Retail Domain Data Products
Browse branch and ATM locations and features of major banks in North America
- Big Five Canadian Banks Branch and ATM Locations and Features
"Big Five" Canadian retail banks (BMO, CIBC, RBC, Scotiabank, TD Canada Trust) branch and ATM locations and features dataStarting From $2450BECOME A SUBSCRIBER
- Major US Banks Branch and ATM Locations and Features
Large American retail banks (JP Morgan Chase, US Bank, Bank of America, Wells Fargo, Citibank, TD Bank) branch and ATM locations and features dataStarting From $2950BECOME A SUBSCRIBER
- Canadian Credit Unions: Branch and ATM Locations and Features
The Canadian Credit Union Association (240+ credit unions) branch and ATM locations and features dataStarting From $1950BECOME A SUBSCRIBER
- Largest 100 Canadian Credit Unions in CCUA
Top-100 Canadian Credit Unions in CCUA by asset size, reported semi-annually since Q4 2014For Pricing Contact UsBECOME A SUBSCRIBER
- MoneyPass ATM Locations and Features
This data product provides all MoneyPass ATM locations and features for around 27,000 locationsStarting From $1450BECOME A SUBSCRIBER
- Branch & ATM Locations and Features of Banks in North America
250+ North American banks' branch & ATM locations and features (US & Canada)For Pricing Contact UsBECOME A SUBSCRIBER
- Canadian Banks: Branch and ATM Locations and Features
Canadian retail and commercial banks branch and ATM locations and features dataFor Pricing Contact UsBECOME A SUBSCRIBER
Questions & Answers
What is Retail Data?
There is a tremendous amount of retail data available in the world that comes in many different shapes and forms. It includes any facts or numbers that can be collected and curated about retail businesses which can be used to make business decisions. Common types of retail data include point of sales data, loyalty card data, market data, point of interest data (location) and retail attributes data. Much retail data is proprietary and kept strictly internal and not available for mass usage such as point of sales data, loyalty card data, etc.
Retail data helps create a broad picture of a retail business’ health and areas of opportunity for improvement. In essence, retail data is used to help businesses make better choices, run businesses more efficiently and deliver improved customer service solutions.
Who uses Retail Data? What are some use cases?
Retail data can be used for many different purposes and by many different business functions. Commercial Leasing Experts may wish to understand the retail landscape in a particular trade area to determine where there is opportunity to grow a new product category, Retail Managers may wish to understand the impact of marketing campaigns on sales, and Location Planning Experts may use retail data to understand the competition and optimize a store/franchise network.
Many retailers use retail data to analyze and identify customer trends and changing preferences by combining data from different areas. By merging point of sale data with demographic data businesses can identify emerging trends driving appropriate marketing and product offerings.
Another big benefit of retail data is to help companies optimize their inventory or procurement; businesses can use historical data and trend analysis to determine which products they should order, and in what quantities rather than relying exclusively on past orders.
The location of a retail store is one of the most important factors in the success or failure of that store. The right retail data can provide the necessary information to allow a retailer to evaluate market expansion opportunities by comparing market share.
What are typical Retail Data attributes?
- Contact Information
- Sales Volume Category
- Number of Employees Categories
- Square Footage
- Services and Features Offered
- Product Category
- Hours of Operation
- Parent Company
- Primary and Secondary Contact Information
- SIC/NAICS codes (primary and secondary)
- Website URL
How is Retail Data typically collected?
Retail Data is available through Business Annual Reports, public websites, directory listings, census surveys and independent surveys.
ALTADATA collects and curates retail data from these sources and reports it in a standardized form with daily and weekly updates.
What are the common challenges when buying Retail Data?
Retailers today produce more data than ever before, but his massive amount of data does not always convert into successful solutions. As information and competition continue to increase and evolve, it becomes more difficult to translate information into unique insights that drive business growth. The accuracy and completeness of retail data can be questionable with holes and gaps in the data.
ALTADATA's objective is to sift through this mountain of data, to fill in the holes and gaps, and to provide data sets that contain the key drivers for actionable analytics. ALTADATA's goal is to provide reliable curated retail data with daily or weekly updates at a very reasonable price.