The Math of
Recovery

We do not track vague metrics like “brand awareness” or “engagement.” We track what changes operationally: revenue recovered, calls captured, response time improved, admin load reduced. Read the methodology or see how the installation works.

Every case study below shows both axes: what was recovered financially, and what changed operationally.

The third result is harder to quantify but no less real: owners who stop being the default router for their front door. The business stops following them home.

After-Hours Calls Captured
%
Avg. First Month Revenue Recovery
$
Database Reactivation Revenue (Avg)
$
Weeks to Positive ROI

Figures represent averages across active client accounts. Individual results vary based on call volume, industry, average job value, and business operations. These metrics are provided for directional context, not as a projection or promise of specific outcomes.

Avg. New Google Reviews (90 Days)
+
Review Request Open Rate (SMS)
%
Avg. AI Response Time (New Reviews)
<2h

Reputation metrics from active Protocol accounts with Reputation Engine installed. Review AI posts responses automatically. Individual results vary by platform, industry, and review volume.

Installation Case Studies

Seven anonymized installations across different business types, markets, and starting conditions.

HVAC ductwork and mechanical equipment in dramatic amber light — the context of an HVAC emergency service installation.
Case Study 01

HVAC Emergency Service, Greater Toronto Area

See HVAC Emergency Service installations

A residential HVAC company with 8 technicians and strong seasonal demand. Pre-installation audit tracked 14 to 18 missed calls per week, most occurring after 5 PM and on weekends.

Before
  • Calls after hours went to voicemail with roughly 70% hangup rate
  • No text-back system in place
  • Competitors offering 24-hour response were capturing those leads
Installed
  • AI voice agent (live within 48 hours)
  • Missed-call text-back
  • After-hours booking flow
  • Seasonal past-client reactivation campaign
Day 30
11 of 15 weekly after-hours calls captured
4 emergency jobs booked through AI intake that previously would have been lost. Estimated month-1 recovery: $8,960.
Day 60
$7,560 in reactivated revenue
Past-client campaign sent to 210 contacts in maintenance database. 27 bookings at avg $280 each.
Day 90
Google reviews grew from 38 to 61
Automated post-service SMS review requests running after each completed job.
A dental treatment chair under clinical lighting in a dark room — the context of a dental practice installation.
Case Study 02

General Dentistry Practice, Mississauga ON

See Dental Practice installations

An established dental practice with one lead dentist and two associates. Average of 9 missed calls per week during lunch hours and after 5 PM.

Before
  • New patient inquiries landing on voicemail during busy periods
  • 1,400-patient database with no reactivation since original EMR setup
  • Google review count stagnant for 8 months
Installed
  • AI receptionist for new patient intake and after-hours booking
  • Two-segment database reactivation (12+ months and 24+ months inactive)
  • Post-appointment automated review requests
Day 30
New patient inquiry-to-booking rate: 31% to 47%
Improvement driven entirely by answered calls during previously missed hours.
Day 60
$24,360 in reactivated revenue
Reactivation campaign to 600-patient “12+ month inactive” segment. 58 booked appointments at avg $420 recall value.
Day 90
Google reviews grew from 31 to 58
27 new reviews from automated post-appointment SMS requests.
A legal pad and fountain pen on a mahogany desk in dramatic amber light — the context of a personal injury law firm installation.
Case Study 03

Personal Injury Law Firm, GTA Region

See Personal Injury Law installations

A two-partner PI firm with intake managed by a paralegal during business hours only. Estimated 7 to 12 after-hours calls per week going unanswered.

Before
  • After-hours intake relied on a generic voicemail with no callback tracking
  • No visibility into how many callers attempted contact but did not leave messages
  • In PI, callers who reach voicemail typically contact a competing firm within the same hour
Installed
  • AI voice intake for after-hours calls
  • Qualification script collecting accident type, urgency, and contact details
  • Warm SMS notification to on-call attorney with pre-qualified intake summary
Day 30
9 after-hours inquiries captured
Previously estimated at 0 due to no callback tracking. At $14,000 avg case value and 22% close rate, those 9 contacts represent approx. $27,700 in potential case pipeline.
Day 60
Avg contact-to-attorney time: 45 hours to under 4 minutes
Time from after-hours contact to attorney acknowledgment reduced from 3.5 hours to under 4 minutes.
Day 90
Intake volume up 31% with no new staff
Same team, same hours. More cases entering the qualification pipeline.
A medical spa treatment room with a white bed under cool LED light and a rose-gold sconce — the context of a med spa installation.
Case Study 04

Aesthetics and Med Spa, Toronto ON

See Aesthetics and Med Spa installations

A Toronto-area med spa specializing in injectables and laser treatments. Strong organic traffic, 42 Google reviews at 4.6 stars. Intake relied entirely on manual phone answering.

