Local growth & visibility
Local Booking, Reminders, Reviews & Repeat Visits
A strong local shop with disconnected booking, follow-up, and owner visibility. Wired booking, CRM, reminders, and reviews into one practical setup.
Hoosier Boy Barbershop · Local service business · Indianapolis, IN
3×
60%
4.9★
Before, build, and operating change
A lightweight view of the problem, the intervention, and what changed after the system shipped.
Before / Problem
- Client history lived in the booking app, but follow-up and outreach were not tied to that record
- No steady review request flow—great cuts rarely became fresh public proof
Build / Fix
Public booking tied to a CRM client record
Every appointment updated the client record, visit pattern, and who was due for a nudge. New and returning clients could be handled with clear segments.
Reminders, review asks, and win-back on a schedule
After each visit, thank-you, review request, next-cut reminder, and lapsed-client messages ran on rules instead of someone remembering. Review cadence and repeat visits became more predictable.
After / Outcome
The shop runs booking, follow-up, and reviews as one program instead of separate tools. The owner can see who is due for what and keep retention and review cadence without daily manual chasing.
For appointment-based businesses, repeat visits and chair time matter as much as new traffic. When booking, reminders, and follow-up are disconnected, strong demand still leaks through no-shows, quiet clients, and missed rebooks.
- →Client history lived in the booking app, but follow-up and outreach were not tied to that record
- →No steady review request flow—great cuts rarely became fresh public proof
- →Rebooking was informal—no clear reminders for the next visit or lapsed clients
- →Local listings were messy—inconsistent citations and an incomplete Google Business Profile
- →No-shows were high—default reminders from the booking app were not enough
Public booking tied to a CRM client record
Every appointment updated the client record, visit pattern, and who was due for a nudge. New and returning clients could be handled with clear segments.
Reminders, review asks, and win-back on a schedule
After each visit, thank-you, review request, next-cut reminder, and lapsed-client messages ran on rules instead of someone remembering. Review cadence and repeat visits became more predictable.
Owner view of bookings, segments, and follow-ups
One place to see who booked, who needs a reminder, and which outreach is queued—so the owner is not piecing it together from three apps.
Local conversion and reputation support layer
Google Business Profile structure, citation hygiene, and on-site local conversion blocks were tuned to reinforce discovery and booking outcomes. Review recency and consistency supported local pack trust conversion.
Booking and scheduling surface
The shop runs booking, follow-up, and reviews as one program instead of separate tools. The owner can see who is due for what and keep retention and review cadence without daily manual chasing.
SYSTEMS INVOLVED IN THE BUILD
The tools and system layers that made this project work — grouped by what they contributed.
Owner visibility improved because bookings, segments, and queued follow-up could be read in one place.
The booking and public-site layers stayed connected so local demand and operational follow-up did not drift apart.
WordPress
Apache
Client records, reminders, review asks, and win-back logic were tied to the same operating system.
Salesforce
Google profile and local citation cleanup supported better discovery and trust before the booking step.
Google
Booking, reminders, and rebooking were treated as one customer path instead of separate tools.
- Public booking flow
- CRM-backed client model
- SMS and email reminder automation
- Owner view of bookings and follow-up queues
- Google Business Profile cleanup
- Citation cleanup
- Retention and reactivation messages
What this project demonstrates
Each block names the capability first. Figures below are supporting context from the same engagement — not the headline.
Booking CRM System
Public booking flow and client lifecycle records were unified so owner/admin operations could segment new, returning, and at-risk clients from one command surface.
Referenced outcomes (same engagement)
- Average Google rating maintained
- 4.9★ — Average Google rating maintained
- Increase in repeat booking rate
- 3× — Increase in repeat booking rate
Review Pipeline and Local Conversion Support
Post-visit SMS sequence timed review asks so strong visits converted into Google reviews without staff chasing each client manually.
Referenced outcomes (same engagement)
- Average Google rating maintained
- 4.9★ — Average Google rating maintained
- Increase in repeat booking rate
- 3× — Increase in repeat booking rate
Lifecycle Retention Automation
Lifecycle triggers for reminder, retention, and reactivation were automated from booking behavior so rebooking tripled and no-show reduction became repeatable.
Referenced outcomes (same engagement)
- Increase in repeat booking rate
- 3× — Increase in repeat booking rate
- Reduction in no-shows via automated reminders
- 60% — Reduction in no-shows via automated reminders
Similar project shapes and delivery patterns — useful when you are comparing system fit, not client names.
Still deciding how similar this is to your situation?
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