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What I can take on, who it suits, and the work that shows it. I do not promise results. I promise a clear structure, honest reporting and a next step you can act on.

Paid media strategy and planning

Who it is for

Brands starting paid media, or spreading budget across platforms without a clear reason.

Problem it solves

Spend goes to whatever platform is familiar and nobody can say why.

What you get

A channel and budget plan tied to your objective (purchases, leads, installs or conversations).
A campaign structure that separates tests from scaling.
The KPIs and reporting rhythm to judge each channel.

Evidence: The same purchase brief on Meta, TikTok and Snapchat showed different costs per purchase. Matrest case study

Meta, TikTok, Snapchat and Google Ads management

Who it is for

Teams that want a hands-on buyer running the accounts week to week.

Problem it solves

Campaigns launch, then nobody has time to read results and make the next move.

What you get

Campaign setup, daily monitoring and optimisation.
Audience, targeting and creative tests with clear decisions at the end.
Reporting that explains what changed and what to do next.

Evidence: Four platforms running for one store. Shurfan Perfumes case study

E-commerce growth and ROAS optimisation

Who it is for

Online stores that sell through their own website or Shopify.

Problem it solves

Ad spend rises while the cost of a purchase moves the wrong way.

What you get

Purchase, catalogue and retargeting campaigns structured around ROAS.
Creative batches launched in a way that lets each one be read on its own.
A view of which markets, offers and formats earn their budget.

Evidence: 3.18 ROAS on Snapchat and 4.76 on Meta for one perfume store. Laprivee case study

Lead generation strategy

Who it is for

High-consideration sellers: property, cars, local services and B2B-style offers.

Problem it solves

Leads arrive at very different prices and nobody knows which kind is worth buying.

What you get

Lead forms, WhatsApp and call campaigns run side by side so their costs can be compared.
Segmentation by product, stock and offer.
Cost per lead tracked by campaign, with the quality questions raised early.

Evidence: Cost per result from EGP 16.82 to EGP 125.05 across result types. Ronex and Horse Power case study

App-install campaigns

Who it is for

Apps that need installs at scale on TikTok or Snapchat.

Problem it solves

Install cost climbs as soon as budgets grow.

What you get

Test, winner and scaling campaigns, kept apart.
Creative built to show the app in use.
SKAN-based reading of results for iOS.

Evidence: $492.8K on TikTok at $0.32 per SKAN conversion. Ekhsemli case study

Campaign audits and optimisation

Who it is for

Brands with live accounts and a feeling that something is leaking.

Problem it solves

The account has grown by copy-and-paste and nobody has checked it end to end.

What you get

A read of structure, spend by campaign, and results by objective.
A short list of what to stop, what to scale and what to test.
A walk-through call.

Evidence: 188 campaigns read side by side, with objectives separated. Lanell case study

Performance analysis and reporting

Who it is for

Founders and managers who want one honest view of paid results.

Problem it solves

Platform dashboards disagree with the store, and reports go unread.

What you get

Reports built from platform and store data, with the caveats stated.
Recommendations that name the next action.

Evidence: Platform results set beside store sessions, orders and sales. Shurfan Perfumes case study

Not sure which one you need?

Book a consultation and bring the account, the budget and the goal. We will pick the first move together.

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