Fortunatos

5x+ ROAS made repeatable. €10,000+/mo powered by clean tracking.

We implement proper tracking (GTM / CAPI / GA4), fix signal loss, and let Meta & Google optimise on revenue — so scaling becomes predictable.

€1.2M+

Monthly client revenue

4.25

Average ROAS

13.45

Max ROAS

Book a consultation
ROASPurchasesEvent Match Quality

Struggling to scale? The issue is data quality, not your product.

When Google & Meta can’t see clean purchase signals, they optimise on incomplete events. Spend shifts to clicks instead of conversions — ROAS drops and growth stalls.

Up to 50% of purchase events untracked — platforms under-attribute revenue.

Up to 30% of users unmapped (low Event Match Quality) → models train on partial data.

Event misfires / mislabeled events (ATC / IC / Purchase) → optimisation degrades.

20–25% recurring budget leakage from noisy signals and click-based optimisation.

Business impact

  • • Cabinet shows a low CPA — because Meta trains on clicks and "fake" events, not real sales. Your actual cost per customer in the CRM is 20–40% higher.
  • • ROAS down 2–3× within weeks.
  • • Faster fatigue: campaigns lose efficiency quickly.
  • • Advantage+ / PMax instability caused by dirty data.
  • • Scale capped: more spend, same outcome.

Bad tracking breaks your catalogue — the algorithm shows the wrong products

When Meta can't see what people actually buy, it optimises on the wrong signals. Irrelevant products drain the budget while your best sellers land in the "white zone" and never get shown.

What Meta sees in your catalogue

Running Shoes

not in product feed

Slim Fit Jeans

item_id not found

Gift Set

event not triggered

Wool Coat

excluded from catalogue

!

Leather Bag

value = 0

!

Plush Bear

item_id ≠ feed

!

Princess Set

duplicate Purchase events

Air Max 90

full data ✓

~50% — not transmitted at all~30% — errors or no value~20% — correct data
Before:ROAS 2.85 | ~200 purchases/mo
after tracking restoration ↓

After setup

90%+ — full data with value
7% — validation
3% — remaining

ROAS 7.2 | 800+ purchases/mo

×4

From a real project — eCommerce store running Meta Ads at $5,000/mo.

From data chaos to steady scale — step by step

We don't promise "miracles in 3 days." Our job is to fix the foundation, set up proper data collection, and optimise the accounts. Campaigns stay live, but in week one we make only minimal changes until signals are clean. Within the first 30 days you'll see measurable uplift.

  • 1Day 1–2
    🔍

    Audit

    • Identify weak spots in tracking and ad accounts
    • Clear report showing how much budget is lost to dirty data
  • 2Day 3–5
    🧩

    GTM / Data Layer

    • Build a transparent event structure aligned to business metrics
    • Document everything so you aren't dependent on developers later
  • 3Day 6–7
    🖥️

    CAPI / GA4

    • Server-side tracking (sGTM, CAPI, GA4), EU-hosted, GDPR-friendly
    • Restore accurate purchase & revenue signals (90%+ signal quality)
  • 4Day 8–10
    ✅

    Validation

    • Verify event firing in Ads Manager and GA4
    • Test every key flow: cart, checkout, payment
  • 5Day 10–17
    🚀

    Campaign relaunch

    • Campaigns run immediately; first week = minimal changes only
    • After signal clean-up expect lower CPA and higher ROAS
  • 6Day 17–47
    📊

    30-day monitoring

    • Weekly checks and signal adjustments
    • Stable scaling without budget leaks
Request a tracking audit

Full journey: ~47 days

€25k/mo on Meta: value restored → scaling unlocked

Before: duplicated events, no value, unstable optimisation. After our GTM Data Layer + CAPI setup, signals turned clean and campaigns became auditable — enabling confident, transparent scaling.

  1. Meta AdsAd budget: €25,000/moROAS: 2.85

    Stage 1 — Initial pain

    The brand spent €25k/month on Meta, but the platform couldn’t see purchase value: events were duplicated, the value parameter wasn’t passed, and optimisation was running blind.

    What it meant for the business: no reliable ROI, no way to separate profitable SKUs from loss-makers, scaling stalled; campaigns felt like a lottery.

    Before optimisation: Meta received duplicated purchase events without value.
    Before optimisation: Meta Ads received duplicate events without value. The algorithm had no real data for optimisation and worked “blind.”
  2. GTMData Layer

    Stage 2 — Fixed tracking (GTM + Data Layer)

    We added the full eCommerce event set (PageView, ViewContent, AddToCart, BeginCheckout, AddPaymentInfo, Purchase), standardised id / name / price / category, enabled consent-aware first-party signals (email/phone hashed via CAPI), and removed duplicates.

