Once for elite hedge funds. Now for brands and agencies.

Get your data
30MConsented consumers
RealObserved behavioral data
1BData points
DailyRefreshed

This is the data that powers algorithmic trading. Now it fuels your marketing engine.

Be one step ahead of consumer trends.

6:41 AMStreamed a morning-run playlist
7:58 AMSearched “best cushioned running shoes 2026”
12:02 PMOrdered lunch on DoorDash
3:27 PMCompared the same sneaker across three retailers
8:40 PMBooked a flight to Denver for a race weekend
10:56 PMBought the sneaker she compared at 3:27
One consumer · one ordinary day
6:48 AM ESPNChecked NBA scoresE
8:12 AM SPOTIFYWorkout playlist · 32 minS
11:30 AM INSTAGRAMLiked 14 posts · saved 2I
1:05 PM AMAZONAdded pilates starter kit to carta
2:40 PM NIKEViewed Pegasus 41 · 3×N
6:20 PM DOORDASHOrdered dinner · $28D
8:30 PM NETFLIXWatched 2 episodesN
10:35 PM DRAFTKINGSPlaced a $25 parlayD

Every participant opts in, and every event is tied back to who they are and what they buy.

Self-identified

  • Age
  • Location
  • Relationship status
  • Job title and employer
  • Life events

Observed

  • Search history
  • Social interactions
  • Music and content streamed
  • Digital path to purchase
  • Which ads led to the sale

Purchased

  • Rewards cards
  • Wallet share
  • Purchases down to color, style, size and SKU

What the data found about real buyers.

Questions brands asked, answered from the panel and indexed against the average American.

What do laundry-sheet buyers watch?

The Last of Us11×
Environmental Defense Fund9×
Game of Thrones6.7×

Laundry sheets · 3 of 1,700+ insights in this pull

Who do our prospects listen to and follow?

Emma Chamberlain’s podcast16×
Chris Olsen12×
Healthline2.9×

Feminine care · 3 of 1,700+ insights in this pull

Where do our customers work out?

Dogpound4.6×
Equinox2.6×
Barry’s2.4×

Restaurants · 3 of 1,700+ insights in this pull

Who is the best-fit buyer for a new energy drink?

Listens to Huberman Lab28×
Uses Peloton86%
Buys HokaOver half

Functional energy · 3 of 1,700+ insights in this pull

Who switches to us from a competitor?

Skilled-trades households3.3×
Star Wars gaming5.6×
Mortal Kombat2.7×

Home internet · 3 of 1,700+ insights in this pull

Who else do our buyers buy from?

Seventh Generation45.7%
Blueland38.7%
Earth Breeze32.8%
This brand28.3%

Laundry sheets · 4 of 1,700+ insights in this pull; the brand is fourth in its own category

How it works

The Kartel data strategist searches our proprietary database of 30 million consented American consumers, finds the data that fits your goal, and loads it into your workspace.

  1. Ask in plain EnglishWho buys from us, whose customers could we take, which ad earned the sale.
  2. It searches our databaseKartel’s panel of 30 million consented Americans.
  3. It recommends what to buyThe audiences to order, each with its price.
  4. Order it and get the analysisThe data, what it means, and a deck built from it.
  5. It lands in the Creative Strategy EngineNext to your own buyers. See the engine

What you can ask the data strategist for

Who your buyers are and what else they buyWho buys, and what else they buy

Name a brand, a product, a show or a team. You get the people who engage with it, with every category indexed against the US population, where 100 is the country.Name a brand, a show or a team. You get the people who engage with it, every category indexed against the US population.

  • Age, gender, income, education, children and location.Age, income, education, children, location.
  • The brands they buy most, where they shop and where they eat.The brands they buy, where they shop and eat.
  • Every category from CPG and footwear to banking, travel, streaming and sports.Every category, CPG to streaming to sports.

Kartel’s panel is twice the size of comScore’s and records every URL.

It holds five years of history and adds a billion rows a week, refreshed daily.

Kartel
Similarweb
Sensor Tower
Earnest
30M consented panel
Modeled
Apps only
Credit card data
Full URL-level clickstream
Domain only
No
No
Self-reported demographics
Inferred
Inferred
No
LLM user behavior
No
No
No

Common questions about the data.

Where does the data come from?

An opted-in panel of 30 million US consumers. Every person in it agreed to share their digital activity across their devices: what they search, which sites and apps they use, what they watch and what they buy online. Nobody is surveyed and nobody self-reports.

How often is it refreshed?

Every day. The panel holds five years of history and adds about a billion rows a week.

How do you measure whether a campaign worked?

We watch what the people who saw it did online in the window before and after, and compare them with a matched group who did not see it. Whatever changed for that group is background noise and gets subtracted. Only what is left is credited to the campaign, so every number is a floor, not a ceiling.

How does a dataset get into the Creative Strategy Engine?

You ask the data strategist in plain English. It searches the panel, recommends the audiences to order, and loads the one you choose into your workspace next to your own buyers.

Stop guessing. Start knowing.

Speak with our data strategist