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Digital Marketing Analytics Fundamentals

Gain a strong foundation in marketing analytics by studying how to collect, interpret and apply data from digital marketing activity. This e-learning material develops analytical skills that support better decision-making, campaign evaluation and performance improvement across marketing channels.

Select Your Level

Level: Beginner
Purpose

This level introduces marketing analytics from the beginning: what is being counted, what the common metrics really mean, and why two reports can disagree without either being wrong.

Outcome

You finish able to read a standard marketing report with confidence, explain what each figure counts, and question a number that looks surprising instead of repeating it.

What You'll Learn

  • You study sessions, users and events, conversion definitions, channel groupings, basic report reading, the difference between a metric and a dimension, and common causes of data that looks wrong
Credits 195 CREDITS
Level: Intermediate
Purpose

This level connects analytics to action, covering how a question is turned into an analysis and how the answer is presented so that someone can decide on it. An analysis nobody can act on is treated as unfinished work.

Outcome

You are able to check whether tracking is trustworthy before relying on it, answer a specific business question with data, and present findings so the decision they support is obvious.

What You'll Learn

  • You work through tracking implementation and validation, segmentation, funnel and path analysis, building reports for a specific audience, spotting data quality problems, and documenting definitions so figures stay comparable
Credits 396 CREDITS
Level: Advanced
Purpose

This level develops advanced analytics ability, covering measurement design, the limits of attribution, and how to answer questions the standard reports cannot.

Outcome

You can design a measurement approach rather than accepting a default one, tell a real effect from noise, and state honestly how much confidence a given result deserves.

What You'll Learn

  • You study measurement frameworks, attribution model comparison, incrementality and experiment design, cohort and retention analysis, statistical significance in practice, and joining data from separate systems
Credits 744 CREDITS
Level: Expert
Purpose

This level is written for readers accountable for how an organisation measures marketing, where definitions, tooling and governance decisions affect everyone's reporting.

Outcome

You are able to set measurement standards an organisation works to, choose tooling with the trade-offs understood, and keep reporting credible as privacy rules and platforms continue to change.

What You'll Learn

  • You cover measurement governance, metric definitions and ownership, tooling and data architecture choices, privacy and consent constraints, marketing mix and incrementality programmes, and reporting for board-level review
Credits 981 CREDITS