Every signal, connected to one consumer.
App, web, location, media, purchase, and AI search — collected first-party from opt-in U.S. consumers and resolved to a single validated identity.
Every dataset, one connected panel.
Age, gender, ethnicity, geography, income, household and more — linked to each panelist and included with every product.
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Full-history ChatGPT conversations — user prompts, AI responses, and every citation utilized — showing how AI shapes brand discovery and purchase decisions. Account-level, cross-device coverage.
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App usage tracked at the domain level — open/close events, session duration, and frequency of use, with bundle ID and category per session.
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Mobile web clickstream — page domain and full URL (domain-only on iOS), the referrer chain, search terms, and category.
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In-app and mobile-web streaming actions inside YouTube, Netflix, Amazon Prime and Disney+ — series/episode, ad flag, category, and watch duration.
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In-app and mobile-web audio streaming inside Spotify, Pandora, iHeart and other audio apps — track or podcast, artist, album, and listen duration.
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Location visitation data including address, latitude/longitude, business name, entry/exit timestamps, and dwell time across 750,000+ tracked commercial locations nationwide. Trade zone analysis ready through home and office lat/lon data.
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In-app social media advertising exposure inside Facebook, Instagram, X and TikTok — advertiser, promotion type, and exposure duration. Ads between Instagram Stories are not currently supported.
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DoorDash and Uber Eats transaction history — platform, order frequency, spend, cuisine category, and fulfillment detail.
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Transaction-level consumer purchases captured via e-receipts and directly from Amazon accounts — both receipt-level data (store, timestamp, total spend) and line-item detail (product, quantity, pricing and discounts), joined on RECEIPT_ID.
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Attitudes, opinions, and intent — from recurring monthly surveys.
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PANELIST_ID numeric | DIMENSION text | RESPONSE text | SCALE categorical | SURVEYED_AT datetime |
|---|---|---|---|---|
| 6679936 | purchase_intent | Likely to buy EV | Agree | 2026-06-01 10:14 |
| 6680048 | brand_affinity | Prefers store brands | Strongly agree | 2026-06-01 14:32 |
| 6681311 | lifestyle | Health-conscious | Agree | 2026-06-01 09:05 |
| 6680350 | opinion | Optimistic on economy | Neutral | 2026-06-01 17:48 |