Most home-service operators leave 30-50% of their leads unqualified — either booked when they shouldn't be, or rejected when they should've been worked. AI fixes this if you build the logic right. Here's the exact playbook we use at SimpliScale.
Before scoring leads, define who you don't want. Wrong service area? Out of budget range? Wrong product type? Build the disqualifier list first — this is what most operators skip.
Every trade has 5 questions that determine whether a lead is real. For roofers: damage type, insurance involvement, decision-maker, urgency, address. For HVAC: emergency status, system age, decision-maker, home age, scope. Define yours.
AI should score on the call, not after. By the time the call ends, the lead should be in the right CRM bucket with the right tag and the right routing decision applied.
Hot lead → comfort advisor calendar in next 24 hours. Warm lead → 5-day SMS sequence. Cold lead → nurture list. Disqualified → polite decline + remove from spend.
Track AI qualification accuracy weekly. Listen to 5-10 calls. Refine. The first 30 days of any custom AI deployment are about tuning the logic.
Book a free AI audit. We'll show you exactly how much revenue you're leaving on the table — and what a custom build would look like for your business.
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