GTMLab
Performance Marketing→Stage 2 · Paid demand · Ads that reach buyers while they decide, and pay back.
Paid mediaGoogle AdsSearch campaigns built for leads, quotes and bookings, not clicks.Meta AdsFacebook and Instagram campaigns wired to your CRM and judged on revenue.Click-to-WhatsApp AdsAds that open a WhatsApp chat, so buyers talk to you in one tap.
Creative & creatorsPerformance CreativeAds built and tested every week, so the winners scale and the losers die fast.Creator-Led AdsWe find the creators, script the videos and run them as ads from their own accounts.
Challenges we solveOur ads keep getting more expensiveOur agency isn’t deliveringOur creative burns out too fastOur ads look like ads, and people scroll past
ProofBluuu>30%Direct website revenue in the first 30 daysSee the case →
AI Search & SEO→Stage 2 · Search demand · Be the answer when buyers search Google or ask AI.
AI searchAI Search Optimization (AEO & GEO)Get named when buyers ask ChatGPT, Gemini and Google’s AI answers.AI Visibility TrackingSee which prompts name you, which name competitors, week by week.AI Visibility CheckSee what five AIs tell customers in your city, in about a minute.
SearchSEORank on Google for the searches your buyers already make.Local Search & MapsFix your listings and reviews across the sources Google Maps and AI read.
Challenges we solveWe’re invisible in ChatGPT and AI answersOur Google ranking doesn’t carry into AICompetitors get named, we don’tOur listings and reviews don’t match
Proof200+Brands grown, with $20M+ in ad spend operatedSee all case studies →
Funnels & CRO→Stage 3 · Conversion · Turn the traffic you pay for into customers.
Pages & funnelsLanding Pages & FunnelsPages and funnels built around how your buyer decides, not around a template.CRO & Offer TestingTest offers, pages and flows until the conversion rate moves.
Challenges we solveWe get traffic but not leadsWe pay OTAs too much for bookingsOur offer doesn’t convert
ProofIkigai63xROASSee the case →
Data & CRM→Stage 4 · Revenue · Connect every ad to the revenue it earns.
Data, CRM & AICRM & WhatsApp SetupThe right CRM, set up around how you sell, with WhatsApp inside.Lead Quality & Sales OpsStop arguing about lead quality. Measure it, and fix how leads are handled.Attribution & Revenue DashboardEvery lead traced to revenue, even when the sale closes in WhatsApp, a booking system or a POS.AI Sales & Support AgentsCustom AI agents for WhatsApp that answer, qualify and book like your team.
Challenges we solveOur CRM is a messSales says our leads are trashWe can’t see which ads bring customersLeads wait hours for a WhatsApp reply
ProofHokiOne6× → >80×ROAS in six monthsSee the case →
About→How we work, who we are, and what we’ve done
How we workWhat performance marketing isWhy running ads alone doesn’t move revenue, and what does.What it’s like working with usOnboarding, the first tests, a week on your account, and when you see results.Reporting and the monthly reviewThe dashboards and decks you get, and how decisions are made.Who we’re forThe businesses we’re built for, and the ones we’re not.
About usAbout GTMLabWho we are, where we work, and why we’re built differently.Your team & agentsThe people and AI agents on your account, by division.CareersJoin a senior team running growth for APAC brands.
ResourcesCase studiesHow we grew revenue for hotels, clinics, developers and B2B teams.TestimonialsClients on camera, in their own words.PlaybooksSoonTeardowns of how leading brands market and sell.BlogIdeas, experiments and results from our operators.
About GTMLab

100+ senior operators. Ex-founders, YC alumni and a Forbes 30 Under 30.

Meet the team →
Pricing
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

Ads, AI search, landing pages and CRM, run as one engine. Every lead traced to the revenue it closes.

