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Marketing

Campaign Performance System

Digital Marketing Agency

The Problem

  • A mid-size digital markrting agency managed campaigns across Meta, Google, TikTok, Klaviyo, and GA4
  • Data lived across Google Ads, Facebook, LinkedIn, email platforms, and CRMs
  • Analysts spent 30+ hours/week pulling reports, normalizing metrics, and explaining data to clients
  • Insights were lagging, errors were common, and team bandwidth limited growth

The Solution

  • We built an Automatic analytics engine
  • Unified data model normalizing cost, ROAS, MER, LTV, impressions, CAC, and creative performance
  • Forecasting model predicting spend burn rate, diminishing returns, and scaling windows
  • AI-powered insights highlight opportunities and flag underperforming campaigns
  • AI insights layer that generated client-facing reports automatically

The Outcomes

Reporting Time

30hrs/week → 2hrs/week

Operational Efficiency

They handled 3x more clients

Client Retention

+25% due to transparency and speed

Technologies Used

Klaviyo APIGoogle Ads APIFacebook Ads APIAI Insights EnginePythonNext.js

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