The Revenue Convergence Platform
Three signal streams, cross-corroborated against each other. Two tell you what's happening now. The third fires months before your CRM does. Partner-influenced revenue, finally forecastable.
The problem isn't data.
It's convergence.
Partner-influenced revenue is your fastest-growing pipeline source. It's also the hardest to forecast — because the signals that drive it operate in three places your CRM doesn't capture: the co-sell conversations happening on partner calls, the partner motion patterns in your ecosystem, and the pre-intent financial signals that precede a buying decision.
Each of these streams is partially captured by something you already have. None of them converge. That gap is the Forecast Delta — and today it's invisible.
Three streams. One convergence layer.
Conversation Intelligence
What's said on co-sell calls. Which partners are pushing. Which went quiet at Stage 3.
- Auto-ingested from Zoom, Microsoft Teams, Sembly — no manual logging
- Partner influence, buyer intent, and deal risk classified at conversation level
- Surface co-sell disengagement before it shows up in CRM stage movement
Partner Motions
Deal registration activity, co-sell engagement cadence, activation patterns.
- Ingested from PRM systems and partner activity logs
- Distinguishes "partner attributed" from "partner actively pushing"
- Detects dormancy patterns at the deal and account level
Pre-intent & Financial Signals
Three signal families that fire before a deal exists in your CRM:
- Dual-running tech-stack detection — accounts running two competing platforms in parallel (the most common pre-decision indicator)
- Earnings call Q&A extraction — the unscripted Q&A section carries 3-5× more signal than prepared remarks. Cost-pressure language, tech-stack rationalization, and partnership-posture statements precede internal procurement decisions
- Funding + partnership event signals — funding rounds, executive hires, M&A announcements, and competitor-partnership press all shift buying timelines and partner dynamics
Convergence is the signal.
Single-stream tools capture part of the story. Conversation intelligence captures the calls. Account mapping shows who you share customers with. Forecast platforms work from what's already in the CRM. None of them converge.
Signal Convergence is the architecture that cross-corroborates all three streams. The contradictions between them — where conversation intelligence shows active engagement but partner motion signals show dormancy — become the signal. The disagreements are where forecast accuracy comes from.
That convergence is what makes a Forecast Delta visible. Without it, the delta exists anyway; you just can't see it until the deal slips.
Most platforms read one source class — overlap, or conversations, or intent. PartnerSignals reads three. A competitor matching this isn't a feature ship — it's a 12-24 month re-architecture, because the data model itself has to be rebuilt for multi-source convergence.
Modeled outputs from a backtesting baseline.
Every signal output PartnerSignals surfaces is calibrated against a backtesting baseline — the convergence model run against historical CRM + signal data to validate the pattern. Methodology is documented and inspectable. No black-box scoring.
When you complete an Architecture Assessment, the same model runs against your data. The output you receive is yours, not ours.
The model is replaceable. The intelligence layer is not. Foundation models converge on similar capabilities every release cycle; the signal ontology, the partner-influence scoring, and the validated extraction corpus accumulated through customer engagements are the assets — and they get stronger every quarter.
- Acme Cloud–$680KPartner went quiet · Stage 4
- Northwind Data–$520KConversion score dropped 38%
- Contoso Health–$310KCustomer pre-intent reversal
- Globex Mfg+$140KPartner executive engaged
The disagreement between what the CRM shows and what the converged signal shows is the earliest warning a CRO can get.
Compatibility-first. Not replacement-first.
PartnerSignals integrates with the revenue and partner infrastructure you already have. No CRM migration. No PRM replacement. No new rep workflows.
- CRM
- Salesforce, HubSpot, Microsoft Dynamics 365, monday.com
- Meeting Intelligence
- Google Meet, Zoom, Microsoft Teams, Granola, Sembly
- Collaboration
- Slack, Microsoft Teams
- PRM
- Salesforce PRM, Crossbeam, Impartner, Allbound
- Workflow
- Monday.com, Salesforce Flows, HubSpot Workflows
- Deployment
- Cloud · On-Premise · Hybrid · Kubernetes · Red Hat OpenShift
Built for CSOs and regulated environments.
No frontier-model training exposure. Meeting content and partner data never feed the training corpus of any external AI model. Inference runs against private model infrastructure under your DPA terms. Contractually committable in the customer agreement.
See where your program sits.
Take the Ecosystem Maturity Diagnostic
12 questions. About 5 minutes. See where your partner program sits and what's blocking the next level.
Start the Diagnostic →Book a 45-minute Executive Briefing
A structured conversation about how partner ecosystem dynamics are influencing your pipeline.
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