Building Smarter Growth with AI, Data & AdTech.
I'm Nazmul Hasan Bhuiyan — an AI-driven performance marketer and AdTech specialist focused on media buying, data analytics, SEO, publisher monetization, programmatic advertising, and AI-powered growth solutions.
From Marketing to AdTech
A path built one layer of the growth stack at a time — from hands-on campaigns to the systems and technology that power them.
Digital Marketing
Learned the fundamentals — channels, funnels, and audience behavior.
Performance Marketing
Shifted focus to measurable outcomes: CAC, ROAS, and conversion-driven strategy.
Media Buying
Managed paid acquisition across platforms with structured testing.
Data Analytics
Built dashboards and attribution models to guide decisions with evidence.
SEO
Extended growth into organic search — technical, content, and authority work.
Publisher Monetization
Moved to the supply side — yield strategy and revenue optimization.
Programmatic / AdTech
Studied the auction layer — DSPs, SSPs, and exchange mechanics.
AI + AdTech SaaS
Now building AI-powered tools for the marketers and publishers I used to be.
A full-stack view of growth
Eight disciplines that combine into one system — acquisition, data, and the technology underneath both.
Performance Marketing
Campaign strategy, optimization, conversion-focused growth, and performance analysis.
AI-Driven Marketing
AI-assisted research, automation, optimization, content systems, and intelligent workflows.
Media Buying
Paid acquisition, campaign management, audience targeting, testing, and optimization.
Data Analytics
Marketing analytics, KPI tracking, dashboards, attribution, insights, and decision-making.
SEO
Keyword research, technical SEO, content strategy, organic growth, and search visibility.
Publisher Monetization
Revenue optimization, traffic monetization, ad performance, and yield-focused strategies.
Programmatic & AdTech
Programmatic advertising, DSP/SSP concepts, ad exchanges, bidding systems, and advertising technology.
AI + AdTech SaaS
Building future-oriented AI-powered tools and SaaS solutions for advertising, publishers, and marketers.
Where each layer led to the next
Work across the growth stack
Representative examples of the type of work I do. Marked demo projects until replaced with verified case studies.
Mid-funnel drop-off recovery
Cross-channel budget reallocation
Technical SEO recovery
Unified attribution dashboard
Header bidding yield lift
AI campaign-optimization prototype
An interactive read on the numbers
Switch views to see how the same growth system looks from three sides. All figures below are demo data.
Exploring the systems behind digital advertising
The pipes that move traffic, data, and demand into revenue — mapped as flows.
Programmatic
Publisher Monetization
AI Optimization
Marketing Intelligence
Building the Next Generation of AI + AdTech
A conceptual product direction — the tools I'm building to give marketers and publishers an AI-native command center.
AI Campaign Optimization
Automated bid, budget, and creative decisions.
Revenue Prediction
Forecast publisher and campaign revenue ahead of time.
Publisher Analytics
Unified yield and traffic reporting in one view.
Traffic Intelligence
Understand where quality traffic is really coming from.
Automated Reporting
Reports that write themselves, on schedule.
Ad Revenue Forecasting
Model demand shifts before they hit the P&L.
AI Recommendations
Plain-language next steps, not just dashboards.
Performance Monitoring
Real-time alerts when metrics move outside range.
Mid-funnel drop-off recovery
Demo case study illustrating process and format — not a verified client result.
Challenge — Paid traffic was strong at the top of the funnel, but conversion dropped sharply after the second step in checkout, capping overall ROAS.
Research — Session recordings and funnel analytics pointed to friction around shipping-cost visibility and a lack of trust signals at checkout.
Strategy — Segment traffic by intent, surface cost transparency earlier, and test trust badges and simplified form fields.
Execution — Rebuilt checkout flow, launched a structured A/B test across three creative and copy variants.
Optimization — Reallocated spend toward the winning segment weekly based on marginal ROAS.
Notes on marketing, data, and AdTech
Where AI actually saves performance marketers time
A practical look at which parts of the workflow are worth automating first.
Read Article →Marginal ROAS: the metric most budgets ignore
Why average ROAS hides the real signal for reallocating spend.
Read Article →Header bidding, five years in
What's changed in yield strategy since the waterfall era.
Read Article →Reading a bid request like a publisher
A walkthrough of what actually happens in the 100ms auction window.
Read Article →Technical SEO audits that actually move revenue
Prioritizing fixes by business impact, not audit-tool severity scores.
Read Article →Building an AI layer on top of a media stack
Early lessons from prototyping an optimization tool for real campaigns.
Read Article →I don't just run campaigns. I study the system behind growth.
From traffic acquisition and media buying to analytics, monetization, programmatic advertising, and AI-powered automation — my goal is to connect data, technology, and marketing into scalable growth systems.
Let's Build Something Smarter.
Have a project, idea, collaboration, or AdTech problem worth solving?
Start a ConversationPlaceholder contact details — replace with verified links before launch.