The People Behind Mediaura Signal
We Built This Because We Got Tired of Watching Marketing Data Lie
Mediaura Signal was built by a 23-year-old performance marketing agency with an unusual problem: we've spent more than two decades fixing the same broken marketing infrastructure for clients across healthcare, restaurants, and B2B, and we got tired of solving it one engagement at a time.
So we built the system we wished existed.
This is who we are, why we built it, and why we're the right people to build it.
A Performance Marketing Firm Built on Engineering DNA
Mediaura launched in July 2003. We're now in our 23rd year. In that time, we've engineered marketing infrastructure for behavioral health treatment centers, multi-location restaurant brands, regulated B2B operators, and enterprise organizations most agencies don't get a second meeting with.
The unusual part — and the reason Mediaura Signal exists — is what we built before we became a performance marketing firm.
Andrew Aebersold (Mediaura's founder) built an internal marketing resource portal for Brown-Forman that organized brand assets, activation guidance, and best practices for Jack Daniel's, Southern Comfort, and the rest of the portfolio. At a time when most companies were still figuring out basic websites, the platform became a central library for marketing materials used across events, retail environments, and brand activations. This was years before "marketing technology" was a phrase anyone used.
Across the next decade, Mediaura built marketing infrastructure for Darden Restaurants, Community Health Systems, KFC, the Kentucky Community & Technical College System, and others. Hundreds of locations creating on-brand materials automatically. Multi-stage approval workflows. Cross-channel content adaptation at scale.
Using proprietary software called ProBuilder, Mediaura built one of the first cloud-based digital signage platforms for restaurant menu boards — a drag-and-drop web interface with scheduling and point-of-sale integration that powered KFC's digital menu boards across its restaurants for several years. The system was granted US Patent 9,575,614, Integrated Content Display System and Method, with priority back to a provisional filing on April 4, 2008. Inventor: Andrew Aebersold.
Around 2009, clients building software with us started asking us to run their marketing programs. The first one was Remuda Ranch, a behavioral healthcare provider with a Google Ads program that wasn't performing. We took it over, audited the existing campaigns, and produced better results in three months using a third of the previous budget.
That wasn't a campaign improvement. It was an infrastructure repair. The previous agency had never built the systems the campaigns needed to run on, and nobody — not the agency, not the platform, not the client — had noticed.
Most marketing agencies don't actually understand the systems behind marketing performance. We thought to look there because we'd spent the previous decade building the pixels.
Performance marketing became a larger and larger part of the business. By 2024, we made it official: Mediaura formally stepped away from custom client software development to focus the company entirely on performance marketing. The engineering mindset never went anywhere — we just stopped building software for other people and started using it to make marketing work for our clients.
Andrew Aebersold
Why a Software Engineer Built a Marketing Platform
I've been programming since I was a kid. I built websites and custom software through the late 1990s while I was running a record label, and the consulting work eventually eclipsed the music business. Brown-Forman was my first big enterprise project. Mediaura is what came next.
For 23 years I've sat at the intersection of marketing and software, and the same pattern keeps repeating: marketing data is broken in ways that nobody in the marketing chain is equipped to find, and the consequences compound silently until somebody finally checks.
Most of my career has been being the person who finally checks. I have walked into more "successful" marketing programs than I can count and found pixels that hadn't fired in months, conversion APIs reporting back to the wrong account, identity stitching that treated one customer as four, attribution windows that ignored the actual sales cycle, and CMOs making seven-figure budget decisions on dashboards that didn't reflect reality. Almost every time, I could trace it back to a system that nobody owned, that nobody monitored, and that nobody had bothered to validate against actual revenue.
The thing that made me finally build Mediaura Signal — instead of continuing to solve the same problems one client at a time — happened in early 2026. New AI-assisted development tools made it possible to build sophisticated software dramatically faster than the old way. Things that would have been 18-month engineering investments became 6-week sprints. I started building again, this time aimed entirely at the problems that have frustrated me for two decades:
- Marketing data that lies because the tracking is broken
- Attribution models that report correlation as causation
- AI marketing tools that hallucinate KPIs and hand them to CFOs
- "Insights" that are just dashboards rearranged
- The chasm between what marketing platforms claim drove revenue and what actually drove revenue
Mediaura Signal is the system I would have built ten years ago if the tools had let me. Now they do, so I did.
I love discovering the truth, and I hate fluff and fake data. That's the entire emotional engine behind this project. Every architectural decision in Mediaura Signal — the four-layer PHI scrubbing, the stability gate that refuses to publish numbers it doesn't trust, the future-spend placebo test that catches reverse causality, the tool-use architecture that makes Aura incapable of inventing a number — comes from the same place: a 23-year accumulation of frustration with software systems that confidently report things that aren't true.
If you're a marketing operator or a CFO who has felt that same frustration — who has read a dashboard, suspected the number was wrong, and had no way to prove it — Mediaura Signal was built for you.
—Andrew
What Mediaura Signal Is Trying to Be
Mediaura Signal is not a SaaS product, and we're not trying to make it one. It's a marketing intelligence system that ships as part of a Mediaura engagement, refined against real client data, operated by the engineering team that built it.
Build the system that produces the truth about marketing performance.
