What’s on this page:
Key takeaways
- Set a call-block goal in physician conversations, then estimate the dials needed from observed connect and answer rates.
- Calculate connect rate as connected calls divided by total dials, and answer rate as human answers divided by connected calls.
- Track physician answers separately from other human answers; include physician-share in the dial estimate when you have reliable data for it.
- Queue enough unique physicians to limit rapid repeat calls, and track results by segment and call window.
- Set a refresh trigger against your own baseline, such as a meaningful connect-rate decline across consecutive blocks in the same segment and window.
Last updated: August 31, 2026
By Ben Argeband, Founder & CEO of Heartbeat.ai
To plan a physician recruiting call block, set a target for physician conversations, then work backward from your observed connect and answer rates to estimate the dials needed. Clinic hours limit dialing windows, gatekeepers affect who answers, and stale numbers can reduce connect rates. Track these inputs so activity translates into conversations.
Who this is for
Recruiters who want predictable daily output and fewer wasted hours—especially anyone juggling multiple reqs who needs call blocks that reliably produce physician conversations, not just dial counts.
A quick reality check: if you’re finishing the day with a high dial count and low momentum, the fix usually isn’t more blocks. It’s fixing the inputs—list quality, segmentation, refresh cadence—so each block you run actually produces usable conversations and clean follow-up.
Quick answer
- Core answer
- Plan call blocks around physician conversations (physician answered plus a logged next step), then work backward using your connect rate and answer rate to figure out how many dials you need. Size your list accordingly, and set a refresh trigger for when those rates start slipping.
- Best for
- Recruiters who want predictable daily output and fewer wasted hours.
Compliance and safety
This method is for legitimate recruiting outreach only. Respect candidate privacy, honor opt-out requests, and follow applicable data and telemarketing laws. Heartbeat does not provide medical or legal advice.
The framework: goal → dials → list size → refresh trigger
Use this workflow to plan a call block: set a physician-conversation goal, calculate the dials needed from your observed rates, queue enough unique physicians, and define when to refresh the list.
- Goal: target physician conversations per block (your output).
- Dials: the number of dials you need, computed from your observed rates (your inputs).
- List size: enough unique physicians queued that you’re not re-dialing the same people too fast.
- Refresh trigger: a defined point where list decay forces verification or refresh.
Use these exact denominators when you measure:
- Connect rate = connected calls / total dials (report per 100 dials).
- Answer rate = human answers / connected calls (report per 100 connected calls).
A human answer may be a gatekeeper rather than a physician. Track physician answers as a separate disposition; otherwise, your answer rate may look healthy even when few calls reach physicians.
Step-by-step method
Step 1: Define the block goal in physician conversations
Start with the number of physician conversations you want from a block, not the number of dials. Define a conversation as a physician answering, confirming an interest level, and agreeing on a logged next step—such as a screen, CV request, referral, or clear pass.
Dials measure effort; conversations are an outcome. Dial counts alone do not show whether the block produced useful recruiting follow-up.
Step 2: Convert conversations into dials needed
Use your observed connect rate and answer rate to estimate how many dials the block requires. If you track physician-share, include it in the calculation too.
Formulas:
- Physician conversations per dial = connect rate × answer rate × physician-share of human answers
- Dials needed = target physician conversations / (connect rate × answer rate × physician-share)
If you’re not yet tracking physician-share, use the simpler version below and add physician-share once you have a couple of weeks of clean dispositions:
- Dials needed (simple) = target physician conversations / (connect rate × answer rate)
Use rates as decimals in the formulas. Without physician-share, conversations per dial equal connect rate × answer rate, and dials needed equal the target divided by that product. If you track physician-share, multiply by it as well.
Step 3: Size the list so the block doesn’t burn your market
Once you know your dials needed, make sure enough unique physicians are queued to cover that number. If you’re re-dialing the same people inside a single block, either your list is too small or your data quality is too low to support the block size you planned.
The trade-off: bigger lists reduce repeat touches and protect candidate experience, but they demand tighter targeting and a real refresh cadence—otherwise you’re just dialing more stale numbers, not more good ones.
Step 4: Set a refresh trigger
List decay can show up as a falling connect rate. Without a defined trigger, you may keep scheduling blocks against a weakening list and mistake a data problem for an execution problem.
- Refresh cadence: your planned interval for re-verifying and suppressing bad numbers.
- Refresh trigger: a rule tied to your own baseline that forces an early refresh.
One practical trigger: if connect rate per 100 dials drops meaningfully below your baseline for the same segment and call window across two consecutive blocks, refresh the list before using it for another block.
