Data granularity

Daily - 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 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

Supported

Supported

Amazon SNS notification

Supported

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 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'

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

long

5000000

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

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

long

40000

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.

double

25.485

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

long

4000

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.

double

13.35

avg_visits_per_day

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

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

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

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.

long

654

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

double

15.6

unique_visitors

Estimated unique visitors

Total of: 1 column

double

7000

median_visits_per_day

Describes the median visitation amount for a single day during the defined period.

Total of: 1 column

double

6745.23

median_dwell_time

The median length of stay in the analyzed POI.

Total of: 1 column

double

16.3

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_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

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_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, hispanic_or_latino, black, Asian, multi race, American indian or Alaska, native Hawaiian and other pacific islanders, other

• *Example: **'census2019potential_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

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

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

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_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

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

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:
female, male

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

double

15000

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

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

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

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

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

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.

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

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_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

mainType

Originating entity type.
Supported values: 'venue', 'complex', 'chain', and 'billboard'.

string

'venue'

mainId

Originating entity Placer ID.

string

'5965fca0173f564b883c222e'