mkt 3630

User Engagement Metrics

  • User Inactivity

    • Definition of inactivity: Users are considered inactive if they do not interact with the page for more than thirty minutes.
    • Implication of inactivity: If a user is inactive, the session is categorized as a new special, and this inactivity is acknowledged in analysis.

  • Sessions

    • Definition: A session refers to a period during which a user is active on a web page.
    • Criteria for session validation: Users must engage with the page for at least thirty minutes and exhibit movement or interaction within that timeframe.

  • Engagement

    • Importance of active engagement: Merely having an active session is insufficient.
    • Example of engagement:
    • A user who initiates multiple conversations or navigates between different pages (e.g., browsing products) demonstrates tangible interaction with the site.

  • Bounce Rate

    • Definition: The bounce rate represents the percentage of users who leave the page without any meaningful interaction.
    • Context: Users who merely enter the page and exit without engaging contribute to a high bounce rate, flagging limited interest or relevance.

  • Comprehensive Data Overview

    • Relationship between metrics: The discussion of sessions, engagement, and bounce rate provides a collective understanding of user behavior on the webpage.
    • Purpose of data analysis: These metrics help synthesize user interactions to inform reports that align with organizational objectives.

Google Analytics Exploration

  • Activity and Data Analysis

    • Task assignment: Participants are prompted to collaborate in teams to explore a demo version of Google Analytics.
    • Analysis objectives:
    • Examine data examples in the analytics demo.
    • Determine what insights can be drawn from the data.
    • Consider the range of time covered by the information analyzed.
    • Identify the volume of new users and assess effectiveness across various channels.

  • Traffic Acquisition

    • Definition: Traffic acquisition encompasses both new and returning users navigating to the website.
    • Inquiry focus: Where users are sourced from, including origins of new and returning traffic.

  • Team Collaboration

    • Expected outcome: Teams should engage in discussion to compile metrics, clarify questions, and validate findings from the data.
    • Time allocation: Teams should have a designated ten-minute period to meet, review findings, and prepare for further discussion regarding their insights.
    • Availability for questions: Participants are encouraged to ask questions related to the Google Analytics application to facilitate a deeper understanding of the dataset and metrics analyzed.