What is Consumer Spending Data? Examples, Providers & Datasets to Buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Consumer Spending Data?
Consumer spending data refers to information about how individuals and households allocate their financial resources across various goods and services. This type of data provides insights into consumer behavior, preferences, and economic trends, helping businesses, governments, and researchers understand spending patterns and forecast future demand. It’s very similar to other datasets that are about Consumer Transaction Data.
What Are Examples of Consumer Spending Data?
Consumer spending data includes various types of information that show purchasing habits. Key examples are:
- Consumer Spending Transactions Data: Insights into bank and card transactions, including amounts, merchants, and categories, to analyze spending patterns.
- Consumer Purchase Data: Specific details on items bought, volume, and timing, aiding in targeted marketing and product demand forecasting.
- Demographic Data: Breakdown of spending behavior based on age, income, education level, and geographic location for tailored segmentation strategies.
- Aggregated Consumer Data: De-identified and aggregated data across large consumer bases, providing macro-level insights for market analysis while ensuring privacy compliance.
- Audience Purchase Behavior Data: Insights into consumer behavior segmented by industry, channel, and merchant type, ideal for creating B2C audience profiles.
- Historical Spending Data: Trends and patterns over time, allowing businesses to compare past and present consumer behaviors and predict future changes.
Best Consumer Spending Databases & Datasets
A consumer spending dataset might include millions of de-identified transactions from credit and debit cards, showcasing spending trends across thousands of merchants. For example, such a dataset could reveal:
- Changes in spending patterns at a major retailer over time.
- Regional variations in consumer preferences for specific product categories, such as higher spending on travel in urban areas versus rural locations.
- The impact of seasonal events, like holiday shopping spikes, on transaction volumes and ticket sizes.
TagX - Transactions data | Consumer Spending data | Bank Transaction data
Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records
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 USA Consumer Spending Data (De-Identified) | Row/Aggregate Level | Consumer Data covering 3600+ public and private corporations
MBI Geodata - Consumer Spending Data in the EU (42 countries covered)
Prosper: US Signals – Retail Economy & Consumer Spending Forecast
Consumer Marketing Data API | Tailored Consumer Insights | Target with Precision | Best Price Guarantee
Unacast Consumer Data Enrichment
Consumer Behavior Data | US Online Consumer Behavior Database
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Top Consumer Spending Data Providers & Companies
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Measurable AI
CoverageUSAUK+248- Largest e-receipts panel for emerging markets: Asia, Latin America, Middle East, Turkey, and India - SKU level high definition transactional data that is anonymized and available in granular or aggregated form on a weekly basis - We own our datasets with strict privacy measures in placeGDPR/CCPACompliantSourceOwn consumer appsCoverageEmerging Markets -
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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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 -
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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Consumer Edge
CoverageUSAUK+248Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Transaction data, scanner data, web data, and email receipt data spans dozens of industries, hundreds of companies, and global geographies to empower strategic decision-making.100M+Credit & Debit Cards30K+Public & Private Brands700+Parent Companies -
Versium
CoverageUSACUsing Versium REACH has allowed us to easily and cost-effectively activate our CRM and ICP data. Versium REACH allows us to activate our data over our preferred media channels giving us the ability to compound frequency with our audiences.
Popular Use Cases for Consumer Spending Data
Consumer spending data has many applications across industries. Common use cases include:
- Retail and E-commerce: Adjusting inventory and marketing strategies based on purchasing trends.
- Financial Services: Evaluating creditworthiness and creating personalized financial products.
- Government and Policy Making: Assessing economic health and creating policies to stimulate growth.
- CPG and FMCG Industries: Managing supply chains and understanding product demand effectively.
- Travel and Hospitality: Recognizing consumer preferences for travel and leisure activities.
- Pricing Strategy: Developing competitive pricing models by analyzing spending behaviors and preferences.
Main Attributes of Consumer Spending Data
Consumer spending data often includes the following attributes:
- Transaction Amount: The monetary value of purchases across various categories.
- Categories: Detailed classifications of spending, such as groceries, travel, or dining.
- Demographics: Characteristics of consumers, including age, gender, income levels, and household size.
- Frequency of Purchases: Insights into how often consumers make specific types of transactions.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The first name of a contact. | View 16 datasets | |
| String | The last name (surname) of a contact. | View 16 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 14 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 14 datasets | |
| String | The name of a location. | View 14 datasets | |
| String | The name of a country. | View 11 datasets |
How Is Consumer Spending Data Collected?
Consumer spending data is collected through various sources, including:
- Transaction records: Data from credit card purchases, bank statements, and e-commerce transactions.
- Surveys and panels: Information directly collected from consumers about their spending habits and preferences.
- Mobile and web tracking: Data from mobile apps and websites that monitor user behavior and spending trends.
- Public and private datasets: Aggregated data from government reports, financial institutions, and market research firms.
- Providers of consumer spending data ensure that their data is anonymized and follows privacy regulations to protect individual consumer identities.
Why Is Consumer Spending Data Important?
Consumer spending data is vital for business decisions and economic analysis. Reasons for its importance include:
- Market Forecasting: Understanding spending trends helps businesses predict future demand and adjust production. By analyzing Consumer Data, companies can anticipate shifts in purchasing behavior.
- Personalized Marketing: Insights into consumer behavior enable businesses to create targeted advertising campaigns, supported by Audience Data.
- Economic Health Indicators: Consumer spending reflects economic activity and is a leading indicator of growth. Datasets like Consumer Demographic Data provide a clearer view of market conditions.
- Risk Management: Businesses use spending data to evaluate market risks and opportunities, reducing potential losses.
Consumer Spending Trends
Tracking consumer spending trends helps businesses stay relevant. Key trends include:
- Sustainability: Rising demand for eco-friendly and sustainable products.
- Digital Purchases: Growing preference for online shopping and digital payment methods, reflected in Customer Experience Data.
- Regional Variations: Spending habits differ by region due to cultural and economic factors.
Frequently Asked Questions
How is the Quality of Consumer Spending Data Maintained?
The quality of Consumer 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 Consumer Spending Data Updated?
The update frequency for Consumer 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 Consumer Spending Data Secure?
The security of Consumer 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 Consumer Spending Data Delivered?
Consumer 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 Consumer Spending Data.
How Much Does Consumer Spending Data Cost?
The cost of Consumer 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 Consumer Spending Data for your needs.
What Are Similar Data Types to Consumer Spending Data?
Consumer Spending Data is similar to other data types, such as Consumer Behavior Data, Audience Data, Panel Survey Data, CPG Data, and Consumer Purchase Data. These related categories are often used together for applications like Pricing Strategy.
