How It Works
Four Layers. One Job: Measure What Caused What.
Causal measurement is only as good as the data underneath it. That's why Signal is built as one connected system, not a bolt-on dashboard, and why each layer exists to make the one above it trustworthy.
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Signal Tracker
First-party capture on your own domain. It records the events off-the-shelf pixels miss and connects the systems that don't talk to each other. For retail, restaurant, and B2B clients, Signal can send verified conversions back to your ad platforms and write attribution into your CRM. In healthcare deployments, those paths are off by design, and no Order Form can turn them on. Built for HIPAA-regulated organizations. Business Associate Agreement included. Live in production today.
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Identity Resolution
One customer, not four strangers. Events are stitched to a single customer record across devices, sessions, and offline touchpoints wherever the data supports the match.
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Revenue Mapping
Marketing connected to money, not proxies for money. Closed transactions, whether they land in the POS, the CRM, the EMR, or on a phone call, are mapped back to the campaigns that earned them. When sources disagree, Signal doesn't quietly pick a winner. Conflicts go to a review queue, and any differences that remain are disclosed alongside the result.
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The Mediaura Causal Engine (M-CE)
The layer that answers the question the rest of the industry avoids: what would have happened without the spend? M-CE runs multiple independent models, validates them against geo-holdout experiments where you run them, and refuses to publish a number it can't defend. When a geo-holdout design is in place, Signal's results are causal estimates. Without one, they're statistical associations, and Signal labels them that way.
When it estimates a channel caused $340K, it means an estimated $340K that would not have happened otherwise, with the range shown, and the evidence behind that estimate is one click away.
Want the full methodology, every model, every validation step, every diagnostic? It's documented in full.
How the Math WorksThe Intelligence Layer
Meet Aura: The Analyst That Shows Its Work
Aura is how you talk to everything above. Ask a question in plain English, get an answer backed by your latest data.
“Why did cost per admission spike in Cincinnati last week?”
“What happens if we move 20% of Meta budget to Google?”
“Which locations actually gained from the LTO?”
Here’s what makes Aura different from AI assistants that generate their own numbers: Aura doesn’t do math. Every figure comes from the statistical engines, and Aura explains what they found. It works inside the platform under the same BAA as everything else. Review its summaries the way you’d review an analyst’s.
And every Monday at 7 AM, Aura reviews the entire previous week on its own, every channel, location, and campaign, and writes your team a short narrative report: what mattered, why, and what to do about it. It’s on the executive’s desk before the first cup of coffee, which means Monday’s meeting starts at the conclusion instead of the pulling-up-of-numbers.
Start With the Fit Check
Free and honest, with no obligation on your side. If your data can support causal conclusions, you'll get a written fixed-fee quote and timeline. If it can't, you'll know that too.
Start the Fit Check →