GTMLab
Our focus

Paid ads growth — and nothing else.

We don't do brand. We don't do generalist work. Five disciplines stacked together to make one outcome: a paid engine that compounds every month.

The 5 services we shipPerformance MarketingThe growth engine itself. Paid acquisition across every channel.Performance CreativeAds that win the auction. AI-tuned creative production at scale.Funnel Strategy & CROConversions, end to end. Landing pages, funnel rebuild, A/B testing.Data & AnalyticsEvery dollar traced. Dashboards, attribution, AI signal monitoring.GTM & Growth LabStrategy that ships Monday. Channel tests, positioning, expansion.
All 5 in motion
Full-stack engagementLuxury Boat Tours
A luxury boat tours relied on OTAs for bookings. We rebuilt their paid acquisition, and in under 2 months, direct revenue up 30%, CAC down 35%.
>30%Direct Website Bookings increase
>20ROAS
Our WorkCase StudiesClientsProofTestimonialsCreativesFunnels (coming soon)
Featured case study
FeaturedLuxury Boat Tours
A luxury boat tours relied on OTAs for bookings. We rebuilt their paid acquisition, and in under 2 months, direct revenue up 30%, CAC down 35%.
>30%Direct Website Bookings increase
>20ROAS
IndustriesHealthcareWellnessEcommerceHospitalityTourismTech StartupsPropertyEvents & Conferences
ResourcesBlogTeardown Library (coming soon)Events (coming soon)Talks (coming soon)
WorkshopsGTM Mapping0→1 / pre-revenue founders. Map your full GTM.Growth DecodePMF + paid spend. Decode competitors, rebuild engine.Bali Tour 2026 (ended)20 workshops · 2 weeks · May 2026 wrap-up.Australia Tour 2026 (planning)Sydney · Melbourne · Jun–Jul 2026.
From the blog →
AI Alone Is Useless — Why I Built GTMLab.
Building a growth system, not a campaign treadmill.
How to audit your creative without hiring an agency (yet).
Southeast Asia's paid-ads blind spot — why localising creative beats generic scaling.
Join the bench
CareersJoin our team
100 specialists. Operator-grade pedigree. Currently hiring 5 senior roles.
5Open roles
6+Countries
100+On bench
Our story
AboutAbout GTMLab
Operator-led, senior-only, built by tech-founders.
2024Founded
~100Senior marketers
200+Teams shipped for
Let’s Talk →

Turn ad spend into revenue you can trace.

Forbes 30 Under 30 Team · Y Combinator Alumni · $20M Ad Spend Operated

Let’s Talk →
GTMLab

Paid ads growth — and nothing else. Five disciplines, one engine, every dollar traced.

Available for Q3
Jakarta · GMT+7 · global delivery

Services

  • Performance Marketing
  • Performance Creative
  • Funnel Strategy & CRO
  • Data & Analytics
  • GTM & Growth Lab

Our Work

  • Case Studies
  • Clients
  • Proof
  • Testimonials
  • Industries

Resources

  • Blog

Company

  • About
  • Careers
  • Contact
© 2026 GTMLAB.AI · 200+ brands · $20M+ ad spend operated
Data & Analytics Service

Trace every dollar from click to revenue.

Most teams make decisions on broken data. We rebuild the foundation — clean tracking, honest attribution from click to sale, and live dashboards your whole team can actually read.

Book a strategy call ↗
★ ★ ★ ★ ★
Trusted by 200+ brands
Ashley GroupDoré by LeTaoIHH HealthcareLion Parcel
BluuuELSA SpeakIkigaiMedifly
Central WellnessGleneaglesKAIEMount Elizabeth
CinepolisGoDrinksLazadaPalma Islands
We are experts at

Every layer of the data stack paid growth runs on.

12 capabilities under one data pod. From the tag that fires on your landing page to the dashboard your whole team reads — every event instrumented, every dollar traced, every model defensible.

