signal Powered by Aura™
See the Unseen in Your Marketing Data
Mediaura Signal captures every marketing signal at the source, ties every campaign to real revenue, and runs the four measurement methods serious analysts use, anchored to experimental evidence and fused into one defensible answer.
The Problem
Every Marketing Report You're Reading Is Built on Four Broken Assumptions
Traditional attribution platforms analyze your data. They don't fix it. And when the inputs are broken, better dashboards just give you prettier wrong answers.
Tracking Decays Silently
Tags accumulate. Properties duplicate. A developer ships a release, and a pixel quietly stops firing. By the time anyone notices, you've made three months of budget decisions on corrupted data.
Identity Fractures Across the Journey
A customer sees an ad on their phone, researches on a laptop, calls your front desk, and walks into a store. Your analytics sees four strangers. You paid to acquire one customer and got credit for none.
Platforms Grade Their Own Homework
Google reports Google's wins. Meta reports Meta's. Add them up and you've "driven" 240% of your actual revenue. You need an independent source of truth that has no stake in the answer.
Revenue Lives Where Your Tracking Doesn't
The transaction happens at the POS, in the CRM, on the phone, or at the front desk. If your attribution can't reach those systems, you're optimizing toward form fills and hoping they correlate with money. They usually don't.
Mediaura Signal is designed to solve all four as one connected system.
The Platform
Mediaura Signal
Powered by Aura. Four layers, one system. Each layer depends on the one beneath it, which is why bolt-on attribution tools fail and Mediaura Signal doesn't.
You don't need to change vendors to use it. Mediaura Signal is the measurement layer that works alongside whatever team is running your marketing: your current agency, your in-house team, or Mediaura itself. The truth layer should be independent of whoever's buying the media. That independence is what makes the numbers trustworthy.
Aura Tracker
First-party signal capture, built for the systems your business actually runs on.
The tracking infrastructure runs on your domain. It captures events that off-the-shelf pixels miss and bridges systems that have spent the last decade refusing to talk to each other: Leadfeeder to HubSpot, CallRail to your CRM, POS to the ad platforms. HIPAA-compliant by design, BAA included, live in production today.
Learn about Aura Tracker →Identity Resolution
One customer, not four strangers.
Every signal Aura Tracker captures gets stitched to a single customer record across devices, sessions, and offline touchpoints. Privacy-compliant, first-party, built for a world without third-party cookies.
Revenue Mapping
Connecting marketing to money, not proxies for money.
Every closed transaction (POS, CRM, EMR, phone, walk-in) is mapped back through the customer journey to the campaigns, creatives, and channels that earned it. Cross-channel. Cross-device. Across long sales cycles.
The Mediaura Causal Engine (M-CE)
Causal evidence with quantified confidence. Not attribution.
A six-layer causal modeling pipeline that runs predictive and causal models in parallel, validates them against real booked revenue, and refuses to publish numbers it can't defend. When M-CE says a channel drove $340K last month, it means that channel caused $340K that wouldn't have happened otherwise: the confidence interval is visible, the future-spend placebo test confirms the model isn't measuring reverse causality, and the James-Stein hierarchical pooling diagnostics are auditable on click.
This is the math your CFO has been asking marketing for since 2015.
Learn about M-CE →The Methodology
Four Measurement Methods. One Defensible Number.
Most platforms pick one method and hope. Mediaura runs all four, because each one is the right answer to a different question.
Marketing measurement has four legitimate methods, and they don't agree with each other. They shouldn't: they're answering different questions. The work that matters is reconciling them into a single number you can take to your board, with the confidence in that number quantified and the disagreements visible.
Funnel reporting
What happened?
The descriptive view. Impressions, clicks, leads, transactions, by channel, by location. The daily operational truth. Necessary, but never causal.
Multi-touch attribution
Who touched what?
The correlational view. How customers moved through the journey and which touches saw the converters. Useful for journey design and creative iteration. Not the answer to "did the marketing work."
Causal experiments
What did the marketing actually cause?
This is M-CE territory: geo-holdouts, natural-experiment detection, observational lift with quantified uncertainty. The only layer that answers the counterfactual: what would have happened without the spend.
Marketing mix modeling
How should the budget combine?
Industry-standard MMM, run as two engines (Meridian and Robyn) in parallel, with their agreement itself becoming a confidence signal. Captures adstock, saturation, cross-channel interactions, baseline demand.
The Reconciliation Engine
One posterior. Four supporting estimates. Method disagreement surfaced, not papered over.
The Mediaura reconciliation engine anchors the strategic methods to experimental ground truth, fuses the layer estimates into a single posterior with quantified confidence, and surfaces method disagreement instead of papering over it. Quality gates exclude blown-up MMM fits (the kind that report a channel driving more revenue than the business actually made) before they reach the fusion math.
