Turn partner signals into measurable revenue growth.
PartnerSignals connects four independent signal streams to show which partners are shaping your accounts, what their influence is changing, and where your teams should act next.
See influence across the ecosystem
Partner-influenced revenue is your fastest-growing pipeline source. The signals that drive it operate in four places your CRM doesn't capture on its own: the co-sell conversations happening on partner calls, the partner motion patterns in your ecosystem, the intent signals that show where an account is heading, and the financial signals that shape buying context.
Each of these streams is partially captured by something you already have. None of them converge. PartnerSignals brings them together so partner influence is visible at the account and opportunity level.
Ask a question. Get an answer with its evidence attached.
Plain-language questions about any account or partner, answered from the converged record, with the sources shown, not hidden.
The partner went quiet after the Aug 22 technical call: no partner motion in 19 days, and the CRM stage has not moved since Aug 28. Two of the three call topics were pricing objections the partner said they would take back to their desk.
Measure partner impact on revenue outcomes
Partner influence is easy to claim and hard to prove. PartnerSignals measures it the way you would defend any other number in a forecast review: with evidence you can trace back to its source.
Every score is built from the four signal streams and shows its work. Open an account and you can see which calls, partner motions, intent signals, and financial signals moved the number, and how much each one counted.
The Forecast Delta is where that measurement pays off. When the converged partner signal disagrees with the CRM forecast, you see the gap in dollars, weeks before the quarter closes, while there is still time to do something about it.
Models will change every quarter. The scoring, the evidence trail, and the history you build stay with you. Your data never trains a third-party model.
Forecast Delta
Where the converged partner signal disagrees with the CRM forecast, and by how much, weeks before the quarter closes.
Activate the next growth opportunity
Intent and financial signals surface where an account is heading months before CRM activity reflects it: dual-running tech stacks, organizational changes, cost-pressure language in earnings Q&A, funding and partnership events.
The contradictions between streams, such as conversation intelligence showing active engagement while partner motion signals show dormancy, are where the next action sits: which partner to re-engage, which account is ready for partner activation, and which motion needs support now rather than at quarter close.
Partner Attribution lets you define and view attribution agreement rules (Sourced, Co-Sell, and Influenced) for each partner relationship, right on the Partner Profile and inside the deal you're working.
Compare partners on one composite score
Score trajectory across capabilities, engagement, and signals for every partner, overlaid so the ones pulling ahead are obvious.
How Signal Convergence works
Four 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 selling"
- Detects dormancy patterns at the deal and account level
Intent Signals
Where the account is heading, 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)
- Technology stack changes and organizational signals that shift partner-relevant buying timelines
- Surface buying intent months before CRM activity reflects it
Financial Signals
The account's financial health and the buying context it creates.
- Earnings call Q&A extraction: the unscripted Q&A section carries 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
- Budget cycle timing and financial indicators that shape buying context
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 four streams. The contradictions between them, where conversation intelligence shows active engagement but partner motion signals show dormancy, become the signal. The disagreements are where the growth signal surfaces.
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.
Many platforms read one source class: overlap, or conversations, or intent. PartnerSignals reads four. Our data model is built for multi-source convergence from the ground up, rather than layering extra sources onto a single-stream foundation.
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, Allbound
- Workflow
- Monday.com, Salesforce Flows, HubSpot Workflows
- Deployment
- Cloud · On-Premise · Hybrid · Kubernetes · Red Hat OpenShift
Built for enterprise revenue environments
Works with your current revenue and partner systems
Salesforce, HubSpot, Dynamics 365, PRM, meeting and collaboration tools. No CRM migration, no PRM replacement, no new rep workflows.
Inspectable methodology and evidence
Every score shows the signals and evidence behind it, and the method is documented so your team can check the work.
Private data handling
Your data never trains a third-party model. 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.
Deployment and security controls
Cloud, on-premise, hybrid, or Kubernetes on Red Hat OpenShift. Encryption in transit and at rest, database-level tenant isolation, and a Red Hat-managed control plane running on FedRAMP High-authorized infrastructure (Red Hat OpenShift).
See where your program sits
Take the Partner Growth Scorecard
12 questions. About 5 minutes. See where your partner program sits and what's blocking the next level.
Start the Scorecard →Book a 30-minute Executive Briefing
A structured conversation about how partner ecosystem dynamics are influencing your pipeline.
Select a Time →