Stack

Server-Side GTM

sGTM endpoints · deduplication · first-party

Stack

GA4 & Universal

Events · conversions · audiences · BigQuery export

Stack

Meta & Google CAPI

Conversion API · advanced matching · value

Stack

Data Warehouse

BigQuery · Snowflake · Postgres pipelines

Stack

BI & Dashboarding

Looker · Tableau · Metabase · Hex

Stack

CDP & Identity

Segment · RudderStack · identity stitching

Discipline

Attribution Modelling

MTA · MMM · last-click vs data-driven

Discipline

Event & Value Modeling

Server-to-server · dedup keys · value match

Discipline

Live Revenue Dashboarding

Real-time pipelines · multi-stakeholder views

Discipline

AI Signal Monitoring

Anomaly detection · drift alerts · daily scans

Discipline

Data Quality Audits

Tracking gaps · dedup · cohort accuracy

Discipline

Data Governance

GDPR · CCPA · consent mode · vendor audits

What we typically find

Every audit finds something hidden. Usually a lot.

These are the patterns we see across the first 90-day audit of every new account. Most teams are flying blind on at least three of them — and optimizing budget on broken data they don't know is broken.

$1.4MAttribution

Mis-attributed ad spend uncovered.

Across 23 audits we ran last year. Most clients had GTM events firing twice — counted as separate conversions, attributed to the wrong source.

23%Deduplication

Conversions counted twice.

Average across the first 100 accounts we audited. Server-side and client-side events firing without deduplication keys.

4 of 5Attribution Models

Models disagreed by >30%.

When we ran last-click, MTA, MMM, and platform-reported attribution on the same data, four out of five told different stories about which channels were working.

48 hrsReporting Lag

From event to dashboard.

Average lag we measure on new accounts. Most teams find out about a leak two days after it started. We cut this to under one hour with the AI signal layer.

62%Identity

Returning users tagged as new.

Cross-device, cross-platform identity stitching is broken on most ad accounts. Looks like new-user growth on paper — actually 60%+ duplicates.

3 in 4CAPI

Broken value matching in CAPI.

Meta and Google optimization algorithms bid on the revenue signal you send back. Three out of four accounts send the wrong number — so the algo optimizes toward the wrong bid.

Why us

Why our data foundation actually holds.

TRACKING FOUNDATIONS

Tracking that survives audit.

Server-side GTM, deduplication keys, value matching, identity stitching — done right in week one. The foundation everything else stands on. Most teams skip this and optimize on numbers that quietly lie to them.

AI DRIFT DETECTION

Drift caught daily, not at month-end.

AI scans every event stream 24/7. Tracking gaps, conversion drops, revenue lag, identity mismatches — flagged in Slack the day they happen, not in the MTD report when the budget is already gone.

AUDIT-FIRST, FIX-AFTER

Audit before we touch anything.

Most agencies start optimizing on day one. We don't. The first 14 days are pure audit — every tracking gap surfaced, every duplicate counted, every attribution mismatch logged. Then we fix in order of dollar impact.

DEFENSIBLE ATTRIBUTION

Attribution that holds up to scrutiny.

MTA, MMM, last-click, platform-reported — we run them in parallel and reconcile the gaps. One number per channel, defensible to anyone in the room, including the auditor and the board.

DASHBOARDS BUILT TO BE READ

Dashboards your whole team will actually open.

Three views of the same source data: ops (daily decisions), leadership (revenue + CAC + LTV), founder (the one number that matters this quarter). Each tuned for who reads it — not for what the BI tool defaulted to.

DATA COMPOUNDS

Every event today sharpens tomorrow's signal.

Once the foundation is right, every event captured improves the next attribution run, the next AI scan, the next budget decision. Your data layer gets smarter every month it runs — and the gap to teams without one keeps widening.

Use cases

Eight scenarios our data foundation is built for.

Every team walks in with a different version of the same problem — broken numbers, untrusted dashboards, blind spots. Eight scenarios we see most.

TRACKING REBUILD

iOS 14.5 broke your attribution. Server-side restores it.

Most accounts have lost 30–50% of their conversion signal since iOS 14.5. Server-side GTM + CAPI rebuild brings 80%+ of it back — measured against pre-2021 baselines.

CAPI IMPLEMENTATION

Meta CAPI without value matching is mostly useless.

