data methodology

How we make all
e-commerce sales visible

We understand that data reliability and accuracy are crucial when it comes to making decisions in e-commerce. Read on to learn about our unique dataset and why we're confident it can deliver growth.

80M

Products monitored

Shopper sessions tracked per week

200

Countries collected

So, just how does our data process work?

DATA COLLECTION

Gathering data on a global scale

Grips' model relies on unique first-party data from over 200K e-commerce merchants, purchased traffic data, web scraping, receipt scanning, consumer panels, and other sources to generate predictions. This diverse data collection feeds into the models, ensuring comprehensive and accurate insights for both known and unknown merchants.

DATA MODELLING

Calibrating prediction for extreme accuracy

The Grips model uses various data points and compares them to our true dataset, adjusting different variables in the algorithm. This process allows it to predict outcomes for both domains and products where Grips has first-party data and those where it doesn't.

Our research partners

How accurate is our data?

Reported Data vs Grips

Grips hits bullseye with their Etsy revenue estimations

Grips data correlates strongly with Etsy's reported financial data.

Grips Research

Grips data driving transformative research and industry advancements

Discover how Grips data has fuelled transformative research projects, propelling industries forward with insightful discoveries.

Transforming data into growth

Competitor Domain Analysis

Compare your revenue, conversion rate, AOV, and other key metrics and benchmark against competitors. Dive into drivers like assortment, marketing channels, ad spend, demographics, and devices and more, to identify revenue growth opportunities.

Product Level Analysis

Get complete access to the products that drive sales for your competitors and industry. Maximize your competitive edge by utilising product sales data for new product development, improvements to PDPs, assortment optimization, and more!

Trusted by these E-Commerce champions:

Frequently asked questions

What metrics do you include?

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!

What's included in your retailer estimates?

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.

What does your data include?

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.

How do you ensure the accuracy of your data?

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.

How do you handle data privacy and security?

We adhere to strict data privacy and security protocols. All data is anonymized and encrypted, ensuring compliance with global data protection regulations.

How many retailers are sharing data with you?

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.

See our data in action

Explore e-commerce data for over 60K+ domains