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Deployed on AWS
This index compares performance between mini and maxi structured bags, tracking size preference evolution and statement versus practicality choices. It includes Mini Models (Hermes Kelly 25cm, Dior Lady Dior Small, Chanel Classic Flap Small, Louis Vuitton Twist PM) and Maxi Models (Hermes Kelly 35cm, Dior Lady Dior Large, Chanel Classic Flap Jumbo, Louis Vuitton Twist MM).
Overview
Use Cases
Investment & Financial Analysis
- Portfolio Management: Track luxury goods as alternative investments
- Price Appreciation Analysis: Historical performance across brands and models
- Market Volatility Assessment: Risk metrics for luxury asset portfolios
- Liquidity Analysis: Time-to-sale and depreciation patterns
Retail & Business Intelligence
- Competitive Pricing: Real-time pricing intelligence across markets
- Inventory Optimization: Demand forecasting by region and model
- Market Entry Strategy: Geographic expansion analysis and opportunity identification
- Brand Performance: Market share analysis and brand health metrics
Authentication & Insurance Services
- Valuation Standards: Market-based pricing for insurance and estate purposes
- Fraud Detection: Identify counterfeit pieces through market pattern analysis
- Replacement Value: Accurate current market values for insurance claims
- Market Timing: Optimal buying and selling periods for collectors
Academic & Economic Research
- Luxury Market Analysis: Economic indicators and wealth correlation studies
- Cultural Impact Studies: Regional preferences and cultural influence on collecting
- Technological Innovation: Impact of new complications and materials on market values
- Sustainability Research: Pre-owned market growth and circular economy patterns
Metadata
| Description | Value |
|---|---|
| Data Format(s) | JSON, CSV, SQL Tables |
| Geographic coverage | Global |
| Historical coverage | 2008 - date |
| Update frequency | Daily |
| Update Type (Incremental updates vs. Full refresh) | Incremental updates |
| Data Source(s) | Auctions, Online Listings, Catalogues, Vendor Surveys |
Need Help?
- If you have questions about our products, contact us at info@altfndata.com
Details
Delivery method
Deployed on AWS
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Dimensions summary
This listing has one pricing dimension: Product Access, measured in units. It is free to subscribe. You get access to the Mini vs. Maxi Structure Bag Index (MMSI), which tracks luxury handbag market data. Because there is a single free dimension, there are no tiers, usage add-ons, or scaling charges to compare. You subscribe once through AWS Marketplace to gain access. The data draws on auction and private-sale records for luxury handbags, refreshed as new results come in. No additional pricing options apply.
Top-of-mind questions for buyers
One unit grants subscriber access to the Mini vs. Maxi Structure Bag Index (MMSI). You subscribe once at no charge through AWS Marketplace to gain access. The unit maps to your subscription entitlement, not to a volume of data queries or records.
The index draws on auction-realized results and private-sale records for luxury handbags. Figures reflect cleared transactions, not asking prices or estimates. Data is refreshed as new auction and private-sale results come in, with daily latency for the handbag dataset.
No. There is a single free Product Access dimension with no tiers, usage add-ons, or scaling charges. Your cost stays the same regardless of how often you access the index. Nothing meters queries or record volume for this listing.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Daily Feed | Global Luxury Handbag Sales | Bulgari, Louis Vuitton, Prada, Valentino, Hermes & more | Last 1 revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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