Detection · features · trends, alerts, reports
Detection with the cause attached.
Continuous detection across every account — over 1,900 algorithms, every ~3 hours — with the cause attached, and the report that turns it into a stakeholder-ready story.
What it is
A baseline trained on your account — not a generic benchmark.
A forecasting model trained on the account's own history defines “normal,” so alerts fire on what matters and arrive as digests — not a stream of pings.
More than 1,900 detection algorithms run against that baseline on every account. Spend spikes and silent campaigns surface before they compound — even on a Saturday. The pattern detection that eats an analyst's week, running continuously.
How it works
The features behind Signal.
1,900+ detection algorithms, every ~3 hours.
More than 1,900 detection algorithms run against the full record — context, setup, metrics — every ~3 hours, and connect each finding to its cause via causal inference.
Forecast-backed monitoring.
A model trained on the account's own history sets the baseline; pacing, spend and conversion alerts arrive in Slack, bundled as digests.
Stakeholder-tailored rundowns, on schedule.
Executive summaries, platform-by-platform analysis, audience and creative insights — with recommendations attached.
What it leans on
The supporting capabilities doing the heavy lifting behind Signal.
A forecast trained on each account's history defines “normal” — not a generic industry benchmark.
Each finding is tied to the change that caused it, so a result arrives with the why attached.
Findings arrive grouped on the schedule you set — not as an endless stream of pings.
Detection runs continuously around the clock, so issues surface before they compound.
1,900+ algorithms. Every ~3 hours.
Questions
Signal, in plain English.
- How do you avoid alert fatigue?
- Alerts are forecast-backed and bundled as digests. A model trained on your own history sets the baseline, so notifications fire on what's meaningful — not on every fluctuation.
- Does every alert explain itself?
- Yes. Detection runs against the full record and connects each finding to its cause through causal inference, so a finding arrives with the why already attached.
- Who are reports for?
- Reports are stakeholder-tailored: executive summaries, platform-by-platform analysis, and audience and creative insights — each with recommendations attached, on a schedule you set.
Get started
You got into this to create. Not to guess.
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