Before
  • 11 to 13 missed calls weekly with no follow-up
  • A January promotion generated more inbound interest than the team could handle alongside existing client flow
  • Database of 650 past clients with no reactivation activity
Installed
  • AI receptionist with calendar-integrated appointment booking
  • Missed-call text-back (response within 60 seconds)
  • Database reactivation campaign (650 past clients, 14-month avg inactivity)
  • Post-service automated review requests
Day 30
After-hours caller booking rate: near-zero to 58%
Callers who previously reached voicemail received a text within 60 seconds and booked through an automated link.
Day 60
$48,960 in recovered revenue from database reactivation
650 past clients contacted, 72 bookings at avg $680 each.
Day 90
Google reviews grew from 42 to 89
47 new reviews in 90 days from automated post-appointment follow-up.
Professional water damage restoration equipment in a dark flooded basement — the context of a restoration contractor installation.
Case Study 05

Water Damage and Restoration Company, Hamilton ON

See Restoration and Remediation installations

A restoration company handling water damage, mold remediation, and fire recovery. Emergency work makes up roughly 60% of revenue. Team of 12.

Before
  • Emergency calls outside business hours routed to a third-party answering service averaging 45 minutes before estimator notification
  • In emergency situations, callers frequently hired a competitor before receiving a callback
Installed
  • AI emergency intake with urgency classification
  • Direct dispatch SMS to on-call estimator within 2 minutes of call
  • Pre-qualified job details (damage type, property access, urgency) sent ahead of estimator arrival
Day 30
Call-to-estimator notification: 45 minutes to under 8 minutes
AI intake to SMS dispatch, fully automated with no human handoff required.
Day 30
6 emergency jobs booked that would have gone to competitors
Estimated job value $8,400 to $22,000 per job depending on scope.
Day 90
Estimators arrive with full pre-qualified context for every job
Average time saved per estimate: 20 to 25 minutes per visit.
Copper plumbing pipes and fittings illuminated by a flashlight in a dark cabinet space — the context of a plumbing company installation.
Case Study 06

Residential Plumbing Company, Brampton ON

See Plumbing installations

A family-run plumbing operation with four licensed technicians serving residential and light commercial clients across Brampton and Mississauga. Strong referral base, but no system in place to handle inbound calls outside of business hours.

Before
  • Roughly 10 to 14 missed calls per week, mostly evenings and weekends
  • Emergency plumbing calls had the highest job value but the lowest callback rate
  • Owner personally handling after-hours calls on his cell, leading to decision fatigue and missed dinners
Installed
  • AI voice agent answering after-hours and overflow calls
  • Urgency triage: emergency calls dispatched immediately, non-emergency calls booked into next available slot
  • Missed-call text-back with a link to a booking form
  • Automated review requests post-service via SMS
Day 30
9 emergency calls captured after hours. Estimated $11,340 recovered.
Average emergency plumbing job value of $1,260. Previously these would have rung through to voicemail with an estimated 85% abandonment rate.
Day 60
Owner stopped taking calls on personal cell entirely
The front door now runs without him. Evenings and weekends reclaimed. He described it as “getting my life back.”
Day 90
Google reviews grew from 22 to 51
29 new reviews from automated post-job SMS follow-up. Rating held steady at 4.9 stars.
Heavy-duty garage door spring mechanism and tracks in dramatic side-lighting against a black background — the context of a garage door repair company installation.
Case Study 07

Garage Door Repair & Installation, Vaughan ON

See Garage Door installations

A two-technician garage door operation that grew from repairs into full installations over five years. Most calls are time-sensitive: a broken spring or a door off its tracks means a car stuck in or out of a garage, which creates real urgency for the caller.

Before
  • Both technicians were also handling inbound calls while on jobs
  • Calls answered mid-install were rushed, and customers sensed it
  • High-value installation leads (full door replacements, $1,800 to $3,200) often came in after 6 PM and went unanswered
Installed
  • AI voice agent handling all inbound calls during business hours and after
  • Separate urgency paths: same-day emergency repair vs. consultation booking for replacements
  • Missed-call text-back active on all unanswered lines
Day 30
Technicians focused on installs. Call handling time: near zero.
Both technicians reported being able to finish jobs 20 to 30 minutes faster because they were no longer stopping to answer phones mid-install.
Day 60
4 full replacement consultations booked from after-hours calls
These were high-consideration calls that previously rang through undetected. Estimated pipeline value of $9,600 from four consults.
Day 90
Google reviews grew from 17 to 39
22 new reviews in 90 days. First time the business appeared in the local map pack for “garage door repair Vaughan.”