Most accounts set up CAPI without passing revenue values back. Meta's optimization algo bids on the wrong signal. We fix the value matching, dedup, and event quality score — usually a 20–40% efficiency lift.

GA4 MIGRATION

Stuck mid-migration. Half on UA, half on GA4, all wrong.

The Universal Analytics sunset hit you mid-migration. Conversions don't match. Audiences don't sync. We finish the migration, reconcile the historical data, and lock the event schema.

DASHBOARD CONSOLIDATION

5 dashboards, 3 revenue numbers, no idea which is right.

Sales has HubSpot. Marketing has Looker. Leadership has a spreadsheet. We collapse them into one source of truth + three views — one per audience. Same data, no more reconciliation meetings.

MULTI-MARKET ATTRIBUTION

Each country uses different accounts. No consolidated view.

Different currencies, different ad accounts, different attribution windows. We build a unified data layer that normalizes everything to one currency and one attribution model — so global ROAS finally means something.

CHANNEL RECONCILIATION

Meta says +$200K. GA4 says +$80K. Who do you believe?

Platform-reported attribution always inflates. GA4 always under-reports. We build a third, defensible model that splits the difference — and explains why each one was wrong.

PIPELINE DASHBOARDS

HubSpot pipeline, Looker spend, no ROAS-to-closed-won.

Marketing reports ROAS. Sales reports closed-won. Nobody connects them. We pipe both into the warehouse and build the join — so you can finally say "this campaign drove this revenue" with a straight face.

DECISION-READY REPORTING

Leadership asks "where did the $400K go?" — and you can't answer.

The board wants a clean answer. Most marketing teams can't give one. We build a P&L-shaped marketing report: spend by channel, revenue by source, blended CAC, LTV trend. Leadership signs off in 30 minutes, not 3 days.

Process

From kickoff to compounding.

4 weeks to deploy. Then a system that gets sharper every month. Two phases, one team, one accountability line.

Week 1

Audit & Research

What happens

Full tracking audit. Every event mapped, every duplicate counted, every attribution mismatch logged. We measure your lag, your dedup gaps, your CAPI value-match rate against industry baselines.

What you get

An audit report ranking every tracking gap by dollar impact. You'll know exactly where the data is lying — and what it's costing you.

Week 2

Server-Side Rebuild

What happens

Server-side GTM stood up. Deduplication keys added. Meta and Google CAPI rebuilt with proper value matching. Warehouse pipeline configured for downstream BI.

What you get

A tracking foundation that survives audit: deduplicated events, defensible value signals, identity stitched across devices.

Week 3

Attribution & Dashboards

What happens

Attribution model built — last-click, MTA, MMM, platform-reported, all reconciled. Three dashboards shipped: ops, founders. AI signal layer connected to event streams.

What you get

Live revenue dashboards your whole team will open, a defensible attribution model, and daily drift alerts in Slack.

Week 4

Optimize & Compound

What happens

First full week of clean data. AI scans flag the first round of drift. Operators reconcile, dashboards stabilize, the first clear monthly revenue statement is in your inbox by Friday.

What you get

First clean monthly statement, a tuned attribution model already outperforming baseline, and the operating cadence that sharpens every event captured after.

Account Strategy
Tracking Foundations Ongoing
Attribution & Analytics Ongoing
Dashboard & Reporting Ongoing
AI Signal Monitoring Ongoing
Then it doesn't stop
Daily

Every event watched, every hour.

AI scans every event stream 24/7 — tracking gaps, conversion drops, identity mismatches, value-match failures. Flagged in Slack before the day starts, not in next month's audit.

  • Event quality alerts
  • Drift & anomaly detection
  • Dedup & value-match scans
Weekly

Attribution reconciled, dashboards updated.

30-minute call. Last week's attribution reconciliation, top drift events caught, dashboard tweaks shipped, next week's audit items. Decisions and shipping — no status theater.

  • Attribution reconciliation
  • Drift events caught
  • Next-week audit queue
Monthly

Clear monthly revenue statement.

