Google Ads for Info-Product Operators

Path 1 · DIY

Install the system yourself

Wire server-side CAPI, VSL engagement scoring, and refund signal feedback yourself using our playbooks. For info-product operators who want to learn the signal layer.

Fix the Signal Layer

Your purchase events fire late, miss, or never reach Meta at all

Kajabi, Skool, and Circle don't have proper Conversions API integrations. Purchase events fire client-side from a thank-you page that half your buyers never see (mobile redirects, Stripe Checkout overlays, app deep-links). After iOS 14 + ATT, your effective signal coverage on Meta has been ~40% of actual sales for years. The algorithm is making its decisions on bad data.

Your VSL funnel buys on day 3-7. Meta's attribution window closed on day 1.

Prospect registers Monday. Watches the 75-minute replay Wednesday. Reads your follow-up email Friday. Books a call Saturday. Pays Sunday. By the time the sale fires, Meta has long since attributed the original click to organic and reallocated spend to whatever generated cheaper registrations. Your real ROAS is double what the platform reports — but you're optimizing for the platform's number.

Leads are abundant. Buyers are scarce. The funnel is optimizing for the wrong end.

Your registration cost is $4-7. Your show-up rate is 35%. Your pitch-to-buy is 4-8%. The math works — but only on paper. Meta keeps finding people who love free webinars and never spend money. Your form-fill optimization is scaling lead volume, not customer LTV. The fix isn't more leads. It's teaching the algorithm what a buyer looks like.

The platforms never see your 5-15% refund rate, so they keep finding more refund-prone buyers

High-ticket info products see 5-15% 30-day refund rates. Plus chargebacks. Plus failed installment payments. None of that flows back to Meta or Google as negative signal. You're paying full ad cost to acquire customers who will be refunded next month — and the algorithm has no reason to stop finding more of them.

Operator profile

A solo info-product operator running a $1,997 signature program at $22K/mo Meta spend

Starting point
Reported Meta ROAS 1.4x, real (post-CAPI) ROAS estimated near 2.6x. Refund rate at 11%. No retargeting separation — same audience hit with cold and closer creative simultaneously.
What changed
Wired Stripe → Meta CAPI + Google Enhanced Conversions server-side, pushed refunds back as negative purchase events, and split the funnel into a cold-education track and a 14-day retargeting close track with separate creative and budget pools.

Path 3 · Done-For-You

Have us run it for you

Full launch + evergreen ad ops across Meta + YouTube + email. Creative testing, CAPI maintenance, refund signal hygiene, and engagement-weighted optimization. For $20K+/mo info-product operators.

Book a fit call

Operator profile

A 4-person team running a cohort program ($2,997, 4 launches/year) at $45K/launch budget

Starting point
Webinar funnel — 8,400 registrants/launch at $4.20 CPL, 3.1% buy-rate, but day-1 attribution made every launch look like it was losing money until day 9, by which point spend had already shifted to broader cold lookalikes.
What changed
Applied the Landing Page System engagement scoring (watch-time + email-click weighted as soft conversions), shifted budget to optimize on engagement-score not registration, and added a Demand Gen YouTube layer for top-of-funnel education to reduce Meta dependence.
Outcome
Buy-rate climbed from 3.1% to 4.7%, launch revenue up 38% on the same $45K, Meta share of paid revenue dropped from 92% to 71% with the rest from Google/YouTube — channel diversification finally working.

Operator profile

A high-ticket mastermind operator selling $25K applications at $80K/mo combined Meta + Google spend

Starting point
Application funnel was generating volume but close-rate had been falling 6 months straight (28% → 14%) — algorithm was finding 'application clickers' instead of qualified buyers. Refund/cancellation rate hit 13%.
What changed
Connected the CRM (HighLevel) to both ad platforms via the Measurement System, pushed actual paid-and-stayed customers back as the conversion event (not applications), and used the AI Agentic System to manage the cold-vs-retargeting budget split daily based on pipeline-fit score.
Outcome
Close-rate recovered from 14% to 24% in 11 weeks, refund rate down to 5%, cost-per-paid-customer fell from $4,800 to $2,650 — and the operator added a second annual cohort without adding ad spend.

iOS 14 Killed Your Meta Optimization Signal Three Years Ago. The Algorithm Is Still Finding You Refund-Prone Buyers Because Of It.

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Install the system yourself

The numbers in your market

Sound familiar?

Your purchase events fire late, miss, or never reach Meta at all

Your VSL funnel buys on day 3-7. Meta's attribution window closed on day 1.

Leads are abundant. Buyers are scarce. The funnel is optimizing for the wrong end.

The platforms never see your 5-15% refund rate, so they keep finding more refund-prone buyers

Real voices, real frustration

What operators in this situation typically achieve

A solo info-product operator running a $1,997 signature program at $22K/mo Meta spend

The recommended product sequence

Server-Side CAPI + Refund/Chargeback Feedback

Two-Track Ad Strategy (Cold Education + Retargeting Close)

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Have us run it for you

A 4-person team running a cohort program ($2,997, 4 launches/year) at $45K/launch budget

A high-ticket mastermind operator selling $25K applications at $80K/mo combined Meta + Google spend

VSL-Aware Funnel Pages with Engagement Scoring

AI Agentic System — Flagship

The YouTube Attribution Problem (And How to Actually Measure Top-Funnel Impact)

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