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: Marketing
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Understanding the Agentic Revolution in Media Buying
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Panel research has quietly revolutionized how marketers understand consumer behavior, transitioning from mail-in surveys and diary studies to sophisticated digital ecosystems that track billions of transactions in real-time. As marketing measurement becomes increasingly complex and privacy regulations reshape data collection, panel research offers a unique window into actual consumer behavior that complements and often surpasses…
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The integration of artificial intelligence into SEO workflows represents one of the most significant advances in digital marketing efficiency and effectiveness. While the impact of AI on organic search traffic has created new challenges for marketers, AI also provides unprecedented opportunities to enhance SEO performance through intelligent automation, advanced analysis, and content optimization at scale.…
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Every business faces the same fundamental question: How much is a customer really worth? While acquiring new customers often gets the spotlight, the real goldmine lies in understanding and maximizing the value of your existing customer base. This is where Customer Lifetime Value (LTV) becomes your strategic compass. Understanding LTV: Beyond the Buzzword Customer Lifetime…
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Conversion lift studies represent a fundamental shift in how we measure marketing effectiveness—from correlation to causation, from assumptions to evidence
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In today’s data-driven business landscape, poor data quality isn’t just an inconvenience—it’s a strategic liability. As we explored in our previous discussion on the true cost of poor data quality in digital marketing, organizations lose an average of $12.9 million annually due to data quality issues. The solution? A robust data quality framework that transforms…
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In digital marketing, data drives every decision—from campaign targeting to budget allocation to performance measurement. Yet many organizations operate with a dangerous blind spot: the hidden costs of poor data quality. While marketers obsess over click-through rates and conversion optimization, bad data silently erodes millions in marketing spend, destroys customer trust, and creates cascading failures…
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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 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.