Industry Trends

Industry Trends provide insights into the overall trend of specific retail categories by regions. It is especially useful for evaluating the COVID-19 recovery.

This feed is reflecting the Industry Trends section's data available now in the Placer.ai platform.

Files Delivery

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Product optimization
Kindly be aware that this feed is optimized to mirror the latest compilation of chains available in Placer’s Chains Catalog on the UI platform. Consequently, the list of chains forming the foundation of the feed may undergo occasional updates and expansions.

Once enabled, files will be uploaded to your cloud bucket (AWS/GCS) or SFTP server (see Delivery Details for further details) once a week or month (based on your configuration).
Files will be located under this path:
/placer_industry_trends/export/analytics/industry_trends_vm/[weekly/monthly]/
- upload date, example: 2022-03-22
Each delivery includes a CSV file for each year (2018, 2019, 2020, 2021) of the industry-trend data for that year. The CSV Schema is detailed below.
In addition to the industry-trend data, a Chain-Coverage file is provided with each delivery.
Each file is GZip compressed

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Data Retention and Usage
Placer's algorithms and data constantly improve, therefore we include all the history in every export. We strongly suggest not to use data provided in old exports with new ones to avoid data anomalies.

Schema - Industry-Trends Data

Each row represents aggregated trend data of a for a defined aggregation time frame, Region and Category.
Supported aggregation time frames: Weekly and Monthly.
Supported Regions: Nationwide, State, DMA and CBSA (MSA).
Supported Categories such as Clothing, Electronics store, etc. as explained n the Venue Categories.

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Categories may be updated
Note that every once in a while Placer may update the categories based on customer feedback. In these cases, feed customer will be given a 2 weeks notice in advance.

Field	Description	Type	Example
region_type	Included types: 'Nationwide', 'State', 'DMA' & 'CBSA' are supported	String	DMA
region_name	Region's name	string	DMA, 662 - Abilene-Sweetwater, TX
region_code	Region's code	string	662
category	Industry Category	string	Clothing, Electronics store
start_date	Data start date	YYYY-MM-DD	2020-01-06
end_date	Data end date (inclusive)	YYYY-MM-DD	2020-01-12
category_foottraffic	The category's total estimated foot-traffic	number	2528
category_foottraffic_previous_year	The category's total estimated foot-traffic for the previous year	number	8973
category_foottraffic_previous_week OR category_foottraffic_previous_month	The category's total estimated foot-traffic for the previous week	number
yoy_weekly_change OR yoy_monthly_change	Year over year weekly change in percenatge	percentage	0.81
wow_change OR mom_change	Week over week change in percentage	percentage	-0.49
category_group	Business domains	string	Apparel, Electronics
industry_id	Identification of the specific industry	string

Schema - Chain Coverage

Each export folder will include a chain-coverage file, used for:

Understanding which Chains are included in each Category.
Evaluating the current venue level coverage (compared to the official number) of each chain.

Column	Description	Type	Example
id	Placer's Chain ID	string	'59ae96a9173f562d3c355488'
name	Chain name	string	'Dick's Sporting Goods'
category	Chain Category	string	'Apparel'
sub_category	Chain Sub-category	string	'Sporting Goods Shop'
coverage	Placer's coverage compare to the official number of venues	percent	0.9
category_group	Business domains	string	Apparel, Electronics

Sample

Use the following files to review the delivery format structure.
The actual delivery will include more data (more history/industries/regions).
Link to Sample file