2.1.2 Understanding Price of Datasets on Data Boutique
Updated
by
Andrea Squatrito
Understanding Price of Datasets on Data Boutique
Dataset prices on Data Boutique are set by individual data sellers, reflecting a range of factors specific to each dataset. Here’s a breakdown of how pricing works and what to expect when purchasing data.
How Dataset Prices Are Set
Each dataset’s price, known as the unit price, is determined by the seller. Sellers consider several key factors when setting a price:
- Data Extraction Costs: The complexity and resources required to collect data from a specific website influence pricing. More intricate or demanding extractions may lead to higher prices.
- Popularity of the Website: Websites that are frequently requested or commonly used in analytics may have higher prices due to greater demand.
- Commercial Implications: Sellers may also consider the value or relevance of the data for commercial applications, which can impact the price.
Data Boutique itself does not interfere with the price setting of individual datasets, allowing sellers to price their offerings based on their expertise and the perceived value of the data.
Purchasing “As-Is” Data
The listed unit price refers to the data as-is, reflecting a specific date of collection (or snapshot). When purchasing a dataset, you are acquiring a snapshot of the data collected on a particular date, ideal for users who need data at one fixed point in time.
If you require a refreshed version of the data, you will need to purchase it again at the current indicated price, as dataset prices may change over time.
Historical Data and Future Data Refreshes
For buyers interested in historical data or scheduled updates, pricing is based on the unit price multiplied by the number of snapshots (dates of collection) needed. Discounts may apply for bulk historical data purchases or bundled datasets, making it more cost-effective to acquire multiple snapshots over time.
For example:
- Historical Data: If you need data from several points in the past, you’ll pay the unit price for each snapshot date. Discounts on historical data are applied based on the quantity of snapshots you’re purchasing.
- Future Refreshes: For recurring needs, you can arrange for periodic refreshes, paying the unit price for each scheduled snapshot. Bundle discounts may also apply if you commit to multiple snapshots in advance.
In Summary
- Seller-Determined Pricing: Prices are set by sellers based on data extraction costs, website popularity, and commercial value.
- Unit Price: The listed price reflects data collected on a specific date. If refreshed data is needed, the buyer must purchase it again at the current price.
- Historical Data and Refresh Options: Buyers can pay for multiple snapshots over time, with discounts available for historical data purchases and data bundles.
Understanding dataset pricing allows you to plan and budget effectively, whether you need a one-time snapshot or multiple points of data over time.