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Not just clicks. Actual closing.

We help growing businesses build performance marketing that’s accountable all the way to revenue, not just traffic metrics.

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Performance Marketing Meta Ads · Google Ads Lead Quality Optimization CRM & Attribution

What we offer

From a single strategy session to a full end-to-end marketing partnership. We meet you where you are.

01
Consultation
One focused session to diagnose your biggest marketing problem and map a clear path forward.
  • Audit of current campaigns or strategy
  • Root cause identification
  • Prioritized action plan
  • You leave with clarity, not just slides
02
Auditing & framework optimization
Deep-dive into your existing setup, from tracking and attribution to campaign structure, then rebuild the foundation properly.
  • Conversion tracking audit & fix
  • Campaign structure & budget allocation review
  • Keyword / audience intent analysis
  • Attribution framework & CRM integration
03
Hands-on optimization
End-to-end performance marketing partnership. We run the campaigns, track results, and optimize continuously.
  • Full campaign management (Meta + Google)
  • Creative strategy & brief direction
  • Weekly reporting & budget pacing
  • Ongoing optimization based on real funnel data
Case study 01
Luxury asset lending
OJK-licensed
Meta Ads + Google SEM

We tracked every loan back to the exact ad that built it.

An OJK-licensed luxury asset lender dealing in watches, designer bags, and premium vehicles. High-ticket, high-intent audience. Before we stepped in, there was no way to know if the ads were generating real borrowers or just chat volume. We built the tracking infrastructure, fixed the lead quality, and made every rupiah of ad spend accountable.

2×
Paid channel lead quality improvement in 60 days
100%
Of tracked loans came from Meta ads we built
−37%
SEM cost/conversion in the first 11 days
Full funnel, tracked after attribution was live
Ad click
paid Meta
→
WA chat
16% qualified
→
Qualified
9% borrowed
→
Loan closed
avg. >Rp 40M/loan
What we did
Built creative from audience psychology
Mapped the pain point, blockers, and motivation of a luxury asset owner who needs liquidity without selling. That insight became the top-performing creative concept in the account.
Diagnosed a +46% CPL spike in one audit
Not audience decay. One creative quietly stopped delivering across 3 ad sets, driving CPM from Rp 57–61K to Rp 80–150K. Found in hours, not weeks.
Triaged Google Search in 11 days
63% of spend was flowing to “sell [item]” keywords, attracting sellers, not borrowers. Paused them. Cost/conversion dropped 37% with CPC unchanged.
Closed the loop to actual loans
Built CRM tracking from ad click to pawn transaction. 91–92% platform-to-CRM match rate. First time the client could answer: “which ad actually makes money?”
Signal that emerged after tracking went live: One borrower returned within 3 days for a second loan, both traced back to the same creative. The first repeat-borrower signal ever detected from paid ads, and it only became visible because of the attribution layer we built.
Case study 02
B2B corporate event organizer
MICE
Google Ads SEM + Meta Ads

We changed what “conversion” meant. Budget got 38% more efficient overnight.

A B2B corporate event organizer specializing in MICE, based in Bali with national corporate clients. Google Ads had been running for years, optimizing on click-to-WhatsApp, which included vendors, suppliers, and anyone who clicked. Smart Bidding had been trained on the wrong signal the whole time. We audited, redefined, and rebuilt.

−47%
Cost per qualified lead in 3 months
+29%
Conversion rate (Jul to Sep)
−38%
Budget, same pipeline output, less spend
What counted as a conversion, before and after
Before
Ad click
→
Click to WhatsApp
→
Counted
Vendors, suppliers, and anyone who clicked. Smart Bidding trained on this signal.
After
Ad click
→
Click to WhatsApp
→
Sales qualification
→
Counted
Only leads that passed the sales team. Volume dropped first, then recovered properly.
What we did
Redefined conversion from scratch
Only leads that passed sales team qualification counted. Volume dropped first, then recovered properly. We told the client this upfront, and it played out exactly as predicted.
Restructured campaigns by segment
Separated JaTaBek, Bali, and Outbound. Budget reallocated by data. Bali had 28% CTR but sub-2% CVR, so we recommended content/SEO over paid scaling. Knowing where not to spend is half the job.
Built an automation layer
Google Ads Scripts for budget pacing plus a Sheets reporting pipeline (MoM/WoW tabs, no manual work). The client could track their own performance any time.
Audited 30+ competitors in the MICE space
Indonesia, APAC, Cvent. Identified 7 enquiry flow archetypes. Delivered a 9-page framework covering not just traffic, but how to improve the intake process itself.
The uncomfortable truth we surfaced: High CTR does not mean good leads. The segment with 28% CTR had less than 2% CVR. The problem was intent mismatch, not creative. Without the audit, budget would have kept flowing there indefinitely.
Case study 03
Gaming top-up
B2C
TikTok + Google SEM + Meta

Cold start to Rp 1 billion GMV per day in one quarter.

GOGOGO.ID, a sub-brand of Flip, entered a crowded gaming top-up market against incumbents with established user bases and data. No ad history, no tracking, no data. We built everything from zero: user research, channel strategy, tracking infrastructure, content briefs, and multi-channel execution.

Rp 1B
GMV per day, reached in one quarter from a cold start
+19,000%
Gross Margin Value growth in the first 8 months
−40%
Cost per First Purchase in 3 months
Channel sequence, intentional not simultaneous
TikTok
Acquisition
content-native, price angle
→
Google SEM
Intent pull
capture active demand
→
Meta
Support
retargeting & reach
→
First purchase
−40% CFP
in 3 months
How we built it
Started from the user, not the product
Free Fire players are extremely price-sensitive. A one-rupiah difference matters. GOGOGO.ID’s edge: cheap, reliable, and cheaper still when paying with Flip. That became the creative angle for every channel.
Sequenced channels by audience behavior
TikTok first because Free Fire players live there and content-native ads outperform banner formats for this audience. Then Google SEM to capture intent from users already searching for top-up options. Meta as retargeting support.
Built tracking from zero
Set up full-funnel data visibility using Google Tag Manager and Google Analytics. Without this, there is no way to evaluate CPF, optimize bids, or defend budget decisions. Infrastructure first, scaling second.
Initiated TikTok One as the creative production framework
Scalable UGC-style content at lower production cost with higher ad variation. Allowed rapid creative iteration without bottlenecking on production bandwidth.
The counterintuitive call: TikTok before Google, not the standard playbook for a transactional product. But Free Fire’s core audience does not start with a search query. They discover deals on TikTok first, then search when they are ready to buy. Matching the channel to the decision journey, not the product category, made the difference.

Ready to build marketing accountable to revenue?

Start with a diagnostic. We audit first, then talk strategy.

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