Guardivia

A2P Revenue Assurance

How can Sender ID analysis reveal unmonetized A2P traffic?

Reviewed 2026-09-12 by the Guardivia QoS Engineering Team

In short

Compare every Sender ID observed in live traffic against the registry and against commercial agreements. Identities that appear without a matching agreement, appear on accounts not authorised to carry them, or appear on P2P routes are delivering commercial messages outside the billable channel — and each one names the enterprise to approach.

Why the Sender ID is such a good lead

Unlike most indicators in revenue assurance, a Sender ID names someone. A Global Title identifies a network; a content pattern identifies a category; but an alphanumeric Sender ID usually identifies the enterprise whose traffic this is, which makes it directly actionable commercially.

That is why sender observation is often the first analysis an operator runs when starting a monetization programme, before any enforcement is contemplated.

The four discrepancy types

Comparing observed senders against the registry produces four distinct findings, each with a different response:

  • Unregistered but clearly commercial — an enterprise delivering without any agreement; approach for onboarding
  • Registered but on the wrong account — an approved identity arriving through an aggregator not authorised to carry it, indicating resale
  • Registered but on a P2P route — commercial traffic taking a non-billable path; a direct bypass finding
  • Near-variant of a registered identity — a possible impersonation attempt, handled as a security case rather than commercially

Substitution hides the evidence

Sender ID analysis has one blind spot: routes that replace the sender identity before delivery. Traffic terminating through a SIM box arrives from a local MSISDN, so the enterprise's Sender ID never appears in the operator's records at all.

This traffic is invisible to registry reconciliation and has to be found the other way round — by testing routes from the sending side and observing what arrives, then working back to which enterprise's messages were being carried.

Turning observations into revenue

The output of this analysis should be a ranked list: Sender ID, observed volume, route, submitting account, registry status, and estimated value at the operator's A2P rate.

That list is a commercial pipeline. The largest unregistered senders are the first onboarding conversations, and the value estimate tells the wholesale team which conversations are worth having first.

Discuss this with the engineers who build the platform

Questions about how this applies to your network go straight to the QoS Engineering Team.