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2 examples of User Engagement metrics and KPIs

What are User Engagement metrics?

Identifying the optimal User Engagement metrics can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.

Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.

Find User Engagement metrics with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.

Examples of User Engagement metrics and KPIs

Metrics for User engagement

  • 1. Average Session Duration

    The average time a user spends on the app or website during a single session

    What good looks like for this metric: 2-3 minutes

    Ideas to improve this metric
    • Enhance content quality
    • Simplify navigation
    • Use engaging media like videos
    • Implement interactive elements
    • Regularly update content
  • 2. Pages Per Session

    The average number of pages viewed during a single session

    What good looks like for this metric: 2-3 pages

    Ideas to improve this metric
    • Improve internal linking
    • Use engaging calls-to-action
    • Create content series
    • Offer related content
    • Optimise page load times
  • 3. Bounce Rate

    The percentage of visitors who navigate away from the site after viewing only one page

    What good looks like for this metric: 40-55%

    Ideas to improve this metric
    • Improve page loading speed
    • Use compelling headlines
    • Improve mobile optimisation
    • Add engaging multimedia
    • Enhance user experience design
  • 4. Returning User Rate

    The percentage of users who revisit the app or website

    What good looks like for this metric: 30-50%

    Ideas to improve this metric
    • Offer loyalty programmes
    • Send regular updates or newsletters
    • Personalise user experience
    • Implement retargeting ads
    • Regularly update content
  • 5. User Interaction Rate

    The ratio of users who actively engage with interactive elements (e.g., likes, shares, comments)

    What good looks like for this metric: 1-3%

    Ideas to improve this metric
    • Create engaging posts
    • Incorporate social sharing buttons
    • Host contests or challenges
    • Use call-to-action prompts
    • Respond actively to user comments

Metrics for Data Quality And Engagement

  • 1. Data Accuracy Rate

    Percentage of data correctly recorded as intended.

    What good looks like for this metric: 95% or higher

    Ideas to improve this metric
    • Implement validation rules for data entry
    • Regularly audit data for errors
    • Provide training for staff on data entry best practices
    • Use automated tools to correct data inaccuracies
    • Ensure regular updates and maintenance of databases
  • 2. Data Completeness Rate

    Percentage of data records that are complete and not missing information.

    What good looks like for this metric: 90% or higher

    Ideas to improve this metric
    • Mandate complete entries in forms
    • Conduct regular checks for missing data
    • Simplify data entry processes
    • Provide feedback to team on completeness levels
    • Use data profiling tools to identify gaps
  • 3. Bounce Rate

    Percentage of visitors who navigate away from a site after viewing only one page.

    What good looks like for this metric: 26% to 40%

    Ideas to improve this metric
    • Improve page load speed
    • Enhance user experience with intuitive navigation
    • Use engaging and relevant content
    • Implement calls to action and internal linking
    • Utilise targeted landing pages
  • 4. Error Rate

    Frequency of errors or discrepancies encountered in data processing.

    What good looks like for this metric: Less than 3%

    Ideas to improve this metric
    • Conduct frequent error checks and audits
    • Use advanced tools for error detection
    • Provide continuous training for personnel
    • Develop a robust data quality management plan
    • Automate error reporting and correction processes
  • 5. Data Validity

    Extent to which data entries meet specific rules, constraints, and requirements.

    What good looks like for this metric: 98% adherence to requirements

    Ideas to improve this metric
    • Define clear and specific data entry rules
    • Implement constraints during data collection
    • Regularly update validation protocols
    • Ensure compliance with data standards
    • Utilise software that flags invalid entries

Tracking your User Engagement metrics

Having a plan is one thing, sticking to it is another.

Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

Tability Insights DashboardTability's check-ins will save you hours and increase transparency

More metrics recently published

We have more examples to help you below.

Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

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