What is Customer Sentiment Data? Examples, Datasets and Providers

Customer sentiment data measures feelings toward brands or services, aiding customer experience management. Here, you’ll find a guide to selected providers of customer sentiment data, with options to review datasets and compare their offerings.
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Eugenio Caterino
Editor & Data Industry Expert

What is Customer Sentiment Data?

Customer sentiment data refers to the information that reflects customers’ feelings and opinions about a brand, product, or service. This data is gathered through various channels such as social media, customer reviews, feedback forms, and surveys. By analyzing customer sentiment data, businesses can gain insights into customer satisfaction, brand perception, and areas for improvement.

What are Examples of Customer Sentiment Data?

Examples of customer sentiment data include positive, negative, and neutral feedback from social media posts, online reviews, survey responses, and customer service interactions. This data helps businesses understand how customers feel about their offerings and identify trends or issues that need addressing.

Best Customer Sentiment Datasets & APIs

4.9(2)

TagX Ecommerce Reviews data | Customer sentiment Analysis | Customer feedback data | Ecommerce data

by TagX
Available for 72 countries
100M reviews
3 years of historical data
100% match rate
Starts at
$200$180 / month
Free sample preview
10% Datarade discount
5.0(3)

The Data Appeal | Sentiment Data | API, Dataset | 200 Million+ POI Data Mapped | Monitor Customer Sentiment and Satisfaction by Points of Interest

Available for 249 countries
320 Billion Pieces of Online Content Analyzed Each Day
4 years of historical data
80% match rate
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
5.0(1)
Starts at
€2,612 / purchase
Free sample preview
5.0(2)
Starts at
$3$2.85 / row
Free sample preview
5% Datarade discount
Starts at
$7 / 10,000 records
Free sample preview
5.0(3)

The Data Appeal | Business Listings Data | API, Dataset | 200 Millions POI Data Mapped | Evaluate Customer Experience & Sentiment

Available for 249 countries
320 Billion Pieces of Online Content Analyzed Each Day
4 years of historical data
80% match rate
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
5.0(2)
Starts at
$0.15$0.14 / 1 row
Free sample preview
5% Datarade discount
Pricing available upon request
Free sample preview
5.0(3)

The Data Appeal | Map Data | API, Dataset | 200 Million + POI Data Mapped | Evaluate Customer Experience and Sentiment

Available for 249 countries
320 Billion Pieces of Online Content Analyzed Each Day
4 years of historical data
80% match rate
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
5.0(2)
Starts at
$0.10$0.10 / row
Free sample preview
5% Datarade discount

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Customer Sentiment Data Attributes

  • Sentiment Scores: Quantitative analysis indicating positive, negative, or neutral sentiment.
  • Emotion Detection: Analysis of emotions expressed in customer feedback.
  • Topic Analysis: Identifying key themes and topics in customer discussions.
  • Feedback Trends: Patterns and changes in customer sentiment over time.

How is Customer Sentiment Data Collected?

Customer sentiment data is collected using:

These tools analyze text from social media, reviews, and surveys to determine sentiment scores. Additionally, businesses can use customer feedback platforms and CRM systems to gather sentiment data from direct customer interactions and feedback.

Why is Customer Sentiment Data Important?

Customer sentiment data provides a direct insight into how customers perceive a brand and its offerings. By understanding customer sentiment, businesses can make informed decisions to improve customer experiences, enhance products or services, and address any negative perceptions. Positive sentiment is linked to customer loyalty and brand advocacy, while negative sentiment can highlight areas that need improvement.

Customer Sentiment Data Use Cases

  • Brand Reputation Management: Monitoring and responding to customer feedback to maintain a positive brand image.
  • Product Development: Using sentiment analysis to gather insights for product improvements or new features.
  • Marketing Campaigns: Crafting targeted marketing strategies based on customer opinions and emotions.
  • Customer Service Improvement: Identifying common issues and improving service responses based on sentiment data.
  • Competitive Analysis: Comparing customer sentiment across competitors to identify strengths and weaknesses.
  • Overview
  • Datasets
  • Guide