Midwest Family Insurance (MFI) is a 12-person independent insurance agency based in Columbus, Ohio. They sell home, auto, and life insurance primarily to families and small businesses in the greater Columbus area. Like most agencies their size, growth was limited by one thing: how many calls their two-person sales team could make in a day.
The Problem
MFI's sales reps were spending roughly 30 hours per week on cold calls — dialing through purchased lead lists, leaving voicemails, and following up with no-answers. On a good week, they connected with 40 prospects and booked 4 meetings. That is a 10% meeting-booking rate from connections, and connections themselves were only about 15% of total dials.
The math was brutal:
- ~500 dials per week
- ~75 connections (15% connect rate)
- ~4 meetings booked (5.3% booking rate from connections)
- Cost: 30 hours of rep time = $1,200/week at fully loaded cost
- Cost per meeting: $300
The Setup
MFI signed up for CallTone in late December 2025. Their onboarding took less than an hour. Here is what they configured:
Agent creation: They built a voice agent named "Sarah" with a warm, conversational tone. The system prompt was crafted to introduce Sarah as calling from MFI, mention the prospect's name and area, ask a qualifying question about their current insurance coverage, and offer a free policy review.
Knowledge base: They uploaded their product brochures, a FAQ document covering common objections (pricing, switching hassle, coverage gaps), and a competitor comparison sheet.
Campaign setup: They uploaded 2,000 contacts from their lead provider and configured the campaign to call Monday through Friday, 9 AM to 5 PM EST, with a maximum of 200 calls per day.
Week 1 Results
In the first week, the results exceeded every expectation:
- 843 calls completed (automated, no human effort)
- 312 conversations (37% connect rate — nearly 2.5x their manual rate)
- 18 meetings booked (5.8% booking rate from connections)
- Cost: $89 in platform fees + approximately $40 in call minutes
- Cost per meeting: $7.17
That is a 340% increase in meetings booked (from 4 to 18) and a 97.6% reduction in cost per meeting (from $300 to $7.17).
Why It Worked
Several factors contributed to the dramatic improvement:
Volume: The AI agent made 843 calls in a week. Two human reps were making 500. More dials means more connections.
Consistency: Every call got the same professional delivery. No fatigue at 4 PM on a Friday, no rushing through calls to hit quota, no bad days.
Better connect rates: CallTone's STIR/SHAKEN verified numbers and proper caller ID (displaying "Midwest Family Insurance") meant fewer calls going to voicemail or being screened.
Intelligent objection handling: Because the knowledge base included common objections and responses, the agent handled "I already have insurance" and "I'm not interested" naturally, often converting initial resistance into curiosity.
Freed-up rep time: With cold calling automated, the two sales reps shifted their 30 hours per week to conducting the meetings the AI booked. Their close rate on those meetings was 35%, because they were talking to pre-qualified, interested prospects instead of cold contacts.
Month 1 Summary
| Metric | Before (Manual) | After (CallTone) |
|---|---|---|
| Calls per week | ~500 | ~850 |
| Meetings per week | 4 | 15-20 |
| Cost per meeting | $300 | ~$8 |
| Rep hours on cold calls | 30 hrs/week | 0 hrs/week |
| New policies written (month) | 6 | 22 |
Key Takeaways
- Automation multiplies capacity, not just speed. The AI was not faster at individual calls — it was available for all of them.
- The knowledge base is the secret weapon. Uploading objection-handling material made the agent effective, not just persistent.
- Freed-up human time is the real ROI. The 30 hours per week redirected to closing deals is what drove revenue.
- Start with a simple script and iterate. MFI refined their agent's system prompt three times in the first week based on call transcripts. Continuous improvement matters.