Not approximations of the truth, not platform-flattering versions of the truth, not the truth filtered through whatever the dashboard happens to show. The actual answer to "what did this campaign cause to happen, in real dollars, with the math your CFO would accept." Most of the marketing industry has settled for less than this. We don't think anyone has to.
Make it work for the businesses where the answer is hardest.
Multi-location restaurants where the sale happens in person and the journey runs across digital, foot traffic, and weather. Behavioral health treatment centers where the path from ad to admit runs through PHI-restricted intake systems. B2B operators with 127-day sales cycles and pipeline that the standard analytics tools give up on after 30. These are the verticals we know best, and they're the ones where the existing tools fail hardest.
Wrap it in a system, not a tool.
Mediaura Signal includes the tracking infrastructure, the identity layer, the revenue mapping, the causal modeling, the AI analyst, and the marketing team that knows what to do with the outputs. The math without the team is a research project. The team without the math is an agency. Together they're a system, and the system is the moat.
Tell the truth about what's built and what isn't.
Every page on this site has a "what's shipped today / what's in development / what's roadmap" inventory, because we've watched too many marketing platforms launch with vapor and lose their credibility before they earned a chance to build anything real. We'd rather underclaim and overdeliver. There's a section on the causal engine page that admits Layer 6 isn't built yet. That's intentional, and we're not going to stop doing it.
Production Deployments
Where We've Been Refining the System
Mediaura Signal isn't a launch announcement for software that doesn't exist yet. It's a launch announcement for software that's been running in production against real client data, refined across three pilot deployments — one in each of our core verticals.
A multi-location regional restaurant brand
LiveEight data sources unified into a daily signal layer; dual predictive and causal models trained per location; James-Stein hierarchical pooling across the portfolio; daily lift decomposition feeding the attribution dashboard and Aura. This is the deployment that hardened the stability gate, the future-spend placebo test, and the market-type covariates for tourist vs. suburban locations.
Two behavioral health facilities
LiveThe same core engine, plus scenario forecasting tied to the admission funnel (lead → verified benefit → admission). This is the deployment that proved Mediaura Signal could operate end-to-end inside a HIPAA-compliant pipeline and that the causal coefficients held up against the longer, higher-stakes conversion windows of healthcare.
A B2B professional services client
Attribution live Causal in developmentThe attribution layer is live in production today (Weibull adstock decay, campaign matching, deal-level classification, full dashboard, and Aura). The full causal modeling layer for long-cycle B2B deals is in active development; long sales cycles require additional modeling work that we're rolling out through 2026. Honest framing, real progress.
We're now opening Mediaura Signal to a broader set of clients, and this site is the formal start of that.
Three pilot deployments isn't fifty case studies. It's something more honest: it's what we have, and we're showing it to you on purpose.
A Few Things We Believe About Marketing Data
These aren't taglines. They're the operating principles we run the system on.
Most marketing data is silently broken, and nobody is checking.
Tracking infrastructure decays the moment it's deployed. Pixels stop firing after a release. Conversion APIs report to the wrong account. The data your CMO is making decisions on is almost always less reliable than your CMO believes, and the gap between "what the dashboard shows" and "what actually happened" is where most marketing budgets are lost.
Attribution is not causation.
Every attribution platform on the market answers the question of who got credit. Almost none of them answer the question of who actually caused the revenue. These are not the same question, and the gap between them is where CFOs lose trust in marketing.
AI tools that hallucinate are worse than no AI tools.
A confident wrong number is more dangerous than admitting you don't know, because confident wrong numbers get repeated in board meetings. We built Aura on a tool-use architecture specifically so it cannot invent a KPI under any circumstance. The architectural property is more important than the cleverness of the language model on top of it.
A system that refuses to publish a number it doesn't trust is more valuable than a system that publishes everything.
The stability gate in M-CE rejects coefficients it can't defend. That restraint is the entire reason its outputs are worth acting on.
Specificity is credibility.
Vague claims read as marketing. Specific claims read as facts. We name the integrations, name the math, name the validation tests, name the pilots, name the things we haven't built yet. Every time we've been tempted to round a number up or hand-wave a capability, we've tried to do the opposite instead.
The marketing data has a much larger context window than the database.
A storm cut traffic for two days. A general manager went on bereavement leave. A new competitor opened across the street. None of this is in your POS or your ad platform, and all of it explains anomalies that the data alone can't. Aura's notes layer exists because we believe the human context matters as much as the structured data.
Restraint is the rarest signal in this market.
Every other AI platform is overpromising right now. We'd rather build something defensible and tell you exactly what it does, even if that means a slower launch and a less spectacular pitch deck. The clients we want are the clients who notice the difference.
Talk to Us About What's Actually Broken
The fastest way to understand whether Mediaura Signal is right for you is to spend 30 minutes letting one of our engineers look at your current marketing infrastructure. Most of the time we find something broken inside the first fifteen minutes. We'll show you exactly what.
What happens next:
- 30-minute working session with a Mediaura engineer (not a sales rep)
- Live audit of your tracking, attribution, and integration gaps
- A specific list of what's broken and what it's costing you
- An honest conversation about whether Mediaura Signal is the right fit