Google Foundations of Digital Marketing and E-commerce Notes

30 mins

Review Course 1 of Google’s Digital Marketing & E-commerce Certificate: marketing roles, customer journeys, strategy, channels, and measurement, with supplementary metric practice.

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Map: Summary

Read the summary for the big picture, then scan the mind map to see how the topics connect.

Review Course 1’s foundations, journey, strategy, and measurement concepts, with clearly labeled supplementary metric practice.

Course 1, Google’s Foundations of Digital Marketing and E-commerce, connects the roles and goals of the field to customer journeys, funnel stages, channel strategy, and performance measurement. The practical thread is to define the audience and desired marketing outcome first, then select channels and metrics that fit the goal and explain their limits.

Key points

  • Digital marketing attracts and engages customers through online channels; e-commerce supports online product discovery, purchase, fulfillment, and store performance.
  • A customer journey describes needs and touchpoints; a funnel is a simplified model of progression from awareness through loyalty.
  • A journey map should be grounded in customer research and observed behavior, not assumed feelings.
  • Choose channels after defining the business goal, marketing objective, audience, message, budget, and destination experience.
  • Paid, owned, and earned media describe different ways content reaches people and can overlap in one campaign.
  • This guide uses SEM for paid search and SEO for unpaid search visibility; display, social, email, and e-commerce content serve different channel roles.
  • Select KPIs to track a specific objective, then define their counting rules, denominator, time window, segment, and attribution rule before launch.
  • Supplementary calculations distinguish conversion events from converting sessions or users; all ratio denominators must be positive.
  • ROAS compares attributed revenue with ad spend; it does not measure profit.
  • Attribution assigns credit according to a model; it does not by itself establish incremental impact.
  • A data story includes context, change versus baseline, uncertainty, and a practical next action.

Common traps

  • Treating digital marketing and e-commerce as interchangeable.
  • Assuming every customer follows the same linear funnel.
  • Choosing channels before learning about the audience and objective.
  • Comparing rates that use different counting definitions, denominators, or reporting-window lengths.
  • Treating a click-based conversion-event rate as the percentage of unique people who purchased.
  • Dividing partially attributed revenue by an unrelated count of complete orders to calculate AOV.
  • Treating impressions as unique people or clicks as purchases.
  • Calling ROAS profit or CAC comparable without defining included costs.
  • Treating attribution credit as proof that a campaign caused the sale.
  • Reporting a metric without explaining what decision it should inform.

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