P&L-shaped marketing report: spend by channel, revenue by source, blended CAC, LTV trend, attribution-reconciled ROAS. Leadership signs off in 30 minutes — sent by the 3rd.

  • P&L-shaped marketing report
  • Channel attribution reconciliation
  • CAC & LTV trendlines
Quarterly

Attribution model review every 90 days.

Strategy reset session. We re-test attribution windows, re-weight channel contributions, propose new tracking events, and reconcile what the platform-reported numbers got wrong this quarter.

  • Attribution model re-test
  • Channel re-weighting
  • New tracking event proposals
Always-on

Drift alerts in Slack, not in tickets.

Dedicated Slack channel with your data pod — analyst, data engineer, dashboard lead, attribution strategist. Same-day fixes when an event stream breaks, no 48-hour escalation queue.

  • Dedicated Slack channel
  • Same-day event fixes
  • Direct line to engineering
Compliance

GDPR, consent mode, audit-ready.

Data governance built in from week one. Consent mode v2, GDPR/CCPA handling, vendor audit trails, data residency. Compliance reviews handled before procurement asks.

  • Consent mode v2 & GDPR/CCPA
  • Vendor & data-residency audits
  • Change-log & access controls
Let’s get started

See what’s hiding in your ad account.

Every ad traced to revenue
Built for growth, not maintenance
Senior operators, no junior handoff

“Most agency audits are templated — they ship the same 12 slides to every account. Ours don’t. Every teardown is custom-cut to your funnel, your spend, your category.”

Albert Lie
Co-Founder
★★★★★
Trusted by 200+ brands
Loading the scheduler…Pick a time that works — this opens automatically.
Complete the system

The other 4 disciplines that make this work.

Data & Analyticspairs naturally with our other 4 services. Most clients run 3 together — that’s where the compounding starts.

Need a custom mix? Reach out →

Performance Marketing

The growth engine itself. Paid acquisition across every channel.

SERVICE

Performance Creative

Ads that win the auction. AI-tuned creative production at scale.

SERVICE

Funnel Strategy & CRO

Conversions, end to end. Landing pages, funnel rebuild, A/B testing.

SERVICE

GTM & Growth Lab

Strategy that ships Monday. Channel tests, positioning, expansion.

SERVICE
“
Most paid growth bottlenecks live at the seam between two services — creative bleeding into media, attribution missing the funnel. The seams are where 30% of the upside hides.
Albert LieCo-Founder, GTMLab
FAQ

Questions we hear before week one.

Most engagements run 6 months minimum — the first 4 weeks are audit + foundation rebuild; months 2–6 are where attribution sharpens and the AI signal layer pays for itself. 12+ months is common because every event captured improves the next attribution run.

Across the first 23 audits we ran in 2025, average uncovered mis-attributed spend was $1.4M per account. Most clients had 20–25% of conversions duplicated and at least one attribution model the team didn't trust. We'll show you exactly what's hidden during the audit, not promise a number before.

Both options. Pure handoff: our pod owns the tracking stack, dashboards, and attribution model end to end. Hybrid: we audit + architect, your data team implements. Slack-integrated either way, and we hand back full access and documentation whenever the engagement ends.

An Account Strategist (your lead), a Data & Analytics Lead, a Data Engineer, a Dashboard / BI Designer, and our AI Signal Monitoring layer. Five to seven humans, plus AI running daily event-quality scans.

Any stack. GA4, Mixpanel, Amplitude, Segment, RudderStack, Looker, Tableau, Metabase, Hex, BigQuery, Snowflake, Postgres, dbt — we've built on all of them. We'll tell you during the audit whether your current stack needs a swap or just a rebuild on top of what you have.

That's most of what we do. The "ops dashboard" / "revenue dashboard" / "founder dashboard" pattern means three views of the same source data, each tuned for who reads it. Leadership gets the P&L-shaped view. Founders get the one number that matters this quarter. Ops gets daily decisions.

No hard floor. Accounts under 10K monthly events get the tracking foundation built right (so the data layer scales when volume does). Above 100K events/month, attribution modelling and AI signal monitoring become the workhorses. We'll calibrate the approach during the audit.

