Digital and Web Analytics
Make marketing decisions with data instead of guesses. Plan what to measure, read GA4 reports, find where customers drop off, and report results in plain language.
- Free, no sign-up
- 32 short lessons
- About 1.5 hours
- 79 hands-on activities
- Beginner level
By the end of this course, you can
- Write a measurement plan with goals, KPIs, and targets
- Read GA4 reports and explain users, sessions, events, and conversions
- Track campaigns correctly with UTM parameters
- Find where visitors drop off in a conversion funnel
- Build a simple dashboard and a monthly report people actually read
Who it is for
- Business owners who want to know which marketing actually brings customers
- Marketers and VAs asked to report results every month
- Students preparing for analytics or digital marketing roles
- Website owners with GA4 installed but unsure what the reports mean
What you need
- A free Google account; the GA4 demo account works if you have no site
- Optional: access to your own GA4 property and Search Console
- A spreadsheet tool such as Google Sheets
How each lesson works
- ReadA 5 to 10 minute lesson in plain language with local examples.
- TryA quiz, tool, or checklist that gives instant feedback.
- ApplyOne small task to do on your own site or account today.
Curriculum
Module 1: Introduction to Digital Analytics
What digital analytics is, the four types of analytics, and how KPIs link data to goals. 3 lessons · about 9 min
- 1.1 What is digital analytics?
What is digital analytics, and how is it different from web analytics? A simple intro to using data for business decisions and smarter marketing spend.
- 1.2 The four types of analytics
The four types of analytics, descriptive, diagnostic, predictive, and prescriptive, each answer a different question. Simple marketing examples for every type.
- 1.3 Connecting analytics to business objectives and KPIs
A metric counts something. A KPI tracks progress toward a business goal. Connect analytics KPIs to objectives and see how each team level uses them to decide.
Module 2: Analytics Data and Measurement Planning
Build a measurement plan, choose channel metrics, and understand data sources, quality, and segments. 4 lessons · about 13 min
- 2.1 How to build a measurement plan
A measurement plan turns goals into numbers: SMART goals, KPIs, targets, and segments, with ready examples for online stores, B2B firms, and local services.
- 2.2 Key metrics for each marketing channel
Marketing metrics by channel, sorted for you: what to watch for organic search, paid ads, social, email, content, and your website, and how to choose a few.
- 2.3 Data sources, collection, and data quality
Analytics data sources explained: first, second, and third-party data, how tracking collects it, and the quality problems that quietly skew your numbers.
- 2.4 Segmentation and personalization
Averages hide problems. Data segmentation in analytics splits users by device, channel, and new vs returning, so you can spot issues and tailor offers.
Module 3: Web Analytics Fundamentals
Users, sessions, traffic sources, landing pages, engagement, and how to read reports. 5 lessons · about 15 min
- 3.1 Users, sessions, page views, and events
Users vs sessions vs page views vs events: what each one counts, why the totals never match, and how the GA4 event-based model ties them together.
- 3.2 Traffic sources, channels, and UTM parameters
UTM parameters tell analytics exactly where a visit came from. Set source, medium, and campaign correctly and see how GA4 sorts traffic into default channels.
- 3.3 Landing pages and user behavior
Landing page analytics shows which pages bring visitors in and how they perform. Add heatmaps and session recordings to see why people stay or leave.
- 3.4 Engagement metrics and conversion metrics
Engagement rate vs conversion rate in GA4: what counts as an engaged session, how bounce rate changed, and why only conversions prove real value.
- 3.5 Reading reports, trends, and anomalies
How to read analytics reports with confidence: dimensions vs metrics, totals vs rates, and a five-step check for sudden drops, spikes, and odd numbers.
Module 4: Analytics Tools and Platforms
GA4, Search Console, Adobe Analytics, Google Tag Manager, and choosing your tool stack. 5 lessons · about 16 min
- 4.1 Google Analytics 4 fundamentals
Google Analytics 4 basics in plain language: properties, data streams, events, key events, and the reports you will open most, all with simple examples.
- 4.2 Google Search Console performance data
The Search Console performance report covers what happens before the click: impressions, clicks, CTR, and position, filling the gap GA4 cannot see.
