data methodology
How we make all
e-commerce sales visible
So, just how does our data process work?
Gathering data on a global scale
Calibrating prediction for extreme accuracy
How accurate is our data?
Grips hits bullseye with their Etsy revenue estimations
Transforming data into growth
Frequently asked questions
- Revenue: Revenue for the domain from online sales (in USD) for the selected period
- Transactions: Number of transactions for the domain for the selected period
- Sessions: Number of visits for the domain for the selected period
- Conversion rate: Number of sessions divided by transactions
- AOV: Average order value
- Ad spend: Total ad spend for the domain for Google Ads search network
- CPC: Cost per click for the domain for Google Ads search network
and many others!
Subdomains are included as part of the domain. For example, uk.louisvuitton.com is covered by www.louisvuitton.com.
We do not include top-level domain variations. For example, adidas.com doesn’t include adidas.de revenue.
We include one-time sales running through the checkout of a retailer’s website. We also include Click and Collect as online revenue (E.g. Over $100B in US 2022). We do not include subscriptions, returns or sales generated in an app.
Our data accuracy is maintained through rigorous validation processes, including cross-referencing with multiple data sources and continual algorithmic adjustments to align with real-world trends and patterns.
We adhere to strict data privacy and security protocols. All data is anonymized and encrypted, ensuring compliance with global data protection regulations.
We have access to the world’s largest set of retailer data. However, it’s important to note that while we gather comprehensive insights, we do not share specific insights derived from these data sets, ensuring confidentiality and trust.