    What it meant for the business: Meta could finally see what was bought and for how much; analytics became transparent and profitable SKUs were obvious.

    Purchase events now include value, currency, and product parameters.
    After GTM + DataLayer the Purchase events became complete: value, currency, content_id, category, name, user-data. Meta finally received a transparent view of transactions and could optimise on real revenue.
    Unified DataLayer with rich product parameters.
    Each event now flows through a unified DataLayer with IDs, product attributes, price, currency, and consent-aware user signals. This removed “noisy” data and gave full control over tracking quality.
  3. Match Rate >99%dPA-ready

    Stage 3 — Catalog ready for dPA

    After the tracking overhaul, the Catalog Match Rate jumped from 0% to 99%+. This unlocked Advantage+ Shopping and true dynamic product ads.

    What it meant for the business: ads now “follow” users with the exact products they viewed or added to cart; sales became more intent-driven, CPA dropped, and ROAS started to grow.

    Catalog Match Rate improved from 0% to 99%+.
    With tracking fixed, Catalog Match Rate climbed to 99%+. Site events now match catalog IDs, unlocking Advantage+ Shopping and dynamic remarketing.
  4. Conversions APIEMQ 9.2/10

    Stage 4 — Server-side: stable signals

    Two months in, we implemented the Conversions API. Event Match Quality for Purchase rose to 9.2/10, and Meta started logging +14% more conversions.

    What it meant for the business: purchases previously lost to iOS privacy or ad blockers are now captured; Meta’s algorithms optimise more accurately than competitors.

    Event Match Quality for Purchase increased to 9.2/10.
    After enabling Conversions API, Event Match Quality reached 9.2/10. Meta started capturing 14% more purchases that were previously lost.
  5. ROAS 7+ steadyPeak 10+

    Stage 5 — Result

    Within three months ROAS climbed from 3 to a steady 7+ (with 10+ peaks), purchases quadrupled (≈200 → 800+), CPA fell, and the €25k budget started working 2–3× harder.

    What it meant for the business: confident scaling without fear of wasted spend — the brand now outpaces competitors.

    Purchases quadrupled while ROAS held at 7+.
    Purchases grew 4× (≈200 → 800+). CPA dropped, ROAS holds at 7+, and the €25k budget now delivers 2–3× more revenue.

Let's talk about your project

Avg response ≈ 2h

Fill out the form — we’ll review your accounts, show where data is lost, and propose the next steps for profitable growth.

Privacy guaranteed. GDPR-compliant. Your data is protected and never shared with third parties.

What our clients say

Real results after implementing tracking and signal optimisation.

  • Oleksandr K.
    Oleksandr K.
    CEO, fashion eCom
    verified
    “We brought transparency back to the 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.
    Maryna P.
    CMO, kids’ products
    verified
    “We finally see the real value of each purchase. CPA dropped by 32%, and the team explained the technical details in plain language. It really boosted our confidence.”
  • Volodymyr L.
    Volodymyr L.
    Co-Founder, home & living
    verified
    “The pixel started “seeing” every key event — from clicks to revenue. ROAS grew from 2 to 4 in the first month. For the first time, ads feel like an investment, not a lottery.”

FAQ — answers to key questions

Here’s how we work and what to expect. Still unsure? Reach out on Telegram and we’ll clarify everything.

What’s included in the monthly partnership?

End-to-end growth: strategy, Meta & Google Ads setup/management, creative testing, analytics, and full tracking implementation (GTM/Data Layer, CAPI, GA4). All in-house.

Is tracking included or billed separately?

Included. We implement server-side tracking (sGTM/CAPI/GA4) as part of the retainer — no technical upsells.

How soon will we see impact?

First improvements appear within 7–14 days after signal clean-up. The full effect usually lands within the first month.

Are you GDPR-compliant?

Yes. EU-hosted sGTM, Consent Mode v2, hashed identifiers, DPA on request. We only collect what’s consented and necessary.

Who do you work with?

We support NL/EU eCommerce brands of any type — DTC and B2B.

How does onboarding work?

Response in ≈2h → 15-min intro → quick audit → tailored plan → launch within 3 days (campaigns stay live; minimal changes during week one).

Do you offer guarantees?

We don’t promise “X in Y days.” We engineer clean data and optimisation you can verify — then scale against agreed KPIs.