Available for Q4
Jakarta · Hong Kong · New York

Performance Marketing

  • Google Ads
  • Meta Ads
  • Click-to-WhatsApp Ads
  • Performance Creative
  • Creator-Led Ads

AI Search & SEO

  • AI Search Optimization
  • AI Visibility Tracking
  • AI Visibility Check
  • SEO
  • Local Search & Maps

Funnels & CRO

  • Landing Pages & Funnels
  • CRO & Offer Testing

Data & CRM

  • CRM & WhatsApp Setup
  • Lead Quality & Sales Ops
  • Attribution & Revenue Dashboard
  • AI Sales & Support Agents

Our Work

  • Case Studies
  • Clients
  • Proof
  • Testimonials
  • Creatives

Industries

  • Healthcare
  • Wellness
  • Ecommerce
  • Hospitality
  • Tourism
  • Tech Startups
  • Bali Property
  • Events & Conferences

Resources

  • Blog
  • GTM Mapping
  • Growth Decode
  • Growth Workshops

Company

  • About
  • How we work
  • Pricing
  • Careers
  • Contact
© 2026 GTMLAB.AI · 200+ brands · $20M+ ad spend operated
Treelogy · D2C Moringa WellnessPerformance CreativeProven angles · At scale
Case Studies→Treelogy

How New Creatives Beat a Saturated Account's Average ROAS by 1.7× and CTR by 2.5×

>100New creatives and iterations shipped in three months, so the algorithm always had something fresh to scale into.
>1XThe best creative returned >1X the account's average ROAS.
2XClick-through on the winning creatives ran 2X the account averageand we can replicate it, ad after ad.
“
Their customers were loyal. The problem showed up the moment we scaled spend: a handful of ads can't carry a bigger budget, and returns fall. We built a system that remembers what wins and feeds it back at volume, so scaling stopped costing efficiency.
JeremyHead of Growth, GTMLab
Brand
Treelogy · moringa supplements
Lens
Performance Creative
Market
South East Asia · Meta
Approach
Proven angles · At scale
BrandTreelogy — D2C moringa wellness, across oil, powder and capsules
LensPerformance Creative
MarketSouth East Asia · Meta-led · joint-pain & older-wellness buyer skews strongest
The jobRemember what wins · feed proven angles · scale acquisition
ApproachProven angles · format diversity · ROAS, not CTR
Use cases
Creative Engine Scale
Services
Performance Creative
Channels
Meta Ads
Let’s talk growth →

Treelogy is a D2C moringa wellness brand — oil, powder and capsules, sold across South East Asia, with its strongest pull among an older, joint-pain wellness buyer. The repeat side of the business was healthy: people who tried it kept reordering. The hard part was new customers — and it got harder the moment spend scaled.

The reason wasn't the product or the audience. It was the creative. The account ran a narrow set of ad styles on loop, so as budget went up it hammered the same people with the same few ads — frequency climbed, costs rose, and new-customer acquisition stalled. We also found the brand was selling oil, powder and capsules to “everyone” with one generic pitch, when each line speaks to a different buyer and a different pain. This page is the rebuild: how we segmented the ICP by product line, then turned a pile of one-off ads into a creative system that remembers what wins and feeds proven angles back at volume, so acquisition scales instead of saturating.

Meet Treelogy.

Treelogy sells moringa-based wellness across South East Asia — oil, powder and capsules — with its strongest pull among an older, joint-pain-led buyer. The repeat business was healthy. The growth job was new customers, and it got harder every time spend scaled, because a narrow set of recycled ads gave the algorithm nowhere fresh to go.

They had the answers. The account just kept forgetting them.

The strange part is that the winners weren't hidden — the data had already pointed to the formats and angles that worked, some of them dramatically. What was missing was anything to make that knowledge stick. Proven creative wasn't feeding the next round, diversity was thin, and the best performers were often cut before they could scale. So the learning never compounded — the account paid to discover the same thing twice. Three traps kept the proof from ever compounding.

  1. No creative memory. Proven angles never fed the next brief. Production restarted from zero each cycle, so the account kept re-learning what it already knew.
  2. A format monoculture. One dominant style ran almost everything, even though statics out-converted video several times over. The algorithm was starved of creative diversity — so as spend scaled, it had nowhere fresh to go and saturated the same audiences.
  3. Winners killed too early. The best creatives — a joint-pain static, the “5 Reasons” list — were pulled or under-tested before they ever got the budget to scale. The account cut its own winners.
“
You can't scale new-customer acquisition on a handful of ads. Pour spend into a monoculture and you don't reach more people — you just wear out the same ones.
The reframe behind the rebuild

Acquisition at scale is a creative-diversity problem before it's a budget problem. A narrow set of ads gives the algorithm almost no room to find new pockets of audience, so every extra dollar lands on people who've already seen the ad — frequency rises, cost rises, returns fall. The fix isn't more spend or one more hero ad. It's a steady supply of diverse, proven-angle creative, so the algorithm always has a fresh door to knock on.

