See Qualified Lead Cost by Ad, Not Just Cost Per Click
AI pre-qualifies tax debt leads from WhatsApp conversations. Full attribution from ad click to signed retainer.
Sound familiar?
You spent $6,000 on Meta ads last month targeting people with IRS debt. 200 conversations started on WhatsApp. Your intake team talked to all of them. 38 owed more than $10k. 12 qualified for an OIC. 4 signed retainer agreements. The other 162 conversations? People who owe $800. People who already filed bankruptcy. People who just wanted to know 'if there's anything they can do.' Your intake specialists spent 40 hours on conversations that were never going to convert. Popeki Track's AI reads those conversations and tells you within seconds: this person owes $47k, has an active levy, hasn't filed 2022-2024. Qualified. That other person owes $1,200 and is current on filing. Not qualified. Your team only talks to the ones that matter.
$35–80
Cost per click
Tax debt keywords on Meta Ads
15–20%
Qualification rate
Of inbound leads that meet OIC criteria
$3.5–15k
Retainer fee
Per signed tax resolution case
$50–150
Vendor lead cost
Per exclusive lead from aggregators
The Problem
What's actually costing you money every month.
80% of Your Inquiries Don't Qualify
The majority of WhatsApp leads owe under $10k or don't meet resolution criteria. Your intake team spends hours on conversations that will never convert: people who owe $800, already filed bankruptcy, or are just browsing.
= 40+ hours/month of wasted intake time
Can't Compare WhatsApp vs. Vendor Lead Cost
You're buying leads from aggregators at $50–150 each AND running your own ads, but you can't compare the two channels because your WhatsApp leads have zero attribution. You might be paying double for worse leads.
= Unknown thousands in misallocated budget
Last Year's Data Is Useless for This Year's Planning
Tax season is coming and you need to decide: which campaigns to run, which creatives to reuse, which audiences to target. But you have no per-ad conversion data. Just a total spend number and a rough lead count.
= Repeating last year's mistakes with this year's budget
How Popeki Track Changes Your Workflow
What your week looks like before and after attribution.
AI Detects Debt Amount, Filing Status, and Collection Activity
A lead who says 'I owe the IRS $52,000 and they're about to garnish my wages' gets flagged as high-priority before your intake team even reads the message. AI extracts debt amount, filing gaps, levy/lien mentions, and Revenue Officer status.
Before
Intake specialist reads every WhatsApp conversation for 10–15 minutes to manually determine if the lead qualifies for OIC, CNC, or Installment Agreement.
After
AI pre-qualifies leads in seconds. Intake sees 'Hot: $52k debt, active levy threat, unfiled 2022-2024' and picks up the phone immediately.
Compare WhatsApp Lead Cost Against Vendor Lead Cost
See real numbers, not guesses. If your Meta campaigns produce signed retainers at $380 each and your vendor charges $120 per lead with a 3% close rate ($4,000 effective cost per retainer), you know exactly where to shift budget.
Before
Two separate lead sources, no way to compare. You spend on both and hope one works. The vendor says their leads are 'exclusive,' but you have no way to verify.
After
Side-by-side cost-per-signed-retainer for every channel. Cut the vendor, scale Meta, or vice versa. Based on data, not hope.
CAPI Sends 'Retainer Signed' Events Back to Meta
The algorithm stops showing your ads to people who owe $800 and starts finding more people who look like your $52k-levy-facing, ready-to-sign clients. Meta optimizes for signed retainers, not just clicks.
Before
Meta thinks everyone who clicks is equally valuable. Keeps finding more people who ask 'Is there anything I can do about $1,200?' and never sign.
After
Meta sees which ad clicks led to signed retainers. Your next $6,000 goes to finding people who look like your best cases.
Your First Month
Here's what happens after you connect your WhatsApp Business number.
Connect your WhatsApp Business number and set up tracked links for your IRS debt, credit card debt, and OIC campaigns.
First leads arrive with full attribution. AI starts detecting debt amounts and qualification signals from conversations.
Enough data to see which campaigns produce qualified leads ($10k+ debt) vs. unqualified inquiries. Kill the worst performer.
CAPI conversion data trains Meta's algorithm. Your cost per qualified lead starts dropping as Meta learns what a real client looks like.
The Math on Qualified Lead Cost
A tax relief company spending $6,000/month on Meta typically generates 200 WhatsApp conversations. Only 38 (19%) owe enough to qualify. Of those, 4 sign retainers at $7,500 average, producing $30,000 revenue on $6,000 spend. But $4,860 of that spend went to the 162 conversations that never qualified. With per-ad attribution, you find that 2 campaigns produce 80% of your signed retainers. Reallocating budget to those campaigns cuts your cost per retainer from $1,500 to under $900.
Works With Your Stack
Popeki Track fits into your existing workflow. No rip and replace.
WhatsApp Business
Your intake team keeps using WhatsApp as they do today. Zero workflow disruption.
Meta Ads & Google Ads
Track fbclid, gclid, and UTMs across all tax debt campaigns.
Your CRM (Salesforce, custom)
Export attributed leads with AI qualification data to your existing intake system.
Frequently Asked Questions
Stop paying $80/click to talk to people who owe $800.
See qualified lead cost by ad, free for 14 days. Connect WhatsApp in 15 minutes. Your intake team changes nothing.
Start Free Trial