

Built for the teams that move markets.
Built for the teams that move markets.
Built for the teams that move markets.
Whether you're allocating media budgets, predicting retail demand, or trading on alternative data — we deliver the signals that drive decisions.
Whether you're allocating media budgets, predicting retail demand, or trading on alternative data — we deliver the signals that drive decisions.
Whether you're allocating media budgets, predicting retail demand, or trading on alternative data — we deliver the signals that drive decisions.

Agencies & DSPs
Audiences built on behavior, not guesswork
Audiences built on behavior, not guesswork
Audiences built on behavior, not guesswork
Problem
Problem
Third-party cookies are dead. Demographic segments are blunt instruments. Your clients want precision and proof.
Third-party cookies are dead. Demographic segments are blunt instruments. Your clients want precision and proof.

01
01
01
Pick a seed
Pick a seed
Pick a seed
Choose movement, media, purchase, or your own CRM file to start building your ideal audience.
Choose movement, media, purchase, or your own CRM file to start building your ideal audience.
Choose movement, media, purchase, or your own CRM file to start building your ideal audience.

02
02
02
Blend signals
Blend signals
Blend signals
Our identity graph layers property, auto, political, device, clickstream, location, and streaming data onto every profile.
Our identity graph layers property, auto, political, device, clickstream, location, and streaming data onto every profile.
Our identity graph layers property, auto, political, device, clickstream, location, and streaming data onto every profile.


03
03
03
AI scoring
AI scoring
AI scoring
Models rank every profile by visit propensity or purchase likelihood — so you reach top prospects first, not random ones.
Models rank every profile by visit propensity or purchase likelihood — so you reach top prospects first, not random ones.
Models rank every profile by visit propensity or purchase likelihood — so you reach top prospects first, not random ones.


04
04
04
Push live
Push live
Push live
Export high-intent audiences directly to ESPs, DSPs, Meta, or Google.
Export high-intent audiences directly to ESPs, DSPs, Meta, or Google.
Export high-intent audiences directly to ESPs, DSPs, Meta, or Google.
Attribution & measurement:
Measure offline attribution — tie campaigns to verified store visits
Measure offline attribution — tie campaigns to verified store visits
Track cross-channel performance across programmatic, CTV, social, and email
Track cross-channel performance across programmatic, CTV, social, and email
Frequency capping and channel mix optimization
Frequency capping and channel mix optimization
Transparent segment reporting
Transparent segment reporting
Cultural moments (drops, launches, controversies) detected as they propagate
Cultural moments (drops, launches, controversies) detected as they propagate
Cultural signal layer
Add cultural signal data to spot emerging audience interests before your competitors
Add cultural signal data to spot emerging audience interests before your competitors
Time campaign launches to cultural momentum, not media calendars
Time campaign launches to cultural momentum, not media calendars
Result
Result
Higher match rates. Provable ROAS. Audiences grounded in what people actually do.
Higher match rates. Provable ROAS. Audiences grounded in what people actually do.
Concrete examples:

Conquest competitors
target shoppers who visited a rival store in the last 7 days with a compelling offer

Retarget media viewers
engage viewers of a streaming series with themed creative across their devices

Acquire new customers
send acquisition emails to homeowners in high-growth markets who match your customer profile
Agencies & DSPs
See what's selling. See what's coming.
See what's selling. See what's coming.
See what's selling. See what's coming.
Problem
Problem
POS data tells you what happened. You need to know what's about to happen — which products are gaining momentum, where foot traffic is shifting, and what your competitors are doing.
POS data tells you what happened. You need to know what's about to happen — which products are gaining momentum, where foot traffic is shifting, and what your competitors are doing.
Foot traffic intelligence
Real-time visitation data across your locations and competitors
Real-time visitation data across your locations and competitors
Daily, weekly, and hourly visit patterns to understand customer flow
Daily, weekly, and hourly visit patterns to understand customer flow
Dwell time, repeat visitor rates, and loyalty metrics
Dwell time, repeat visitor rates, and loyalty metrics
Heat maps to identify high and low-performing locations
Heat maps to identify high and low-performing locations
Competitive benchmarking
Define your competitor set by brand, category, or specific locations
Define your competitor set by brand, category, or specific locations
Track share-of-visit, visitor overlap, and frequency against competitors
Track share-of-visit, visitor overlap, and frequency against competitors
Custom alerts for market shifts — spikes, declines, seasonal patterns
Custom alerts for market shifts — spikes, declines, seasonal patterns
Weekly competitive share reports
Weekly competitive share reports
Site selection
Define trade areas on a map or upload candidate addresses
Define trade areas on a map or upload candidate addresses
Layer foot traffic volume, dwell time, demographics, and competitor proximity
Layer foot traffic volume, dwell time, demographics, and competitor proximity
AI-powered revenue forecast scoring and site ranking
AI-powered revenue forecast scoring and site ranking
PDF exports for board-ready presentations
PDF exports for board-ready presentations
Historical traffic data for up to three years
Historical traffic data for up to three years
Result
Result
Smarter inventory. Better locations. Campaigns timed to cultural momentum, not last quarter's data.
Smarter inventory. Better locations. Campaigns timed to cultural momentum, not last quarter's data.
Concrete examples:

