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All lessons in Digital and Web Analytics Lesson 4.5 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

Connecting tools and choosing the right stack

Covered here

  • The most useful analytics integrations
  • Recommended tool stacks by business type
  • How to choose a tool

Short answer

Connected tools give a fuller picture. Link GA4 with Google Ads, Search Console, BigQuery, your CRM, and Looker Studio so cost, search, behavior, and sales sit together. Choose your tool stack based on business size, budget, technical skill, privacy needs, and how well it fits the tools you already use.

Common integrations

  • GA4 + Google Ads: import conversions, share audiences, see ad cost next to site behavior.
  • GA4 + Search Console: view search queries alongside on-site behavior.
  • GA4 + BigQuery: export raw data for advanced analysis.
  • Analytics + CRM: connect website leads to closed sales and revenue.
  • Analytics + Looker Studio: build shareable dashboards.

Consistent UTM tagging and shared naming keep data aligned across platforms.

Choosing a tool

Business needSuitable tools
Small business, limited budgetGA4, Search Console, Looker Studio, Microsoft Clarity
Mid-sized e-commerceGA4, GTM, Shopify analytics, heatmap tool
Product and app analyticsMixpanel, Amplitude
Large enterpriseAdobe Analytics, GA4 360, data warehouse, BI tools
Privacy-first organizationMatomo, Plausible

Quick quiz

1. A small café with a website and Instagram should start with...
2. Why connect analytics to a CRM?

Your action

Key terms

Integration
A connection that shares data between tools.
BigQuery
Google's data warehouse for raw analytics data.
Looker Studio
Google's free dashboard tool.
Tool stack
The set of tools a business uses together.

Questions beginners ask

What is the cheapest good stack?

GA4, Search Console, Looker Studio, and Microsoft Clarity. All are free.

Why connect the CRM?

It links website leads to closed sales, so you see real revenue per channel.

Related lessons

Want someone to set up your analytics and reporting while you learn? The team at Remar Digital can help.