Summary  
This chapter covers how to implement code that collects, measures, and interprets user interaction data to transform decision-making from intuition-based to data-driven.  

General domain of usage  
Digital marketing analytics

**Digital marketing** analytics is the process of **collecting, measuring**, and **interpreting data** from online activities (website visits, ads, emails, social media interactions) to understand what works, what doesn't, and why.

Definition

Analyzes how people find your content on Google and how visible your website is.

- Keyword rankings
- Impressions
- Click-through rate (CTR)
- Organic traffic

Shows how audiences interact with your brand across platforms like Instagram, TikTok, and Facebook.

-  Likes
- Shares
- Comments
- Reach
- Saves

Measures the performance and efficiency of ads on platforms like Google Ads, Meta, and LinkedIn.

- CPC (Cost per Click)
- CPA (Cost per Acquisition)
- Conversion rate
- ROAS (Return on Ad Spend)

Reveals audience trust and engagement with your email campaigns.

Gain the ability to measure what matters and turn data into actionable insights. Learn how to track performance across channels, interpret key metrics, build dashboards, and use experimentation to optimize campaigns and drive smarter marketing decisions.

Introduction to Digital Marketing Analytics

Key Marketing Channels to Analyze