The instant an account
changes, a signal fires.

A signal is an atomic detection of an instantaneous state change — one account, one moment, one shift. The second consumption collapses, a champion leaves, or an escalation lands, Signals catches it — and assembles the entire context around it: the evidence, the trajectory, the stakeholders. What would take several people hours to piece together arrives complete, in one place. Signals is how the Success Agent notices.

Signal · relationship.champion_lossfired
Vertex Analytics · $210K ARRdetected 09:41 · 0.4s after the event
Trigger"our sponsor moved teams" · QBR §2
cited
Confidencestated on the finding
0.84

Atomic, instantaneous, cited — and ruthlessly prioritized.

Detection · your book24×7
09:38consumption.deceleration · Cedar Healthrisk
09:40expansion.territory_reached · Helioexpand
09:41relationship.champion_loss · Vertexrisk
09:43adoption.regression · Atlas Freightwatch
09:44reading 6 more workspaces…

Caught the moment it happens — not at the QBR.

Most tools tell you an account turned by putting it in a risk column weeks later. Signals reads the account's live context around the clock and fires the second the state changes — while there's still time to act.

  • Continuous evaluation over every dimension of every account.
  • Latency-tiered: fast for the urgent, slow for the deliberate.
  • Risk and expansion — the good moments matter too.
Signal catalog61 detectors
Consumption
consumption.collapse · ≤ μ−3σconsumption.deceleration
Relationship
champion_loss · event
Adoption
adoption.regressionseat_ceiling_reached
Expansion
territory_reached · ≥ 0.8

One state change. One signal.

Each detector continuously models one dimension of the account and fires the instant its state genuinely shifts — separating a true inflection from ordinary noise with rigorous statistics, not thresholds someone guessed at. Purpose-built per signal, tuned per tenant, and precise enough to act on.

  • Bayesian state-space dynamic factor models with Kalman filtering over each account's live usage signals — plus event and classification detectors across every CS domain.
  • A tunable catalog keyed domain.signal — sensitivity adapts per tenant without changing the model.
  • Signals stay independent of Plays — a moment that needs immediate attention, distinct from a programmatic, multi-step response.
Time to knowsame event
event: champion leaves Vertexdetected before it cost anything

The signal beats the consequence.

By the time a turned account reaches the roll-up, the decision was made weeks ago. An atomic detection lands in seconds — the difference between reading history and changing it.

  • Detected the moment context shifts, not at the next review.
  • Every account, every day — not just the ones someone remembered.
  • Weeks of lead time, on the accounts that decide the number.
Prioritized feedranked
1
Vertex · consumption.collapseurgency high · $210K ARR
0.91
2
Northwind · consumption.decelerationusage sliding · $184K ARR
0.79
3
Helio · territory_reachedopportunity · $96K ARR
0.88
Atlas · adoption.regressionsuppressed · seen 2 days ago
decayed

Ranked by what it costs you.

Every candidate is fingerprinted, deduplicated and cooldown-guarded, then scored by urgency × importance, weighted by ARR at stake, and decayed for fatigue. A strategic account at −3σ outranks a small one that merely dipped — and nothing repeats itself.

  • Fingerprint dedup — the same condition never fires twice.
  • An impression ledger decays what you've already seen.
  • Every signal arrives cited — no investigation before the decision.

Part of one platform — explore Context360 · Plays · Revenue · Analytics · Copilot · Compose.

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