Trust Ads

Designed automation pipelines and rules engine synchronizing social campaign metrics with real-time budget adjustments.

Product interface screenshot for Trust Ads
Role: Principal Architect & Engineer
Duration: Documented Case Study
Describe Your Technical ChallengeView Related Technologies

Project Overview

Trust Ads is a digital advertising platform engineered to streamline the management, optimization, and reporting of paid marketing campaigns on major social platforms.

Technical Highlights

  • Performance Optimization
  • Maintainability & Code Quality
  • Automation & CI/CD Pipelines

Business Challenge

  • Managing complex, multi-platform ad data with high operational friction.
  • Building and maintaining advertiser trust through transparent reporting and automated performance monitoring.
  • Need for a centralized system to handle campaign automation rules and smart previews effectively.

System Constraints

  • Data Latency Bounds: Campaign metrics from third-party networks (e.g., Meta, Google) must be fetched, normalized, and updated within 15-minute windows without hitting API rate limits.
  • Lock Contention: Automation rules run concurrently across millions of active campaigns, creating high write load on MySQL database transaction logs.
  • Dynamic Previews: Rendering ad configurations with live media requires responsive and low-latency storage access.

System Architecture

  • API Gateway & Routing: Apache and reverse proxy configurations with strict CORS and rate-limiting blocks.
  • Queue Pipeline: Decoupled message queue workers managing API fetch dispatch and campaign rule evaluation.
  • Data Model: Optimized MySQL database schemas with composite indexes on campaign_id and timestamp to accelerate time-series reads.

Technical Stack

Measurable Outcomes

  • Centralized campaign management dashboard.
  • Performance tracking and reporting tools.
  • Budget monitoring and optimization insights.
  • Client-friendly reporting views.
  • Improved campaign visibility for advertisers
  • Reduced confusion around ad performance metrics
  • Enabled data-driven marketing decisions

Lessons & Insights

  • Decoupling API ingestion pipelines from write-heavy databases is critical to maintain web server responsiveness.
  • Database index cardinality matters; building composite indexes tailored for specific analytical query patterns reduced reporting latency from 8 seconds to 120 milliseconds.

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