- 4.3 Adobe Analytics overview
Adobe Analytics vs Google Analytics: what Adobe offers, which big companies use it, how it differs from GA4, and why most small businesses never need it.
- 4.4 Tag management and tracking implementation
Google Tag Manager basics through one example: track a button click with a tag, trigger, and variable, test it in preview mode, and respect consent settings.
- 4.5 Connecting tools and choosing the right stack
Connect GA4 with Google Ads, Search Console, Looker Studio, BigQuery, and your CRM, and pick analytics tools for small business that fit your budget and skills.
Module 5: Conversion Funnels and Optimization
Define conversions, analyze funnels, calculate conversion rate, prioritize fixes, and A/B test. 5 lessons · about 15 min
- 5.1 What is a conversion?
What is a conversion? Any action that moves a visitor closer to buying. Tell macro from micro conversions and map the journey from awareness to loyal customer.
- 5.2 Conversion funnels and drop-off points
Conversion funnel analysis in GA4: build the funnel, measure each step and its drop-off, and find the usual reasons shoppers leave right before checkout.
- 5.3 How to calculate conversion rate
How to calculate conversion rate without fooling yourself: pick the right denominator, compare segments fairly, and know when numbers are too small to trust.
- 5.4 Prioritizing conversion improvements
Too many website fixes and too little time? CRO prioritization with the ICE score rates impact, confidence, and ease, so the best ideas get done first.
- 5.5 Introduction to A/B testing
A/B testing basics in five steps: write a hypothesis, split traffic, wait for enough visitors, check significance, and dodge the mistakes that fake a winner.
Module 6: Digital Marketing Performance Analysis
Measure SEO, paid, social, and content, compare channels, and avoid vanity metrics. 4 lessons · about 12 min
- 6.1 Measuring SEO and paid advertising performance
Measuring SEO and PPC performance side by side: visibility, traffic, and outcomes for organic search, then CTR, CPC, CPA, and ROAS for paid campaigns.
- 6.2 Social, content, and landing page performance
Content performance metrics beyond likes: direct and assisted conversions from posts, plus how source, speed, and message match shape landing pages.
- 6.3 Comparing acquisition channels
Compare marketing channels on the same outcome, not clicks. Read CPA by channel and see how attribution models can crown a different channel the winner.
- 6.4 Evaluating campaigns and avoiding vanity metrics
Four questions for any campaign performance analysis: did it reach its objective, at what cost, compared to what, and which vanity metrics are hiding the truth?
Module 7: Reporting, Visualization, and Insights
Build reports and dashboards, compare periods, and turn data into recommendations. 4 lessons · about 12 min
- 7.1 Building a marketing performance report
A marketing performance report in five parts, with how often to send it and which numbers each reader needs, from the CEO down to the campaign team.
- 7.2 Data visualization and dashboards
A good marketing dashboard answers one question per chart. Match chart types to questions, follow simple design rules, and build one in Looker Studio.
- 7.3 Comparing periods and benchmarking
Month over month, year over year comparison, or vs target? Pick the right one, use the percentage change formula, and treat industry benchmarks with care.
- 7.4 Turning data into actionable recommendations
Going from data to insights takes three questions: What happened, so what, and now what. Turn numbers into recommendations a busy boss will actually act on.
Module 8: Analytics Projects and Practical Assessment
Apply everything in the Isla Coffee case study and complete the final assessment. 2 lessons · about 7 min
- 8.1 Analytics case study: Isla Coffee Co.
A digital analytics case study for a Philippine coffee shop. Plan the measurement, compare channels, spot funnel leaks, and recommend fixes like an analyst.
- 8.2 Final assessment: digital analytics case study
The digital analytics assessment: submit the Isla Coffee case study and presentation, review the 100-point rubric, and plan what to study after this course.
Frequently asked questions
Do I need my own website to follow along?
No. Google offers a free GA4 demo account with real store data, and every hands-on step works there.
Is GA4 hard for beginners?
It feels confusing at first because it counts everything as events. The fundamentals module explains that model in plain words before you open any report.
Will this course teach Data Studio?
Yes, at a beginner level. You will connect data and build a one-page dashboard.
Is there a final project?
Yes. The course ends with a coffee shop case study and a graded assessment you can use as a portfolio piece.
Ready to begin?
Lesson 1.1 takes about 3 minutes. No account needed.
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