Combined Extraction: Thin/Unknown Calls

These calls were triaged as likely-thin but skimmed for surprises. Some had 1-2 fingerprint insights worth capturing; others were truly empty or redundant. Combined here for efficiency.

Calls with no extractable content

1493 — Ronnie & Phil: Territory Planning (Feb 24, 2026)

Participants: Phil Cranmer, Ronald Miller (MedScout data analyst), Meaghan DePeter.

Insight: CDL expanding private practice team by one territory — threshold 1,000+ annual SPECT

Phil is analyzing three regions (Pacific Northwest, Mid Central, Mid Atlantic) for a new PP sales territory. His threshold for territory planning purposes: accounts billing 1,000+ annual SPECT claims.

So what: This is a higher bar than Dale’s 800/year field qualification threshold (1133). At 1,000+/year, Phil is identifying the most attractive accounts to allocate to a new territory — he wants the new hire to have enough high-value targets to justify the position. The territory expansion itself is a growth signal: CDL’s PP sales org is actively adding headcount in early 2026, which means the private practice motion is generating enough pipeline to warrant more coverage. The three-region analysis (Pacific Northwest, Mid Central, Mid Atlantic) also reveals where CDL sees geographic gaps in their PP coverage.

1775 — Jeff Campbell Onboarding (Mar 31, 2026)

Participants: Jeff Campbell (CDL territory manager, started mid-to-late January 2026 — the transcript says “2025” but also says “less than one month” into his role as of March 31, 2026, so this is almost certainly a transcription error), Kathryn White (back from maternity leave).

Insight 1: Jeff is on the HOSPITAL team, not private practice

Jeff covers Colorado west on the hospital team, not PP as the 1306 call might have implied. He reports into the hospital team and works with Rob Gosling (who was previously West AVP for PP but now leads all PP nationally). Jeff has 6 account meetings in Las Vegas this week — he’s actively in the field.

So what: This clarifies the org picture. Jeff was referenced in 1306 as a promising new hire during Rob’s negative feedback call. Knowing he’s on the hospital team (not PP) changes the context — his positive engagement with MedScout represents a potential advocate on Lynette’s side of the org, not Rob’s. His Las Vegas accounts overlap with Robb Gosling’s discovery from the West training (1137) where Advanced Cardiovascular Specialists was identified as a high-value target.

Insight 2: 20% of PET cases “fall out” due to non-ambulatory patient limitations

Jeff mentioned that 20% of PET cases fall out because patients aren’t ambulatory enough for the procedure.

So what: This is a clinical/operational constraint that affects CDL’s financial pro formas. When CDL projects PET revenue for a facility, the total addressable conversion needs to account for patients who can’t physically undergo the procedure. Whether this 20% compounds with Kendall’s 60% SPECT-to-PET clinical candidacy rate (making the effective rate ~48%) or whether the 60% already accounts for non-ambulatory patients isn’t stated — these numbers come from different people in different contexts (Jeff’s field estimate vs. Kendall’s regulatory methodology). Either way, the 20% fallout matters for pro forma credibility: a physician who knows from experience that some patients can’t do PET will challenge a projection that ignores this constraint.

Speaker credibility: Jeff, learning the business. The 20% figure likely comes from CDL’s standard training materials or Rob’s guidance. Credible as a CDL institutional number, though clinical specifics could vary by patient population.

1791 — Salesforce Integration Discussion (Apr 1, 2026)

Participants: Phil Cranmer, Carrie Edwards (CDL Salesforce admin), Kathryn White.

Insight 1: CDL serving ~5,500 US hospitals as total addressable market

Phil wants to pre-populate all 5,500 US hospitals from MedScout claims data into Salesforce. Currently only ~300 hospitals (~5%) are in their Salesforce instance.

So what: This is CDL’s total addressable market for the hospital motion: 5,500 US hospitals. Phil’s approach — load all of them into the CRM with claims data rather than having reps create accounts manually — turns the CRM from a sales tool into a market intelligence platform. Every hospital has SPECT volume, cardiac PET volume, and oncology PET volume visible. Reps can filter and prioritize without requesting reports. The 5% current coverage (300 of 5,500) explains why the hospital team has been working from spreadsheets — most of their targets aren’t even in the CRM yet.

Insight 2: ACC generated 130 badge scans and 27 hot MQLs

The most recent ACC conference produced 130 badge scans and 27 marketing qualified leads.

So what: This quantifies CDL’s conference ROI more precisely than Cole’s “50-60 leads” estimate from the anchor notes. 130 scans → 27 MQLs is a ~21% qualification rate. Compare to Cole’s economics: $100K+ conference investment, one converted deal “pays for my year for three years.” The 27 MQLs enter the pipeline that Melissa and Cole then need to enrich with persona data and contact information.

Insight 3: Carrie Edwards is CDL’s Salesforce administrator

New name — Carrie Edwards manages CDL’s CRM. She’s the technical counterpart to Phil’s strategic vision for data infrastructure.

1920 — Touch Base / Integration Planning (Apr 16, 2026)

Participants: Phil Cranmer, Carrie Edwards, Kathryn White.

Follow-up to 1791. Same themes: MVP approach (hospital accounts + core claims metrics first), NPI matching for deduplication, restricting rep account creation. Phil: “I would prefer the sales team not create an account that really doesn’t even exist.”

So what: CDL is building data infrastructure in spring 2026. The Salesforce integration represents a maturation of how CDL uses claims data — from a prospecting tool (reps search for targets) to an operational backbone (claims data populates the CRM, drives territory assignments, prevents data quality issues). This is operationally significant: once all 5,500 hospitals are in Salesforce with claims data, CDL’s hospital team has a complete market view inside their daily workflow tool.

Calls skimmed but not individually extracted (likely thin)

Term Bank Additions