Quorum turns your web, CTV, programmatic and OOH logs into one structured dataset an LLM can actually use — resolved to ~74.6M real U.S. households, and carrying the dimension analytics never had: whether they walked in. Drop a pixel, get your data back as an asset you own, and ask it questions in plain English.
Media exposure, website traffic and real-world visits — resolved to the same household. Every pathway between them is a question you can finally answer. And the whole graph sits inside your environment: queried by your own LLM over MCP, and matched against your own first-party data under clean-room controls.
Before you spend: which publishers, day-parts and markets over-index on the people who actually visit your category.
What happened, in outcomes rather than proxies — web visits and store visits per impression, per dollar.
Mid-flight, not post-mortem. Shift weight to the inventory converting in the real world while the flight is still live.
Turn the finding into an audience — real visitors, suppressions and lookalikes, pushed to your seat.
See what is working and what is not — against real-world action, not clicks, views or modeled proxies. The same number for every channel, so the comparison is finally fair.
Mine the deeper pockets. The publishers, creatives, day-parts, zip codes and store clusters that over-index quietly — the opportunity nobody found because nobody could see this join before.
Today each of these is a different vendor, a different study, a different six-week wait. On one household spine they are the same query with different arguments — and they compose.
| → Website visit | → Store visit | → Audience to activate | |
|---|---|---|---|
| CTV & streaming | Which shows and apps send people to my site — and at what rate versus the households that never saw the ad? | Which CTV inventory drives walk-ins. Publisher, creative, day-part and store, mid-flight instead of post-mortem. | Retarget the households that saw the spot but never showed up — or suppress the ones who already did. |
| Web & programmatic | Is this traffic real? How much of what you paid for resolves to a real, in-market U.S. household. | Which on-site behavior predicts a visit — which pages, which sources, which segments actually convert offline. | Build a lookalike from your visitors who also visit physical places, not from a modeled interest bucket. |
| Out-of-home | Did the board move search and site traffic? Exposure measured from the viewshed, not a tag. | Did the board move footfall — to your door, and away from the competitor down the block? | Reach the commuters a placement actually exposed, on CTV and the open web. |
| Your 1P data | Match your CRM under clean-room controls and see which customers came back. | Where else your customers shop — cross-shop, conquest, and which competitors are taking share. | Grow it: audiences that look like your best real-world customers, pushed to your seat. |
Same pixel. Same household graph. Same plain-English interface. No new integration per question.
No sales call to see it work. The public tools answer questions right now with no account at all; the account is what turns your own media into a dataset.
Add mcp.quorum.live/mcp as a connector in Claude, ChatGPT or Gemini and ask about any brand’s shoppers, foot traffic or cross-shop. Five tools, no login, no card.
Create an account and we issue your web pixel and your impression pixel — one tag for your site, one tracker URL for any DSP, with the macros pre-filled per platform. Paste and go.
Within a day of first traffic your data is household-resolved and queryable — in the app, over the REST API, or by asking your LLM. Store visits attach as soon as your locations are matched.
<script src="https://d27vf9ijvhczsn.cloudfront.net/q.js" data-adv="YOUR_ID"></script>
https://d27vf9ijvhczsn.cloudfront.net/pixel.gif?adv=YOUR_ID&imp=${AUCTION_ID}
Your real tags come pre-filled with the right macros for The Trade Desk, DV360, Xandr, MNTN, Roku, Yahoo and FreeWheel.
Not another dashboard to learn. Quorum is a structured dataset your model can query — the same web traffic an analytics tool sees, plus the channels it never saw and the outcome it never had. Ask in plain English, or wire it into your own LLM views and join it against your 1P data under clean-room controls. The panel here is not a mockup: it is querying our live MCP server right now.
MCP connector: mcp.quorum.live/mcp · aggregate · privacy-safe · read-only
You do not have to tag anything to get value on day one. Pick the physical retailers, restaurants and venues whose real visitors you want to reach — from the 736,984 venues Quorum already tracks — and we deliver that audience to your seat, with a report explaining exactly who is in it.