Diagnostic table
Use this to figure out whether your call block problem is list quality, timing and routing, or follow-up workflow.
| What you see (with denominators) | What it usually means | What to do next |
|---|---|---|
| Low connect rate (connected calls / total dials, per 100 dials) | Stale or wrong numbers, missing direct lines, weak suppression of bad outcomes | Refresh cadence now; suppress wrong numbers; rebuild the call block list; re-check targeting |
| OK connect rate, low answer rate (human answers / connected calls, per 100 connected calls) | Timing mismatch with clinic hours, voicemail-heavy routing, gatekeeper interception | Shift call windows; segment by practice type; track physician-answered separately from gatekeeper-answered |
| OK connect and answer rate, but low next-step rate (next steps / physician answers) | Offer mismatch, unclear ask, or inconsistent follow-up | Standardize the next-step ask; tighten notes; schedule follow-ups inside the block itself |
| High variance block-to-block | Mixed segments (specialty, geo, practice type), inconsistent call windows, inconsistent suppression | Run separate blocks per segment; track rates by segment; enforce the refresh trigger |
Plan each call block around connect rate and answer rate, and make refresh cadence a calendar item, not a hope.
Weighted checklist
Score your call block plan before you run it. Total 100 points. If you’re under 80, fix the plan before you spend time on it.
- (25) Block goal is written in physician conversations, not dials.
- (20) You track connect rate per 100 dials and answer rate per 100 connected calls for this specific segment.
- (15) You track physician-answered separately from other human answers (gatekeeper, colleague).
- (15) List is sized so you can dial mostly unique physicians within the block, with minimal repeats.
- (15) You have a refresh trigger tied to baseline, plus a scheduled refresh cadence.
- (10) Suppression rules exist and are enforced (wrong number, requested no contact, do-not-call, gatekeeper-only routing notes).
Operationally, verified, refreshed mobile and email records and prioritizing dials by likelihood of a real answer may help teams reduce dials per conversation compared with relying on unverified or aging lists. Track your own results to assess the effect.
Outreach templates
Short templates built for physician recruiting realities—gatekeepers, tight windows—while staying respectful and compliant.
Template 1: Voicemail (15 seconds)
“Hi Dr. [Last Name], this is [Your Name]. I’m reaching out about a [specialty] opportunity in [region]. If you’re open to a quick, confidential conversation, call me at [number]. If not, tell me the best way to route this and I’ll update my notes. Thank you.”
Template 2: Gatekeeper routing question
“Hi—quick question. I’m trying to reach Dr. [Last Name] for a confidential recruiting call. What’s the best time window to catch them between patients, or is there a preferred way to request a call-back?”
Template 3: Same-day follow-up email after a physician answer
Subject: Follow-up — [Role] in [Region]
“Dr. [Last Name], thanks for taking a minute today. As promised, here are the basics: [1–2 bullets]. If it’s worth a 10-minute screen, what does your calendar look like this week? If not, reply ‘pass’ (or ‘stop’) and I’ll close the loop and won’t follow up.”
Common pitfalls
- Planning by dials instead of conversations. You can hit activity targets and still miss submissions entirely.
- Not separating physician answers from gatekeeper answers. Your answer rate can look fine while physician access is the actual bottleneck.
- Mixing segments in one block. Specialties, geographies, and practice types behave differently; blending them turns your rates into noise.
- No refresh trigger. Decay turns into wasted blocks and recruiter frustration that gets misdiagnosed as an execution problem.
- Repeating the same physicians too fast. This burns goodwill and lowers the odds they pick up next time.
What decay looks like in practice: a recruiter runs two blocks against the same list segment and watches connect rate fall below baseline, with dispositions showing more wrong numbers than usual. The fix isn’t a longer block—it’s an immediate refresh: suppress the bad numbers, re-verify what’s left, and rebuild the list before the next block.
How to improve results
1) Build a dials-needed worksheet
This is the simplest way to make call block math repeatable across your team.
Worksheet columns (one row per call block):
- Date
- Segment (specialty + geo + practice type)
- Call window (early AM / lunch / late PM)
- Total dials
- Connected calls
- Human answers
- Physician answers
- Connect rate = connected calls / total dials
- Answer rate = human answers / connected calls
- Physician-share = physician answers / human answers
- Physician conversations per dial = connect rate × answer rate × physician-share
- Dials needed for next block = target conversations / (connect rate × answer rate × physician-share)
Start with the simple version if you don’t have physician-share tracked yet, then add it once your dispositions are consistent.
