Product Sales Performance – offline product image in hero

Product Sales Performance – offline

Grips Intelligence
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#
date
title
adress
revenueUSD
priceUSD
brand
url
breadcrumbs
storeId
zip
city
lat
lng
state
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Avail. Formats
.bin, .json, and .xml
File
Coverage
250
Countries
History
2
years

Data Dictionary

[Sample] Grips_Petsmart_Offline_Sales.csv
Attribute Type Example Mapping
date
String 12-Jan-25
title
String SportDOG Brand Contain + Train System
adress
String 920 NE Sam Walton Lane
revenueUSD
Float 11279.76
priceUSD
Float 469.99
brand
String SportDOG
url
String https://www.petsmart.com/dog/crates-gates-and-containment...
breadcrumbs
String Dog > Crates, Gates & Containment > Fence Systems > Sport...
storeId
Integer 3081
zip
Integer 64086
city
String LEES SUMMIT
lat
Float 38.9275785
lng
Float -94.3610933
state
String MO

Description

Grips Product Sales Performance -- Offline data delivers visibility into daily product sales, with metrics such as revenue, units sold, and pricing for offline retail channels. This data is further refined to include granular insights at the store level, offering a localized view of performance. Grips’ product data process methodology involves integrating with retailer inventory APIs, allowing real-time access to product availability, pricing, and sales across every location. Our analysis focuses on stock levels, restocking patterns, and daily inventory changes to deliver precise, actionable insights. By meticulously cleaning, formatting, and classifying the data, we ensure accurate online and offline SKU-level sales reporting, empowering businesses with the tools to make data-driven decisions. Grips has been a trusted alternative data provider since 2015. Our data is utilized by top-tier strategy consultancies, five of the ten largest hedge funds by AUM, major retailers like Walmart, smaller D2C brands, and esteemed research institutions such as the World Bank, Columbia University, and the University of California, Los Angeles. The store and ticker coverage of the dataset is constantly growing, so please contact us for more information on any particular stores or stock tickers you are interested in. Use cases Earnings predictions and company screening By analyzing daily sales trends, product profitability, and inventory turnover, you can derive insights into revenue growth and operational efficiency. This granular approach allows for more precise earnings predictions and helps identify companies with strong financial performance. Expand into New Categories Discover top-selling products in new categories and gain insights into competitor SKUs, sales trends, and consumer demand. Use data-driven strategies to confidently expand your product offerings and capture new market opportunities. Launch New Products Uncover market gaps and consumer demand with our SKU-level insights. Analyze competitor sales to identify opportunities for new product launches. Make data-driven decisions to introduce products that meet customer needs and drive growth in your category. Optimize Product Properties Refine product attributes like color, size, material, and specs using our detailed SKU-level insights. See which features drive competitor sales, and optimize your offerings to match consumer preferences, boost appeal, and increase conversions in your category. ​​Sample Table Contained in Listing: PetSmart offline sales: data includes daily information such as store details (address, city, state, full address, zip, storeId), product specifics (brand, GTIN, variant title, title), and sales performance (price, revenue, items sold). Additional data points include location coordinates (latitude, longitude) and breadcrumbs for product category.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

2 years of historical data

Pricing

Grips Intelligence has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Email
UI Export
REST API
Frequency
daily
Format
.bin
.json
.xml
.csv
.xls
.sql
.txt

Use Cases

Categories

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Frequently asked questions

What is Product Sales Performance – offline?

Grips Product Sales Performance – Offline data delivers visibility into daily product sales, with metrics such as revenue, units sold, and pricing for offline retail channels. This data is further refined to include granular insights at the store level, offering a localized view of performance.

What is Product Sales Performance – offline used for?

This product has 5 key use cases. Grips Intelligence recommends using the data for Product Research, Ecommerce Analysis, Ecommerce Intelligence, Financial Intelligence, and Product Data Enrichment. Global businesses and organizations buy Product Data from Grips Intelligence to fuel their analytics and enrichment.

Who can use Product Sales Performance – offline?

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

How far back does the data in Product Sales Performance – offline go?

This product has 2 years of historical coverage. It can be delivered on a daily basis.

Which countries does Product Sales Performance – offline cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Grips Intelligence is headquartered in Germany.

How much does Product Sales Performance – offline cost?

Pricing information for Product Sales Performance – offline is available by getting in contact with Grips Intelligence. Connect with Grips Intelligence to get a quote and arrange custom pricing models based on your data requirements.

How can I get Product Sales Performance – offline?

Businesses can buy Product Data from Grips Intelligence and get the data via S3 Bucket, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Grips Intelligence can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of Product Sales Performance – offline?

You can compare and assess the data quality of Grips Intelligence using Datarade’s data marketplace. Grips Intelligence appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? September Edition.

What are similar products to Product Sales Performance – offline?

This product has 3 related products. These alternatives include Product Sales Performance – online, Ecommerce Data & Ecommerce Product Data Global Digital Shelf Data Unlimited Free Data Points Track Competitors & Best Sellers GDPR Compliant, and Walmart Data Ecommerce Data Ecommerce Product Data Walmart API Walmart Product Datasets Easy to Integrate 50% Cost Saving Free Sample. You can compare the best Product Data providers and products via Datarade’s data marketplace and get the right data for your use case.