You're scaling on numbers that might be lying to you.
Fiori Analytics audits, repairs and future-proofs the conversion tracking behind your paid media. We find exactly what Meta, Google and GA4 are missing, duplicating or reporting wrong — then we fix it — so every dollar you scale is backed by purchase data you can trust.
Request it in under a minute. If your data's clean, we'll tell you that too.
You know the feeling. The data never quite reconciles.
You're spending more on ads every month, and every month the reports tell a slightly different story. Meta says the campaigns are crushing it — but when you check what actually landed in the bank, the math doesn't hold.
So you open Shopify, then GA4, then the Meta Ads dashboard, and each one hands you a different sales number. You're the one who's supposed to know which is right. And you don't.
Then there's the morning your purchases just… thinned out. A platform update, a checkout change, and suddenly there's a hole in the data nobody warned you about. Meanwhile the algorithm keeps optimizing on whatever it's being fed — clean or not.
So you sit on the budget. You want to grow, but you're not about to pour more money into a machine that might be reading the wrong signal.
That hesitation isn't you being overly cautious. It's the only sane response to numbers you can't trust.
Sound Familiar?
If you've caught yourself saying any of these, you're in the right place.
“Meta says I sold a lot, but my bank doesn't show that money.”
“Every platform gives me a different number. Which one do I believe?”
“After the Apple update, my data went into a black hole.”
“I'm scared to scale and throw money at a campaign that's reading the wrong data.”
You're not being paranoid. You're missing a reliable signal — and that's a fixable problem.
This isn't a performance problem. It's a signal problem.
Here's what's actually happening underneath the dashboards — explained without the acronyms.
Why is Meta missing so many of your conversions?
The iPhone changed the rules. After Apple's privacy updates, a large share of purchases never make it back to Meta from the customer's browser. Industry estimates put attribution loss as high as 60–70% on browser-only setups. Your ads are working harder than your dashboard can see.
Illustrative — industry context
On browser-only setups, attribution loss runs 60–70%. Illustrative.
Why does Meta show more sales than Shopify?
Because the same sale can get counted twice. When a native integration and a manual pixel both fire on checkout without proper deduplication, platforms double-count purchases. Your reported cost per sale looks great. It just isn't real.
Illustrative — industry context
Same order, two events, no deduplication — counted twice. Your cost per sale looks ~2× better than it is. Illustrative.
Why do Shopify, GA4 and Meta all show different numbers?
Your platforms were never speaking the same language. Multiple pixels, old tags, and apps injecting their own tracking mean Shopify, GA4 and Meta each measure a different slice of reality. That's why no two numbers match.
Same week — revenue reported by source
Multiple pixels, old tags, and apps each measure a different slice. Illustrative.
Did a Shopify checkout update quietly break your tracking?
It happens more often than you'd think — and silently. Recent Shopify checkout changes broke purchase events on a lot of stores. Sales kept happening. The tracking just stopped reporting them.
Illustrative — industry context
Tracked purchases — weekly
Sales kept happening — tracked purchases dropped after a silent checkout change. Illustrative.
The iPhone changed the rules. After Apple's privacy updates, a large share of purchases never make it back to Meta from the customer's browser. Industry estimates put attribution loss as high as 60–70% on browser-only setups. Your ads are working harder than your dashboard can see.
Illustrative — industry context
On browser-only setups, attribution loss runs 60–70%. Illustrative.
None of these show up as a red error message. They show up as a ROAS that doesn't match your bank, and a budget you're afraid to increase.
Conversion Tracking Services
Three services. One simple path: find it, fix it, future-proof it.
You don't pick one blind. You start with the audit — it tells you exactly which of the next steps your data actually needs. Most brands need the repair. Some are ready to future-proof. A few are already fine, and we'll tell you that too.
| ① Conversion Signal Audit | ② Tracking Repair Sprint | ③ First-Party Signal Setup | |
|---|---|---|---|
| What it does | Finds what's broken | Fixes what's broken | Builds tracking that won't break |
| You need it when | You're not sure your numbers are real | The audit found gaps to fix | You spend heavily and want it bulletproof |
| You walk away with | A scored report + proof + fix roadmap | Clean, validated, documented data | A durable first-party data layer |
| Timeline | 48–72 hours | 5–10 days | 7–15 days |
| Role | Start here | Where most brands go next | For brands scaling hard |
① Conversion Signal Audit
- What it does:
- Finds what's broken
- You need it when:
- You're not sure your numbers are real
- You walk away with:
- A scored report + proof + fix roadmap
- Timeline:
- 48–72 hours
- Role:
- Start here
② Tracking Repair Sprint
- What it does:
- Fixes what's broken
- You need it when:
- The audit found gaps to fix
- You walk away with:
- Clean, validated, documented data
- Timeline:
- 5–10 days
- Role:
- Where most brands go next
③ First-Party Signal Setup
- What it does:
- Builds tracking that won't break
- You need it when:
- You spend heavily and want it bulletproof
- You walk away with:
- A durable first-party data layer
- Timeline:
- 7–15 days
- Role:
- For brands scaling hard
Conversion Signal Audit
Start hereFind out what you're really working with.
Know exactly what Meta, Google and GA4 are missing, duplicating or misreporting — before you spend another dollar scaling.
In 48–72 hours we run an independent diagnosis of your entire conversion tracking setup. We don't touch anything — we examine what's actually firing, what's silently failing, and what it's costing you in decisions. You finally see, with evidence, whether the numbers you've been scaling on are real.
