Strategy starts here.
The first platform to turn proprietary, Wall Street-quality behavioral data into finished insights, creative strategy, and content.
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The strategic backbone of your creative process. In under 20 minutes.
One real run, start to finish, for an eco laundry-sheet brand sitting fourth in its category: the audience, the insights, a fifteen-slide strategy deck, paste-ready targeting and the ad.
01The dataPurchases, viewing and search for millions of Americans, refreshed daily, every audience sized to the US population.
Fintech audiences
BRAND 1 · BASEEarnIn Customers218,472 sample → 7,207,391 US
BRAND 2 · INCUMBENTDave Banking739,230 sample → 24,387,198 US
BRAND 1 · BASEChase United Credit Card21,879 sample → 721,788 US
Telecom audiences
BRAND 1 · BASESpectrum Internet2,674,090 sample → 88,218,229 US
BRAND 2 · INCUMBENTT-Mobile 5G Home Customer2,744,160 sample → 90,529,838 US
SWITCHERSSpectrum to Starlink Switchers3,000 sample → 98,970 US
Home & appliance audiences
BRAND 1 · BASESharkNinja · Ninja Crispi Purchasers3,487 sample → 115,036 US
BRAND 2 · INCUMBENTSharkNinja · Gift Givers7,846 sample → 258,840 US
BRAND 3 · TARGETSharkNinja · Potential Air Fryer Consumer1,507,156 sample → 49,721,076 US
Travel audiences
BRAND 1 · BASELA Travel Booked Past 12 Months850,000 sample → 28,041,500 US
BRAND 2 · INCUMBENTLA Travel Considered Chose Elsewhere550,000 sample → 18,144,500 US
BRAND 3 · TARGETLA Travel Considering Past 90 Days425,000 sample → 14,020,750 US
CPG audiences
BRAND 1 · BASEGoGo squeeZ Yogurt Buyer700,000 sample → 23,093,000 US
BRAND 2 · INCUMBENTGo-GURT Protein Buyer400,000 sample → 13,196,000 US
BRAND 3 · TARGETTween & Teen Yogurt Shopper250,000 sample → 8,247,500 US
Restaurant & household audiences
BRAND 1 · BASEPrince Street Pizza Customers47,235 sample → 1,558,283 US
BRAND 3 · TARGETPotential Laundry Sheets Customers273,458 sample → 9,021,379 US
BRAND 1 · BASEChase United Credit Card21,879 sample → 721,788 US
02The insightsWhere this audience differs from the average American, each habit with its multiple and the count behind it.
A third of potential buyers binge The Last of Us at 11x the average AmericanTHE LAST OF US · INDEX 1122 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
The under-index side is just as clear: country music (24 index), NASCAR (14), hunting (14), rodeo (8), babies/toddlers content (29).UNDER-INDEX · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
The $150K+ bands under-index hard, so this is taste-rich, not necessarily cash-rich.HOUSEHOLD INCOME · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
They carry plastic guilt without wanting a lecture, and binge prestige apocalypse TV.PSYCHOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
They support the Environmental Defense Fund and The Nature Conservancy, but dislike preachy sustainability marketing.PSYCHOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
They respond to proof and specifics over adjectives, and to being cast as the competent adult gamer rather than the couch relaxer.PSYCHOGRAPHICS · AUD: SPECTRUM_INTERNET
The first generation that grew up gaming now pays the internet bill, and nobody in the category is talking to them.SETUP · AUD: SPECTRUM_INTERNET
$150-250K under-indexes at 0.56x, so the money is not where the category aims it.HOUSEHOLD INCOME · AUD: SPECTRUM_INTERNET
Urban, childless, food-literate, culturally online.PSYCHOGRAPHICS · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
A third of customers are fine-dining people, 4x the normFINE DINING · INDEX 396 · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Eater casting: ASAP Rocky at double the normASAP ROCKY · INDEX 211 · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
25-34 leads at 22.5% of the audience (1.7x gen pop), 35-44 at 21.6% (1.6x)DEMOGRAPHICS · AUD: SPECTRUM_INTERNET
The Last of Us reaches a third of the poolTHE LAST OF US · REACH 33.79 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
One in thirteen has dined at Eleven Madison Park, 4.6x the normELEVEN MADISON PARK · INDEX 462 · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Six in ten have children at home (58.9%, 1.36x).DEMOGRAPHICS · AUD: SPECTRUM_INTERNET