When the four methods agree on a channel, the answer is tight. When they disagree, the confidence interval widens automatically, and that channel becomes the next geo-holdout in the experimentation queue. The system gets more confident over time by design.
What you see
One number for the board, with confidence visible. The four supporting estimates, one click away. The questions that aren't yet answered, queued as the next experiment.
Strategic decisions use the fused number. Tactical decisions use the operational view. The platform enforces that distinction, so nobody screenshots the strategic number and uses it to justify a daily campaign call.
Bold patterns.
Boring rigor.
That's the combination.
The Intelligence Layer
Meet Aura
Your AI marketing analyst that doesn't make things up.
Aura is the agentic AI layer built into Mediaura Signal. Ask it anything:
Aura answers in plain English. But here's what makes it different from every other AI marketing assistant on the market:
Aura doesn't do the math.
Aura calls the tools that do the math.
When you ask Aura a question, it doesn't guess, summarize, or hallucinate a number. It calls into Aura Tracker for the raw signal, into Identity Resolution to stitch the journey, into Revenue Mapping to find the dollars, into M-CE for the causal model, into Meridian or Robyn for the MMM view, and into the reconciliation engine for the fused estimate. Every number Aura cites came from a tool that queried your real data.
The result: an AI analyst that's as fast as a chatbot, as rigorous as your data science team, and incapable of inventing a number that isn't backed by your actual data. No hallucinated KPIs. No confidently wrong answers. No "the AI said it, so it must be true" landmines waiting in your next board deck.
Because Aura is grounded in real, queryable data rather than pattern-matching against a training set, it can surface patterns no human analyst would find on their own: the lift from Meta when it runs three days before a Google-branded search, the cannibalization between two locations in the same DMA, the weather coefficient that explains why your Tuesday admits drop every February, and the channels where the four measurement methods disagree, with a plain-English explanation of why, instead of hiding the disagreement behind a single number.
Bold patterns. Boring rigor.
What Changes When You Run on Mediaura Signal
Industries
Specialized for How Your Revenue Actually Happens
Every industry has a different attribution failure mode. Mediaura Signal is configured per vertical to solve the one that's costing you money.
Restaurants & Multi-Location Retail
Know which campaigns drove sales by location, by daypart, by dollar.
Most restaurant marketing tools count clicks and online orders. Mediaura Signal counts the check at the table. We connect your ad spend to your POS (Toast, Square, Olo, whatever you run) across every location, and we run the four-method reconciliation per location, so a Cincinnati Tuesday doesn't get measured the same way as a Charleston Saturday.
- Per-location causal measurement (not just attribution)
- POS integration (Toast, Square, Olo, and more)
- Foot traffic and trade-area modeling via Placer.ai
- Daypart and LTO performance, tied to revenue
- Multi-location budget reallocation based on actual measured lift
- Natural-experiment detection (new openings, competitor closures, weather events) as the causal anchor
Healthcare & Behavioral Health
HIPAA-compliant causal measurement from the first click to the patient's admission.
In healthcare, the conversion isn't a form: it's an admission. And the path from ad to admit runs through PHI-restricted systems where most attribution tools legally cannot operate. Mediaura Signal was built from the ground up for this. The four-method reconciliation includes BizDev-influenced admits as a second outcome, so digital's halo into referral-driven admits gets measured instead of guessed at.
- HIPAA-compliant signal infrastructure (BAA included)
- 50 of the first 100 LegitScript-certified providers onboarded by Mediaura
- Causal measurement from first click → inquiry → assessment → admit
- Compliant integration with EMRs, CRMs, and call tracking
- Per-channel patient acquisition cost with calibrated confidence intervals
- Digital halo into BizDev admits, measured (not guessed)
B2B & Professional Services
Track revenue across 6-month sales cycles, not 6-day attribution windows.
Standard analytics gives up after 30 days. Your sales cycle is 127. Mediaura Signal traces digital influence across the entire lifecycle of a deal, from the first anonymous visit to the closed contract, and reconciles it against your CRM, so marketing finally gets credit for the pipeline it actually built. The attribution and reconciliation layers are live today; the full causal modeling layer for long-cycle B2B deals is in active development through 2026.
- Long-cycle, multi-touch journey reconstruction
- CRM integration (Salesforce, HubSpot, Pipedrive)
- Account-level journey reconstruction
- Pipeline influence reporting your CFO will accept
- Causal modeling for long-cycle B2B in active development (2026 rollout)
See What's Hiding in Your Marketing Data
Most demos we run uncover broken tracking and missing revenue inside the first fifteen minutes. We'll show you yours.
What happens next:
- 30-minute working session with a Mediaura engineer (not a sales rep)
- Live audit of your current tracking and attribution gaps
- A specific, prioritized list of what's broken and what it's costing you
- Industry-relevant case studies and a clear path to value