Multi-Location Cleaning & Restoration, Field services
2.4x
Rebooking rate on targeted segments
2.4x rebooking rate through automated follow-up
Review reactivation, SMS agent
3 weeks
Review reactivation asks for the review 2 hours after the job, catches low scores before they go public, and rebooks past customers by SMS. Live in 3 weeks.
Call it. An AI answers. That's the demo.
Number coming soon
Review reactivation is a closed loop: a review request goes out after every job, a low score is intercepted before it reaches Google, and a good score triggers the rebooking sequence. Wired into Google Business Profile, Yelp, and your scheduling software, it turned dormant customers into a 2.4x rebooking rate. Live in 3 weeks.
Three things. It asks every customer for a review at the right moment, typically 2 hours after the job, by SMS or email. It catches unhappy customers first: a low score routes to a save flow (direct contact, a resolution offer) instead of a public review link, and 40% of those customers come back. And it turns the happy ones into repeat bookings: seasonal reminders, loyalty offers, and referral requests run on their own.
It also watches Google, Yelp, and the trade platforms for new reviews and drafts the owner's response for approval.
It fixes four common problems: a 1-star review that lands on Google at 11 p.m. and is seen by 200 people before anyone responds; 5-star customers who never hear from you again; review requests that depend on which tech remembers to ask; and no path for an unhappy customer other than straight to Google.
Media pending
Week 1 is the audit: CRM data, customer segments, and the sequence design. The request then goes out after every job completion by SMS or email, timed for the best response, typically 2 hours after service.
Deployed in week 2 with the SMS agent, into your scheduling system and Twilio. A low score routes to a save flow (direct contact, a resolution offer) instead of a public review link.
Deployed in week 2 alongside the intercept. Positive reviewers enter the nurture sequences: seasonal reminders, loyalty offers, referral requests.
Review monitoring goes in with the week 2 deployment; week 3 is testing, tuning, and handoff to your team. The system watches Google, Yelp, and the trade platforms and drafts the owner's responses for approval.
Rebooking rate and detractor save rate, against the baseline we take before go-live. Across deployments the measured results are a 2.4x rebooking rate and a 40% detractor save rate. The written commitment names the number for your operation.
Every deployment carries a written ROI commitment.
Multi-Location Cleaning & Restoration, Field services
2.4x
Rebooking rate on targeted segments
Review reactivation, SMS agent
3 weeks
Two hours after a power-washing job
Text messages. Scripted demo. Names and numbers are made up.
Pricing depends on which modules you deploy, the integrations involved, and how much is custom to your operation. Most clients start with a single module and expand once it proves out. You'll get a clear, itemized quote in the working session.
After every job we send a private satisfaction check. If the score is below the threshold, the customer goes to a direct resolution flow (a callback, a discount, a redo) instead of a public review link. 40% of intercepted detractors become repeat customers.
No. One well-timed message after the job, personalized with the job details. Response rates average 35 to 40% because it reads as a person who did the work checking in.
Yes. Each location gets its own review funnel, response templates, and reporting. A roll-up view gives the owner every location on one screen.
Google Business Profile, Yelp, Facebook, BBB, and the trade platforms (Angi, HomeAdvisor, Thumbtack). We also connect to your scheduling system so each review is tied to the job and the tech.
Review volume typically doubles within 30 days. Rebooking revenue starts in month 2 as the nurture sequences mature. Most operators see full ROI by month 3.