E-commerce
Demo4.1x
Return on ad spend
Jan — Mar 2025 · Saudi Arabia
Attributed campaign revenue ÷ campaign spend, 7-day post-click window.
Mohamed Gamal El-henawyMansoura, Egypt
I help businesses turn advertising budgets into measurable business outcomes — through strategic media buying, continuous optimization, and reading the numbers before making the call.
Introduction
A campaign does not start inside the ads manager. It starts with understanding the business: who buys, why, at what cost, and what happens after the first click.
So I work across three layers at once — business understanding, acquisition efficiency, and conversion quality — because numbers mean little unless they are tied to a clear commercial decision.
03Selected Performance Highlights
A number alone says nothing. Every metric here appears with the period it was measured in, the market, and its exact definition — before it is read.
E-commerce
Demo4.1x
Return on ad spend
Jan — Mar 2025 · Saudi Arabia
Attributed campaign revenue ÷ campaign spend, 7-day post-click window.
Healthcare
DemoEGP 96
Cost per confirmed booking
May — Jul 2025 · Egypt
Spend ÷ bookings confirmed by the clinic, not submitted forms.
Real Estate
DemoSAR 112
Cost per qualified lead
Oct — Dec 2024 · Saudi Arabia
Spend ÷ leads that passed qualification (budget + timeline).
Financial Services
DemoEGP 74
Cost per lead
Apr — Jun 2024 · Egypt
Spend ÷ completed forms that were followed up by phone.
Every figure above is illustrative and fictional. They are shown to demonstrate how a result is published: value, measurement period, market, and metric definition. Real figures replace them once verified.
04Areas of Expertise
Ten connected areas — described by what they mean in daily work, without invented proficiency scores.
Building a media plan from a clear commercial objective: who we target, at what acceptable cost, and which metric decides success.
Meta campaigns: structure, targeting, budget management and continuous A/B testing.
Fast-paced creative-led campaigns, testing concepts before scaling spend.
Capturing existing demand through search, tying keywords to real purchase intent.
Building a funnel that collects quality leads, not just volume — measured by CPL and cost per qualified lead.
Store-driving campaigns from product view to cart, reading ROAS within its real attribution limits.
Daily or weekly optimization decisions driven by performance: pause, adjust, reallocate, then scale.
Understanding who actually buys versus who consumes budget — audiences built on that, not guesswork.
Reading numbers in context: the period, the objective, each metric’s definition, and the gap between platform-reported and actual outcomes.
Setting up pixels, events and conversions so decisions are not built on incomplete or duplicated data.
05Selected Case Studies
Every study follows the same structure: challenge, strategy, execution, optimization decisions, then results — each metric defined, attribution limits stated.
E-commerce · السعودية
Healthcare · مصر
Both examples above are entirely illustrative — they demonstrate the structure and depth of a case study and do not represent real work for any client.
06Working Methodology
Execution never precedes understanding. Each step has a clear output before moving on.
What is sold, to whom, at what margin — and what “success” means here.
Competitors, pricing levels, seasonality, and what the market actually does.
Who buys, which promise they respond to, and where current offers fail.
Objectives, funnel, budget allocation and the creative testing plan.
Build, configure and verify tracking before any spend goes live.
Data-led decisions: pause, adjust, reallocate, then scale.
Reporting what happened, why, and what the next decision is — not just numbers.
Platforms & Tools
Tools used in daily work — no certification claims.