Game of Thrones at 7x the normGAME OF THRONES · INDEX 671 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Resy usage at 8.1x the normRESY · INDEX 810 · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Household income concentrates $50-75K (20.6%, 1.48x) and $75-100K (16.4%, 1.36x) while $150-250K under-indexes at 0.56x.DEMOGRAPHICS · AUD: SPECTRUM_INTERNET
EDF support at 9x the normENVIRONMENTAL DEFENSE FUND · INDEX 931 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Eataly shoppers at 8x the normEATALY · INDEX 804 · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Some College / Associate leads education at 30.9% (1.44x).DEMOGRAPHICS · AUD: SPECTRUM_INTERNET
Three in ten back The Nature ConservancyTHE NATURE CONSERVANCY · REACH 30.21 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Six in ten customers are into Italian food, 2.7x the normITALIAN FOOD · REACH 59.29 · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Household occupations over-index hardest in Skilled Trades (3.3x) and Transportation & Logistics (2.4x), household figures, attribute to the family.DEMOGRAPHICS · AUD: SPECTRUM_INTERNET
Two-thirds of the pool are womenFEMALE · REACH 65.46 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Young and urban: 25-34 leads at 38.94% of the base, three times the norm (295 index)DEMOGRAPHICS · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Top geos: New York (12.0% of audience, 1.95x), LA (9.0%, 1.73x), Chicago (5.9%, 2.08x), Dallas (4.9%, 1.88x), with the sharpest concentration in Salt Lake City (3.07x), Denver (2.16x), and Minneapolis (2.02x).DEMOGRAPHICS · AUD: SPECTRUM_INTERNET
Core age 35-44 at more than double the norm35-44 · INDEX 211 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Skews male, 58.28% vs 47.89% nationally (122 index).DEMOGRAPHICS · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Hobby-infrastructure internet users: PC gaming platforms (Steam 1.9x, Epic 1.9x) and gaming creator culture (Markiplier 2x) define the adults, Roblox (1.9x) defines the kids in the same house.PSYCHOGRAPHICS · AUD: SPECTRUM_INTERNET
Six in ten are parents, so they care about the future their kids inheritHAS CHILDREN · REACH 58.47 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Household income clusters middle: $50-75K is the biggest band at 23.81% (1.7x), $75-100K at 18.69% (1.6x)DEMOGRAPHICS · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Tech-fluent researchers who read tech news at 1.9x, follow computer programming at 2.1x, and research purchases exhaustively (Kelly Blue Book 1.8x, CarFax 1.81x, CarGurus 1.81x).PSYCHOGRAPHICS · AUD: SPECTRUM_INTERNET
Core age 35-44 at 28.47% of the pool, more than double the norm (index 211), with 25-34 close behind at 22.52% (index 170)DEMOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
The $150K+ bands under-index hard, so this is taste-rich, not necessarily cash-rich.DEMOGRAPHICS · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Sports viewers skew broadcast-event: The Masters at 1.8x.PSYCHOGRAPHICS · AUD: SPECTRUM_INTERNET
Household income clusters at $100-150K (25.49%, index 132) with $75-100K over-indexing hardest (index 154), household figures, never personal salariesDEMOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Geography: New York DMA dominates at 15.88% of customers, 2.6x the normDEMOGRAPHICS · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Social life runs vertical video first: TikTok 71% at 1.4x, Instagram 69% at 1.2x.PSYCHOGRAPHICS · AUD: SPECTRUM_INTERNET
Four in ten hold a bachelor's (39.51%, index 173)DEMOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Fine dining at 4x the norm, Italian food at 2.7x with six-in-ten reach, cocktails at 2.5x, wine at 2.3x, nightlife at 2.2x.PSYCHOGRAPHICS · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Educator households at double the norm (10.48%, index 209).DEMOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
