Use cases / Follow-up & Estimates
Case Study: Estimate Follow-Up and Nurture Synced From the Roofing CRM (Brown Roofing)
Last updated · Reviewed by Jacob Campos
Short answer: Follow-up on new leads and open estimates was left to individual reps, so it was slow and inconsistent, and aged leads were never nurtured. The fix: Connect every lead source so new leads get a text in seconds, then follow the 4-step workflow below using Hatch (SMS, voice, email) + AccuLynx + Google Ads/LSA/web forms. It's rated medium to set up, and you should measure results against your own baseline.
The problem: Follow-up on new leads and open estimates was left to individual reps, so it was slow and inconsistent, and aged leads were never nurtured.
- Trades
- Roofing
- Category
- Follow-up & Estimates
- Difficulty
- Medium
- ROI lever
- Close rate on estimates
- Tools
- Hatch (SMS, voice, email) + AccuLynx + Google Ads/LSA/web forms
Workflow
- Connect every lead source so new leads get a text in seconds.
- Trigger post-appointment estimate follow-up from CRM status changes.
- Run longer nurture campaigns for leads that never booked, never signed, or cancelled.
- Make speed-to-lead a tracked company KPI and review response rates monthly.
Starter prompt
What to measure
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FAQ
What tools do I need for case study: estimate follow-up and nurture synced from the roofing crm (brown roofing)?
A typical stack is Hatch (SMS, voice, email) + AccuLynx + Google Ads/LSA/web forms. Pricing varies by vendor and plan, so check each vendor's current pricing page. Start with tools you already pay for when they cover the job.
How hard is this to set up?
It's rated medium. Start with step one: Connect every lead source so new leads get a text in seconds.
How do I know if it's working?
The main lever is close rate on estimates. Record your baseline for a few weeks before you switch it on, then compare. Vendor-reported (Hatch case study; not independently verified): Brown Roofing (Connecticut) reports its year-to-date conversion rate rose from the low 70s to 86% in a few months after automating speed-to-lead and estimate follow-up from AccuLynx data, with a 74% speed-to-lead response rate and a 71% estimate follow-up response rate. Source: https://www.usehatchapp.com/case-studies/brown-roofing
Is it safe to let AI talk to customers?
Keep a human in the loop for prices, promises, and complaints. Any customer-facing AI should hand gas smells, sparking, smoke, or active flooding to a human or emergency services right away.
Sources
Official vendor and platform pages for the tools and policies named above. We don't endorse any vendor.
Safety note: any customer-facing AI should hand gas smells, sparking, smoke, or active flooding to a human or emergency services right away. Last updated 2026-10-20. How we pick and check use cases.
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