Recent wins

Real attribution. Real dollars traced.

How brands across D2C, logistics, healthcare, SaaS, and hospitality rebuilt their data foundation — and stopped optimizing on broken numbers.

Wellness
Ikigai

IKIGAI's bookings lived in one system and their ads in another — so Meta was optimising blind. We closed the loop.

MetaMetaGoogleGoogle
Data & Analytics
Read case →
HealthcareWellness
On Demand Medical Group

How we used data to double a leading on-demand doctor & wellness brand's return — while spending less.

GoogleGoogleMetaMeta
Data & Analytics
Read case →
Tourism
Luxury Boat Tours

Every booking closed over messaging and never flowed back — so every number lied. We rebuilt the read before we touched the spend.

MetaMetaForeplayForeplayTiktokTiktok
Data & Analytics
Read case →
Tourism
Luxury Boat Tours

A luxury boat tours relied on OTAs for bookings. We rebuilt their paid acquisition, and in under 2 months, direct revenue up 30%, CAC down 35%.

MetaMetaGoogleGoogleRespond.ioRespond.ioTiktokTiktokForeplayForeplay
Data & Analytics
Read case →
Healthcare
Premium Orthopedic Clinic

Ad spend was optimized by clicks while patient conversions happened offline. From spending blindly to scaling predictably.

MetaMetaForeplayForeplayTiktokTiktok
Data & Analytics
Read case →
MICE
Leading Event & Media Group

An events & media group launched a first-time food expo nobody had heard of. We built the demand from scratch — >20,000 tickets sold, 5X ROAS.

WhatsAppWhatsAppMetaMetaForeplayForeplay
Performance MarketingData & Analytics
Read case →
LogisticsEcommerce
Lion Parcel

A leading logistics company wanted to scale its drop-off network. We built and validated a partner-recruitment engine — $1M+ pipeline in 30 days.

WhatsAppWhatsAppEmailEmail
GTM & Growth LabData & Analytics
Read case →
HealthcareWellness
On Demand Medical Group

We grew a leading on-demand doctor and wellness brand on less ad spend — more patients, more revenue, and double the return on media.

GoogleGoogleMetaMeta
Performance MarketingFunnel & CROData & Analytics
Read case →
Tourism
Luxury Boat Tours

We rebuilt a luxury boat-tour operator's paid engine from zero — and grew the channel where the margin lives: direct revenue, up over 30% in 30 days.

MetaMetaForeplayForeplayTiktokTiktok
Performance MarketingData & AnalyticsFunnel & CRO
Read case →
Wellness
Ikigai

We built IKIGAI's paid acquisition engine from scratch — an intro offer that brings in members who came for the practice, not the discount.

MetaMeta
Performance MarketingFunnel & CROData & Analytics
Read case →
Healthcare
Premium Orthopedic Clinic

We turned an orthopedic specialist clinic’s paid setup into a lead machine: >4× more monthly leads with budget up under 25%.

MetaMetaGoogleGoogle
Performance MarketingPerformance CreativeData & Analytics
Read case →
Ecommerce
HokiOne

We scaled a 27-year distributor’s D2C ROAS from 6× to 80×+ while cutting B2B lead costs by 35%

GoogleGoogle
Funnel & CROPerformance CreativeData & Analytics
Read case →
Proof

We build market leaders for a living.

Google Ads

Leading Luxury Tour Operator

Performance MarketingData & Analytics
~19X
ROAS
+$200,000
conversion value

A leading luxury tour operator competes against OTAs, marketplaces, and local tour resellers, where every booking won through a third party comes at the cost of lower margins. We built a Google Ads system focused on the moment that matters most, capturing high intent buyers through bottom funnel search when they're done comparing and ready to book, then guiding them through a booking journey designed to convert. The result: a sustained 19×+ return on ad spend, over $1 million in revenue generated, and higher margins by reducing reliance on external booking channels.