The principles we rebuilt the creative on.

  1. Build a creative memory. Every proven angle becomes a reusable starting point, not a one-off. The next brief begins from what already won — so the learning compounds instead of resetting.
  2. Judge creative on ROAS, not CTR. A quieter static that returns more beats a flashier video that returns less. We scored creative on what it sold, not how many clicks it earned — and the winners changed.
  3. Feed the algorithm diversity. Multiple proven angles and formats in market at once — problem/solution, joint-pain, “5 Reasons,” comment-style, notes — so scaling spend opens new audiences instead of exhausting one.
  4. Give winners room to prove out. A creative returning strongly on a small budget gets funded, not cut. We stopped killing winners before they could carry the account.
  5. Match the avatar to the product line. Oil, powder and capsules don't sell to the same person. We segmented the ICP per product — joint-pain, fatigue, immunity, menopause — so each line meets its own buyer with its own angle, not one generic moringa pitch.

Then we expanded who the buyer could be.

Segmenting the existing buyer was the first job. The bigger one was reaching people the brand had never spoken to. Moringa skews older and joint-pain-led — but the category isn't limited to them, and a business that only ever sells to its current avatar caps its own growth. So we deliberately tested formats built for audiences outside the core demographic. On the oil, UGC built to feel native to a younger feed, pulling buyers well outside the older core. A viral AI-video format engineered for scroll-native reach a static-only account could never earn. Trending video built on cultural moments to land with people who scroll past polished supplement ads. A first full animated performance creative that broadens appeal past the category's usual before-and-after look. Street vox-pop UGC that feels like content, not an ad. And creator collaborations that borrow a creator's ready-made audience the brand had no other way in to. These are expansion bets, read on early signal — reaching a new audience takes more cycles to prove than refreshing a known winner. The point is widening who the brand can profitably reach, not replacing the core that already works.

Before — a narrow set on loop.

The old account leaned on a handful of styles, judged them on the wrong metric, and forgot its own winners. The kind of creative the rebuild replaced.

StaticBefore
Comment-screenshot social proof

Comment-screenshot social proof

Menopausal woman, joint stiffness + hot flashes / night sweats

The proof is real but it's a buried low-engagement comment, presented with no offer or next step to act on.

StaticBefore
Testimonial static, product in hand

Testimonial static, product in hand

Perimenopausal woman, irritability with family

The relationship story is the right instinct, but it stops before the sale with no offer and no next step.

StaticBefore
Testimonial static + benefit list

Testimonial static + benefit list

Menopausal woman, weight gain despite effort

It runs a pain hook and a credentials list at the same time, so nothing anchors the eye and there's still no ask.

After — proven angles, fed at volume.

A diverse set of data-proven creatives, each ported and refreshed off what already won.

StaticAfter
Nutrient-comparison static

Nutrient-comparison static

Health-conscious supplement buyer

Turns the whole product into one scannable claim, with the hero shot and "no synthetic / no fillers" badges doing the trust work at a glance.

StaticAfter
How To Dosage

How To Dosage

Menopausal woman, first-time / cautious starter

Answers the unspoken "how do I actually take this" before purchase, which removes the friction that kills first orders for an unfamiliar supplement.

StaticAfter
Product-led benefit static

Product-led benefit static

Menopausal woman

Pairs a relatable older-woman avatar with a clear nutrient stack, so the buyer sees herself and the proof at once.

ReelAfter

Trend Based - Before-to-after Transformation AI Video

Menopausal woman, daily fatigue and joint stiffness

Shows the shift from worn-down to moving-easily without a word of claim, so the buyer reads the benefit as lived rather than told.

ReelAfter

Trend Based - 3D-animated AI Video

Joint-pain sufferer - educational

Turns an invisible internal benefit into a character-driven story the eye can follow, so a how-it-works claim lands as engaging instead of clinical.