2) Run a sensitivity check at 5%, 10%, and 15% connect
This shows how list quality changes your workload without guessing. Plug in your observed answer rate (and physician-share, if tracked) and compute dials needed for each scenario.
Formula: physician conversations per 100 dials = (connect rate per 100 dials) × (answer rate as a decimal) × (physician-share as a decimal).
| Scenario | Connect rate (per 100 dials) | Answer rate (decimal) | Physician-share (decimal) | Physician conversations per 100 dials | Dials needed for target conversations (A) |
|---|---|---|---|---|---|
| Low list quality | 5 | Enter your observed value | Enter your observed value (or 1.0 if not tracked) | Use formula above | A / ((5/100) × answer rate × physician-share) |
| Typical | 10 | Enter your observed value | Enter your observed value (or 1.0 if not tracked) | Use formula above | A / ((10/100) × answer rate × physician-share) |
| High list quality | 15 | Enter your observed value | Enter your observed value (or 1.0 if not tracked) | Use formula above | A / ((15/100) × answer rate × physician-share) |
If connect rate falls from 10 to 5 per 100 dials, the dials needed for the same target would roughly double, assuming answer rate and physician-share stay constant. This illustrates why monitoring list performance and setting a refresh trigger can matter; a rate drop alone does not establish its cause.
3) How to measure it consistently
Treat each call block as a unit with consistent denominators and segment labels:
- Connect rate = connected calls / total dials, per 100 dials.
- Answer rate = human answers / connected calls, per 100 connected calls.
- Physician-share = physician answers / human answers, per 100 human answers.
- Physician conversations per 100 dials = connect rate × answer rate × physician-share.
To make the data usable:
- Track by segment and call window—don’t blend segments in one report.
- Use consistent dispositions: wrong number, voicemail, gatekeeper answered, physician answered, requested no contact.
- When connect rate drops versus baseline for a given segment and window, trigger the refresh: re-verify, suppress, rebuild.
Legal and ethical use
Physician outreach is regulated and reputation-sensitive. Use compliant processes, honor opt-outs immediately, and avoid anything that resembles mass automated dialing without consent. For baseline U.S. context, review the Telephone Consumer Protection Act (TCPA) overview from the FCC. The TCPA framework continues to evolve—the FCC has recently extended compliance deadlines for certain consent-revocation rules and clarified how quiet-hours restrictions apply to text messaging, so it’s worth checking current guidance rather than relying on older summaries.
- Be transparent about who you are and why you’re calling.
- Maintain suppression lists and respect requested no-contact status.
- Keep notes minimal and protect candidate privacy.
Evidence and trust notes
This method is meant to be auditable against your own call block logs and denominators—it doesn’t rely on assumed rates. For how Heartbeat approaches data quality, verification, and sourcing integrity, see the Heartbeat Trust Methodology. Compliance baseline reference (not legal advice): FCC TCPA overview. For more on the specific metrics used here, read connect rate vs answer rate.
FAQs
What’s the difference between connect rate and answer rate in a call block?
Connect Rate = connected calls / total dials (per 100 dials). Answer Rate = human answers / connected calls (per 100 connected calls). Track physician-answered separately so you know whether routing is the bottleneck.
How do I calculate dials needed for a physician recruiting call block?
Use: dials needed = target physician conversations / (connect rate × answer rate). If you track physician-share (physician answers / human answers), include it: dials needed = target / (connect × answer × physician-share).
How do I know when to refresh my call list?
Track connect rate per 100 dials by segment and call window. If it drops meaningfully versus your baseline for that same segment/window across consecutive blocks, trigger refresh cadence: re-verify, suppress bad numbers, and rebuild the next call block list.
Why do my connects look fine but I’m not reaching physicians?
Your answer rate may be driven by gatekeepers or non-physician human answers. Add a physician-answered disposition and track physician-share so you can separate routing issues from list quality issues.
Should I plan call blocks by time or by outcomes?
Plan by outcomes first (physician conversations), then back into dials and list size. Time is the container; outcomes are what move the search.
Next steps
- Build a cleaner call list so your call block math isn’t built on stale inputs: how to build a physician call list.
- Sanity-check what “direct dial” really means before you operationalize it: physician direct dial database: what to check.
- Ready to run this with real data? start free search & preview data.
About the Author
Ben Argeband is the Founder and CEO of Swordfish.ai and Heartbeat.ai. With deep expertise in data and SaaS, he has built two successful platforms trusted by over 50,000 sales and recruitment professionals. Ben’s mission is to help teams find direct contact information for hard-to-reach professionals and decision-makers, providing the shortest route to their next win. Connect with Ben on LinkedIn.
