Brand Sourcing

Easily identify rapidly growing or shrinking retail brands.

Overview

The Brand Sourcing Feed is a customized add-on service delivered by Placer consultants, created to highlight retail chains that experienced visit growth and outpaced their competitors. Looking at foot traffic growth can provide an early indication for the next big brands. Download samples below to show how Placer historically identified hot brands. Request this feed to identify potential retail brands for capital investment and business expansions.

Configuration

Configuration aspectAvailable options descriptions
Data granularityMonthly
File formatCSV (.csv.gz)
CategoriesCustomize the feed with the categories of interest
Feeds time frameThe feed’s timeframe can range from 1-7 years rolling history
Delivery methodsThe feed can be configured to deliver to your email, GCS,S3, or Azure buckets
Delivery ScheduleQuarterly

Deliverables and Schemas

Category Level Summary File

Please refer to the definitions and structure of each metric:

ColumnDescriptionTypeExample
publication_dateData publication dateISO-86012025-02-02
version_codeCalibration version codestring2.1.0
CategoryThe name of the categorystring'QSR'
The group of the categorycategory_groupstring‘Dining’
Data aggregation resolution (rolling quarters)time_framestring'quarterly’
Data start datestart_dateISO-86012023-07-01
Data end dateend_dateISO-86012024-07-01
Number of visits at categoryvisits_current_periodlong500000
Visits from the same period a year agovisits_prev_periodlong456780
Percentage change between visits to visits prev yearyoy_growthfloat3.08%
The standard deviation of the growth year over yearyoy_growth_standard_deviationfloat1.01%
# of locations showing a Placer visit estimate in the category in the current periodnum_of_entities_current_periodlong1209
# of all locations in the category in current period (including locations without an estimate such as indoor ones)number_of_all_entities_current_periodlong14
# of locations in the category a Placer visit estimate in the same period last yearnumber_of_entities_previous_periodlong1199
# of all locations in the category in current period (including locations without an estimate such as indoor ones) in the same period last yearnumber_of_all_entities_previous_periodlong14
YoY growth of number of locations showing a Placer visit estimateentities_showing_visits_yoy_growthfloat14%
YoY growth of all locations (both showing and not showing visits)all_entities_yoy_growthfloat13%
The total estimated visits generated by the set of “same stores” for the category between start and end datessame_store_visitslong47,113,395
The total estimated visits generated by the set of “same stores” in the same data period in the previous yearsame_store_visits_prev_yearlong42,815,765
Same store year over year growth in percentagesame_store_yoy_growthfloat1.65%
The weighted standard deviation of the growth year over year for same storesame_store_yoy_standard_deviationfloat0.80%
The overall number of chains included in the categorynumber_of_chainsint10
The number of chains where growth is +2 std deviation and upnumber_of_chains_with_growth +2_std_dev_or_moreint2
The number of chains where same store growth is +2 std deviation and upnumber_of_chains_with_same_store_growth +2_std _dev_or_moreint3

Top Growing Chains File

Defined as chains growing more than 2 Std Deviation than the category

ColumnDescriptionTypeExample
publication_dateData publication dateISO-86012023-01-01
version_codeCalibration version codestring2.1.0
category_typeThe type of the categorystring‘Primary’
chain_idThe Placer ID of the chainstring'59b03945173f56850478117a'
chain_nameThe name of the chainstring'Mcdonald’s’
time_frameData aggregation resolution (rolling quarters)string'quarterly’
start_dateData start dateISO-86012023-07-01
end_dateData end dateISO-86012023-07-30
visits_current_periodNumber of visits at chain in the current periodlong500000
visits_prev_periodVisits from the same period a year agolong456780
yoy_growthPercentage change in visits between the current period and the same one last yearfloat3.08%
number_of_entities_current_period# of locations in the chain with a Placer visit estimate in the current periodlong12
number_of_all_entities_current_period# of all locations in the chain in current period (including locations without a visit estimate such as indoor ones)long14
number_of_entities_previous_period# of locations in the chain with a Placer visit estimate in the same period last yearlong12
number_of_all_entities_previous_period# of all locations in the chain in the same period last year (including locations without a visit estimate such as indoor ones)long14
entities_yoy_percent_changeYoY change of number of locations showing visitsfloat14%
all_entities_yoy_percent_changeYoY change of all locations (both showing and not showing visits)float13%
same_store_visitsThe total estimated visits generated by the set of “same stores” between start and end dateslong47,113,309
same_store_visits_prev_yearThe total estimated visits generated by the set of “same stores” in the same data period in the previous yearlong42,815,765
same_store_yoy_growthGrowth % of Same Store Visitsfloat1.65%
top_growth_indicator4 options: foot traffic growth, same store growth, both, not in top chainsstring‘Same store growth’
num_months_as_topThe number of months the chain was classified as a top chain (for any growth indicator)long4

What’s Next

Just looking for Same Store Visits? Try our Same Store Metrics feed.