Neurality Impact Analysis — Cohort Comparison

Cohort comparison

SGA East Operational view

Pulled Monday 2026-05-11. No direct Neurality attribution data — login pending. Post window averages ~12 months.

SGA West / Gen4 Operational + attribution

Direct attribution from Neurality bot export (~633 attributed bookings). Pre/post comparison limited by short post window (avg 1.6 months).

Neurality direct contribution (SGA West / Gen4)

Monthly Neurality bookings (all practices)

Top 10 practices by Neurality NP/mo (post-rollout)

Verdict take

Operational read (SGA East): Network total hygiene visits and new patients are up across 99 practices over ~12 months, but visits-per-hygienist-per-day is essentially flat (−0.05). Practices added capacity faster than throughput — total volume grew, productivity didn't.

Direct attribution (SGA West / Gen4): Neurality directly attributed NP per month across contributing practices = ~ NP per practice per month. At $300/practice/month, this is $/NP — compared to a ~$150 traditional marketing cost-per-NP benchmark, the direct attribution alone is ~× more efficient.

Caveat on SGA West pre/post: The 18-month pre baseline (Sep 2024 – Jan 2026) vs 1.6-month post (Feb–May 2026) is heavily confounded by seasonality and tiny post sample. Total NP/mo dropping post-rollout is almost entirely a window mismatch artifact, not a real Neurality-caused decline. Direct attribution is the cleaner signal.

Recommended framing for Miles: Lead with direct attribution and cost-per-NP. Defer pre/post comparison until post window is ≥6 months. Get SGA East login to complete the picture.

Network hygiene aggregates

SGA East — visits / hyg / day

— → —

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96 practices, ~12 mo post window. Productivity per hygienist-day.

SGA East — total hyg visits / month

— → —

—

Sum of per-practice average monthly visits.

SGA East — total NP / month

— → —

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98 practices, ~12 mo post window.

SGA West — visits / hyg / day

— → —

—

~15 practices, ~1.6 mo post window. Short window — high seasonal noise.

SGA West — total hyg visits / month

— → —

—

Pre is 18-mo avg, post is 1.6-mo avg — comparison limited.

SGA West — total NP / month

— → —

—

See decomposition tab for Neurality-attributed slice.

Per-practice hygiene Δ visits-per-month (both cohorts)

Why the SGA West hyg numbers look bad read this before showing Miles

SGA West total hyg visits/mo declined post-rollout — but this is not Neurality-caused. The pre baseline averages 18 months (Sep 2024 – Jan 2026) including the late-2024 peak season. The post window is just 1-3 months (Feb–May 2026), historically the slowest part of the year for many practices.

Visits/hyg/day actually went up +0.13 for SGA West (productivity improved), but total volume dropped because hygienist capacity in Q1 2026 is structurally lower than the Sep-Dec 2024 peak.

To get a fair operational comparison for SGA West we need either (a) ≥6 months of post window or (b) same-month YOY comparison. Not available yet for most of these practices.

SGA West / Gen4 — NP decomposition (per practice)

Pre baseline NP/mo Post non-Neurality NP/mo Post Neurality-attributed NP/mo

Network aggregate (16 contributing practices)

Network NP / mo

— → —

—

Total network NP/mo, pre vs post.

Neurality direct attribution

+— NP/mo

—

From DuckDB: source IN ('agent', 'web_booking'), NP only.

Non-Neurality channels

— → —

—

Post total − Neurality. Pre is the same as Network Pre.

Read the caveat. The non-Neurality decline is largely the 18-month pre baseline vs 1.6-month post window mismatch (see Methodology). The Neurality direct number is clean.

Per-practice decomposition Sorted by Neurality NP/mo descending

Total Neurality-attributed bookings

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All time, across — SGA West / Gen4 practices.

Of which new patients

—

Appointment type starts with NP_*

Confirm / cancel rate

—

— cancelled

Monthly booking volume Neurality-attributed bookings created per month

Booking time-of-day When patient booked (UTC hour)

Appointment time-of-day When the appointment is scheduled

Per-practice booking detail

SGA East — per practice (visits/hyg/day)

SGA West — per practice (visits/hyg/day)

Cohorts

SGA East — 99 practices from Monday's 5/11 analysis. Mostly Mississippi, Georgia, Florida, Louisiana, Alabama, Carolinas, Tennessee. Data from SGA Power BI dataset. No Neurality direct attribution — we don't have the Neurality login for these practices yet.
SGA West / Gen4 — 20 practices mapped via data-inbox/from-0-Inbox/SGA Location Mapping.xlsx. Kentucky (Beaumont trio), California (REC, HAH), Kansas (NHD, KCC, ACD, ACR), Utah (PEX, HDA), Arizona (BDC). Data from SGA Power BI dataset using DI-style Practice Codes. Has Neurality direct attribution from the bot's xlsx export, loaded into local DuckDB.
2 SGA West practices (Los Altos, Mountain View) had Neurality bookings but no entry in the SGA Location Mapping — likely recent Gen4 acquisitions not yet onboarded. ~9% of attributed NP deferred.

Pre / post window definition

Each practice anchored on its own rollout date = first Neurality-attributed booking timestamp in DuckDB. Pre = months strictly before rollout month; Post = months strictly after rollout month. Rollout month itself excluded to avoid mixed-period contamination.

SGA East rollouts: March 2025 – April 2026 (~12 mo avg post window).
SGA West rollouts: February 2026 – May 2026 (~1.6 mo avg post window).

Caveat: If a practice had Neurality installed before bookings flowed (and we have no record of those zero-booking months), the rollout date is "first booking" not actual install. Pre baseline therefore may include months where Neurality was technically active but not producing bookings — biasing the apparent Neurality lift downward.

Hygiene metrics

Visits per hygienist per day = total hyg visits ÷ total hygienist provider-days, summed across practices. Provider-day-weighted, matching PBI Budget Comparison Detail.
Inclusion rule: only months with ≥8 hygiene provider-days count.
Network total hyg visits/month = sum across practices of (practice pre visits / practice pre months). Same for post.

New patient metrics

PBI total NP from [New Patients] measure, monthly, practice-level (no provider filter).
Neurality direct attribution from DuckDB: source IN ('agent', 'web_booking'), NP filter: appointment_type LIKE 'NP_%'.
Non-Neurality NP = post total − Neurality. By construction this includes all non-bot channels (organic, marketing, referrals, walk-ins).

Cost / efficiency benchmark

Neurality cost is approximately $300 per practice per month. Marketing baseline cost per new patient is approximately $150 for dental practices (industry benchmark used in your prior analyses). Direct attribution efficiency = (NP/mo from Neurality) × $150 ÷ $300 per practice.

Show-rate caveat: "Confirm rate" in the Neurality export is whether the patient confirmed via Neurality's system — not a true show rate from the PMS. True show-rate data requires reconciling with PMS appointments after the fact. Pending.

Data sources

SGA Power BI bridge: http://142.93.182.236:3050, dataset e3fcdf32-…
Neurality DuckDB: data-inbox/neurality/neurality.duckdb (633 Neurality-attributed rows after filter)
Crosswalks: sga/.tmp/master-lookup.json + data-inbox/from-0-Inbox/SGA Location Mapping.xlsx

What's missing

SGA East Neurality login — once obtained, run the same backfill + decomposition there.
True PMS show-rate join — currently we have confirm + cancel proxies from Neurality side only.
EBITDA pairing — Nathan flagged Miles will ask "did Neurality practices have higher EBITDA despite the volume changes." Not joined here yet.