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Monitoring

Monitoring answers one question: is the data still flowing, and is it still good? This page covers what Signals shows you today and, just as importantly, what it does not.

Delivery counts are recorded for every destination and for batch sources, not just for Meta.

RecordedWhat it tells you
Events receivedWhat arrived from your source.
Events deliveredWhat was successfully transmitted to the destination.
Events failed or skippedWhat did not make it, with the error message that explains why.

The comparison between received and delivered is the useful one. Delivered consistently below received means events are being lost between receipt and delivery.

The richer per-identifier reporting is scoped to web conversions through the Meta Conversions API Gateway. Once Gateway setup is complete, the Signal count icon opens it.

MetricWhat it shows
Total Incoming SignalsThe total number of events received by the gateway.
Total Outgoing SignalsThe number of events successfully transmitted to Meta.
EMQ ScoreEvent Match Quality for the events sent, refreshed on a daily pull.
Event Volume OverviewEvent volume over time, with a range of last 7 days, last 30 days or custom, and incoming and outgoing totals for the period.
Event-Level BreakdownA bar chart by event type, with filtering and highlighting of specific events.
EMQ TableEMQ per event type, parameter coverage percentage, and a trend indicator of improving, stable or declining.

Datahash’s guidance is to compare Total Incoming Signals with Total Outgoing Signals to assess transmission efficiency, and to pay attention to events with low EMQ scores, since those limit advertising effectiveness.

Meta reports freshness separately, in Events Manager under Event Details, on the Event Freshness tab. It compares event_time with the time Meta received the event. Delay between the two causes attribution errors, so it is worth checking alongside volume.

Signals does not alert you when something breaks. There are no channels, no recipients, no thresholds and no escalation, and nothing fires automatically.

Nor is there a customer facing delivery log, an error catalog, or a per-event receipt showing what each destination accepted or rejected. Failure counts and error messages are recorded in reporting, but you have to go and look at them.

  • Compare received and delivered counts for each connection.
  • Check event volume in each platform’s own event manager against what you expect.
  • Check match quality per event type, and investigate any event that drops.
  • Check deduplication overlap where you run both a pixel and a server connection.
  • Watch for a sudden change after any source schema change, since a renamed column stops being recognized without an error.

A weekly glance at the first two catches most problems while they are still small.