What every agent says
"Leads don't pick up. Aged leads are dead. 90 days old, forget it."
One agency handed us its dead list: leads 90+ days old.
15,400
AI calls to that list
Published case study · final expense life agency · client unnamed
insperaai.com · case studies · Final Expense AI Dialer
Where they started
Five reps dialing leads nobody picks up.
5
life insurance reps on the phones
90+
days old: the leads they were dialing
$
every name already paid for
Why agents give up on old leads
The leads aren't the problem. The math is, for a human.
What dialing an aged list feels like
- The same names every other agent bought
- Hours gone before a real conversation
- It turns into a chore
- Reps get tired, then complacent
The real ratio on this listAbout 49 calls for every appointment
15,400 calls ÷ 316 appointments. Roughly 2% of calls booked.
Every hour on the aged list was an hour not closing fresh, exclusive leads.
The one thing we changed
Who dials the old leads.
Before
- 5 humans dialing 90+ day old leads
- Calls limited by rep hours
- The aged list treated as a chore
After
- AI dials the aged list: 500-750 calls a day
- Capacity up to 2,000 calls a day
- Reps only take booked appointments
No new script. No new lead vendor.
What happens on one call
No human touches a lead until it's booked.
- The AI voice agent calls a lead from the aged list
- It has the conversation and qualifies them
- Interested? It books them straight onto a round-robin calendar: whichever rep is free
- The outcome is logged and written back to the CRM
- The rep opens their day to booked calls, not a call list
What we built
Four pieces, wired together.
1 · The voice agentCalls, qualifies, books
Vapi. Calls each aged lead and books interested people into a rep's calendar.
2 · The engineRuns every call
n8n. Pulls the list, fires calls in batches, logs every outcome. Scales to 2,000 a day.
3 · CRM + calendarLands where reps work
Outcomes go back to the CRM. Appointments go straight on the calendar.
4 · ComplianceTCPA from day one
Leads had already consented. Built to be TCPA-compliant before the first call went out.
The tools don't matter. How you run them does.
How we scaled it
Get the calls right first. Then turn up the volume.
- Log every call outcome
- Read what the AI did right and what it didn't
- Fix it while the volume is still small
- Then scale: a few hundred a day, up to 2,000
Volume negates luck. But you want to be scaling a system that already works.
The numbers · first two months
15,400 calls to leads everyone gave up on.
15,400
AI calls to 90+ day old leads
~570
calls per calling day
11.7
appointments booked per day
~316
appointments in 27 calling days
~2%
of calls to dead leads booked
0 hrs
rep time on the aged list
"A 2% booking rate is horrible."
It's horrible if a human is dialing.
A rep on the aged list
- ~49 dials for one appointment
- Every hour on it is an hour off fresh leads
- Gets tired, gets complacent
The AI on the aged list
- ~49 dials for one appointment
- 0 rep hours
- Doesn't get tired
And they only called three days a week
Tuesday to Thursday. Two weekdays never used.
MONafter the weekend
TUEcalling
WEDcalling
THUcalling
FRIbefore the weekend
11.7 a day × 13 calling days ≈ 152 appointments a month, on three days a week.
Your aged list
Five questions before you buy another lead.
- How many names are sitting in your CRM?
- How old are they?
- Did they consent to be called? (TCPA first, always)
- Who dials them today, and how many hours does it cost?
- Where would a booked call land: whose calendar?
Run it on your book · your assumptions, not this client's results
What would your old list book?
Hypothetical. Type your own numbers. The agency in this video made no close-rate or revenue claim.
Sitting on an old lead list?
Leads don't stop picking up. People stop calling them.
insperaai.com/go
We'll look at what's sitting in your CRM and tell you what it could book.
Next · a different agency, Meta ads$60K → $86K a month in commissions
3x more leads, all exclusive. That video is on screen now.
