Work

Case studies that explain, not decorate.

Every case follows the same structure: the business challenge, the strategy, execution, optimization decisions, then results with a clear definition for each metric — and what it taught.

Illustrative examples

The required case-study format.

Fictional data

E-commerce

Fictional data

Increase direct sales for a perfume store while lowering cost per order without cutting spend.

Meta AdsGoogle ShoppingGA4Jan — Mar 2025 (12 weeks)

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Healthcare

Fictional data

Generate confirmed bookings (with an actual appointment) for a specialised clinic instead of collecting uninterested phone numbers.

Meta AdsTikTok AdsWhatsAppMay — Jul 2025 (8 weeks)

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Real Estate

Fictional data

Generate qualified buyers for a residential project using clear purchase criteria, instead of maximizing raw enquiries.

Meta AdsGoogle SearchCRMOct — Dec 2024 (13 weeks)

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Financial Services

Fictional data

Lower cost per lead while keeping a qualification rate high enough for the sales team to actually call it.

Meta AdsGoogle SearchGTMApr — Jun 2024 (10 weeks)

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Why these examples? Because they show the required depth: not “we achieved great results”, but the real business problem, the decision taken and why, which number improved under which definition, and what is still unproven. Charts here are illustrative only — real studies are built from actual data.

Real case studies

Published here once their numbers are verified.

The four examples above cover the sectors I have worked in — e-commerce, healthcare, real estate and financial services. Each one shows the required structure and will be replaced by a real study built from actual data, at the same level of detail, once every metric is verified.