Real lessons from $20M+ of operated spend across 200+ growth teams. Attribution, paid media, creative engines, funnels, and GTM — from the operator side of the desk.
Six Central Jakarta properties. OTA dependency at 15-25% commission. No attribution framework. Rp 2.41B in tracked direct booking revenue, seventeen months later.
I never meant to start an agency. I’d hired enough that underdelivered. Then founder friends asked for help, and the referrals didn’t stop. Two years later, 100+ specialists, $0 outside funding. Here’s why.
A Malaysian furniture brand spent 18 months on a campaign treadmill at $12K/mo — break-even at best. One pattern analysis later: CAC dropped 42% and they scaled to $28K/mo without it climbing back.
CAC climbing. Creative that worked last quarter doesn't anymore. Before you hire help, run this six-element audit yourself — you'll know whether creative is actually your bottleneck or whether the problem lives elsewhere.
Same product, same ads, same targeting. Malaysia converts at 4.8%. Indonesia at 1.2%. The gap isn't skill — it's assumptions about connectivity, payments, devices, and culture compounding into very different unit economics.
Two Indonesian skincare brands. Same Meta budget, same AI tooling. Six months later, one was scaling profitably; the other was pulling paid acquisition entirely. The difference wasn't the AI — it was what they fed it.
A SaaS company spent $30K and got 4 trial conversions. Same budget, same audience, three rewrites later: 11 conversions. Same brand. Same product. Just specific instead of generic. The math is brutal — and fixable.
A DTC skincare brand had 200+ experiments in a 47-tab spreadsheet. When the media buyer left, the new hire couldn't answer basic questions. Here's the artifact that fixes it — plus how to keep it alive with Claude + Meta MCP.
A B2B SaaS team burned $380K on 14 months of "testing" across Meta, Google, LinkedIn — and couldn't name the ICP. The reframe: the ad is a byproduct, the learning is the asset.
A D2C brand burned $80K in eight weeks chasing ROAS by doubling budgets. ROAS collapsed from 3.2 to 0.9. The ad didn't fail — the scaling broke it. Here's the four playbooks that work.
A Series B brand spent $2.3M on hundreds of tests and couldn't explain what they'd learned. Here's the system that compounds insight every cycle — and how Claude + Meta MCP closes the capture loop.
Last-click is lying to your CFO. Here's what we learned rebuilding the attribution stack on $20M+ of operated spend.
Most wellness funnels lose 60-70% of customers between first purchase and second. The drop is invisible if you only track CAC.
Meta and Google reject ~1 in 4 healthcare ad variants. Here's the two-stage review process that gets approval rate to 95%+.
Wellness brands run 30-50% of their growth through creators, but most can't tell which one drove what revenue. The stack we shipped to fix it.
Ashley Group was paying OTA commissions on revenue they should have owned. Two years later, direct booking is their top-performing channel.
ITP, ATT, third-party cookie deprecation — pick your poison. The infrastructure that survives them all, walked through end-to-end.
ROAS is a single-purchase metric. Wellness is a multi-purchase business. Here's the cohort model that breaks the lie.
Reception speed-to-lead matters more than CPL in healthcare. The SLA + automation stack that lifts show-up rate by 40%+.
We ran the same script through AI avatars and real founders across six accounts. The result surprised us. Here's the data.
Multi-language creative, currency-aware funnels, document upload flows. The healthcare brands that get cross-border right rebuild from the form up.
A drop in blended CAC isn't always good news. The three reasons it falls and the one reason that actually compounds.
We screen-recorded every onboarding from the top wellness apps on the App Store. Five patterns that win, three that consistently fail.
Free 30-min teardown. Three specific moves you can ship next week. The same lens we bring to every post above.
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