What is Customer Experience Data? Examples, Datasets and Providers
On This Page:
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
What is Customer Experience Data?
Customer experience data is the information gathered from customer interactions and feedback across various touchpoints throughout the customer journey. This data includes metrics such as customer satisfaction scores, feedback from surveys, customer service interactions, online reviews, and behavioral analytics. Businesses use this data to understand customer needs, preferences, and pain points, helping them to improve their products, services, and overall customer experience.
What are Examples of Customer Experience Data?
Examples of customer experience data include customer satisfaction scores from surveys, feedback from online reviews, interaction data from customer service channels, and behavioral data from website analytics. This data is used to measure customer loyalty, identify areas for improvement, and personalize customer interactions.
Best Customer Experience Databases & Datasets
Here is our curated selection of top Customer Experience 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.
Customer Feedback Data | Customer Experience Data | 140K+ companies | 5M+ reviews from PissedConsumer
The Data Appeal | Customer Experience Data | API & Dataset | 251 POI Mapped | 180+ countries | GDPR-Compliant | Historical Data Since 2019
Customer Feedback Data | Customer Experience Data | Reasons of the calls from consumers to companies
The Data Appeal | Business Listings Data | API, Dataset | 200 Millions POI Data Mapped | Evaluate Customer Experience & Sentiment
B2B Contact Data | Email & Phone Contact Data for B2B | API/Custom flatfile | 170M+ Profiles - Best Price Guarantee
Grepsr | Nordstrom Store Address, Contact Information, Rating |Global Coverage with Custom and On-demand Datasets
Hotel Rates & Pricing Data | One Stop Destination For All Hospitality, Travel & Tourism Data | Tourism Data | Free Customized Data Sample Available
Global Telemarketing Data | 90M+ Accurate Mobile Numbers | API | Bi-Weekly Updates
DR Congo Export Import Direct Customs Detailed Database
Factori AI & ML Training Data | Consumer Data | USA | Machine Learning Data
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Top Customer Experience Data Providers & Companies
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WiserBrand.com
CoverageUSAUK+61VOur 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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The Data Appeal Company
CoverageUSAUK+247VThe Data Appeal Company is a helpful partner. Their AI-driven datasets provide a comprehensive global view across industries. Their data fuels informed decisions and optimizes performance. It's a quietly powerful tool for businesses looking to stay ahead, offering a seamless customer experience and unmatched reliability. In a nutshell, it's the edge you need without the fanfare. Highly recommended for those serious about staying competitive. A solid 5 stars.
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Dataplex
CoverageUSAUK+248Dataplex Consulting & Data Products offers top-notch, turnkey data products, making data easily accessible for any business. Our data pipelines feature automatic quality checks and active monitoring, ensuring timely, clean, and high-quality data designed for seamless ingestion.50B+ RowsComprehensive DatasetsClassifyAI EnrichedFrom 2007+Historical
Main Attributes of Customer Experience 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 101 datasets | |
| String | The name of a country. | View 95 datasets | |
| String | The first name of a contact. | View 88 datasets | |
| String | The last name (surname) of a contact. | View 88 datasets | |
| String | The official website of a company. | View 86 datasets | |
| String | The industry classification of a company. | View 83 datasets |
Customer Experience Data Attributes
- Customer Satisfaction Scores: Quantitative data collected from surveys and feedback forms.
- Behavioral Analytics: Data from customer interactions on websites and apps.
- Customer Feedback: Qualitative data from reviews, testimonials, and direct feedback.
- Service Interactions: Data from customer service calls, chats, and emails.
How is Customer Experience Data Collected?
Customer experience data is collected through various methods, including:
- Surveys
- Feedback forms
- Online reviews
- Analytics tools
Businesses use customer relationship management (CRM) systems, social media listening tools, and web analytics platforms to gather data. Additionally, direct interactions through customer service channels provide valuable qualitative data that can be analyzed for insights into customer experience.
Why is Customer Experience Data Important?
Customer experience data is crucial because it provides insights into how customers perceive a brand and its products or services. By analyzing this data, businesses can:
- Identify strengths and weaknesses in their customer interactions
- Make data-driven decisions to improve customer satisfaction and loyalty
Improved customer experiences can lead to increased customer retention, higher conversion rates, and positive brand reputation.
Customer Experience Data Use Cases
- Personalization: Tailoring products, services, and marketing efforts based on customer preferences and behavior.
- Improving Customer Service: Identifying common issues and training staff to handle them effectively.
- Product Development: Using feedback to innovate and improve product offerings.
- Market Segmentation: Understanding different customer segments to target them with specific strategies.
- Customer Retention: Implementing loyalty programs and strategies based on customer satisfaction data.
Frequently Asked Questions
How is the Quality of Customer Experience Data Maintained?
The quality of Customer Experience 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 Experience Data Updated?
The update frequency for Customer Experience 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 Experience Data Secure?
The security of Customer Experience 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 Experience Data Delivered?
Customer Experience 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 Experience Data.
How Much Does Customer Experience Data Cost?
The cost of Customer Experience 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 Experience Data for your needs.