What we check:
- GA4, Google Tag Manager, Meta Pixel and Meta CAPI configuration
- Google Ads conversions and Enhanced Conversions coverage
- Purchase, cart and checkout events — counted once, with the right value and currency
- Duplicated tags, missing events, and mismatched IDs across platforms
- Checkout flow integrity, including post-Shopify-update breakage
- Forms and call tracking where they apply
What you walk away with:
- A scored audit report, broken down by area, so you see at a glance what's solid and what's leaking
- 3–7 critical findings, each backed by a screenshot of the evidence — no “trust me”
- A 5–10 minute Loom walkthrough explaining what we found and why it matters to your spend, in plain English
- A prioritized fix roadmap: what to fix first, second and third, ranked by impact on your data and your budget
Best for: Any brand running paid media that isn't 100% sure the numbers are real. Everyone starts here.
Timeline: 48–72 hours · The starting point.
Tracking Repair Sprint
Where most brands go nextFix the leaks. Trust the data.
Turn unreliable, duplicated or missing conversion events into purchase data you can actually act on.
This is where the gaps the audit found get closed — properly, with QA and documentation, not a quick patch. We go into your setup, clean up what's broken, validate that every critical event fires correctly, and hand you a record of exactly what changed. When we're done, your dashboard reflects reality and you can optimize without second-guessing it.
What we fix:
- Tag cleanup and event correction across GA4 and Google Tag Manager
- Google Ads conversion tracking and Meta Pixel events
- Event ID and browser/server deduplication, so the same purchase stops being counted twice
- Purchase value, currency and items sent correctly
- Meta CAPI (native/plugin) and basic Enhanced Conversions, where full server-side architecture isn't required
- Form, booking and call tracking where it applies
What you walk away with:
- A validated setup, tested live and in staging
- A before/after report showing what was broken and what's now firing correctly
- Full technical documentation of every change — so nobody can ever say “someone touched it and broke it”
- A clean handoff to you or your agency
Best for: Brands that already have tracking in place but are running on broken, duplicated or incomplete events. This is the work that makes your dashboard trustworthy again.
Timeline: 5–10 days · Where most brands see the fix.
First-Party Signal Setup
For brands scaling hardBuild the layer that doesn't break.
A durable conversion data layer that browser blockers and iPhone changes can't quietly take down.
For brands with real spend and real volume, fixing events isn't enough — you need an architecture that keeps feeding clean data to Meta and Google no matter what Apple or the browsers do next. We build a modern first-party signal layer: your conversion data sent straight from your own server, not just the customer's browser, so blockers and privacy changes can't blind your campaigns.
What we build:
- Server-side GTM (or equivalent infrastructure) on Stape or cloud hosting
- A dedicated subdomain and DNS setup for first-party data collection
- Meta CAPI with full browser/server deduplication
- Google Ads Enhanced Conversions and basic GA4 server-side routing
- Complete technical documentation of the architecture
What you walk away with:
- A validated server-side setup — we don't hand it over until it's confirmed clean in Meta Events Manager, Google Tag Assistant and GA4 DebugView
- Conversion signals that survive iOS, Safari ITP and ad blockers
- Documentation your team or agency can actually maintain
Best for: Brands with meaningful ad spend and volume, ready to invest in infrastructure that pays for itself. This is the long-term foundation — not a quick install.
Timeline: 7–15 days · The long-term foundation.
Who this is for
This is for you if:
- You run a DTC brand on Shopify or WooCommerce
- You're actively spending on Meta and/or Google Ads
- You're roughly between early traction and serious scale
- You want to trust your numbers before you increase budget
This probably isn't for you if:
- You're not running paid media yet
- You're looking for the cheapest possible pixel install
- You want campaign management or creative — that's not what we do
We do one thing, and we do it properly: make sure the conversion data your growth depends on is real.
FAQ
What you might be thinking
Why Fiori Analytics
Fiori Analytics is an analytics and conversion-data consultancy for growing DTC brands. This page is our focused conversion-signals offer: we audit, repair and future-proof the tracking your paid media runs on — independent of any agency or ad platform.
We diagnose before we touch anything.
Every engagement separates what we observed, the business risk it creates, the technical fix, and how we validate it. No fixing in the dark.
We document everything.
You get a record of what was broken, what we changed, and how we proved it works. The opposite of a freelancer who logs out and leaves you guessing.
We sit between cheap and bloated.
More reliable than a low-cost gig. Faster and leaner than a heavyweight agency retainer. Built for growing DTC brands that need their data right.
Who you work with
You work directly with the person who runs your review.
Fiori Analytics is run by Daniel N Vieira — Founder & Lead Engineer. GA4, server-side GTM, Meta CAPI, BigQuery, attribution modeling, with 15+ years in DTC apparel and consumer brands behind it — so the audit reads your data the way an operator would, not just a technician. No account managers, no junior hand-offs: the person who audits your stack is the person you talk to.
That's the trade-off with a boutique — you don't get a bench of 200 consultants. You get senior eyes on your data, direct access, and a method documented well enough that nothing lives in one person's head.
Stop scaling on data you're not sure about.
Before you put more behind paid media, find out what your conversion tracking is actually capturing — and what it's missing. Start with the audit. If your data's clean, we'll tell you. If it's not, you'll know exactly what to fix and what it takes.
Independent. Evidence-based. No obligation to go further.