Case study · 75-day engagement
A Nashville tree service company had been doing this for 14 years. They had eight crews and a yard full of equipment. They were profitable. They were also riding the worst feast-or-famine cycle in their industry: $96k revenue weeks during storm season, $11k weeks in mid-winter. The crew was either burned out or sitting at the shop on standby.
The challenge
Tree service is a weather-driven category in a way that nobody outside the industry quite gets. After a Nashville thunderstorm rolls through with 60-mph winds, the phone does not stop for ten days. Three weeks later in dry weather, a six-truck operation might book two jobs in a week. The owner had built the business but he had never been able to flatten the curve.
When we audited:
The plan
Hooked a Weather.gov severe-weather feed into the Google Ads budget. When wind speeds in metro Nashville cross 45 mph or hail is reported, the daily ad budget auto-bumps 5x for 72 hours, then auto-decays back to baseline. The budget shift happens within minutes of the storm starting.
Single page that shows the latest local storm reports, the crew availability ("3 crews dispatched, 2 available now"), an emergency click-to-call, and a 30-minute response promise. Page goes live whenever the weather trigger fires.
CallRail with 4 simultaneous lines now routes overflow to a part-time virtual receptionist who triages: emergency vs estimate vs follow-up. No more voicemails during the storm window. Recovery rate on overflow calls is around 88%.
Built 11 evergreen service pages: tree health assessment, preventative pruning, deep root fertilization, dormant pruning, oak wilt prevention, ash borer treatment, storm-prep evaluation, and others. Plus a "winter tree care" landing page that ran ads during November-February.
Quarterly SMS to the 4,200-customer database with a season-relevant offer ("free 5-point tree check this fall," "25% off dormant pruning before March"). About 7% of recipients book within two weeks of each blast.
AI tools we used
We do not pretend the work happens by hand. Three of our internal tools are the reason this engagement moved as fast as it did. Each of them replaces what used to be days of human time.
Reads NOAA / Weather.gov severe weather alerts, auto-scales the Google Ads daily budget when local thresholds are crossed, and decays back to baseline 72 hours later.
Detects burst call volume (>15 calls in 20 min) and auto-routes excess to a triage line so no caller hits voicemail during the storm window.
Segment-aware SMS bot that sends seasonal offers to your existing customer base. Costs about 6 cents per SMS, books work at $34 per booking on average.
The execution
| Week | What we shipped | What moved |
|---|---|---|
| Week 1 | Weather-API integration deployed, storm landing page built | First triggered storm response on day 5 |
| Week 2 | Phone overflow routing live | No more voicemails during storm bursts |
| Week 3 | First 4 evergreen service pages shipped | Long-tail organic +30% MoM |
| Week 4 | SMS reactivation campaign first wave | 146 bookings in 10 days from old customers |
| Week 6 | Service pages 5-8 + "winter tree care" landing page | Off-season ad CTR climbing |
| Week 9 | Mid-engagement review | Off-season weeks up from $11k to $31k average |
| Week 12 | Quarterly review, retainer extended | Volatility cut 60%, run rate stable |
The numbers
The volatility cut came from:
The owner stopped trying to predict the weather and started building systems that responded to it. The crews still have storm weeks. They no longer have dead weeks. Sales have a floor under them now.
I told the last guy I needed help with seasonality. He pitched me on a brand campaign. I asked him what brand campaigns do during a tornado warning. He did not have an answer. ActionScale built me an answer.
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