ReelAfter

Trend Based - Product Demo AI Video

Built off a winner

A fresh hook on a proven angle — the next test, started from what already worked.

Getting a winner isn't the finish line, acts as the starting point. It's the first iteration of many, each one built off the last, so learnings and results compound.

Every brief starts from the account's proven angles, then varies the levers that move a supplement buyer. On angle, we test problem/solution, joint-pain, “5 Reasons,” testimonial, product-led, comment-style and notes/discovery. On format, static, VSL/video, UGC, animation and hook variants. On product line, oil, powder and capsules. On audience and pain, the joint-pain avatar, fatigue, immunity, menopause, and cold versus warm.

The same winner, now in creator hands — three iteration UGC

ReelAfter - Iteration

UGC - Voiceover - Single-ingredient Routine

Younger skincare buyer, outside the older joint-pain core

Carries the oil's single-ingredient story in a creator's own voice, native to a younger feed, and shows skin and hair use in one pass so the dual-use payoff lands without a hard sell.

ReelAfter - Iteration

UGC - Textover - Silent Night-routine

Younger skincare buyer, mood and aesthetic led

Opens on a visual pattern-interrupt instead of a claim, then rests the whole spot on one idea, so it stops the scroll where a polished, copy-heavy ad gets skipped.

ReelAfter - Iteration

UGC - Talking Head - Dry and Sensitive Skin

Dry, sensitive skin buyer, first-person convinced

Runs the oil through the account's proven problem-to-proof arc and names the skin type out loud, so the right buyer recognises herself and the four-week result reads as evidence, not a claim.

All three are UGC, run as iterations off one proven angle, the single-ingredient oil. UGC is the format the static-led account never tested at volume, so the job here is to find out which creator treatment actually moves the newer, younger buyer, not to ship one cut and hope. Same product, same core claim, three variables under test: the hook (audio open, visual pattern-interrupt, testimonial), the funnel job (educate, create curiosity, convince), and how tightly the pain is named (broad skin-and-hair, pure mood, dry-and-sensitive specific).

This is the rebuild's own method applied to a new format. The test is the strategy: each cut is an experiment, read on its own signal, and the ones that return get refreshed and fed back while the ones that don't get cut. UGC takes more cycles to prove than refreshing a known static winner, and the softer-CTA cuts lean warm by design, so these are read on early signal, not final ROAS. The point is to build a UGC memory the same way the account built its static one, so creator-led acquisition compounds instead of restarting every brief.

Every creative earned its place — or got cut.

The test is the strategy. We ran creatives as experiments and let the data decide which scaled, which evolved, and which died — because knowing what to stop is half the system.

ExperimentVerdictWhat the data said
“5 Reasons” list staticWinnerBest performing · 1.7× the average ROASThe highest-returning creative on the whole account — and it had barely been tested. Now a full series, built around how a supplement buyer actually decides.
Problem/Solution staticScaledBest volume on the accountThe proven #1 angle. The unlock was iterating the copy, not reinventing the visual — so we kept refreshing the line, not the layout.
Joint-pain staticEvolved2.90× on a small budgetProven on Powder, then ported across to Capsules — the core-avatar angle re-funded after being cut too early.
AI-testimonial creativeKilledHigh clicks, weak returnEarned attention but didn't convert — the leak was the post-click, not the ad. Paused until the landing page and offer were fixed, rather than scaled on a vanity metric.

Pausing the AI-testimonial mattered as much as scaling the “5 Reasons” static. A high click-through rate on a creative that doesn't sell is a trap — chasing it would have poured spend into clicks, not customers.

What changed — business as usual vs the engine.

The jobBusiness as usualWhat we built instead
What we testFeature announcements and a narrow set of styles, repeatedProven angles, varied and refreshed — problem/solution, joint-pain, “5 Reasons,” comment, notes
How we judge itClick-through rate across formats — flashy video looked like a winnerROAS by format and angle — a quieter static that returns more beats a louder video that returns less
What we rememberRestart from zero each cycle; winners forgottenA creative memory — every proven angle feeds the next brief, so learning compounds
Why it scalesMore spend hammered the same audience with the same adsDiverse proven creative opens new audiences — so acquisition scales instead of saturating

Results — the creative engine.

