Context
Introduction
Digital marketing firms increasingly rely on user engagement data to optimize ad performance, but without observability into how data flows and changes across systems, ad targeting can become inefficient or biased.
Role
The learner is a junior data analyst on OptiReach’s campaign optimization team.
They are responsible for analyzing historical ad engagement metrics to flag anomalies, identify patterns, and suggest improvements to the company’s targeting algorithms.
Business Objectives
Find a way to monitor data quality
The goal is to evaluate why certain ad campaigns are underperforming by exploring engagement data and uncovering any patterns that suggest breakdowns in observability.
The learner’s familiarity with ad metrics, basic statistical tools, and system-level thinking equips them to uncover both data-driven and infrastructural issues.
Products
The product is a campaign diagnostics report with visualizations of ad performance trends and a set of proposed data observability metrics to monitor moving forward.
Codebook
Dataset
License
Not Provided
Tags
Data Provenance
