Premium Export - Legacy

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 granularityDaily - Available with the metrics explicitly specified and tagged with "Available for daily aggregation". Daily feed is available on a chain level only.
Weekly and Monthly - Available with all the listed metrics within the schema
File formatsCSV and PARQUET
RegionsThe following regions can be selected for the different regional chains:

- Nationwide
- State
- DMA
- CBSA
Feeds time frameThe feed's timeframe can be configured to commence from January 2017 or any later date.
Delivery methodsPlease refer to the following Delivery Details for all supported Premium export feed delivery options.
Delivery ScheduleHere is the delivery scheduling for each of the available feeds:
Weekly: Delivered each Thursday
Monthly: Delivered on the 6th of each month
Control filesSupported
Success fileSupported
Amazon SNS notificationSupported

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:

ColumnDescriptionTypeExample
publication_dateData publication dateISO-86012023-01-01
version_codeCalibration version codestring2.0.0
idPlacer's entity IDstring'5965fca0173f564b883c222e'
nameEntity namestring'McDonald's'
typeEntity type.
Supported entity types: 'venue', 'complex', 'chain', and 'billboard'.
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'
New! DV 2.0
visit_duration_segmentation
This column 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'

Visit Metrics

The set provides foot traffic data, breakdowns by time of day, day of week, and dwell times, as well as distance metrics to home and work locations.

ColumnDescriptionTypeExample
foottraffic

📅 Available for daily aggregation
Estimated foot traffic in the location during the relevant time frame.
Foot-traffic is the extrapolated value of visits.

Total of: 1 column
long5000000
foottraffic_per_sqftThe 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
home_distance_estimated_foottraffic_X

📅 Available for daily aggregation
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

📅 Available for daily aggregation
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.
double25.485
work_distance_estimated_foottraffic_X

📅 Available for daily aggregation
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

📅 Available for daily aggregation
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.
double13.35
avg_visits_per_dayDescribes the average visitation amount for a single day during the defined period.

Total of: 1 column
double5984.44
visits_by_day_of_week_XEstimated 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_X

📅 Available for daily aggregation
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).
long1245
visits_by_dwell_time_X

📅 Available for daily aggregation
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(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.
long654
avg_dwell_time

📅 Available for daily aggregation
Describes the average visit length of stay in minutes during the defined period in the analyzed POI.

Total of: 1 column
double15.6

Advanced Visit Metrics

This set provides visitor counts, visit frequency data and other statistics beyond basic foot traffic metrics.

ColumnDescriptionTypeExample
unique_visitorsEstimated unique visitors

Total of: 1 column
double7000
median_visits_per_dayDescribes the median visitation amount for a single day during the defined period.

Total of: 1 column
double6745.23
median_dwell_timeThe median length of stay in the analyzed POI.

Total of: 1 column
double16.3
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

Census Trade Area Potential (Polygon Based)

This set provides demographic information based on 2019 census data based on the potential trade area for a POI or chain.

ColumnDescriptionTypeExample
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
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_populationThe 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_XThe 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_XThe 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.
double4000
census2019_tta_70pct_50mi_by_marital_status_XThe 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
census2019_tta_70pct_50mi_avg_hhiThe 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
double3678
census2019_tta_70pct_50mi_median_hhiThe 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
double3443

Census Trade Area Potential (Weighted-CBGs)

ColumnDescriptionTypeExample
census2019_potential_ta_70pct_cbg_by_ethnicity_XThe 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
double1455
census2019_potential_ta_70pct_cbg_by_education_XThe 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
double3989
census2019_potential_ta_70pct_cbg_by_marital_status_XThe 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
double12311
census2019_potential_ta_70pct_cbg_avg_hhiThe 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
double4563
census2019_potential_ta_70pct_cbg_median_hhiThe 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
double3545
census2019_potential_ta_70pct_cbg_by_age_XThe 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
double22768
census2019_potential_ta_70pct_cbg_populationThe 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
double19879

Census Trade Area Captured (Weighted-CBGs)

This set provides demographic information based on 2019 census data based on actual visits to the POI or chain.

ColumnDescriptionTypeExample
census2019_vd_70pct_by_education_XThe 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.
double4032
census2019_vd_70pct_by_ethnicity_XThe 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.
double1442
census2019_vd_70pct_by_hhi_XThe 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.
double12654
census2019_vd_70pct_avg_hhiThe average household income of the captured market households (considering 70% of the traffic volume).

Total of: 1 column
double76243.98
census2019_vd_70pct_median_hhiThe median household income of the captured market households (considering 70% of the traffic volume).

Total of: 1 column
double113777.22
census2019_vd_70pct_by_marital_status_XThe 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.
double11599
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:
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
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:
female, male

Example: 'vd_gender_female' means the visitors to the property during the defined period identified as female.

* Limited coverage
double15000

Popstats Potential Market (Weighted-CBGs)

Provides demographic information based on STI Popstats based on the Potential Trade Area for a POI or chain.

ColumnDescriptionTypeExample
popstats_potential_ta_70pct_cbg_populationThe 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
double30546
popstats_potential_ta_70pct_cbg_by_household_types_XThe 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_XThe 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
double2657
popstats_potential_ta_70pct_cbg_by_education_XThe 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
double2711
popstats_potential_ta_70pct_cbg_by_hhi_XThe 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
double260
popstats_potential_ta_70pct_cbg_by_ethnicity_XThe 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
double2145
popstats_potential_ta_70pct_cbg_avg_hhiThe 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
double3655
popstats_potential_ta_70pct_cbg_median_hhiThe 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
double3433

Popstats Potential Market (Polygon-based)

ColumnDescriptionTypeExample
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_XThe 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.
double2543
popstats_tta_70pct_50mi_by_hhi_XThe 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.
double231
popstats_tta_70pct_50mi_by_ethnicity_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 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
popstats_tta_70pct_50mi_avg_hhiThe 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
double3123.43
popstats_tta_70pct_50mi_median_hhiThe 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
double3634.52
popstats_tta_70pct_50mi_by_household_types_XThe 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.

Ranking

Uses visits and visits/sq foot to rank POIs within chains, categories and category groups.

ColumnDescriptionTypeExample
category_group_ranking_by_visits_XThis 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
int35
category_ranking_by_visits_XThis 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
int24
chain_ranking_by_visits_XThis 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
int8
category_group_ranking_by_visits_per_sqft_XThis 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
int15
category_ranking_by_visits_per_sqft_XThis 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
int33
chain_ranking_by_visits_per_sqft_XThis 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
int2

Retail Sales

Available to Retail Sales customers, this metric set provides sales estimates and traffic counts for POIs.

ColumnDescriptionTypeExample
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
category_group_ranking_by_sales_XThis 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
int55
category_ranking_by_sales_XThis 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
int145
chain_ranking_by_sales_XThis 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
int34

Deprecated Columns


ColumnDescriptionTypeExample
mainTypeOriginating entity type.
Supported values: 'venue', 'complex', 'chain', and 'billboard'.
string'venue'
mainIdOriginating entity Placer ID.string'5965fca0173f564b883c222e'

These deprecated fields provided additional context as to why a line was included in the report. If a venue was explicitly included, its ID and type will be noted. If the venue was included as part of a chain, the chain details will be included.

Important: These fields should not be used for any new integration, and are only provided to assist during a transition period and will be removed in future versions.


POI metadata

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

Sample files

Sample Premium Export (zip file including metrics and metadata files)


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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.