double11599
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.
double23008
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
double30000
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.
double1234
census2019_tta
_70pct_50mi_by_education
_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 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 within the POI's trade area during the defined period identified as having a bachelor's degree.
double4000
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.
double12000
popstats_tta_70pct_50mi_populationThe 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
double29988
popstats_tta_70pct_50mi_by_age_XThe 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.
double2546
popstats_tta
_70pct_50mi_by_education_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 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 within the POI's trade area during the defined period identified as having a doctorate's degree.
double2543
popstats_tta
_70pct_50mi_by_hhi_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 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 population within the POI's trade area during the defined period identified as having an income between 45K and 50K.
double231
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.
double2234
census2019_tta
_70pct_50mi_avg_hhi
The average household income (based on Census2019) of the population residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius).

Total of: 1 column
double4563
census2019_tta
_70pct_50mi_median_hhi
The median household income (based on Census2019) of the population residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius).

Total of: 1 column
double3545
popstats_tta
_70pct_50mi_median_hhi
The median household income (based on STI:Popstats 2022) of the population residing in the analyzed POI's true trade area (considering 70% of the traffic volume within a 50 miles radius).

Total of: 1 column
double3123
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.
double3000
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.
double15000
salesThe total dollar value (USD) of all sales generated for the analyzed POI during the defined period.double2324566.25
sales_transactionsThe total number of sales transactions, which took place at the analyzed POI during the defined period.double34250
sales_average_ticket_sizeThe average dollar value per transaction generated at the analyzed POI during the defined period.double22.45
sales_per_sqftThe total dollar value (USD) of sales per sq ft generated at the POI during the defined period.double145.39

POI metadata

Please refer to the following page for the POI metadata schema.

Sample files

Sample Premium Export metrics file

Sample metadata file

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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.

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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.

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Privacy comes first

Placer is a privacy-first company, and like all our product this feed conforms to our privacy policy as is 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.