They are also drop-culture people (2.4x) who shop StockX at 2.9x and Eataly at 8x, book on Resy at 8.1x, order on Seamless at 9x, and log films on Letterboxd at 10.8x.PSYCHOGRAPHICS · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
Whole Foods shoppers at over half (55.01%, 2.5x), Trader Joe's at four in ten (41.55%, nearly 3x), Costco at six in ten (63.14%, 1.5x).PSYCHOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
The under-index side is just as clear: country music (24 index), NASCAR (14), hunting (14), rodeo (8), babies/toddlers content (29).PSYCHOGRAPHICS · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
A third use Instacart at double the norm (35.5%).PSYCHOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Instagram near-universal (91.75%), Pinterest the standout at three-quarters, double the norm (76.88%), TikTok at two-thirds (65.12%), Apple TV+ over-indexing (35.15%, 1.8x).PSYCHOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
Environmental Defense Fund at 9x, Nature Conservancy at three in ten at 4x.PSYCHOGRAPHICS · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
A third of potential buyers binge The Last of Us at 11x the average AmericanTHE LAST OF US · INDEX 1122 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
A third of customers are fine-dining people, 4x the normFINE DINING · INDEX 396 · AUD: PRINCE_STREET_PIZZA_CUSTOMERS
25-34 leads at 22.5% of the audience (1.7x gen pop), 35-44 at 21.6% (1.6x)DEMOGRAPHICS · AUD: SPECTRUM_INTERNET
The Last of Us reaches a third of the poolTHE LAST OF US · REACH 33.79 · AUD: POTENTIAL_LAUNDRY_SHEETS_CUSTOMERS
03The briefFifteen slides: the position, the audience, the open whitespace and the campaign idea, every choice traced to its number.
04Audience & targetingThe audience as segments, sized and paste-ready for Meta, Google and TikTok, plus the retail-media layer that converts.
05The adThe finished spot, made in the same workspace from the brief, with a data-annotated cut. Click for sound.
“Your audience is moms who binge The Last of Us at 11x the average American, stream Game of Thrones, hold college degrees and back the Environmental Defense Fund at 9x the norm. Entertain them.”
In their own words.
“I’ve been crushing it on one of our flagship brands. I had five campaign ideas, and the platform has already helped me bring three of them to life, all over the weekend.”
“With this partnership, we can finally bring these two worlds closer together, so insights can move faster, ideas can get sharper, and campaigns can evolve while they are still live.”
“We crossed a major milestone in the limits of this tech. We can all go back in the history books and mark this project as something to be proud of. Together we changed the landscape of this industry.”
“This platform is so user friendly, and I’m having the issue of loving too many assets. Thank you guys!”
How it’s different
Built on one of the most powerful behavioral data pipelines used by Wall Street.
A billion new data points a week: what your customers do before, during, and after purchase.
It powers eleven figure decisions, where accuracy is billions won or lost.
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
We beat the top panels industries pay millions for.
30MConsented American panel
5+ yrsLongitudinal history
1BNew rows per week
DailyRefresh
Kartel
30M
comScore
15M
Similarweb
10M
Datos
5M
YouGov
4M
Luminate
3M
Nielsen (Streaming)
1.5M
Nielsen (Linear TV)
42K
Everyone else models, infers, or cannot see it at all.
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
The Entire Creative Stack.
Analyze your data, visualized into easy to read reports
Identify your audiences across 100s of factors: location, interests, buying behavior, and more
Creative analysis, and impact reports
Creative Direction concepts with associated audience and impact reports
Creative Briefs with execution and marketing plan
Script writing, casting, mood boards and concept execution visuals
Marketing Plan, suggested platforms, duration and ad buys
Asset generation across all types and formats, up to 30s video
AI Editing Suite for fine tuning
“Holy sh*t.”
CEO of a major agency, first time seeing it run
30 minutes with our co-founder. See the engine run start to finish.