Commerce Data | Aggregated Transaction Data | Consumer Purchase Data product image in hero

Commerce Data | Aggregated Transaction Data | Consumer Purchase Data

SafeGraph
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raw_total_spend
raw_num_transactions
raw_num_customers
placekey
median_spend_per_transaction
median_spend_per_customer
spend_per_ transaction_percentiles
spend_by_day
spend_per_transaction_by_day
spend_by_day_of_week
spend_pct_change_ vs_prev_month
spend_pct_change_ vs_prev_year
online_transactions
online_spend
transaction_intermediary
spend_by_ transaction_intermediary
bucketed_customer_frequency
mean_spend_per_customer_ by_frequency
bucketed_customer_incomes
mean_spend_per_customer_ by_income
customer_home_city
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Request Data Sample
Volume
400K
POI
Data Quality
100%
fill rates
Avail. Format
.csv
File
Coverage
1
Country
History
2
years

Data Dictionary

Product Attributes
Attribute Type Example Mapping
String ["Target"] Brand Name
raw_total_spend
76050.12
raw_num_transactions
1521
raw_num_customers
435
placekey
[email protected]
String ["SG_BRAND_59dcabd7cd2395a2"] Brand ID
median_spend_per_transaction
50.00
median_spend_per_customer
174.83
spend_per_ transaction_percentiles
{“25”: 23.11, “75”: 80.99}
spend_by_day
[2535.34, 5214.11, … ]
spend_per_transaction_by_day
[20.33, 70.22, … ]
spend_by_day_of_week
{“Monday”: 10864.11, “Tuesday”: 15200.10, … }
spend_pct_change_ vs_prev_month
5
spend_pct_change_ vs_prev_year
-10
online_transactions
310
online_spend
7512.22
transaction_intermediary
{“No Intermediary”: 900, "Apple Pay": 215, "DoorDash": 15...
spend_by_ transaction_intermediary
{“No Intermediary”: 10400.12, "Apple Pay": 2015.00, "Door...
bucketed_customer_frequency
{ "1": 500, "2": 302, "3": 101, "4": 20, "5-10": 90, ">10...
mean_spend_per_customer_ by_frequency
{ "1": 10000.10, "2": 31000.32, "3": 999.01, "4": 200, "5...
bucketed_customer_incomes
{“<25k”: 135, “25-45k”: 225, “45-60k”: 500, “60-75k”: 252...
mean_spend_per_customer_ by_income
{“<25k”: 1700.10, “25-45k”: 2221.51, “45-60k”: 5000.00, “...
customer_home_city
{“Palo Alto, CA”: 22, “Redwood City, CA”: 308, “Mountain ...

Description

SafeGraph Spend is an aggregated commerce dataset of consumer purchase data containing spending behavior at individual points of interest. This dataset includes transaction data at individual POIs in the US based on aggregated debit card and credit card transactions.
Dataset contains more than 400K POI, focusing on consumer purchase behavior data and transaction data at major brands and chains. Samples/Tables Included POI information and consumer data: -Location name -Address -Category -Total spend -Number of transactions -Number of unique customers Additional Information: All SafeGraph POI-based datasets utilize Placekey as the primary key and are formatted as delimited CSVs. SafeGraph updates the Spend dataset every month with the past month's openings and closings and maintains a persistent Placekey across releases. Our detailed SafeGraph Spend Schema(1) is available online. Additionally please refer to Places Data Manual(2) for more detailed field definitions and methodologies. Our Places Summary Statistics(3) is updated with every monthly release to reflect data coverage. Data Dictionary Our documentation site includes detailed information for all of our products, but this product listing specifically only includes the Spend data set. (1) Spend Schema: https://docs.safegraph.com/docs/spend (2) Places Data Manual: https://docs.safegraph.com/docs/places-manual (3) Places Summary Statistics: https://docs.safegraph.com/docs/places-summary-statistics Example Use Case: Correlations with Quarterly Revenue - When rolled up to the parent brand, SafeGraph Spend data can be compared against financial indicators of companies (eg. quarterly revenue). SafeGraph uses such tests as a benchmark even though the use cases of Spend are far more varied than aggregating by brand. Based on one such analysis, SafeGraph data track with quarterly revenue from major brands like McDonald's, Chipotle, and Target, including cases where companies report online sales separately than overall revenue (e.g., Chipotle).

Geography

North America (1)
United States of America

History

2 years of historical data

Volume

1,100 Brands
400,000 POI

Pricing

Free sample available
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License
$100,000 / year
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
fill rates

Delivery

Methods
S3 Bucket
UI Export
REST API
Frequency
monthly
Format
.csv

Use Cases

Categories

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Frequently asked questions

What is Commerce Data Aggregated Transaction Data Consumer Purchase Data?

SafeGraph Spend is an aggregated commerce dataset of consumer purchase data containing spending behavior at individual points of interest. This dataset includes transaction data at individual POIs in the US based on aggregated debit card and credit card transactions.

What is Commerce Data Aggregated Transaction Data Consumer Purchase Data used for?

This product has 5 key use cases. SafeGraph recommends using the data for Consumer Trend Analysis, Consumer Profiling, Consumer Intelligence, Consumer Data Enrichment, and Transaction Data Enrichment. Global businesses and organizations buy Consumer Purchase Data from SafeGraph to fuel their analytics and enrichment.

Who can use Commerce Data Aggregated Transaction Data Consumer Purchase Data?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Purchase Data. Get in touch with SafeGraph to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Commerce Data Aggregated Transaction Data Consumer Purchase Data go?

This Tabular Data has 2 years of historical coverage. It can be delivered on a monthly basis.

Which countries does Commerce Data Aggregated Transaction Data Consumer Purchase Data cover?

This product includes data covering 1 country like USA. SafeGraph is headquartered in United States of America.

How much does Commerce Data Aggregated Transaction Data Consumer Purchase Data cost?

Pricing for Commerce Data Aggregated Transaction Data Consumer Purchase Data starts at USD100,000 per year. Connect with SafeGraph to get a quote and arrange custom pricing models based on your data requirements.

How can I get Commerce Data Aggregated Transaction Data Consumer Purchase Data?

Businesses can buy Consumer Purchase Data from SafeGraph and get the data via S3 Bucket, UI Export, and REST API. Depending on your data requirements and subscription budget, SafeGraph can deliver this product in .csv format.

What is the data quality of Commerce Data Aggregated Transaction Data Consumer Purchase Data?

SafeGraph has reported that this product has the following quality and accuracy assurances: 100% fill rates. You can compare and assess the data quality of SafeGraph using Datarade’s data marketplace. SafeGraph has received 17 reviews from clients. SafeGraph appears on selected Datarade top lists ranking the best data providers, including Best Data Providers For Location-Based Marketing and Top 10 POI Data Providers & APIs.

What are similar products to Commerce Data Aggregated Transaction Data Consumer Purchase Data?

This Tabular Data has 3 related products. These alternatives include Fable Data Aggregated European Consumer Transaction Dataset, 90 West Data - US Consumer Credit Card / Debit Card / Transaction Data - Retail Panel, and Facteus Transaction Data - US Consumer Payments - Enterprise (synthetic). You can compare the best Consumer Purchase Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$100,000 / year
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License
$100,000 / year
Usage-based Not available
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