Integrate BigCommerce with Databox

Availability

Users, Editors, and Admins

All accounts

One or more features exclusive to select subscription plans or add-ons

BigCommerce provides businesses with a powerful eCommerce platform to manage products, orders, payments, and customers all in one place. It offers built-in tools for storefront customization, inventory management, SEO, and marketing automation — enabling merchants to scale operations, optimize online sales performance, and deliver seamless shopping experiences across channels.

Connection

Before you begin

If your credentials don't include full access to the data source, make sure your access level meets any permission requirements listed in the Specification section of the integration's page in the Metric Library.

Step 1: Create an API account

You'll need a BigCommerce API account to connect BigCommerce to Databox, whether it's your first setup or a credential update. To create one, follow the step-by-step guide in BigCommerce's official documentation.

Note: To ensure Databox can access your BigCommerce data, grant Read permissions for all relevant API resources in your API account.

Step 2: Find your Store Hash

The Store Hash can be found in your store's URL. It appears right after store- in the address.

Example: https://store-abc123.mybigcommerce.com → here, abc123 is the Store Hash.

Step 3: Add a connection

Enter your Store Hash and Access Token from your BigCommerce API account to establish the connection.

Datasets

The BigCommerce integration supports the creation of datasets, which allow you to structure and format your BigCommerce data for more flexible reporting in Databox. By organizing your data into a tabular format, datasets make it easier to filter, segment, and visualize key metrics across projects, clients, and team members.

The entity relationship diagram (ERD) below illustrates how data is organized within the BigCommerce integration, displaying the available views and columns, as well as the relationships between them (primary and foreign keys). This diagram represents the schema, or structure, of the data and helps you understand the underlying data model. With this context, you can create datasets using the relevant views and columns to build custom metrics tailored to your reporting needs.

Resources

For comprehensive details on metrics, data availability, templates, specifications, usage guidelines, and other key information, refer to the resources listed below.