QSR menu launch
Monitor traffic shifts in real time after a rival launches a new menu item

Retail expansion
Prioritize the top five suburban markets based on ideal customer traffic density

Promotion testing
Measure foot traffic impact in test stores vs. control locations
Financial & Alternative Data
Cultural momentum as a leading indicator.
Cultural momentum as a leading indicator.
Cultural momentum as a leading indicator.
Problem
Problem
By the time a trend shows up in earnings, the trade is over. You need signal that precedes price movement.
By the time a trend shows up in earnings, the trade is over. You need signal that precedes price movement.
Cultural signal feeds
AI agents monitor social platforms and prediction markets (Polymarket, Kalshi) to detect brand and category momentum shifts
AI agents monitor social platforms and prediction markets (Polymarket, Kalshi) to detect brand and category momentum shifts
Cross-platform validation — a signal is only surfaced when correlated across multiple sources
Cross-platform validation — a signal is only surfaced when correlated across multiple sources
Structured data delivered via API for direct model integration
Structured data delivered via API for direct model integration
Physical world proxies
Foot traffic data as a real-time proxy for revenue — see store visits change before quarterly reports
Foot traffic data as a real-time proxy for revenue — see store visits change before quarterly reports
Competitive share-of-visit as a market share leading indicator
Competitive share-of-visit as a market share leading indicator
Consumer spending signals correlated with cultural velocity
Consumer spending signals correlated with cultural velocity
Dwell time and travel-distance signals for predictive and analytical models
Dwell time and travel-distance signals for predictive and analytical models
Data infrastructure
Delivered as structured feeds — S3, SFTP, or API
Historical backfill for backtesting
Flexible licensing — choose fields, geographies, and refresh rates
Result
Result
Alternative data that's actually alternative. Signals from the intersection of culture, commerce, and physical behavior.
Alternative data that's actually alternative. Signals from the intersection of culture, commerce, and physical behavior.
CTV & Streaming Platforms
From household screen to store door.
From household screen to store door.
From household screen to store door.
Problem
Problem
You know what households watch. You don't know what they do after. The gap between impression and action is where measurement breaks down.
You know what households watch. You don't know what they do after. The gap between impression and action is where measurement breaks down.
Household identity
Map CTV viewership to household identity using deterministic IP-to-device linkage
Map CTV viewership to household identity using deterministic IP-to-device linkage
Connect mobile IDs to household IPs for precise streaming ad delivery
Connect mobile IDs to household IPs for precise streaming ad delivery
Cross-device linkage across mobile, desktop, and CTV
Cross-device linkage across mobile, desktop, and CTV
Attribution & measurement
Measure whether ad-exposed households actually visited a store, switched brands, or increased purchase frequency
Measure whether ad-exposed households actually visited a store, switched brands, or increased purchase frequency
Cross-media measurement across streaming, audio, and linear
Cross-media measurement across streaming, audio, and linear
Audio-to-visitation attribution for podcast and streaming audio campaigns
Audio-to-visitation attribution for podcast and streaming audio campaigns
Audience enrichment
Build CTV audiences enriched with real-world mobility and consumer behavior data
Build CTV audiences enriched with real-world mobility and consumer behavior data
Identify streaming, TV, and gaming preferences tied to real purchase behavior
Identify streaming, TV, and gaming preferences tied to real purchase behavior
Profile households by media habits + physical behavior for sharper targeting
Profile households by media habits + physical behavior for sharper targeting
Result
Result
CTV attribution that connects the screen to the store. Not modeled. Measured.
CTV attribution that connects the screen to the store. Not modeled. Measured.
Concrete examples:

Streaming attribution
Identify which streaming platforms drive the most store visits for a product category

Household conquest
Target households consuming competitor content with your brand messaging

Audio measurement
Tie podcast ad exposure to verified in-store visits within 7 days
Datarate.ai
Your competitors see data. You'll see what's coming.
Your competitors see data. You'll see what's coming.
We deliver raw intelligence at scale — via API, S3, or SFTP.


Datarate
We connect internet culture, real-world
movement, and media.
© 2026 Datarate. All rights reserved
Datarate
We connect internet culture, real-world
movement, and media.
© 2026 Datarate. All rights reserved
Datarate
We connect internet culture,
real-world movement, and media.
© 2026 Datarate. All rights reserved