Red Oak Tree Service books 800+ estimates from Facebook leads
MediaBloom partnered with Red Oak Tree Service to turn Facebook ad leads into booked estimates. Using AI voice callers, chatbots, and SMS systems, we booked roughly 800 new estimates in just over a year — giving their crews a steady, predictable pipeline of qualified jobs.
O desafio
This outlines how MediaBloom partnered with Red Oak Tree Service to generate and convert Facebook ad leads into booked on-site estimates.
Our goal was to build a consistent lead-to-estimate pipeline — generating new leads through Facebook ads and converting them instantly using AI voice callers, chatbots, and SMS systems.
Through multi-channel automation and natural-sounding Voice AI, we helped Red Oak Tree Service engage leads within seconds, nurture the ones who didn’t pick up, and book estimates directly onto their crews’ calendars.
O que nos propusemos a fazer
The goal of this project is to turn cold Facebook leads into booked on-site estimates using MediaBloom’s AI voice, chatbot, and SMS system.
- Generate high-intent local leads through Facebook ad campaigns.
- Engage every new lead instantly with AI voice callers and chatbots.
- Follow up unresponsive leads through automated SMS sequences.
- Book qualified estimates directly onto the crew’s calendar.
By deploying this system, Red Oak Tree Service maintained a steady pipeline of qualified estimates, reduced manual follow-up, and kept their crews booked out over a full year of growth.
Resultados que falam por si
Results That Speak for Themselves:
- 800+ Estimates Booked
- Over 12 Months Of Consistent Pipeline
- AI Voice, Chatbot & SMS Systems Deployed
- Facebook Ad Leads Converted At Scale
Related reading for home services teams
MediaBloom for Home Services
Book every job. Dispatch every tech.
Explore Reactivation AI
Autonomous agents re-engage cold leads and lapsed customers at scale, across voice, SMS, and email - recoverin
How Speed to Lead AI works
Engage every inbound in under 60 seconds.
Book a 20-minute demo
Scope a deployment like this for your own team.
