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All lessons in Digital and Web Analytics Lesson 3.5 of 32

Module 1: Introduction to Digital Analytics

  1. 1.1What is digital analytics?
  2. 1.2The four types of analytics
  3. 1.3Connecting analytics to business objectives and KPIs

Module 2: Analytics Data and Measurement Planning

  1. 2.1How to build a measurement plan
  2. 2.2Key metrics for each marketing channel
  3. 2.3Data sources, collection, and data quality
  4. 2.4Segmentation and personalization

Module 3: Web Analytics Fundamentals

  1. 3.1Users, sessions, page views, and events
  2. 3.2Traffic sources, channels, and UTM parameters
  3. 3.3Landing pages and user behavior
  4. 3.4Engagement metrics and conversion metrics
  5. 3.5Reading reports, trends, and anomalies

Module 4: Analytics Tools and Platforms

  1. 4.1Google Analytics 4 fundamentals
  2. 4.2Google Search Console performance data
  3. 4.3Adobe Analytics overview
  4. 4.4Tag management and tracking implementation
  5. 4.5Connecting tools and choosing the right stack

Module 5: Conversion Funnels and Optimization

  1. 5.1What is a conversion?
  2. 5.2Conversion funnels and drop-off points
  3. 5.3How to calculate conversion rate
  4. 5.4Prioritizing conversion improvements
  5. 5.5Introduction to A/B testing

Module 6: Digital Marketing Performance Analysis

  1. 6.1Measuring SEO and paid advertising performance
  2. 6.2Social, content, and landing page performance
  3. 6.3Comparing acquisition channels
  4. 6.4Evaluating campaigns and avoiding vanity metrics

Module 7: Reporting, Visualization, and Insights

  1. 7.1Building a marketing performance report
  2. 7.2Data visualization and dashboards
  3. 7.3Comparing periods and benchmarking
  4. 7.4Turning data into actionable recommendations

Module 8: Analytics Projects and Practical Assessment

  1. 8.1Analytics case study: Isla Coffee Co.
  2. 8.2Final assessment: digital analytics case study

Reading reports, trends, and anomalies

Inside this lesson

  • Dimensions vs. metrics
  • A five-step way to read any report
  • What to check first when numbers suddenly change

Short answer

Most analytics reports show dimensions, like page or channel, in rows and metrics, like sessions or conversions, in columns. Check the date range, understand each metric, and weigh volume against rate. When numbers suddenly spike or drop, check tracking first, then seasonality, marketing changes, outside events, and site problems.

Read any report in five steps

  1. Check the date range and comparison period.
  2. Confirm what each metric means.
  3. Sort by the metric that matters most.
  4. Look at both volume and rate (10% conversion on 20 sessions matters less than 3% on 5,000).
  5. Add a secondary dimension or segment to dig deeper.

When something looks unusual

Check in this order:

  1. Tracking: was a tag removed or duplicated? Did the site update?
  2. Seasonality: is this normal for the time of year, holidays, or paydays (15th and 30th)?
  3. Marketing activity: did a campaign start, stop, or change?
  4. External factors: search algorithm updates, news, typhoon days, competitor moves.
  5. Site issues: downtime, broken pages, slow load times.

Always compare against the previous period and the same period last year before drawing conclusions.

Quick quiz

1. Traffic dropped 40% overnight. What do you check first?
2. Which is a dimension?

Your action

Key terms

Dimension
A descriptive attribute, like page or country.
Metric
A number, like sessions or revenue.
Trend
A sustained direction over time.
Anomaly
A sudden, unusual spike or drop.

Questions beginners ask

Traffic dropped 40% overnight. What do I check first?

Tracking. A removed or broken tag is the most common cause of sudden drops.

What period should I compare to?

The previous period and the same period last year.

Related lessons

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