Engineering causal truth in marketing measurement.
Signal Depth is a marketing measurement platform that helps mid-market brands prove the true incremental impact of their media spend. We replace fragile, cookie-based tracking with rigorous, open-source data science.
Measurement is a confidence game that brands are losing.
For the last decade, the marketing industry relied on a flawed premise: that a cookie could accurately track the complex journey of a modern consumer. Today, privacy protocols like ATT and the deprecation of third-party cookies have rendered deterministic tracking obsolete.
This created the Measurement Gap. Marketing teams report profitable platform ROAS, agencies report brand lift, and Marketing Mix Models (MMM) offer sluggish, conservative views. To navigate this, enterprise brands shifted to geographic testing (Geo-Experiments) to find causal truth, but these tests require heavy data science resources, 12-week lead times, and campaign blackouts.
Signal Depth was founded to give mid-market marketing teams access to the same econometric rigor used by the Fortune 500—without the black-box math, the need for an in-house data science team, or the six-figure price tags demanded by legacy measurement vendors.
Alex Robb
Co-Founder & Chief Data Scientist
“I spent 18 years in analytics, including 14 years at Google working on measurement teams for enterprise brands. I saw first-hand how much money is wasted optimizing to flawed attribution. We built Signal Depth because causal measurement should be available to all marketing teams.”
Our Platform & Methodology
Signal Depth is a SaaS platform that automates quasi-experimental design. If a methodology isn’t reproducible by your own data science team, it’s an opinion, not science. That’s why our infrastructure is built exclusively on gold-standard, open-source frameworks.
Synthetic Control Method (SCM)
We utilize the Synthetic Control Method and Generalized Synthetic Control (GSC) powered by Meta’s GeoLift and Google’s Meridian architectures. Instead of relying on a flawed “control city,” our platform mathematically constructs a “Digital Twin” of your test market using historical data, enabling highly accurate baseline forecasting.
Automated Power Analysis & MDE
Never run an underpowered test again. Signal Depth simulates thousands of hypothetical tests on your historical data to calculate the Minimum Detectable Effect (MDE). We tell you exactly how much budget, which markets, and what duration is required to achieve statistical significance before you spend a dollar.
The “Janitor” Data Integrity Layer
Measurement projects die on messy data. Our platform automates the data science heavy lifting: outlier winsorization, missing value interpolation, L2 Regularization (Ridge Regression) to prevent overfitting, and enforcing SUTVA (Stable Unit Treatment Value Assumption) through geographic buffer zones.
Multi-Placebo Noise Validation
Signal Depth automatically runs rolling In-Time Placebo tests (A/A testing) across your historical data to calculate natural baseline variance. We automatically subtract this detected “noise” from your raw incremental revenue, delivering a CFO-approved, risk-adjusted iROAS.
Our Operating Principles
Zero Cookie Dependency
Client-side tracking is a privacy risk and a data quality nightmare. We strictly use your first-party, aggregate geographic revenue data (DMA, Zip, or State) and platform ad spend. No PII, no cookies, no compliance headaches.
Causation Over Correlation
Multi-Touch Attribution (MTA) relies on correlation—rewarding platforms for sales that would have happened naturally. We measure causality: Did this specific media investment create a conversion that would not have existed otherwise?
Empowering the Marketer
Causal inference software historically required SQL, Python, or R expertise. We built Signal Depth to output executive-ready reporting. You upload a CSV, and we deliver the Calibration Multipliers, Cost Per Incremental Conversion (CPIC) and iROAS metrics required to defend your budget.
Software Economics, Not Consulting Retainers
The industry standard for causal measurement has long been gated behind expensive managed services and six-figure annual contracts. We believe finding the truth shouldn’t be a luxury. We deliver enterprise-grade infrastructure at a fraction of the cost, built specifically for the mid-market.
Clear marketing answers.
Join the enterprise marketing teams using Signal Depth to run retrospective geo-audits, establish their baseline, and prove the causal impact of their media mix.