OTT Campaign Dashboard
Automated multi-platform campaign tracking and optimization system
PROJECTS OVERVIEW
Built a comprehensive automated performance tracking system for a $35,000 OTT advertising campaign across four major streaming platforms (Hulu, Roku, Pluto TV, and Amazon Fire TV).
The dashboard provides real-time campaign monitoring, automated KPI calculations, platform comparison analysis, and visual performance reporting to support data-driven optimization decisions in programmatic advertising operations.
MY ROLE:
Campaign Analytics Developer (Solo Project)
Responsible for complete end-to-end development including:
Data structure design and workflow architecture
Formula implementation and automation logic
Visualization creation and dashboard UX design
Alert system configuration
Quality assurance and testing
Time Investment: 6 hours of focused development
Results/Insights:
Dashboard enables daily monitoring and identified Hulu as the most cost-efficient platform with lowest CPA.
Objective:
Create an automated dashboard system that:
Tracks key OTT advertising metrics in real-time
Identifies performance issues and opportunities automatically
Provides visual reporting for account management teams
Enables fast, data-driven campaign optimization decisions
Reduces daily reporting time from 30+ minutes to under 5 minutes
Key Features:
Automated performance calculations
Platform comparison analysis
Visual reporting with charts
Budget pacing alerts
TOOLS & SKILLS
Technical:
Google Sheets (Advanced formulas and functions)
Data analysis and aggregation (SUMIF, INDEX/MATCH, VLOOKUP)
Conditional formatting and alert systems
Data visualization (charts, graphs, visual dashboards)
Cross-sheet references and dynamic calculations
Industry Knowledge:
OTT/CTV advertising metrics (CPM, VCR, CTR, CPA)
Campaign pacing and budget management
Multi-platform performance analysis
DSP operations workflow understanding
Core Skills:
Analytical problem-solving
Data organization and structure
Process automation
Dashboard design principles
Quality assurance testing