Product Case Study
AI Marketing Intelligence Platform
An AI-powered operating system built to help marketing teams make faster decisions using unified attribution, reporting, automation, and executive intelligence.
Weekly spend
$48.2K
+4.2% vs prior week
Attributed revenue
$156K
+11% vs prior week
Blended ROAS
3.2×
+0.3 vs prior week
New customers
842
+6% vs prior week
Spend vs plan
Last 12 weeks
Priority alerts
- Prospecting CPA exceeded target by 21%
- Brand search ROAS above scale threshold
- Budget pacing on track for Q2 plan
What happened
Spend 4% above plan. Prospecting CPA up 18%. Brand search ROAS holding at 6.1×.
Why it matters
Creative fatigue on prospecting. Brand channel under-invested relative to return.
What to do next
Refresh top creatives. Shift 15% budget to brand. Audit landing page conversion.
01
The Problem
Marketing data lived across disconnected platforms. Reporting required manually pulling exports every week — and leadership still couldn't get clear answers fast enough.
Data lived across
Leadership couldn't quickly answer
- 01Where are we making money?
- 02What campaigns are underperforming?
- 03What deserves more budget?
- 04What should we do next?
02
The Solution
I designed and built a centralized AI-powered marketing platform that:
- Unifies cross-platform marketing data
- Generates executive summaries
- Tracks attribution
- Automates reporting
- Surfaces opportunities
- Prioritizes next actions
- Monitors campaign health
- Reduces manual reporting from hours to minutes
03
Product Highlights
AI Marketing Intelligence Platform ships as a modular system — each module solves a specific operational or executive need. Click any card to explore.
04
System Architecture
Fragmented platform data flows through a unified pipeline — normalized, analyzed, and surfaced as executive intelligence.
System architecture · left-to-right data flow
05
Capabilities
Executive Reporting
Marketing Attribution
Campaign Monitoring
Forecasting
Budget Planning
AI Recommendations
Customer Intelligence
Growth Analytics
Workflow Automation
Marketing Operations
Cross-platform Reporting
Decision Support
06
How I Built It
01
Centralized the data
Organized disconnected marketing data from six platforms into one normalized pipeline with scheduled sync and local caching.
02
Designed attribution
Built a unified attribution model with visible assumptions — so leadership debates strategy, not spreadsheet accuracy.
03
Embedded intelligence
Created AI-assisted executive reporting that generates briefings, trend signals, and prioritized decisions from live data.
04
Automated workflows
Replaced manual Monday exports with auto-sync, alert engines, and Slack/PDF export pipelines.
05
Designed for decisions
Every interface prioritizes business questions over raw data tables — built for executives, not analysts.
07
Technology Stack
Production-grade full-stack marketing software — custom-built, not a dashboard embed.
Frontend
Backend
AI
Analytics
Integrations
Ops
08
Business Impact
6 hrs → 20 min
Reduced weekly reporting time
Automated data pulls and executive brief generation replaced manual Monday exports.
6 sources
Unified disconnected systems
Ads, CRM, orders, and attribution consolidated into one operating system.
Real-time
Improved executive visibility
Leadership gets live pacing, alerts, and decision queues — not stale spreadsheets.
Multi-mode
Centralized attribution
One attribution model with audit trails replaced fragmented platform reports.
Repeatable
Reusable AI reporting workflows
Briefing templates, export pipelines, and alert rules scale across teams.
Scalable
Internal marketing infrastructure
Modular architecture supports new data sources, modules, and AI upgrades.
Confidentiality
All product previews use fictional demo data. No client names, revenue figures, campaign details, or confidential business information are shown. This case study demonstrates product design, system architecture, and engineering capability.
He doesn't just run ads. He builds products.
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