2.4x rebooking rate through automated follow-up
Last updated June 2, 2026
2.4x
rebooking rate
3 weeks
deploy time
340+
reactivated customers
The business
Multi-Location Cleaning & Restoration
The company operates 3 locations across the Southeast, offering residential and commercial pressure washing, soft washing, and exterior cleaning. Running $5M–$8M in annual revenue with 20+ techs and a growing commercial accounts division.
The problem
What Was Broken.
The client’s business model depends on recurring revenue — annual gutter cleaning, seasonal power washing, commercial maintenance contracts. But they had no automated rebooking system. Past customers sat dormant in their CRM with no follow-up.
Negative reviews were handled reactively. A 1-star review would sit on Google for days before someone noticed, and there was no system to convert that unhappy customer into a saved relationship.
What we shipped
Production Deployments.
Review Reactivation
Monitors new reviews across Google and Yelp. Negative reviews trigger an automated save flow: immediate SMS apology, rebooking offer at discount, escalation to owner if unresolved within 24 hours.
SMS Agent
Automated seasonal rebooking sequences for past customers. Triggers based on last service date, service type, and local weather patterns. Personalized messages with one-tap rebooking links.
How long it took
Phase by Phase.
- 1
Week 1: Audit CRM data, segment customer base, design rebooking sequences
- 2
Week 2: Deploy review monitoring + SMS agent into Jobber + Twilio
- 3
Week 3: Testing, optimization, handoff to internal team
The outcomes
What It Did.
Within 90 days, The client reactivated 340+ dormant customers through automated SMS sequences. Rebooking rate on targeted segments increased 2.4x compared to the previous quarter’s manual outreach. Negative review response time dropped from 3+ days to under 2 hours.
“We had 4,000 past customers sitting in Jobber doing nothing. Now they’re booking again without us lifting a finger.”
The engagement
Scope and Investment.
Single Module Deployment engagement: Review Reactivation + SMS Agent deployed as a combined 3-week sprint. No ongoing retainer — the system runs autonomously with monthly check-in calls.
Honest postmortem
What We'd Do Differently.
The initial SMS sequences were too frequent for some customer segments. We’d build in a preference center from day one rather than adding it after the first week of complaints. We also learned that seasonal triggers need to account for local weather more precisely — a generic “spring cleaning” message doesn’t work as well in Florida as it does in North Carolina.
See If This Approach Fits Your Operation.
30 minutes. No pitch deck. We whiteboard your current stack and identify the highest-leverage automation.