Adman Analytics
Thoughts on marketing analytics
recent posts
- A Structured SQL Framework for Marketing Analytics: Building Scalable Query Architecture
- Did Google Just Take the Lead in AI? Yup.
- Practical Data Visualization with Seaborn: Analyzing Superstore Sales Data
- Introduction to Seaborn: Beautiful Statistical Visualizations in Python
- Google Search “Preferred Sources”
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Category: Analytics
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Let me walk you through several practical examples that demonstrate key database modeling concepts in action.
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Writing efficient and maintainable SQL queries is a critical skill for anyone working with databases. Whether you’re a beginner or looking to refine your approach, understanding best practices can dramatically improve your query performance, readability, and reliability. This guide will walk you through essential principles with practical examples you can try yourself. Understanding the Foundation…
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If you’ve spent any time in analytics, you’ve probably heard the same complaints over and over: “We have tons of data but can’t access it.” “Why do these two reports show different numbers for the same metric?” “Can’t we just make this easier?” Sound familiar? That’s because these problems have existed for decades. And honestly,…
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Structural Equation Models offer several advantages over basic regression: Latent Variables – SEM can model unobservable constructs like “brand awareness” or “purchase intent” that mediate between impressions and conversions Multiple Dependent Variables – Instead of just modeling conversions, you can model the entire funnel (impressions → clicks → conversions) simultaneously Measurement Error – SEM accounts…
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Building a Marketing Mix Model: A Data-Driven Approach to Attribution
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For businesses focused on measuring paid advertising effectiveness, the last paid click attribution model is an essential tool.
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Six Sigma provides a structured framework for identifying problems, analyzing data, and implementing lasting solutions