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Documentation Index

Fetch the complete documentation index at: https://docs.marcenta.ai/llms.txt

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Flags are automatically generated alerts that tell you when something noteworthy has happened in your marketing data. Marcenta runs anomaly detectors across your connected data sources and surfaces two types of findings: Regressions (drops or problems) and Opportunities (positive shifts you can capitalize on). You don’t need to set thresholds manually—the system detects significant metric changes relative to prior periods and assigns a severity level to each finding. Select Flags in the left sidebar. The page opens with Regressions selected in the left panel by default, showing you the most recent anomalies that need attention.

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Types of flags

Regressions

A metric has declined in a way that warrants attention. For metrics like CTR, conversions, and sessions, a negative delta is a regression. For cost-efficiency metrics like CPC or average position (where lower is better), a positive delta is a regression.

Opportunities

A metric has improved significantly. These flags highlight positive momentum you may want to reinforce or replicate across other campaigns or channels.

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Severity levels

Every flag carries a severity rating so you can prioritize what to investigate first.
SeverityMeaning
Very highA large, statistically significant change that likely requires immediate attention
HighA notable change that warrants prompt investigation
MediumA moderate shift worth monitoring
LowA smaller change that may be within normal variance
Very lowA minimal shift; informational only
Use the severity filter in the left sidebar to narrow the list. Select High to see only high-severity flags, or leave it at All to see everything for the selected type.

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What information a flag contains

Each flag in the table shows you:
  • Metric — the specific metric that changed (e.g., clicks, ctr_pct, conversions, bounce_rate_pct)
  • Detector — the anomaly detector that generated the flag
  • Source system — the connected data source where the change was observed
  • Entity type — the level at which the anomaly was detected (e.g., global, campaign, channel)
  • Observed at — when the anomaly was recorded
  • Delta % — the percentage change compared to the prior period
  • Current value — the observed metric value at the time of detection
  • Previous value — the baseline metric value used for comparison
Select any row to open the flag detail view, which includes an AI-generated explanation of the anomaly, a trend chart, and a breakdown of which campaigns or channels contributed most to the change.

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Manage a flag

From the flag detail view, you can:
  • Acknowledge the flag to mark it as reviewed
  • Mute the flag to suppress it without resolving it
  • Resolve the flag once the underlying issue has been addressed
  • Assign the flag to yourself, a teammate, or to Marcenta’s AI agent for investigation
  • Add a comment to the activity log to document your findings
Once a flag is resolved, you cannot move it back to another status. Only resolve a flag when the underlying issue has been fully addressed.

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Run detectors manually

Marcenta’s anomaly detectors run on an automated schedule. If you want to check for new flags immediately—for example, after a major campaign change—select Run Detectors at the top of the Flags page. The page refreshes automatically as results come in over the following seconds.
After triggering a manual detector run, the page polls for new results several times over approximately 20 seconds to capture all completed jobs.

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Filter flags

Use the left sidebar on the Flags page to filter by:
  • Type — Regressions or Opportunities
  • Severity — All, Very High, High, Medium, Low, or Very Low
You can also link directly to a filtered view by adding query parameters to the URL. For example, appending ?type=improvements&severity=high opens the Opportunities tab filtered to high-severity flags.