What is Consumer Sentiment Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Consumer Sentiment Data?
Consumer sentiment data refers to information that measures the attitudes, opinions, and expectations of consumers regarding the overall state of the economy and their personal financial situation. It is typically collected through surveys and questionnaires, and provides insights into consumer confidence, spending patterns, and future economic behavior. This data is widely used by businesses, policymakers, and economists to gauge the health of the economy and make informed decisions.
Best Consumer Sentiment Databases & Datasets
Here is our curated selection of top Consumer Sentiment 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.
Consumer Sentiment Data | Global Audience Insights | Psychographic Profiles & Trends | Best Price Guaranteed
Consumer Marketing Data | Unique Consumer Sentiment Data: Transcription of the calls to the companies
Segmentation Data| North America | Detailed Insights on Consumer Attitudes and Behaviours | Consumer Behaviour Data | Consumer Sentiment Data
LATAM & Mexico Consumer Sentiment Data | Consumer Trend Prediction & Analysis | 100% First Party Data
RIWI Global Consumer Sentiment Data in all 220 countries in the world
Dataplex: Google Reviews & Ratings Dataset | Track Consumer Sentiment & Location-Based Insights
Grepsr | Sentiment Analysis of Facebook/Twitter/Instagram posts, News, Product Reviews | Custom and On-demand Sentiment Analysis
Success.ai | Intent Data | 15k Topics for Keyword, Sentiment, and Web Activity data – Best Price Guarantee
Global Consumer Review Data | Transcription Data| Unique Consumer Sentiment Data: Transcription of the calls to the companies
Global Insurance Data | Analyze Insurance Trends, Consumer Behaviors and Demographic Segmentation
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Top Consumer Sentiment Data Providers & Companies
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WiserBrand.com
CoverageUSAUK+248VOur company, Eqman, engaged with Wiser Brand for their consumer data services, particularly focused on anonymized consumer behavior data. At first glance, Wiser Brand seemed like a reliable partner for gaining valuable insights into consumer trends and preferences. However, our experience revealed several concerns. Wiser Brand provided anonymized data as promised, but the quality of this data was inconsistent. We often encountered gaps in key information, which hindered our ability to make informed decisions. Additionally, the frequency of data updates was slower than expected, impacting our real-time analysis. One of the major issues was the transparency of their data sourcing. While they assured us that the data was anonymized and compliant with privacy regulations, their explanations lacked detail. This raised doubts about the ethical standards behind their operations, which is a critical factor for any business handling sensitive consumer information. In conclusion, while Wiser Brand offers a unique product in anonymized consumer data, the inconsistencies in data quality and transparency issues made the experience less than satisfactory. We would recommend proceeding with caution when considering them as a data provider.
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Sky Packets
CoverageUSAMexico+3Sky Packets provides high-quality datasets from WiFi and mobile networks in urban areas. We serve municipalities, business districts, and commercial properties with insights into foot traffic, network usage, and consumer behavior. Headquartered in the U.S., we offer flexible data access models.CCPACompliant100%WiFi users are opt in5 MillionUnique mobile users -
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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TagX
CoverageUSAUK+248VWe requested data in the form of various forms and documents associated with Tax and Bookkeeping that we plan to use to developing a digital document processing solution based on artificial intelligence.
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Rwazi
CoverageUSAUK+248Rwazi provides real-time consumer and retail data across 190+ countries through a hyper-local market intelligence platform. Using AI and 1.5M+ consumers, it delivers zero-party data with granular insights into demand, pricing, and competition, empowering brands with predictive analytics for growth.190+Countries1.5MConsumers4.6MRetail Outlets -
Success.ai
CoverageUSAUK+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
Popular Use Cases for Consumer Sentiment Data
Consumer Sentiment 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 Consumer Sentiment Data.
Main Attributes of Consumer Sentiment 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 10 datasets | |
| String | The name of a country. | View 10 datasets | |
| String | The name of a brand. | View 8 datasets | |
| String | A hashed email address with algorithms like SHA, MD5, etc. | View 7 datasets | |
| String | The name of a city. | View 6 datasets | |
| String | The official website of a company. | View 6 datasets |
Frequently Asked Questions
How is the Quality of Consumer Sentiment Data Maintained?
The quality of Consumer Sentiment 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 Sentiment Data Updated?
The update frequency for Consumer Sentiment 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 Sentiment Data Secure?
The security of Consumer Sentiment 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 Sentiment Data Delivered?
Consumer Sentiment 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 Sentiment Data.
How Much Does Consumer Sentiment Data Cost?
The cost of Consumer Sentiment 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 Sentiment Data for your needs.
What Are Similar Data Types to Consumer Sentiment Data?
Consumer Sentiment Data is similar to other data types, such as Interest Data, Psychographic Data, Consumer Donation Data, and Customer Sentiment Data. These related categories are often used together for applications like Consumer Intelligence and Sentiment Analysis.
