Upstream Signal Intelligence Architecture
A rigorous breakdown of the four telemetry layers Signalis uses to compute proactive renewal health 34 days ahead of conventional health scores.
When an account plans to churn, the economic buyer and VP-level stakeholders stop attending quarterly business reviews (QBRs) and monthly status calls long before daily active user logins drop. Signalis ingests Google Calendar and Microsoft 365 Exchange metadata to evaluate meeting attendance patterns.
Of enterprise B2B SaaS accounts that churned exhibited an executive attendance drop of over 50% during the 90 days preceding contract expiration.
Keyword scanning produces false positives and ignores subtle human nuance. Signalis evaluates the semantic gradient across call recordings and transcripts to isolate tone shifts, hesitation phrasing, and procurement justification rhetoric.
Signalis evaluates speaker role separation, comparing champion statements against operational users to isolate when leadership enthusiasm begins to diverge from daily usage.
Standard customer success tools count ticket volume. But high ticket volume can indicate deep, healthy adoption, while low ticket volume can mean complete abandonment. Signalis measures the Resentment Index:
- Escalation inflection: Repeated ticket reopening on core workflow items
- Tone decay in customer replies compared to historic account baselines
- Decreasing tolerance for support resolution turnaround times
The single most frequent catalyst for sudden enterprise churn is the departure of the original executive champion. When a new VP of Engineering, CIO, or Head of Sales enters an organization, they frequently bring their favored vendor stack and view existing contracts with skepticism.
The Upstream Intelligence Layer
Signalis is an analytics and decision intelligence engine, not an audit layer and not an execution bot. It integrates alongside your stack without ripping out your CRM.
| Capability / Signal | Traditional CSP (Gainsight, Vitally, ChurnZero) | Signalis Upstream Intelligence Engine |
|---|---|---|
| Primary Health Input | Product logins, feature telemetry, support ticket counts | Quorum attendance decay, Gong tone shifts, sponsor turnover |
| Risk Lead Time | 10 to 14 days before contract expiration (lagging) | 34 days average early detection lead time (upstream) |
| Action Model | Automated email sequences and generic tasks | Private executive diagnostic briefings for human CS leadership |
| Meeting Telemetry | Requires manual CSM call logging in CRM | Passive calendar metadata matching & quorum verification |
| AI Privacy Guarantee | Often opt-out or shared model fine-tuning | Strict zero-model-training guarantee across all paid tiers |