Year-over-year change in each brand's share of its category's store visits — deterministic foot traffic across ~74.6M opt-in U.S. households (H2 2024 → H2 2025). Free, public, and re-runnable in diligence — pick a category, or see how the Cannes Lions 2026 entrants moved.
Browse the full Movement Index → · 82 brands, one page each, free to read and cite
Method: share = each chain's portion of total category store visits, resolved deterministically from opt-in device visits. Change is same-store (only locations active in both periods) and outlier-trimmed (implausible swings excluded) so it reflects real visitation, not coverage or sample changes; category-relative, controlling for seasonality and panel growth. Aggregate, k-anonymous — never PII. 🏆 = entered in Cannes Lions 2026; movement is not attributed to creative.
Built entirely from 100% opt-in device signals, resolved to ~74.6M households, reported as k-anonymous aggregates — independent of every platform it measures, auditable, never PII. We refine your data; we never take it. Honest coverage on every answer, never "we see everyone." That's how it earns a place in your stack.
Quorum enriches the platforms and partners already moving your spend — refining their data instead of replacing it. Built to plug into the modern programmatic & CTV stack.
Built on Snowflake, AWS & Anthropic, and wired into The Trade Desk & LiveRamp — so Quorum meets your data where it already lives and activates where you already buy. Share securely through Snowflake, deploy in your own cloud, and query in plain language over MCP.
Point your DSP impression tracker at a Quorum pixel URL, or send us your impression logs. We resolve the exposed devices to households in a ~74.6M-household opt-in graph, then check those same households against deterministic visits to your locations. You get a visit rate for exposed households versus an unexposed baseline, broken out by publisher, creative, day-part and store — readable in the app, over the API, or by asking your LLM.
Yes. Quorum runs an MCP server at mcp.quorum.live/mcp. Five core tools work with no account and no authentication, so any MCP-capable agent can start asking immediately. Adding your Quorum token unlocks your own tagged data: attribution, pixel health, traffic grading and audience building.
A structured, agent-queryable dataset instead of a dashboard. We ingest website pixel traffic the way an analytics tool does, but resolve it to households, add the channels analytics never saw (CTV, programmatic, out-of-home) and add the outcome analytics never had (physical store visits). You ask questions instead of clicking reports, and every answer is aggregate and k-anonymous.
You cannot pixel a billboard, so OOH exposure is measured from device presence in the placement’s viewshed rather than from a tag. Those exposed devices resolve to households and then run through exactly the same outcome measurement as any other channel — website visits and store visits.
Yes — it is a product on its own. We track 736,984 hand-drawn venues, so you can select the retailers, restaurants and venues whose visitors you want, scope by geography and recency, and deliver to The Trade Desk directly or through LiveRamp to most other platforms. Every audience ships with a description report: who is in it, where they live, what else they visit. Open the builder →
No. Web-only advertisers use Quorum for traffic quality, visitor profiling, cross-shop and audience building. If you do have locations and they are already among the venues we track, store-visit attribution turns on immediately; if not, our cartography team maps them (typically a one-time build).
Every signal is 100% opt-in. Answers come back as k-anonymous aggregates with a floor of 50 households — no PII and no household-level records leave the platform. We refine the data you give us; we never resell it. First-party matching runs under clean-room controls, and independence is methodological: the objectivity does not depend on who owns us. Privacy policy →
Pricing depends on how much volume you run through the platform, and every plan includes every capability — the difference is throughput, not features. Tell us what you are measuring and we will quote it: sales@quorum.inc.
Reporting: app.quorum.live/login · API docs: api.quorum.live/documentation · MCP: mcp.quorum.live/mcp · Movement Index: quorum.inc/index · Audiences: quorum.inc/audiences · Sales: sales@quorum.inc · Privacy: app.quorum.live/privacy