Metrics Dashboard — Announce Studios

Missed calls captured with AI Receptionist

Peak call-to-booking conversion rate

Seconds average missed call response time

Higher close rate with sub-60-second response

More 5-star reviews within 60 days

More bookings from automated follow-up

Faster invoice collection

Booked from reactivated leads in 90 days

Call capture rate (up from industry avg. of 33%)

Call-to-booking conversion at peak performance

Hours per day of active call coverage

Receptionist staffing cost after automation

Average lift in call-to-book rate at 90 days

More appointments booked per week

Seconds to first SMS after a missed call

Of missed callers respond to AI text follow-up

Of 22 missed calls recovered and booked (CoolBreeze)

Of home service calls currently go to voicemail

Of voicemail callers leave no message and move on

Average monthly revenue lost before automation

Seconds max response time to new web leads

Higher likelihood of qualifying a lead at <1 min

More likely to connect if you respond in 5 minutes vs. 30

Close rate lift at Portfolio Restoration after deployment

Hour average industry response time (before AI)

Seconds — what we bring it down to

More Google reviews generated per month

Star rating reached by Tampa Bay Plumbing (from 3.8)

New reviews earned in first 60 days (Tampa Bay)

Of consumers read reviews before choosing a local service biz

Inbound call volume increase from Google ranking lift

Hours after job completion — optimal review request timing

More bookings from automated multi-touch follow-up

Average times reps follow up before giving up (industry)

Touchpoints our system executes before archiving a lead

Of consumers switch providers for better communication

Days of automated follow-up per unsold estimate

Hours of admin time spent on manual follow-up

Faster average invoice collection vs. manual process

Automated payment reminders per outstanding invoice

Awkward follow-up calls required from your team

Of invoices paid within 7 days under automation

Average reduction in outstanding A/R per client

Hours per week saved on invoicing admin

Of leads automatically logged with full context

Leads lost in handoff between call and calendar

Centralized system for every call, lead, and job

Reduction in unqualified calls reaching sales team

Hours per week saved on manual data entry

Pipeline visibility across every lead stage

Booked from reactivated leads in 90 days (Jacksonville)

Years of dormant customer data put to work

Manual hours required to run reactivation campaigns

Average reactivation rate from dormant customer lists

Lower cost to retain a customer vs. acquire a new one

Day window to achieve full reactivation results

HOW IT LOOKS IN THE FIELD

AI conversations that convert.

Real SMS conversations between our AI and homeowners — booked and closed without any human involvement.

[SMS SCREENSHOT — iMessage Default]

Light mode conversation thread showing AI booking a HVAC appointment

[SMS SCREENSHOT — iMessage Dark Mode]

Dark mode conversation thread showing missed call recovery and re-engagement

[SMS SCREENSHOT — Green SMS Theme]

Standard SMS thread showing review request follow-up after completed job

94%

Of missed calls captured with AI

$2,847

Average monthly revenue lost before automation

28 sec

Average AI response to missed call

82%

Of missed callers respond to AI text

Results across every workflow.

AI conversations that convert.

These numbers can be yours.