Vivid Seats Dataset

Comprehensive Vivid Seats marketplace dataset featuring detailed buyer protection analytics, loyalty program performance metrics, and seller verification trends. Includes historical data on customer satisfaction, dispute resolution, and platform trust indicators across millions of transactions.
Pre-processed dataset containing Vivid Seats' unique marketplace features including last-minute pricing patterns, VIP package performance, and mobile app engagement metrics. Ideal for understanding customer protection strategies and loyalty program effectiveness in the secondary ticket market.
  • 67,263 new entries per day (see new entries graph)
  • Buyer guarantee claim rates and resolution success analytics
  • Loyalty program engagement patterns and reward redemption data
  • Last-minute pricing elasticity and demand surge modeling
  • Seller verification impact on transaction success rates
  • Mobile vs desktop purchasing behavior and pricing variations

Vivid Seats Dataset Use Cases

Marketplace Trust Engineering
Build more secure ticket marketplaces using Vivid Seats' proven buyer protection and seller verification methodologies. Analyze their dispute resolution patterns to reduce transaction risks and increase customer confidence.
Customer Loyalty Strategy
Design effective rewards programs using Vivid Seats' loyalty data to understand what drives repeat purchases in entertainment markets. Optimize point structures and member benefits based on their successful customer retention models.
Dynamic Pricing Research
Study Vivid Seats' last-minute pricing strategies and flash sale effectiveness to improve revenue optimization. Use their urgent inventory management data to develop better algorithms for time-sensitive ticket sales.
Platform Security Investment
Guide security and fraud prevention investments using Vivid Seats' verified seller performance data. Understand the ROI of different verification methods and their impact on marketplace trust and transaction volume.

Vivid Seats Dataset New Entries

The graph below contains real data based on our scraping operations. Latest update was 5 hours ago.
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Vivid Seats Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use Vivid Seats dataset provides instant access to clean, structured data without any infrastructure headaches.
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Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.

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Frequently Asked Questions

Yes, Rebrowser Datasets are designed for seamless integration with your existing data infrastructure. We offer various integration options including direct API connections, compatible data formats, and customizable delivery methods to ensure smooth incorporation into your data ecosystem.

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Archive data is immediately available and typically spans from the past few days to several months, making it ideal for historical analysis. Freshly collected data is gathered specifically for your request, ensuring you receive the most current information available for time-sensitive applications.

Rebrowser Datasets stand out through our combination of comprehensive coverage, exceptional data quality, flexible customization options, and responsive support. Our proprietary collection methods ensure we capture data others miss, while our advanced processing delivers cleaner, more usable datasets than competitors.

Rebrowser provides extensive datasets covering multiple industries including e-commerce, financial services, AI training, healthcare, social media trends, real estate, and more. Our collections include various data types such as text, images, structured data, and time series information to support different analytical requirements.