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All lessons in Digital and Web Analytics Lesson 1.3 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

Connecting analytics to business objectives and KPIs

Your roadmap for this lesson

  • How executives, managers, and specialists use data
  • The chain from objective to goal to KPI to metric
  • The difference between a metric and a KPI

Short answer

A KPI, or key performance indicator, is a metric chosen because it shows progress toward a business goal. The chain runs from business objective to goal to KPI to supporting metrics. All KPIs are metrics, but not all metrics are KPIs. Before opening any report, write down the decision the data should inform.

Analytics at every level

  • Executives decide where to invest, using revenue, growth, and return on ad spend.
  • Marketing managers decide which channels and campaigns to scale or cut.
  • Specialists decide which page, ad, or email to fix next.

A useful habit: before opening a report, write down the decision the data should inform. Data with no decision attached is just numbers.

From objective to metric

Business objective → Goal → KPI → Metric

  • Objective: grow online sales.
  • Goal: increase online sales by 20% this quarter.
  • KPI: e-commerce conversion rate and revenue.
  • Supporting metrics: sessions, add-to-cart rate, checkout completion.

Try it: your KPI chain

Quick quiz

1. Which statement is true?
2. A store wants more online sales. Which is the best KPI?

Your action

Key terms

Metric
Any number you can measure, like sessions or clicks.
KPI
A metric that tracks progress toward a business goal.
Business objective
What the business wants, in plain words.
Supporting metric
A metric that explains why a KPI moved.

Questions beginners ask

How many KPIs should I track?

Usually 1 to 3 per goal. Too many KPIs means none of them gets attention.

Is website traffic a KPI?

Only if the goal is reach or awareness. For sales goals, it is a supporting metric.

Related lessons

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