About PartnerSignals™
Four technology eras — internet, channel, cloud, AI.
One pattern that keeps costing billions in revenue.
Why I built this
I built and ran partner ecosystems at enterprise technology companies across four technology eras — internet, channel, cloud, AI. I've managed hyperscaler relationships, technology partner alliances, and channel programs across every stage of growth — from startup to enterprise.
In every company, I saw the same pattern: technology partners, solution providers, and hyperscalers influence deals that the revenue system can't see.
- The technology partner changes an architecture recommendation.
- The hyperscaler pulls back from a co-sell.
- A partner manager hears about a competitive threat in a meeting that never gets logged.
"On average, an enterprise works with 6.3 partners across its technology stack — and most revenue systems account for none of them."
These aren't anecdotes. Omdia (Jay McBain) puts the average enterprise at 6.3 partners across its technology stack — 6.3 relationships shaping outcomes, and most revenue systems account for none of them. Every CRM, every forecast model, every stage gate was designed for a world where revenue is direct — vendor to customer. The partner ecosystem isn't in the picture.
Across all four eras, I watched the same pattern at the program level: 80% of partners are transactional — fulfilling orders, delivering product, executing commercial relationships. The 20% that actually drive revenue are the ones the system can't see. Co-sell, referral, source motion — these need a different operating model than fulfillment, and most programs measure them the same.
I built PartnerSignals™ to change that. PartnerSignals is the operating layer for that 20%. Driving-motion revenue, made forecastable — making partner signals visible, governable, so revenue leaders can make decisions with the full picture, not half of it.
PartnerSignals™
PartnerSignals™ is the Revenue Convergence platform — the first purpose-built system for the emerging discipline of Partner Revenue Intelligence.
- Discipline — Partner Revenue Intelligence (PRI). Governing partner-influenced revenue with the same rigor as direct revenue.
- Category — Revenue Convergence. The first purpose-built platform category for the PRI discipline.
- Mechanism — Signal Convergence. A four-stream architecture that ingests what your CRM can't capture — Conversation Intelligence, Partner Motions, Intent Signals, and Financial Signals — and converges partner-ecosystem signals into your CRM to grow partner-influenced revenue you can forecast.
The output is a Forecast Delta — the gap between what your CRM says about partner-influenced pipeline and what's actually going to close.
Take the next step
Take the Partner Growth Scorecard
12 questions. About 5 minutes. See where your partner program sits on the four-band maturity curve and what's blocking the next level.
Start the Scorecard →Book a 45-minute Executive Briefing
A structured conversation about how partner ecosystem dynamics are influencing your pipeline — and where the gaps are.
Select a Time →