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Case Study: Marketing & Automation Solution

Performance Marketing Cockpit

Single control panel showing ROAS, CAC, LTV across Meta/Google – tailored for CMOs, enabling unified growth marketing, dashboards, and automation.

Published January 5, 2024
1 min read

Technologies Used

React
Node.js
MongoDB
GraphQL
Marketing APIs
AWS
Performance Marketing Cockpit dashboard displaying ROAS, CAC, and LTV metrics across platforms
85%
Faster Decision Making
3.2x
ROAS Improvement
60%
Time Saved on Reporting

One Dashboard to Rule Them All: CMO-Grade Marketing Intelligence

We built a comprehensive performance marketing cockpit that unifies ROAS, CAC, and LTV data across Meta, Google, and other major platforms. Our solution enabled CMOs to make data-driven decisions 85% faster, improved ROAS by 3.2x, and saved 60% of time previously spent on manual reporting.

The Challenge

Fragmented data across multiple marketing platforms and tools
Manual reporting consuming hours of valuable time weekly
Lack of real-time visibility into campaign performance and ROI
Difficulty in making quick optimization decisions across channels

Our Solution

Unified dashboard aggregating data from all major marketing platforms
Real-time ROAS, CAC, and LTV tracking with automated alerts
Advanced attribution modeling for cross-channel campaign analysis
Executive-level reporting with actionable insights and recommendations

Key Features

Real-Time ROAS Tracking

Live return on ad spend monitoring across all channels

  • Cross-platform ROAS calculation
  • Automated performance alerts
  • Historical trend analysis

Customer Acquisition Cost (CAC) Analysis

Comprehensive CAC tracking and optimization recommendations

  • Channel-specific CAC breakdown
  • Cohort analysis
  • Predictive CAC modeling

Lifetime Value (LTV) Intelligence

Advanced LTV calculations and customer segment analysis

  • Predictive LTV modeling
  • Segment-based analysis
  • LTV:CAC ratio optimization

Multi-Platform Integration

Seamless connection with Meta, Google, LinkedIn, and more

  • API-based data sync
  • Real-time data updates
  • Custom platform connectors

Attribution Modeling

Advanced multi-touch attribution across customer journeys

  • Cross-channel attribution
  • Custom attribution models
  • Journey visualization

Executive Reporting

CMO-ready reports and strategic insights

  • Automated executive summaries
  • Strategic recommendations
  • Performance forecasting

Technology Stack

React
Node.js
MongoDB
GraphQL
Marketing APIs
AWS

Project Timeline & Results

1
Week 1-2

Platform Integration & Data Pipeline

Connected all major marketing platforms with real-time data sync

Established secure API connections with Meta Ads, Google Ads, Google Analytics, LinkedIn, and other platforms. Built robust data pipeline with real-time synchronization and data validation to ensure accuracy and reliability.

2
Week 3-4

Dashboard Development & Metrics Engine

Launched unified dashboard with ROAS, CAC, and LTV tracking

Developed the core dashboard interface with real-time metrics calculation engine. Implemented advanced algorithms for ROAS, CAC, and LTV calculations across multiple channels with automated performance monitoring.

3
Week 5-6

Attribution Modeling & Analytics

Deployed multi-touch attribution system with journey tracking

Built sophisticated attribution modeling system to track customer journeys across multiple touchpoints. Implemented advanced analytics for cross-channel performance analysis and budget optimization recommendations.

4
Week 7-8

Executive Reporting & Launch

Delivered CMO-grade reporting with 3.2x ROAS improvement

Created executive-level reporting system with automated insights and strategic recommendations. Launched the platform with comprehensive training and achieved immediate performance improvements for client marketing teams.

Interested in Performance Marketing Cockpit?

Let's discuss how this concept can be tailored to your business needs and drive real results.

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