On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Spending Data?
Spending data refers to information that tracks and records the financial transactions and expenditures made by individuals, organizations, or governments. It includes details such as the amount spent, the date of the transaction, the recipient or vendor, and the purpose of the expenditure. This data is crucial for analyzing and managing finances, identifying spending patterns, making informed decisions, and ensuring transparency and accountability in financial activities.
Examples of Spending Data include government budgets, financial statements of companies, and personal expense records. Spending Data is used to analyze and track how money is being allocated and spent, identify trends and patterns, make informed financial decisions, and evaluate the effectiveness of spending. In this page, you’ll find the best data sources for accessing and analyzing Spending Data.
Best Spending Databases & Datasets
Here is our curated selection of top Spending Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records
TagX - Transactions data | Consumer Spending data | Bank Transaction data
Intelligent Event Data | Consumer Spending Data at Events | Seoul, South Korea
GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data
Canadian Consumer Spending Data | All Geographies including Postal Codes | Annual Updates
Envestnet | Yodlee's De-Identified Spending Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
Credit Card Data | Credit Card Spend Data | 20 Countries | Trusted by 600 + Businesses
Prosper: US Signals – Retail Economy & Consumer Spending Forecast
The Data Appeal | Point of Interest (POI) Data | API, Dataset | 200 Million+ POI Data Mapped | Measure Sentiment and Customer Experience
Factori Audience Data| 1.2B unique mobile users in APAC, EU, North America and MENA
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Top Spending Data Providers & Companies
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Envestnet | Yodlee
CoverageUSAEnvestnet® | Yodlee® is a market leader in de-identified consumer spend/income data. We tag thousands of public and private companies to billions of transactions that we capture in near real time (T+1) and make available via feeds or dashboard.15 m+Active usersSince 2011HistoryT+2Latency -
GapMaps
CoverageUSACanada+153VWe use GapMaps’ data offering extensively to identify and approve locations for Anytime Fitness sites across Southeast Asia. This data helps Inspire Brands Asia make informed decisions, ensuring that each new gym location meets our strategic criteria and has the potential for success. The insights from GapMaps enable us to understand market demographics, competition, and accessibility, which are crucial for our expansion plans.
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Huq Industries
CoverageUSAUK+247VHuq’s data is real-time and that makes the data in the TE dashboard even stronger and more valuable. Both local and central government bodies will be able to use it to get a clearer picture of the real economic impacts of Covid-19 across the country. Benjamin Lucas (PhD, FHEA), Managing Director at 3DI
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McGRAW
CoverageUSAUK+248VWe have been working with McGRAW for over two years, and their real estate investment data has been crucial to our marketing efforts. Their excellent customer support and timely insights have greatly improved our campaign effectiveness, leading to multiple property contracts. Thanks to McGRAW, we are confident utilizing their data in our marketing and sales efforts to sell our remaining units. We look forward to continuing our partnership with their data team.
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QuoteWay
CoverageCanadaVWe were seeking customers who were looking to purchase life insurance. Social media and google platforms were used. The leads were converted quite often to clients and were clearly fresh leads. We received the leads in real time. The cost were fair, and there were no hidden fees. The platform was easy to use and navigate. And the lead provider easily integrated their system with our CRM. The speed of delivery of the leads were quite high, and the ad quality matched the expectations of our highly regulated industry.
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Environics Analytics
CoverageCanadaAt Environics Analytics, we have Canada’s largest collection of high-quality, actionable data, and our list of sources and resulting data products is growing. We deliver world class analytical expertise and tools though collaborative and results-oriented approachPrivacyComplient2,000+Clients60Authoritative Databases
Popular Use Cases for Spending Data
Spending Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Spending Data.
Main Attributes of Spending Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 40 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 30 datasets | |
| String | The first name of a contact. | View 26 datasets | |
| String | The last name (surname) of a contact. | View 26 datasets | |
| String | The name of a country. | View 24 datasets | |
| String | The ticker symbol of a stock. | View 24 datasets |
Frequently Asked Questions
How is the Quality of Spending Data Maintained?
The quality of Spending Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Spending Data Updated?
The update frequency for Spending Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Spending Data Secure?
The security of Spending Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Spending Data Delivered?
Spending Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Spending Data.
How Much Does Spending Data Cost?
The cost of Spending Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Spending Data for your needs.
What Are Similar Data Types to Spending Data?
Spending Data is similar to other data types, such as Demographic Data, Geodemographic Data, Census Data, and Wealth Data. These related categories are often used together for applications like Demographic Segmentation.