Six numbers that show the proof finally being acted on. ROAS is shown as a multiple; everything else is relative.

>100Creatives tested in three months, iterations included
>1XBest creative's ROAS vs the account average
>2XClick-through on the winning creatives vs the account average
~5.8×More purchases from statics than video
12+Product-line × pain-point segments tested across oil, powder and capsules
ROAS-ledCreative judged on return, not clicks

Honest read: there's headroom we're still chasing. UGC video and the wider-audience formats are newer bets, read on early signal rather than final ROAS — reaching a new audience takes more cycles to prove. The AI-testimonial post-click flow needs fixing before that angle scales, and several proven winners were cut too early and are being re-funded with proper budget. Numbers reflect the verified creative pull; we re-check against live data before anything scales.

What the rebuild taught us about creative at scale.

  1. A winner you can't remember isn't an asset. — Proven angles only compound if they feed the next brief. Without a creative memory, the account keeps paying to re-learn what it already knew.
  2. Judge creative on ROAS, not clicks. — A quieter static that returns more beats a flashier video that returns less. Measure what it sells, and the winners you scale change entirely.
  3. Diversity is how acquisition scales. — A format monoculture saturates one audience as spend climbs. Diverse, proven creative gives the algorithm new doors to knock on.
  4. Don't kill a winner on a small budget. — A creative returning strongly on little spend is a signal to fund, not cut. Give the proof room before pulling it.

Treelogy went from forgetting its own winners to a creative engine that remembers and scales them — proven angles fed at volume, so new customers come without the costs running away.

The account already knew what worked; now it acts on it — statics over guesswork, ROAS over clicks, and diverse proven creative that opens new audiences instead of exhausting one. The next job is the headroom: the wider-audience formats and the post-click fix that lets the testimonial angle run.

Book a strategy call →
Who built the creative

A creative-led pod.

A creative director on angles and the proven-angle library, a motion and static designer running the production line, and a growth lead reading the data to decide what scales and what gets cut.

Kevin
Growth Director

On Treelogy: Built the proven-angle library and the creative memory — problem/solution, joint-pain, “5 Reasons” — so every brief starts from what already won. This lens is their build.

Dikmas
Art Director

On Treelogy: Ran the production line behind the diversity — the static-first builds and the comment, notes and list variants ported across oil, powder and capsules.

Jeremy
Head of Growth

On Treelogy: Held the ROAS-not-CTR scoring and the decision on what to scale, evolve or kill — and the diversity plan that keeps acquisition scaling instead of saturating.

More wins, with the numbers behind them.

See every case →

Bluuu

Luxury Yacht Operator

30%+ Direct Revenue in 30 Days: How a Global, Award-Winning Luxury Yacht Operator Cut OTA Dependence

>30%Direct website revenue in the first 30 days
27%Year Over Year (vs. +6.7% prior year)

Palma Islands

Real Estate Developer

From Referral-Only Sales to 3–5 Qualified Leads Per Day

−70%Cost per qualified lead
3–5Qualified leads per day

Ashley Group

Hospitality

40×+ ROAS Sustained Over a Year: How a Luxury Hotel Chain Built Direct Bookings and Reduced OTA Dependency

>40× ROASSustained beyond 12 months
4×More direct-booking revenue

Let’s engineer your lead generation engine.

More qualified leads, lower CAC, and a clear view of which ads bring in revenue.

Ways to work with us
Monthly plansOne-off buildsGrowth partnership

How we start

  1. 1Discovery callWe learn how you sell, where leads go cold and what could work better.
  2. 2Read-only auditIf we’re a fit, we get read-only access to your ads, analytics and CRM, and diagnose what’s really going wrong.
  3. 3Your proposalWe walk you through the diagnosis and the engine we’d build to fix it.

For lead generation businesses already running paid ads. Replies within 24 hours.

Explore a partnership
Selected clients
LazadaCinepolisIHH HealthcareGleneaglesMount ElizabethSiloamELSA SpeakCekatAIAshley GroupBluuuCentral WellnessDoré by LeTaoGoDrinksIkigaiMediflyPalma Islands