Client Success Story
AI-Powered SaaS Marketing Dashboard for Advertising Analytics
Project Overview
Centralizing Marketing Intelligence for Agency Growth
A high-performance analytics platform that automates marketing reporting by aggregating data from major ad networks into a unified AI-driven intelligence hub.
MarTech
USA, New York
8 months
$55K
Strategy & Execution
How We Built a Unified AI Attribution Engine for Marketing Agencies
Our technical strategy centered on a robust ETL (Extract, Transform, Load) pipeline and a lightning-fast data visualization layer.
We implemented a resilient background worker system to manage complex API rate limits and ensure data freshness.
On the backend, we designed a normalized PostgreSQL schema to unify disparate metrics into a consistent format.
The frontend was built with custom-optimized React components to handle high-density charts without performance degradation.
We followed a phased roadmap: 3 months for the core MVP and 5 months for advanced scaling and multi-tenant agency features.
The Digital Marketing 'Spreadsheet Nightmare'
Digital marketing teams were struggling with extreme data fragmentation, where each platform used different attribution windows and naming conventions.
This led to manual reporting errors, significant operational overhead (up to 20 hours per week per manager), and delayed decision-making.
The challenge was to create a system that could normalize this data in real-time while maintaining 100% accuracy for financial reporting and budget allocation.
Automated Intelligence for Performance Marketing
We delivered a production-grade SaaS platform that acts as a centralized brain for marketing operations:
KEY FEATURES IMPLEMENTED:
- 01
Multi-Source API Orchestration
Automated connectors for all major ad platforms and e-commerce stores. Data is synced hourly, ensuring that dashboards reflect the most current performance metrics.
- 02
Blended Metrics Engine
A sophisticated calculation layer that aggregates spend and revenue across all channels to provide a holistic view of Marketing Efficiency Ratio (MER).
- 03
Automated Agency Reporting
A drag-and-drop report builder that generates professional, client-ready presentations automatically, saving teams hundreds of hours of manual labor.
- 04
AI Spending Guard
An intelligent monitoring layer that uses machine learning to detect anomalies in ad performance and alert users to budget waste or tracking issues.
- 05
High-Performance Visualization
Interactive, deep-drill dashboards designed to handle millions of data points while remaining intuitive for non-technical marketing managers.
Project Interface Showcase
Client Testimonials
What Our Clients Say
Feedback on how our innovative solutions help achieve business results.
Xedrum delivered a production-ready AI-powered application within the agreed timeline and budget, including a working release on Apple TestFlight. The team was highly proactive in resolving issues, adapting to evolving requirements, and ensuring the AI functionality aligned with real user needs. Throughout the engagement, Xedrum consistently treated the project as a priority and demonstrated a strong understanding of both technical and business concerns.
Celine LeibfriedCEO at UnscriptedXedrum successfully implemented a robust system that allows users to upload data, execute automated jobs, and retrieve results efficiently. The team delivered all components on schedule, maintained clear communication through weekly and ad-hoc meetings, and demonstrated professionalism throughout. The final solution met both technical and operational expectations.
Tomer PeretzCTO at OsirixXedrum's engineers worked closely with the client's project manager, integrating seamlessly into the existing workflow. The team consistently delivered planned milestones, maintained strong communication through regular online meetings, and brought a personal, collaborative approach that made them feel like an in-house AI team rather than an external vendor.
FredericCTO at Touch2SeenXedrum operated as an extension of the client's internal team, taking ownership of both delivery and day-to-day execution. Their engineers quickly understood the product context, collaborated across time zones, and proactively contributed ideas to improve the solution. The team maintained consistent velocity, adapted to changing priorities, and helped move the product forward without adding management overhead.
Arnon ZamirCTO at AristoXedrum successfully implemented a robust system that allows users to upload data, execute automated jobs, and retrieve results efficiently. The team delivered all components on schedule, maintained clear communication through weekly and ad-hoc meetings, and demonstrated professionalism throughout. The final solution met both technical and operational expectations.
Richard BatesCEO at Acumen DataXedrum delivered a production-ready AI-powered application within the agreed timeline and budget, including a working release on Apple TestFlight. The team was highly proactive in resolving issues, adapting to evolving requirements, and ensuring the AI functionality aligned with real user needs. Throughout the engagement, Xedrum consistently treated the project as a priority and demonstrated a strong understanding of both technical and business concerns.
Celine LeibfriedCEO at UnscriptedXedrum successfully implemented a robust system that allows users to upload data, execute automated jobs, and retrieve results efficiently. The team delivered all components on schedule, maintained clear communication through weekly and ad-hoc meetings, and demonstrated professionalism throughout. The final solution met both technical and operational expectations.
Tomer PeretzCTO at OsirixXedrum's engineers worked closely with the client's project manager, integrating seamlessly into the existing workflow. The team consistently delivered planned milestones, maintained strong communication through regular online meetings, and brought a personal, collaborative approach that made them feel like an in-house AI team rather than an external vendor.
FredericCTO at Touch2SeenXedrum operated as an extension of the client's internal team, taking ownership of both delivery and day-to-day execution. Their engineers quickly understood the product context, collaborated across time zones, and proactively contributed ideas to improve the solution. The team maintained consistent velocity, adapted to changing priorities, and helped move the product forward without adding management overhead.
Arnon ZamirCTO at AristoXedrum successfully implemented a robust system that allows users to upload data, execute automated jobs, and retrieve results efficiently. The team delivered all components on schedule, maintained clear communication through weekly and ad-hoc meetings, and demonstrated professionalism throughout. The final solution met both technical and operational expectations.
Richard BatesCEO at Acumen Data
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Hi, I'm Danylo Melnychuk
CEO at Xedrum
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