The Challenge

A global D2C brand was spending over $5M annually across Facebook, Google Ads, TikTok, and LinkedIn. However, they had no unified way to track ROAS (Return on Ad Spend) or CAC (Customer Acquisition Cost) in real-time, relying instead on weekly manual reports.

Attribution discrepancies between platforms were causing confusion and leading to suboptimal budget allocation choices. They needed a 'Single Source of Truth' to understand which dollar spent was actually driving profit.

Technical Implementation

I created the 'Marketing KPI Command Center'—a real-time dashboard that synthesizes data from 10+ marketing APIs. I built a custom attribution engine in Python that reconciles cross-channel data and provides a unified view of the customer journey.

The dashboard features predictive forecasting to estimate end-of-month spend and performance, as well as an 'Anomaly Detection' system that alerts the marketing team if a campaign's performance drops below a certain threshold.

I also implemented 'Incrementality Testing' modules that helped the brand verify whether their ads were truly driving new sales or just capturing existing brand-demand, leading to much more efficient media buying.

Interactive Experience

Explore the high-fidelity implementation and architectural logic of the Marketing KPI Command Center development environment.

Project Visualization

Development Lifecycle

The sequential process followed to ensure architectural integrity and delivery excellence.

Discovery

Requirement gathering and technical feasibility audits.

Architecture

Structural design and integration of core microservices.

Execution

Agile development cycles and real-time integration testing.

Deployment

Production release and automated staging environment validation.

Visual Ethos

Designed with a focus on high data density and accessibility. The interface utilizes a fluid grid system to ensure seamless performance across enterprise environments.

Core Stack

Built using industry-standard protocols to ensure scalability. Every module is optimized for fast load times and real-time data integrity.

Tableau • Python • API Integrations • Marketing Analytics • Multi-touch Attribution

System Modules & Core Capabilities

An analytical breakdown of the proprietary modules and architectural logic integrated into the system.

CORE-01

Multi-channel Campaign Attribution

CORE-02

Cost Per Acquisition (CPA) Real-time Monitor

CORE-03

Customer Journey Funnel Analysis

CORE-04

Automated Marketing Budget Allocation

CORE-05

Social Media Sentiment Aggregation

CORE-06

Predictive Lead Conversion Scoring