What is Brand Sentiment Data?
Brand sentiment data is analysis and measurement of public opinion and emotions towards a particular brand or product. It involves collecting and analyzing data from various sources, such as social media, customer reviews, and surveys, to determine the overall sentiment (positive, negative, or neutral) associated with a brand. This data provides valuable insights into customer perception, satisfaction, and brand reputation, helping businesses make informed decisions and improve their marketing strategies.
Examples of Brand Sentiment Data include social media mentions, customer reviews, and survey responses. Brand Sentiment Data is used to analyze and understand the overall perception and sentiment towards a brand or product. It helps businesses gauge customer satisfaction, identify areas for improvement, and make data-driven decisions to enhance their brand reputation. In this page, you’ll find the best data sources for gathering Brand Sentiment Data.
Best Brand Sentiment Datasets & APIs
Scorri| Web activity data with brands, product sentiment analysis|share of voice| brand health| Transaction data| Global|Online Offline Brand Data
TagX Ecommerce Reviews data | Customer sentiment Analysis | Customer feedback data | Ecommerce data
Bright Data | Reddit Ticker-Mapped Sentiment Data
ViralMoment’s Reddit Company/Brand Name Mention and Sentiment
NewsCatcher: News Data for Marketing Research | Brand Sentiment Analysis | NLP Enrichment | B2B Market | Company News | Event Detection | Insurance
Webz.io | Brand Data | News API | 300K+ news sites | 3.5M+ daily news articles | 170+ languages | Sentiment Analysis | 1000s of Jurisdictions
SemanticForce’s Reddit Brand/Company/Product/Person Mention and Sentiment
SocialSift Consumer Data US | Brand Sentiment Data | Demographic Data | Social Media Audience Data | Powerful Consumer Segmentation | Data Enrichment
WiserBrand | Consumer Marketing Data | Unique Consumer Sentiment Data: Transcription of the calls to the companies
