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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Storing semi-structured and unstructured data—such as text, images, video, and audio—is increasingly essential for digital advertising analytics as data sources diversify beyond classic databases. Data lakes and modern data lakehouse architectures are the most effective options for capturing and utilizing this variety of website data, while traditional data warehouses remain limited for unstructured content. Why…
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Introduction Customer Relationship Management (CRM) systems sit at the heart of modern business operations, housing invaluable data about customers, prospects, and business relationships. Yet for many organizations, CRM data remains siloed, underutilized, and disconnected from other critical data sources. This represents both a massive missed opportunity and a significant competitive disadvantage. CRM data engineering—the practice…
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Marketing Data Engineering 101: Building the Foundation for Data-Driven Marketing Introduction In today’s digital landscape, marketing teams are drowning in data. From website analytics and social media metrics to CRM records and advertising platforms, the volume and variety of marketing data have exploded. This is where marketing data engineering comes in—the critical practice of building…
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If you’re managing marketing data pipelines and not using Git, you’re working harder than you need to. While Git won’t store your actual marketing data, it’s become essential infrastructure for managing the code and configurations that power your data flows. Let’s explore why Git has become non-negotiable for modern data teams and how to use…
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Marketing teams today juggle data from dozens of sources—Google Ads, Facebook, email platforms, CRMs, web analytics, and more. Getting this data to flow seamlessly into a central location where you can actually analyze it shouldn’t feel like rocket science. Yet for many businesses, it does. Let’s cut through the complexity and help you choose the…
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Structured Data is a powerful yet often underutilized tool that can dramatically improve your website’s visibility and marketing effectiveness.
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The debate between Common Table Expressions (CTEs) and subqueries isn’t just about personal preference—it’s about writing SQL that is maintainable, performant, and clear in its intent. In this guide, we’ll explore both approaches, understand their strengths and weaknesses, and develop a framework for making the right choice every time.
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The cloud data warehouse becomes the brain, and marketing tools become interchangeable hands.
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If you’re reporting on a SaaS business, you’ve probably dealt with discounts at some point. Maybe they offered them to close a deal faster, win back a churned customer, or compete with a rival. According to industry data, over three-quarters of SaaS companies use discounting as part of their go-to-market strategy. But here’s the problem:…
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There is a new web standard called LLMS.TXT. But what exactly is it, and should you care?