I sit at the intersection of four disciplines: Technology × Creative Psychology × Paid Distribution × Commercial Data.
BS Computer Science • UMT Lahore
My background started in Computer Science at UMT Lahore, breaking down data structures, logic, and algorithmic systems.
When I entered digital marketing, I saw what was broken: Creative agencies made pretty videos that didn't convert, while media buyers treated ad accounts like slot machines without understanding the offer, funnel, or tracking.
With an engineering mindset, I connect server-side data (Meta CAPI / GTM), direct-response psychology, and disciplined campaign structures into a compounding customer acquisition engine.
The core convictions behind scaling ad accounts profitably without burning cash.
More budget never fixes a broken offer. If it doesn't convert at $100/day, spending $1,000/day only accelerates cash burn. We fix economics first.
The market doesn't care about subjective opinions. We run disciplined weekly experiments testing hooks, angles, and formats until winning outliers emerge.
In modern algorithmic ad auctions (Advantage+ & PMax), interest hacking is dead. Your hook, script angle, and visual format are your true targeting parameters.
Getting the click is only 20% of the job. The battle is won on landing page speed, message match, social proof, and frictionless checkout flows.
Ad networks love taking credit for easy sales. We verify in-platform ROAS against real bank revenue, blended MER, and server-side tracking data.
I don't use AI for generic captions. I build agentic workflows to extract sentiment from thousands of customer reviews and engineer high-converting angles at scale.