What is Customer Feedback Data? Examples, Datasets and Providers

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Eugenio Caterino
Editor & Data Industry Expert
Customer feedback data provides insights into customer opinions and experiences, useful for improving products and services. This page features a guide and top customer feedback data providers.

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • Guide
  • FAQ

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • Guide
  • FAQ

What is Customer Feedback Data?

Customer feedback data refers to the information collected from customers regarding their experiences and opinions about a product, service, or brand. This data is gathered through various methods such as surveys, reviews, social media comments, and direct interactions with customer service. By analyzing customer feedback data, businesses can gain insights into customer satisfaction and identify areas for improvement.

What are Examples of Customer Feedback Data?

Examples of customer feedback data include survey responses, product reviews, social media comments, and feedback received through customer service channels.

Best Customer Feedback Databases & Datasets

Here is our curated selection of top Customer Feedback 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.

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Top Customer Feedback Data Providers & Companies

Main Attributes of Customer Feedback 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
Company Name String The name of a company or business, might be the legal or brand name. View 9 datasets
Contact First Name String The first name of a contact. View 6 datasets
Contact Last Name String The last name (surname) of a contact. View 6 datasets
Product Rating String The rating of a product. View 6 datasets
City Name String The name of a city. View 5 datasets
Company Employee Count String The approx. number of employees working for a company. View 5 datasets

Customer Feedback Data Attributes

  • Survey Responses: Quantitative and qualitative data collected from structured questionnaires.
  • Review Ratings: Scores and comments from product or service reviews.
  • Social Media Mentions: Customer opinions and discussions on social media platforms.
  • Customer Service Feedback: Comments and ratings from customer service interactions.

How is Customer Feedback Data Collected?

Customer feedback data is collected through various channels, including:

  • Online surveys
  • Feedback forms
  • Social media monitoring
  • Direct customer interactions

Businesses use feedback management systems and CRM tools to gather and analyze this data. Additionally, sentiment analysis and text analytics tools can be employed to extract insights from unstructured feedback.

Why is Customer Feedback Data Important?

Customer feedback data is crucial because it provides a direct line to customer thoughts and opinions. It allows businesses to identify strengths and weaknesses in their offerings and make data-driven decisions to improve customer satisfaction.

Customer Feedback Data Use Cases

  • Product Improvement: Using feedback to enhance product features and address issues.
  • Customer Satisfaction Measurement: Tracking customer satisfaction levels over time.
  • Service Enhancement: Identifying areas for improvement in customer service delivery.
  • Loyalty Program Design: Creating reward programs based on customer preferences and feedback.

Frequently Asked Questions

Where Can I Buy Customer Feedback Data?

You can explore our data marketplace to find a variety of Customer Feedback Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.

How is the Quality of Customer Feedback Data Maintained?

The quality of Customer Feedback 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 Customer Feedback Data Updated?

The update frequency for Customer Feedback 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 Customer Feedback Data Secure?

The security of Customer Feedback 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 Customer Feedback Data Delivered?

Customer Feedback 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 Customer Feedback Data.

How Much Does Customer Feedback Data Cost?

The cost of Customer Feedback 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 Customer Feedback Data for your needs.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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