TECHNICAL SIDE
Algorithm blind spot
Up to 50% of Purchase events are lost
Up to 30% of customers are not identified.
AddToCart / Purchase get mixed up.
ROAS 5×+ on client projects. Stable $10,000+ monthly thanks to clean data
ROAS 5×+
on client projects. Stable
$10,000+
monthly thanks to clean data
Scaling is built on data, not creatives. We set up tracking (GTM/CAPI/GA4), clean noisy signals, and return full control over optimization.
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Clients' monthly revenue
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Average client ROAS
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Maximum ROAS
Ads do not scale? The issue is data, not your product
Google and Meta often miss real purchases and optimize on incorrect events. As a result, budget is spent on clicks instead of sales, ROAS drops, and scaling stalls.
DIRTY DATA
Incomplete identification (30%)
Up to 30% of customers are not identified, so platforms optimize on fragmented signals.
BUDGET LOSS
Wrong events
When event signals are mixed, Google and Meta optimize for cheap actions instead of real sales.
Dirty tracking breaks catalog performance and the algorithm pushes wrong products
When Meta can't see what exactly is being purchased, it optimizes on wrong signals. Irrelevant products consume budget, while top products end up in a blind zone and may not be shown at all.
WHAT META SEES IN YOUR CATALOG
- product is unreadable for algorithm
- signal sent with error
- event is valid and optimized
BEFORE:ROAS 2.86 | ~200 PURCHASES/MONTH
after tracking recovery ⤓after tracking recovery ⤓
- 90% complete data
- 7% validation
- 3% remaining
AFTER SETUP
ROAS 0.0
0+ purchases/month
X4 PROFITROAS 0.0
0+ purchases/month
X4 PROFITFrom data chaos to stable scaling, step by step
We don't promise miracles in three days. Our goal is to fix the foundation, build reliable data collection, and optimize accounts systematically. Ads launch immediately, but during the first week we make only minimal changes until signals are clean. In the first 30 days, you should already see measurable growth.
DAY 1-2
Tracking foundation audit
- • We check Pixel, GTM, and core event structure.
- • We identify critical signal collection errors.
- • We prepare a prioritized fix list.
DAY 3-6
GTM and event logic setup
- • We unify naming and parameters of key events.
- • We align value, currency, and content data transfer.
- • We prepare a stable base for accurate optimization.
DAY 7-10
CAPI connection and stabilization
- • We set up server-side event delivery.
- • We implement Pixel + CAPI deduplication.
- • We reduce data loss from browser restrictions.
DAY 11-14
Data quality validation
- • We validate signals in Events Manager.
- • We test key user journey scenarios.
- • We confirm readiness for active scaling.
DAY 15-16
Campaign relaunch
- • We update campaign structure for clean signals.
- • We shift budget toward priority combinations.
- • We launch a controlled relaunch with low risk.
DAY 17-47
Monitoring and scaling
- • We track key metric stability daily.
- • We scale what is profitable, gradually.
- • We lock in long-term quality control.
GET A TRACKING AUDIT
Full path: ~47 days
$5k/month in Meta: from missing value to transparent scaling
The client spent $5k monthly in Meta, but the system could not see purchase value. Events were duplicated, value was missing, and optimization was blind. We restored tracking, implemented DataLayer (via GTM), and connected Conversions API. Campaigns became transparent and manageable, enabling predictable scaling instead of guesswork.
01 / 05Етап 1
Meta AdsAd budget: $5,000/monthROAS: 2.85
Point A: the pain
The client spent $5k/month in Meta, but the platform couldn't see purchase value: events duplicated, value was not sent, and optimization worked blindly.
For the business, this meant:
it was impossible to calculate ROI correctly, separate profitable products from unprofitable ones, and scale safely; ads felt like a lottery.
01 / 05
Meta AdsAd budget: $5,000/monthROAS: 2.85
Point A: the pain
The client spent $5k/month in Meta, but the platform couldn't see purchase value: events duplicated, value was not sent, and optimization worked blindly.
For the business, this meant:
it was impossible to calculate ROI correctly, separate profitable products from unprofitable ones, and scale safely; ads felt like a lottery.
Let's
discuss
your project
After the case above, you've already seen the path from unstable tracking to predictable ROAS. Share your details and we'll assess weak points in your data, show growth potential, and suggest practical next steps for your business.
Response time ~2 hoursWhat our clients say
Real outcomes after implementing tracking and optimizing signals.
Oleksandr K.
CEO, fashion eCom
“We brought transparency back to numbers. In 6 weeks, ROAS grew from 2.8 to 6.4. For the first time, I feel we can scale without chaos.”
★★★★★
Maryna P.
CMO, kids goods
“Finally we see the real value of every purchase. CPA dropped by 32%, and the team explained technical details in plain language. It gave us confidence.”
★★★★★
Volodymyr L.
Co-Founder, home&living
“The pixel started seeing all key events, from clicks to revenue. ROAS grew from 2 to 4 in the first month. Ads now feel like an investment, not a lottery.”
★★★★★
FAQ
answers to the key questions— answers to the key questions
So it's immediately clear how we work and what to expect. If you still have doubts, message us on Telegram.