Stop Calling 80 Leads to Close 4 Policies
AI pre-qualifies final expense leads from WhatsApp conversations. Track every lead back to the exact Facebook ad that drove it.
Sound familiar?
You bought 200 final expense leads last month. You called all of them. 60 picked up. 40 were actually seniors over 50. 25 were interested. 10 had health conditions your carriers won't cover. You closed 5 policies at $600 average commission, totaling $3,000 revenue on $2,400 in lead costs. That's $600 profit for a month of work. What if you knew, BEFORE calling, that the lead on WhatsApp already mentioned they're 67, diabetic, and interested in a $15,000 policy? That's a Globe Life application you can submit in 20 minutes. Popeki Track reads the conversation and tells you: age, health mentions, coverage interest, and urgency, so you call the closeable leads first.
$20–50
Cost per click
Final expense keywords on Facebook
80–100
Dials to close
To close 3–5 policies on average
$500–800
Avg commission
Per final expense policy sold
$50–150
Vendor lead cost
'Exclusive' leads often sold to 3–4 agents
The Problem
What's actually costing you money every month.
You're Calling 80 Leads to Close 4 Policies
Half the leads are under 50, not interested, or already have coverage. You don't know which until you spend 10 minutes on each conversation. That's 13+ hours of dialing to find 4 people who will actually sign an application.
= 13+ hours/month spent on unqualified conversations
Your Ad Leads and Vendor Leads Are in the Same Pile
You can't tell if your $2,000/month ad spend produces better leads than your $3,000/month vendor spend, because nothing is tracked back to the source. You're spending $5,000/month and hoping one channel works.
= $5,000/month with no way to compare channels
Seniors Respond Slowly, And You Miss the Window
A hot lead messages at 9am, you respond at 2pm, and by then their daughter convinced them they don't need it. Or a family member responds on behalf of the senior, and you can't tell who you're actually talking to without reading the full thread.
= Lost policies because you couldn't prioritize fast enough
How Popeki Track Changes Your Workflow
What your week looks like before and after attribution.
AI Extracts Age, Health, and Coverage Interest
AI reads the WhatsApp conversation and pulls out what matters: age, health conditions mentioned (diabetes, COPD, heart issues), coverage amount interest, and whether the senior or a family member initiated the conversation. You see this on a dashboard before you ever pick up the phone.
Before
Calling every lead blind. Spending 10 minutes per conversation to manually figure out age, health status, and whether they're even a real prospect.
After
Dashboard shows '67, diabetic, interested in $15k policy, family member inquiring.' You know which carrier to recommend before you dial.
Track Every Lead Back to the Exact Facebook Ad
Your 'burial insurance for veterans' creative producing 4x the close rate of your generic 'affordable life insurance' ad? Now you know. Kill the loser, scale the winner. See cost-per-closed-policy by creative, not just cost-per-click.
Before
Running 8 Facebook ad creatives with no idea which ones produce policies. The 'best' ad has the most clicks, but clicks don't pay commissions.
After
Sort by closed policies per creative. Your veterans ad closes at $120/policy while the generic ad closes at $480/policy. Budget decision is obvious.
Conversion Events Train Meta to Find Your Ideal Seniors
When you close a policy, the conversion event goes back to Meta. The algorithm learns that 62-year-old women in rural zip codes who mention 'peace of mind for my kids' are your ideal buyers. Your next 200 leads look more like them.
Before
Meta shows your ad to anyone who looks like a 'clicker.' Gets you plenty of 35-year-olds asking about term life, which is not what you sell.
After
Meta sees which clicks led to closed policies. Optimizes for seniors who actually buy $10k–$25k whole life, not just anyone who clicks.
Your First Month
Here's what happens after you connect your WhatsApp Business number.
Connect your WhatsApp Business number and create tracked links for each ad creative. 15 minutes to set up.
First leads arrive with full attribution. AI starts extracting age, health mentions, and coverage interest from conversations.
Enough data to see which ad creatives produce qualified seniors (50+, insurable health conditions) vs. unqualified inquiries.
CAPI conversion data trains Meta to find more seniors who look like your closed policies. Cost per qualified lead starts dropping.
The Math on Final Expense Lead Quality
A solo agent spending $2,400/month on leads (mix of vendor + ads) typically closes 5 policies at $600 commission, producing $3,000 revenue and $600 profit. With per-ad attribution, you discover that 80% of your closed policies come from 2 of your 8 ad creatives. Moving budget to those 2 creatives means your same $2,400 produces 8-9 closeable leads instead of 5. That's $5,400 revenue and $3,000 profit instead of $600. Same spend, 5x the profit.
Works With Your Stack
Popeki Track fits into your existing workflow. No rip and replace.
WhatsApp Business
Keep using your WhatsApp Business on your phone. Popeki Track works in the background.
Facebook / Meta Ads
Track every click from your final expense ads to the WhatsApp conversation.
Globe Life / Mutual of Omaha / Foresters
Know which carrier fits each lead before you call, based on health signals detected by AI.
Frequently Asked Questions
Know which seniors are qualified before you pick up the phone.
Try it free on your next 50 leads. Connect WhatsApp in 15 minutes. You keep using your phone exactly as you do today.
Start Free Trial