Marketing teams don't trust their numbers. I fix that.

Laurent Fidahoussen, senior ads, tracking & analytics expert. For e-commerce and marketing teams whose GA4, ad platforms and back office don't report the same numbers.

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SFR
TheFork
Expedia Group
American Express GBT
Groupe Clarins
BNP Paribas Wealth Management

One problem, one fix

What clients tell me on the first call, and what I do about it.

01

“I no longer trust my numbers.”

Analytics audit and data quality

Adobe Analytics, GA4: metrics, segments, bot filtering, KPIs put back on track.

Benchmark: in 2025, more than half of all web traffic (53%) came from bots, not humans (Thales).

02

“My app and my website are two different worlds.”

Hybrid app and data reconciliation

Bridge from web to app into Firebase, visitor reconciliation (visitorId), no double counting.

Benchmark: shopping apps convert more than 3 times better than mobile web (21% vs 6%, Criteo, 2018).

03

“My ads can’t see my sales.”

Data for advertising

Conversion pixels, Meta CAPI, server-side, Eulerian tag management, multichannel acquisition source management, Google and Meta audiences.

Benchmark: adding the Conversions API to the Meta pixel cuts cost per action by 13% on average (Meta).

04

“Consent is cutting off my data.”

Multi-market consent

CMP (Didomi, Tarte au Citron) and Consent Mode v2, tested market by market.

Benchmark: with Consent Mode, Google recovers on average more than half of the conversions lost when visitors decline cookies (Google).

05

“We’re launching a brand and rebuilding the site.”

Tagging plan and TMS

GTM client and server-side, Commanders Act, Adobe Launch: from tagging plan to QA, with UX, design and digital marketing teams.

Benchmark: a 0.1 s faster mobile site lifts retail conversions by 8.4% (Deloitte study for Google).

Analytics

Adobe Analytics
GA4 · Firebase
AppsFlyer · Eulerian

Tag management

GTM client + server
Commanders Act
Adobe Launch
Stape · Addingwell

Ads

Google Ads
Meta Ads + CAPI

Consent

Didomi
Tarte au Citron
Consent Mode v2 · TCF

Data

Looker Studio / Data Studio
Snowflake
Python

How I work

No blind quotes: we measure first, then we fix.

Bar chart under a magnifying glass: one bar does not match

Audit

I list the gaps on your real data, with proof for each problem.

1–2 weeks · written report

Ranked list of fixes, each with an impact bar

Costed plan

Every fix with its impact, its effort and the recommended order.

Two data lines converging, with a check mark

Delivery & checks

I fix, then I check that the numbers keep matching over time.

2–4 weeks

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What they say

"

“[…] his ability to bridge technical, product, and analytics teams.”

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F.

Head Of Acquisition Online & Data Activation

SFR

"

“Laurent is a true accelerator of reliability and analytical performance in complex organizations.”

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S.

Director, Advanced Data Insights Analytics

Egencia

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“[…] turning complex business requirements into reliable, actionable implementations.”

"
G.

Web Analyst

TheFork

Let's talk about your case

A quick call to understand where your numbers drift. No commitment.

Book a call

Latest articles

Let's discuss your data strategy.

Tell me about your tracking, analytics or ads setup. We look at what breaks and what to fix first.

What happens next

  1. A 30-minute callTo understand where your numbers drift.
  2. AuditI list the gaps on your real data, with proof for each problem (1–2 weeks).
  3. Costed planEvery fix with its impact, its effort and the recommended order.

Based in Paris · no commitment.