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.
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
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
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Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Vivid Seats. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Vivid Seats user credentials. By using this dataset, you agree to comply with Vivid Seats's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.
This dataset provides comprehensive Vivid Seats marketplace data including ticket prices, event details, venue information, and seller data. Access inventory across sports, concerts, theater, and special events with buyer guarantee details.
Vivid Seats offers a 100% buyer guarantee on all transactions. The dataset captures guarantee details alongside pricing, helping you analyze how buyer protection programs affect marketplace pricing and consumer confidence.
The dataset includes information about Vivid Seats' loyalty rewards program. Study how rewards programs affect buyer behavior, analyze the relationship between repeat purchases and pricing, and evaluate the program's impact on marketplace dynamics.
Use Vivid Seats pricing data alongside other ticketing datasets for cross-platform comparison. Analyze which events are priced most competitively on Vivid Seats and study pricing differences for similar inventory across marketplaces.
The dataset includes VIP packages, parking passes, and premium seating options. Analyze how premium experiences are priced, study the uptake of VIP offerings by event type, and compare premium vs standard ticket pricing.
Filter by sport and team to analyze pricing trends. Study how game importance, opponent matchups, and season positioning affect secondary market ticket values for NFL, NBA, MLB, NHL, and other sports.
The dataset includes seller verification status and listing details. Analyze the seller landscape, study pricing differences between verified and other sellers, and understand the composition of the marketplace.
Filter for concert events to study pricing by artist, genre, and venue. Analyze how tour demand manifests in secondary pricing, compare pricing across tour dates, and study how venue size affects ticket values.
The dataset is refreshed regularly to capture new listings, price changes, and inventory updates. Historical data enables trend analysis across seasons and event cycles.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply event type, venue, and pricing filters before export to get the specific secondary market data you need.
Track how ticket prices change as events approach to identify last-minute deal patterns. Study which event types are most likely to see price drops and analyze the optimal timing for purchasing discounted tickets.
The dataset captures mobile-specific deals and promotions from Vivid Seats. Analyze how mobile channel pricing differs from desktop, study adoption of mobile purchasing, and understand the role of mobile-exclusive offers in the marketplace.