SGA Peerlogic — Call Intelligence Hub

Phone funnel diagnostics across the SGA dental network. Sources: Peerlogic SQL backend, Jan 2025 – Mar 2026. 72 practices, 1,270 DID-months, 87,841 calls.
As of 2026-05-27 · Methodology: per-DID rollup, sum-all-rows (validated within ~1% of Peerlogic per-practice dashboard)
Total Calls
87,841
Jan 2025 – Mar 2026
Network Conversion
37.7%
appt successes ÷ appt calls
Missed Call Rate
34.3%
30,167 missed of 87,841
Sinks (Broken DIDs)
51
hold 60% of network missed
Reports
Action — Sinks

Phone Missed-Call Sink Hit List

51 broken DIDs ranked by missed-call volume. Threat-bar layout with drill-rail per practice. Identifies the routing/staffing failures that hold the largest single phone-handling lever in the network.

10-month window · ranked operations punch list
Open hit list
Scorecard

Per-Practice Phone Conversion Scorecard

All 72 practices ranked on conversion rate, missed-call %, new-pt vs existing funnel splits. Monthly trend chart, sortable table, drill rails. Front-desk coaching targets.

72 practices · 5 tabs · Focus Priority default
Open scorecard
2-Slide Brief

SGA Phone Conversion — Executive Brief

Two-slide explainer: thesis (slide 1) + methodology and evidence (slide 2). PPTX and HTML mirror. Hero claim: 60% of network missed calls live in 51 broken DIDs.

Download PPTX · HTML mirror inside
Open brief
Historical

March 2026 Validation Snapshot

Prior single-month rollup that validated the per-DID sum-all-rows methodology against Peerlogic's per-practice dashboard (~1% missed, ~2.5pt NP conversion).

Dakota + Allure reconciliation
Open snapshot
Data caveat: the current Peerlogic SQL extract is an ad-hoc per-practice subset, not a clean network-wide monthly feed. Monthly coverage ranges from 1 to 6 practices reporting per month. Absolute volume should be read as a floor. The Daybreak T03 Call Conversion tile is now bound to this dataset with three trigger conditions (practice conv < 30%, missed % > 50%, any DID with ≥100 calls and ≥80% missed). Nightly Peerlogic SQL ingestion is the next required step to make this a production trend signal.