Google Ads

Multi-Brand Online Retailer in the Home & Hardware Category

Performance MarketingData & Analytics
>19X
ROAS
>3,400
TRACKED CONVERSIONS

Sell thousands of products across multiple brands and you hit one wall fast: you can't advertise everything to everyone. This retailer was competing in a market where shelf space is infinite but attention isn't. So we built a Google Ads system around what shoppers were actually searching for, using brand level segmentation matched to how people buy and tuned for conversion, not traffic. Every dollar came back more than 19× in tracked revenue, with monthly conversions growing to over 3,400, more than 5× since launch. Paid search went from a line item cost to the store's most reliable revenue engine.

Meta Ads

Electronics E-Commerce

Performance MarketingData & AnalyticsFunnel Strategy & CRO
89.82X
ROAS
$1M+
in Tracked Purchase Conversion

One of the region's largest electrical distributors had spent decades building a trusted brand, but its online sales channel was barely contributing. Digital was running close to break even and nowhere near its potential. We rebuilt the growth engine from the ground up, combining stronger offers, full funnel creative, and a paid media system designed to scale across their product catalog. The result: in just three months, D2C transformed from a secondary sales channel into a primary revenue driver, with return on ad spend increasing from 9× to 89.82×.

Meta Ads

Hospitality Brand Operating 15 Hotels

Performance MarketingData & AnalyticsFunnel Strategy & CRO
22X
ROAS
$286,735
Conversion Value

A regional hotel group was paying OTA commissions on bookings it should have owned. We turned paid search and social into a direct-booking engine that now outperforms the OTAs they used to depend on. Two years on, we're still their growth team.

Google Ads

Leading B2B Technical & Industrial Equipment Distributor

Performance MarketingData & Analytics
1,310
QUALIFIED LEADS IN 60 DAYS
$7.73
COST PER QUALIFIED LEAD

When your buyers are procurement teams and contractors, clicks don't pay the bills but a qualified inquiries do. This distributor competes in a crowded and price-sensitive category where most "search budgets" quietly bleed out on people who were never going to buy. We built a Google Ads system around high-intent commercial search where campaign-level segmentation separates serious buyers from casual browsers before they ever hit the form. The result: 1,310 qualified leads at $7.73 each over two months which roughly was half the cost we started at, and about 3x the volume on the same budget.

Meta Ads

Premium Multi-Country Healthcare Network

Performance MarketingData & AnalyticsPerformance CreativeFunnel Strategy & CRO
>6,000
Leads Generated in 3 months
$14
Cost Per Lead

A premium healthcare network running paid acquisition across 4 markets with attribution that the CFO couldn't defend. We rebuilt tracking, server-side, and the reporting ledger — same spend, 56% lower cost per qualified lead.

In their own words

What our clients say about the work.

Real testimonials from clients we're still working with — the tracking rebuilds, attribution models, and revenue dashboards we ship.

1:48

Came to GTMLab for predictability over unreliable growth. They delivered in a quarter: revenue +27%, CPC -50%, bookings +20%. Highly recommend for anyone looking to grow and scale.

Karim
Co-Founder at Bluuu
+27%Revenue
+20%Bookings

From the first call, GTMLab brought the professionalism that other agencies never did. The whole process was spot on, and in the first month, we were already getting 3–5 qualified leads a day.

Zuzana De Groot
Founder at Palma Islands - Luxury Real Estate Developer
1:32

They built our entire marketing funnel end-to-end and owned every deliverable. Not an ad-hoc agency you pay to run a few campaigns and hope it works.

Gianni Melwani
Co-Founder & Director at Ikigai Studios
0:28

Our corporate sales team had run 7–8 years without much structure. GTMLab brought the strategy, the CRM, and a more systematic way to manage the team — and the result was game-changing.

Riki
Founder at Doré by LeTao (Omiyage Group)
“

We weren't even sure it was possible, and we wanted GTMLab to validate whether there is a way to acquire partners predictably. GTMLab didn’t just answer 'yes'—they proved it.

Kristiana Niken Tri Ristamtini
National Acquisition Manager at Lion Parcel
“

We wanted a way to grow our paid ads, and GTMLab delivered. Our website bookings went up, and over a year later, they're still the team that we trust. We couldn't be happier with how it turned out.

Director
Ashley Hotel Group