These case studies are representative of installations for service businesses of similar type, size, and market conditions. Specific outcomes depend on inbound call volume, average transaction value, and database size. Individual results will vary.

The Protocol Difference

The difference between a "good" business and a "Protocol" business is not improved marketing. It is improved infrastructure.

Standard Business

Missed Call Handling

Voicemail (80% hangup rate)

Speed-to-Lead

2-4 Hours (Business Hours Only)

Database Strategy

Passive / Newsletter Only

Review Generation

Manual / Inconsistent

With Protocol

Missed Call Handling

AI Voice Agent + SMS (0% Loss)

Speed-to-Lead

<10 Seconds (24/7/365)

Database Strategy

Automated Reactivation Loops

Review Generation

Automated SMS Requests

Calculate Your Rage Number

Free. 60 seconds. No credit card. See exactly how much revenue is walking out your door.

Calculate My Leak

The Investment Thesis

If the Protocol saves you one missed call per week at an average value of $3,000, it pays for itself. If it reactivates one dormant client per month, it is 10x ROI.

The question is not “what does it cost?” The question is “what is it costing you to NOT have it?” Run your numbers through the Rage Number calculator, explore our industry calibrations, or reach out directly.

Calculate Your Opportunity Cost

See results by industry

HVAC Emergency ServiceDental PracticesAesthetics & Med SpaPersonal Injury LawRoofing & ExteriorRestoration & RemediationPhysical TherapyFamily LawAll IndustriesThe 5 Silent Signals™PlumbingGarage Door RepairGTA Service AreaAI Agency Toronto
FAQ Subroutine

Results & ROI Intelligence

Executive Summary

  • •Representative results across active Protocol installations: 94% of after-hours calls captured, average first-month revenue recovery of $11,200, average database reactivation revenue of $38,000, and positive ROI within 4 weeks.
  • •ROI is measured in two categories: Revenue Leaks Plugged (missed calls captured, dormant clients reactivated) and Revenue Captured (new bookings from AI intake).
  • •Case studies cover HVAC emergency service, general dentistry, personal injury law, aesthetics and med spa, and water damage restoration. All businesses had fewer than 15 staff and existing inbound call volume.

Common questions

What ROI does The Quiet Protocol typically deliver?

Results vary by business type and starting conditions. An HVAC company with 8 technicians recovered $8,960 in month 1 from after-hours calls alone and an additional $7,560 from a database reactivation campaign by day 60. A dental practice generated $24,360 in reactivated revenue from a single segment of its inactive patient database. A med spa recovered $48,960 from a past-client campaign to 650 contacts. Most installations reach positive ROI within 4 weeks.

How quickly do results appear?

Missed-call recovery begins within 48 hours of the AI Voice Agent going live in Phase 1. Database reactivation revenue typically appears in the first 30 to 60 days. Review growth from automated post-service SMS is measurable by Day 30 and compounds through Day 90.

What industries have the strongest Protocol results?

Emergency services (HVAC, restoration, bail bonds) see the fastest ROI due to high per-call value and high after-hours call volume. Healthcare practices (dental, med spa, chiropractic) see the largest database reactivation revenue due to larger inactive patient lists. Legal firms see the highest speed-to-lead conversion improvement: going from multi-hour callbacks to under-4-minute attorney acknowledgment changes how many callers stay in the pipeline.

How is the Rage Number calculated?

The Rage Number is calculated as: (weekly missed calls x average job value x close rate x 52 weeks) + (dormant database size x estimated reactivation rate x average transaction value). Most service businesses discover their Rage Number is 5 to 10x higher than their initial estimate.

Architectural Constraints

  • •Results are representative of real installations for businesses of similar type, size, and market conditions.
  • •Individual results depend on inbound call volume, average transaction value, and database size.
  • •The Protocol requires existing inbound lead volume. It captures and converts demand. It does not generate it.

Vocabulary of Loss

Rage Number

The annualized dollar cost of a business's 5 Silent Signals. This is the revenue currently leaking through missed calls, weak reputation, website abandonment, channel fragmentation, and dormant databases.

Revenue Leak Plugged

Missed revenue that is now being captured: unanswered calls handled by AI, dormant clients reactivated, slow follow-up replaced with under-60-second automated response.

Live Install
HVAC · Brampton, ONAfter-hours calls captured in first month: $11,340 in booked work. Results vary by business.

30-minute session

Front Door Audit

A live diagnostic where we identify which of the 5 Silent Signals are bleeding your revenue, calculate your leakage, and walk through exactly what a custom installation would look like. No obligation.