AI-Powered Media Buying

I turn ad spend into profitable revenue.

Five years buying media across Google Ads and Meta for eCommerce brands in the US, UK, Australia, Canada and EU. I run an AI-augmented workflow that finds waste faster, tests creative faster, and reports in hours instead of days.

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$0Monthly ad spend under management
0Average ROAS delivered
0Years in paid media
0International markets
Services

Full ownership of the paid function

From account architecture and feed setup through to reporting that ties every dollar of spend back to revenue.

Google Ads Management

Search, Shopping, Performance Max, Demand Gen and Display, built around profitability rather than vanity metrics.

  • Account structure and full rebuilds
  • Merchant Center feed optimization
  • Bid strategy — tCPA, tROAS, Max Conv.
  • Search term auditing and negatives
  • Budget pacing and seasonal scaling

Meta Ads Management

Full-funnel paid social with a disciplined creative testing cadence and attribution you can actually trust.

  • Prospecting and retargeting funnels
  • Advantage+ Shopping campaigns
  • Audience segmentation and exclusions
  • Structured creative testing frameworks
  • Pixel and Conversions API setup

Tracking & Reporting

If the tracking is wrong, every decision after it is wrong. I fix that before touching budget.

  • GA4 and Google Tag Manager setup
  • Conversion and offline import config
  • Looker Studio dashboards
  • ROAS, CPA and MER analysis
  • UTM governance and attribution
The AI Stack

AI is in the workflow, not the pitch deck

Most buyers use AI to write ad copy and stop there. I've built it into the whole loop — ingest, analyse, act, report — which is why a full account audit takes me hours rather than a week.

01 — INGEST
Connect
Custom Claude Skills with MCP connectors pull live data from ad and analytics platforms
02 — ANALYSE
Diagnose
Automated audits surface wasted spend, tracking gaps, feed errors and structural issues
03 — ACT
Optimise
AI-assisted copy, creative variants, landing page and CRO testing at production speed
04 — REPORT
Explain
Automated reporting that says what changed, why, and what it did to revenue
account-audit — claude skill

What the AI layer actually does

  • Custom Claude Skills + MCP — automated campaign reporting, data pulls and audit workflows across ad and analytics platforms
  • Website & landing page analysis — CRO testing and pre-launch QA covering page speed, UX friction, conversion paths and tracking implementation
  • Creative at scale — LLM-assisted ad copy, creative variants and landing page copy, compressing testing cycles from weeks to days
  • Platform-native AI — Performance Max asset generation, Meta Advantage+, Smart Bidding and AI-driven audience expansion
  • Research — AI-assisted keyword, SERP and competitor analysis to align paid and organic coverage
Selected Work

What that looks like in practice

Client names are withheld under confidentiality. Figures reflect spend under my direct management.

Multi-brand eCommerce · US, UK, AU, CA, EU

Scaling Google Ads across five international markets

Challenge
A multi-brand apparel portfolio was running blended campaigns across five markets with no market-level visibility, inconsistent feed quality, and bid strategies that had never been reviewed against changing seasonality.
Approach
Rebuilt account structure by market and product tier, migrated onto value-based bidding, ran systematic search term audits and negative keyword sculpting, and restructured Merchant Center feeds to improve eligibility and disapproval rates. Built Looker Studio reporting down to product and market level.
Outcome
$30K+ monthly spend under management at 3.5+ average ROAS, with improved Shopping impression share and market-level profitability visibility the team did not previously have.
Meta Ads · Multiple client accounts

Full-funnel Meta buying for eCommerce and service brands

Challenge
Client accounts were running broad, single-stage campaigns with degraded signal quality and no structured creative testing. Spend was flat and attribution was unreliable.
Approach
Rebuilt into prospecting, retargeting and Advantage+ Shopping stages with clean audience exclusions. Implemented Pixel and Conversions API tracking to restore event quality, then ran a fixed weekly creative testing cadence against consistent hooks and formats.
Outcome
$3K–$10K in combined monthly spend under management across multiple accounts, with restored attribution accuracy and a repeatable creative testing process clients could sustain without me.
Paid + Organic Integration

Aligning paid search with organic to cut wasted spend

Challenge
Paid and organic search were run independently, so budget was being spent on terms the brand already ranked for, while genuinely competitive terms were underfunded.
Approach
Mapped paid keyword coverage against organic rankings, reallocated budget toward the gaps, and used AI-assisted SERP and competitor analysis to prioritise. Ran landing page and CRO testing so the traffic converted better once it arrived.
Outcome
Reduced overlap between paid and organic coverage, freeing budget for higher-intent terms and improving on-site conversion performance.
Capabilities

Platforms and disciplines

Platforms & Tools

Google AdsPerformance MaxGoogle Shopping Demand GenMerchant CenterMeta Ads Manager Advantage+GA4Google Tag Manager Looker StudioSearch ConsoleConversions API SemrushShopifyClaude / MCP

Disciplines

Budget pacingBid strategyAudience segmentation Creative testingFeed optimizationAttribution modelling CROLanding page testingTechnical SEO AEOGEOStructured data Affiliate & influencerPrompt engineering
About

How I work

I'm a media buyer based in Karachi, Pakistan, working with brands across the US, UK, Australia, Canada and Europe. My background is in computer science, which is probably why I care more about tracking accuracy and account architecture than most people who arrive at this job through marketing.

Most accounts I inherit have the same three problems: tracking that quietly under-reports, structure that makes optimisation impossible, and budget allocated by habit rather than by return. I fix those in that order, because nothing above them works until they're right.

I work with a small number of clients at a time, and I don't take on brands that compete with existing clients or with my employer.

How engagements work

  • Audit first — I review the account, tracking and landing pages before proposing anything
  • Fix the foundation — tracking and structure before scaling spend
  • Retainer or % of spend — priced to the account, never by the hour
  • You own the ad accounts — always, without exception
  • Reporting you can read — ROAS and revenue, not impression counts

Let's look at your account

Tell me a little about the account and I'll come back with a written audit of what I'd change first — no charge, no obligation.

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