2.2.5 Bulk Discounts and Bundling Options on Data Boutique

Updated by Andrea Squatrito

Bulk Discounts and Bundling Options on Data Boutique

Data Boutique offers data bundles as a flexible way for users to explore, plan, and reduce the cost of data purchases. Bundles allow users to combine multiple datasets into a single package, which can include one-time purchases, scheduled updates, and historical data. The more comprehensive the bundle, the greater the potential for discounts, making it an effective tool for budget-conscious data users.

What is a Data Bundle?

A data bundle is essentially a list of datasets you wish to purchase, with no commitment until you approve it. This gives you the freedom to experiment with different combinations of datasets and see how discounts apply based on the bundle’s content.

A bundle can include:

  • One-Off Purchases: A collection of datasets you need immediately.
  • Scheduled Future Refreshes: Data that will be updated according to a frequency you choose, such as monthly, weekly, or daily.
  • Historical Data: Access to past snapshots of datasets, depending on the history length available from the seller.

How Discounts are Applied

Discounts for data bundles are based on several factors, making them highly customizable and cost-effective:

  1. Bundle Size: The larger the bundle, the higher the discount. Adding more datasets increases the overall discount, allowing you to maximize savings with larger orders.
  2. Frequency of Future Updates: If you select frequent updates (e.g., daily or weekly), additional discounts may apply, as this creates ongoing demand.
  3. Commitment Length: Bundles can be either:
    • Open Orders: These can be stopped at any time but generally offer fewer discounts due to the lack of long-term commitment.
    • Minimum Duration Orders: Committing to a minimum duration of 12 or 36 months qualifies you for additional cost reductions. The longer the commitment, the greater the discount, rewarding users who need sustained data access.
  4. Marginal Incremental Discount: If enabled by the seller, marginal incremental discounts can apply to similar datasets when there’s a clear efficiency in purchasing them together. For instance, buying two schemas from the same website may qualify for a discount, as it’s more efficient to source both datasets. However, these discounts must be approved by the seller, as they’re specific to certain combinations that offer inherent efficiencies.

Payment for Bundles

Once a bundle is approved and ordered, payments are handled on a monthly basis, regardless of the refresh frequency chosen (e.g., daily or weekly updates are still billed monthly).

The first month of a bundle is always a minimum duration, meaning you will be billed for the first month even if you stop the bundle afterward. For long-term bundles (12 or 36 months), the commitment applies for the agreed duration, and payments continue monthly until the end of the term.

In Summary

  • Data Bundles: A flexible tool to experiment with different datasets, updates, and historical data before placing an order.
  • Discount Factors: Based on bundle size, frequency of updates, commitment length, and seller-approved marginal discounts for similar datasets.
  • Flexible Payment Structure: Bundles are billed monthly, with a minimum duration of one month, regardless of the refresh frequency.

Data bundles allow you to plan, manage, and optimize your data expenses, making it easier to acquire the data you need within your budget.

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