SGA Phone Conversion Scorecard

72 practices · Jan 2025 → Mar 2026 · Peerlogic call intelligence
As of 2026-05-27
Method: appt_success / appt_calls per practice (sum-all-rows)
Network Conv Rate
appt_succ / appt_calls
Network Missed %
Total Calls
across 72 practices
New-Pt Successes
Practices < 30% Conv
of 72 with appt calls

Top 10 — Lowest Conversion (min 50 appt calls)

Practices ranked by conversion rate, restricted to those with ≥50 appointment calls so volume is statistically meaningful. Rank #1 pulses. Click any row to open the drill rail with DID-level detail.

All 72 Practices

Sort by clicking column headers. Click any row to drill into per-extension (DID) detail.

Network Conversion & Missed % by Month

Conversion rate (blue line, left axis) and missed-call percent (red bars, right axis). Practice count varies per month — annotation under each point shows the sample size. Read with care: uneven coverage means the trend reflects which practices were sampled, not strictly network behavior.

Monthly Totals

New-Patient vs Existing-Patient Conversion

Each dot is one practice. X = existing-patient conv rate. Y = new-patient conv rate. The dotted line is parity. Most practices land below the line — existing patients convert more easily than new ones. Practices in the bottom-right are the laggards: they handle returning patients fine but can't book new ones.

NP Laggards — existing conv >= 40% but new-pt conv < 30%

These practices know how to keep existing patients but lose new-pt opportunities. Coaching target #1.

Action Briefing

What the data says, what to do about it.