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.
Whether you're a video-native course creator running launches or a paid-acquisition operator scaling a $1,997 signature program — the platforms can't see what they need to optimize. Purchase events miss. VSL buyers convert days outside the attribution window. Form-fill optimization scales tire-kickers, not buyers. And the 5-15% refund rate flows back to nobody. These systems close every signal gap.
Pick how you want to scale your paid acquisition
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.
20–25%
75-80% of iOS users invisible to Meta without server-side CAPI
30–50%
Client-side pixel only. Server-side CAPI lifts to 85-95%
3–14 days
Median sale lands 3-7 days after registration; high-ticket up to 14
5–15%
30-day window. Higher on impulse-pitched offers, lower on application funnels
+18–30%
Trend accelerating — channel diversification is no longer optional
Kajabi, Skool, and Circle don't ship proper Conversions API. Effective purchase coverage on Meta sits at 30-50% of actual sales. The algorithm makes its decisions on bad data — and you've been paying for the gap for three years.
Prospect registers Monday, watches the replay Wednesday, decides Friday, pays Sunday. Meta's 1-day click attribution closed three days before the sale. Your real ROAS is often double what the platform reports — but you're optimizing on the platform's number.
Registration cost is $4-7, show-up rate is 35%, pitch-to-buy is 4-8%. The math works on paper. But the algorithm keeps finding people who love free webinars and never spend money. The fix isn't more leads — it's teaching the algorithm what a buyer looks like.
High-ticket info products see 5-15% 30-day refunds, plus chargebacks, plus failed installment payments. None of it flows back to Meta or Google as negative signal. The algorithm has no reason to stop finding more refund-prone buyers — so it doesn't.
“Meta's attribution post-iOS 14 is a joke. CAPI from Kajabi is just not reliable.”r/PPC
“Tried Google Ads for my webinar funnel. CPA was triple Meta. Then I found out I wasn't doing competitor keyword targeting at all — just broad interests. Rebuilt it and now it's actually comparable.”r/onlinecourses
“If you're not pushing refunds back to Meta as negative signal you're literally training the algorithm to find you more refund-prone buyers.”r/digital_marketing
Before
Meta-only acquisition with ~40% effective purchase coverage. Day-1 attribution making launches look unprofitable until day 9. Form-fill optimization scaling tire-kicker volume. Refund rate quietly compounding bad-signal training in the algorithm.
After
Server-side CAPI lifting Meta coverage to 85-95%. Engagement-weighted conversions optimizing for buyers, not registrants. Refunds and chargebacks fed back as negative signal. Two-track architecture so cold education and closer ads run on different audiences.
These are representative outcome patterns we've seen from operators implementing these systems. Details are anonymized; numbers are realistic for the vertical.
Operator profile
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.
Each product builds on the previous one. Start where you are, progress at your own pace.
Stripe → Meta CAPI + Google Enhanced Conversions running server-side, deduped against pixel events, with refunds and chargebacks pushed back as negative signals. Optimize for paid customers who keep paying.
Our system for generating, launching, and analyzing high volumes of Meta ad creatives using AI APIs and bid-cap strategies.
Meta knows your behavior. AI chatbots know your thoughts. When they figure out how to ship ads at scale, it's going to be a completely different level of targeting.
Every system on this page is what we install for our own clients. If you'd rather have us run it with you — or for you — these are the paths.
Pick the path that matches where you are. Build it yourself with the products below, book a 1:1 session for expert eyes on your account, or have us run it for you end-to-end. Every purchase ships with instant access and lifetime updates.
Or book a free 15-min audit if you're not sure which path fits.
60 minutes with the founder on CAPI architecture, VSL attribution, launch sequencing, and two-track funnel design. Best before your next launch window.
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.
Outcome
Reported Meta ROAS climbed to 2.4x (signal coverage caught up to reality), refund rate fell to 6%, cost-per-buyer dropped 31% at flat spend.
Operator profile
Starting point
8,400 registrants/launch at $4.20 CPL, 3.1% buy-rate, day-1 attribution making every launch look unprofitable until day 9 by which point budget had already shifted to cheaper-registration audiences.
What changed
Applied Landing Page System engagement scoring (watch-time + email-click weighted as soft conversions), shifted budget to optimize on engagement-score not registration, and added Demand Gen YouTube for cold education.
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.
Operator profile
Starting point
Application funnel was generating volume but close-rate had been falling 6 months straight (28% → 14%). Refund/cancellation rate hit 13%.
What changed
Connected the CRM (HighLevel) to both ad platforms via the Measurement System, pushed paid-and-stayed customers back as the conversion event, and used the AI Agentic System to manage cold-vs-retargeting budget daily.
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.
Top-of-funnel education campaigns built for content consumption and email capture, paired with a retargeting layer that closes warm prospects on day 3-14. Stops the same prospect from being hit with a 'BUY NOW' ad on day one.
Already running $50K+/mo in ad spend? See Premium Advisory