Relationship Intelligence
How to discover hidden connections between stakeholders across your client portfolio - former colleagues, industry peers, and mutual contacts that create warm introduction opportunities.
Why This Matters#
As a fractional CMO managing multiple clients, you accumulate a network of stakeholders across companies. Sarah Chen at Acme Corp might be a former colleague of Josh Wong at BetaCorp - but you would never know unless someone told you. With Relationship Intelligence, Coppermind scans all your client minds and finds these connections automatically.
This turns your client portfolio into a networking asset. Cross-client introductions, warm referrals, and "did you know" moments in meetings become effortless.
When to Use This#
- Before a client meeting - check if any of their stakeholders connect to your other clients
- When a client needs a vendor or partner - see if someone in your network already knows a good fit
- During new business development - discover that a prospect's CEO used to work with your existing client's VP
- Quarterly portfolio review - map the full relationship web across all your clients
Discovering Relationships#
Step 1: Resolve Entities#
Before viewing relationships, Coppermind needs to scan your client minds and match stakeholders. This happens when you ask:
"Scan my clients for stakeholder connections"
Coppermind calls relationships, which:
- Reads all stakeholders from every active client mind
- Matches people by name similarity, role, and company context
- Creates canonical entity records with aliases (e.g., "Sarah Chen", "S. Chen", "Sarah C." all map to the same person)
- Infers relationships between entities that appear across multiple client minds
You get back a summary:
Found 12 entities across your client minds.
5 new entities resolved, 3 updated.
Run this periodically - after onboarding a new client, adding stakeholder memories, or ingesting meeting notes. Each scan picks up new connections.
Step 2: View the Relationship Map#
"Show me my stakeholder relationship map"
Or filter to a specific client:
"Show me relationship connections for Acme Corp"
Coppermind calls relationships and returns a visual map of who knows who:
## Relationship Map: Acme Corp
Sarah Chen (CEO, Acme Corp) - Josh Wong (CTO, BetaCorp)
Relationship: former colleagues [85% confidence]
Mike Rivera (VP Marketing, Acme Corp) - Lisa Park (CMO, GammaTech)
Relationship: industry peers [92% confidence]
Each relationship shows:
- Who - the two people and their roles/companies
- Type - former colleagues, industry peers, mutual connections, or mentioned together
- Confidence - how sure Coppermind is about the match (only 80%+ shown by default)
Step 3: Confirm or Dismiss#
When you see a relationship, you probably know whether it is real. Confirm the ones you know are accurate:
"Confirm the Sarah Chen / Josh Wong relationship"
This sets the confidence to 100% and marks it as verified. Verified relationships always appear in future maps.
If a match is wrong (two different "Mike Smith" people, for example):
"Dismiss the Mike Smith / Mike Smith relationship"
Dismissed relationships are permanently excluded from all future results.
Confidence Levels#
Coppermind assigns confidence based on how strong the evidence is:
| Confidence | What It Means | Example |
|---|---|---|
| 95% | Exact name match across clients | "Sarah Chen" appears in both Acme and BetaCorp client minds |
| 90% | Name + matching role/title | "Sarah Chen, CEO" in both places |
| 80-89% | Name similarity with supporting context | "S. Chen" and "Sarah Chen" with overlapping company history |
| Below 80% | Low confidence, hidden by default | Common names without distinguishing context |
To see low-confidence matches (useful for spotting connections Coppermind is not sure about):
"Show me all relationship connections including unverified ones"
Real-World Scenarios#
Warm Introduction#
You are prepping for a meeting with Acme Corp and notice that their CEO Sarah Chen used to work with Josh Wong at BetaCorp - another client of yours. In the meeting, you mention: "I work with Josh Wong at BetaCorp. Small world - you two were at the same company, right?" This builds trust and demonstrates your network value.
Referral Opportunity#
GammaTech needs a new SEO vendor. You check your relationship map and see that GammaTech's VP Marketing knows the founder of an SEO agency through a mutual connection in your network. Instead of a cold intro, you can facilitate a warm one.
Prospect Research#
A prospect reaches out. Before the discovery call, you run the relationship scan and discover their CTO used to work with one of your current client's stakeholders. You now have an angle for the conversation and a potential reference.
Tips#
- Run entity resolution after onboarding a new client. New stakeholder data creates new connection opportunities.
- Confirm relationships you know are real. This improves future results and builds a verified network map over time.
- Dismiss false matches promptly. Common names generate false positives. Dismissing them keeps your map clean.
- Check the map before discovery calls. Hidden connections are your unfair advantage in sales conversations.
- Record stakeholder information consistently. The relationship map is only as good as the stakeholder data in your client minds. Use the
stakeholdermemory type when noting key people.
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