Real sales. Measured at the source.
Grips tracks what actually sells — at the world’s largest retailers and on the D2C brand sites competing with them. Every product, every store, every day: units, revenue, and price, online and in-store.
- Measured, not sampled. In the categories you track we measure the full catalog — every SKU at every covered store, so a single product is as visible as a category leader.
- Investor-grade. Institutional investors have relied on this data for years to read retail markets. You get the same feed, pointed at your own categories.
- Fresh within 24 hours. The sales that happened yesterday are in your data before your next planning meeting.
Trusted by these E-Commerce champions:
Accuracy validated by brands, retailers, and financial institutions
Funds have used Grips data for years, putting money behind these numbers and re-checking them constantly. That kind of scrutiny, applied for that long, is what shaped how we measure.
They use it in diligence and market work for the same brands you compete with — where the number gets pulled apart twice, once by the consultancy and again by their client.
Before they sign, they put our numbers through rigorous testing against the actuals in their own POS systems and retailer portals — figures only they can see. That testing, including head-to-head evaluations against panel-based providers, is how most of our clients decided to work with us.
Used by top universities and researchers
Alongside our commercial clients, universities use Grips data for academic research — work where the methods are published in full and the results have to reproduce.
One recent example ran in Marketing Science: a study of whether ChatGPT referrals actually convert, built on a year of Grips data across 973 e-commerce sites and $20 billion in revenue. Other papers have traced digital taxes into ad prices and tariffs into cross-border marketplaces.
Explore research papers built with our dataResearch partners
Recent top research
Research built on Grips data
From the shelf to your dashboard
Every figure starts as a measurement taken at the retailer, and goes through the same three stages before it reaches you.
Our measurement network tracks every product at the retailers and brand sites we cover — what it costs, what’s on promotion, and what sells. Every SKU, every store, every day.
Every number passes our own checks before it ships. The harder check comes from clients, who hold their POS and retailer-portal figures next to ours and flag anything that looks off.
Clean, product-level sales data lands in your dashboard, API, feed, or AI agent — within 24 hours of the sale itself.
Measured, not estimated
Most market data is built from what retailers agree to report, or from a panel of shoppers, and is then projected to represent the whole market. Grips measures product by product, so the detail is still there when you drill in.
They depend on retailers agreeing to share their numbers. Where a retailer doesn’t take part, that share of the market is estimated rather than measured.
A panel of shoppers shares receipts and the rest is extrapolated. Useful for broad trends; thinner once you ask about one product at one retailer.
Traffic tools show what shoppers looked at. They don’t show how many units sold, or what the shopper paid.
Units, price, and revenue for each product at the retailers we cover, updated daily — online and in-store.
One dataset, many use cases unlocked
Product-level sales are the one thing we do — and most of what a category team needs comes out of these same fields. This is the standard delivery, the one every client starts from.
| date | retailer | channel | product | brand | category | power source | units sold | avg price | revenue |
|---|---|---|---|---|---|---|---|---|---|
| 2026-08-13 | homedepot.com | in-store | Greenworks 80V 21" | Greenworks | Walk-behind | Electric | 214 | $599.00 | $128,186 |
| 2026-08-13 | lowes.com | online | Toro Recycler 22" | Toro | Walk-behind | Gas | 168 | $429.00 | $72,072 |
| 2026-08-13 | homedepot.com | in-store | Honda HRN 216 | Honda | Walk-behind | Gas | 96 | $499.00 | $47,904 |
| 2026-08-13 | homedepot.com | online | Ryobi 40V HP Brushless | Ryobi | Self-propelled | Electric | 143 | $549.00 | $78,507 |
Illustrative rows in the shape of the real feed: one per product, per retailer, per day. Where store-level coverage is included, you get the same row for each individual store.
| field | what it is | example |
|---|---|---|
date | The sales day itself, in your hands within 24 hours | 2026-08-13 |
domain | The retailer or D2C brand site the sale happened on | homedepot.com |
channel | Online or in the store | in-store |
title | Product name exactly as the retailer lists it | Greenworks 80V 21" Mower |
brand | Manufacturer, normalized across retailers so brand roll-ups add up | Greenworks |
category | Normalized across retailers, and mapped to your internal categories on request | Walk-behind mowers |
units_sold | Units sold that day | 214 |
price | The price shown on the product page that day | 599.00 |
revenue | Revenue for that product, that day | 128,186.00 |
address | Store address, wherever store-level coverage is included | 550 Hamilton Ave, Brooklyn NY |
url | Link to the product detail page | homedepot.com/p/… |
attributes | Anything on the product detail page — power source, cutting width, battery included, color. Added per category, to your spec | { "power_source": "Electric" } |
The full field list comes with the delivery, once your retailers and categories are scoped.
Roll it up the way you run your business. By brand, category, retailer, region, or day — across your whole retailer set at once. Brand and category are normalized retailer to retailer, and each retailer’s own category tree is mapped to yours, so a cross-retailer view adds up.
Inside the measurement network
Coverage follows our clients. Name the retailers and categories that decide your business, and that is where we measure — including big-ticket categories people buy once every few years, and retailers that keep their POS data to themselves.
The world’s largest retailers, measured continuously — plus specialty retail, wholesale, and D2C brand storefronts, which we cover the same way.
Live today across North America and Europe. The methodology travels — new markets open where clients need them.
Any category, switched on fast: name it today, and full product-level coverage across your agreed retailers starts flowing within days.
The same data, inside your AI tools
Everything on this page is available through the Grips MCP server, so you can ask for it in plain language from Claude, ChatGPT, or any agent your team already uses — and get the same measured numbers back.
- Answers come from the measured data. Every response is built from the product-level sales, pricing, and revenue described above — not from the model’s own guesswork.
- Drill into the data, not just the summary. Break any answer down by retailer, brand, category, or time period to find what matters.
- No exports, no copy-paste. Competitive intelligence flows directly into your team's AI workflows.
grips.top_products
Top mowers by revenue at Home Depot on today:
Electric drove four of every five dollars across these three — the same rows you saw in the data sample above.
Works with any MCP-compatible client
See what is happening in your category
A demo is not a slideshow. Tell us the categories and retailers that matter and we pull your market before the call.
- 1An analyst prepares your categories and competitive set from live data.
- 2You get a walkthrough of your own market: share, pricing, who is gaining, what moved.
- 3Try the insights agent on your own questions, in plain language.