Course Analytics

The HoopAI platform provides multi-layer analytics for your courses and membership content. From a high-level dashboard showing overall performance to granular per-member, per-lesson breakdowns, you have the data you need to understand what is working, where members are dropping off, and how to improve both learning outcomes and revenue.

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Analytics overview

Course analytics are spread across three areas: Navigate to Memberships and Communities > Courses to access all of these views.

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Courses dashboard

The Dashboard tab is the first screen you see when you open the Courses section. It provides an at-a-glance view of your most important metrics:

• Best and worst performing courses — ranked by completion rate or enrollment count
• Revenue (last 30 days) — total revenue from course and membership offer purchases
• Average order value — mean revenue per transaction across all offers
• Enrollment trend — a chart showing new enrollments over the selected time period
• Active members — members who have logged in and completed at least one lesson in the last 30 days

Use the date range selector to compare different time periods side by side.

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Progress analytics

The Progress tab inside Analytics shows completion data across all courses:

• Course-level completion rate — the percentage of enrolled members who have completed all lessons in each course
• Module-level completion — how far members progress through each module before stopping
• Average lessons completed per member — a measure of typical engagement depth
• Drop-off points — the specific lessons or modules where the largest percentage of members stop progressing

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Identifying drop-off points

Sort the lesson completion data by completion rate ascending to find the lessons with the lowest completion rates. These are your drop-off points. Common causes:

• The lesson is too long
• The content is confusing or poorly explained
• The quiz is too difficult and blocks members from continuing
• The drip schedule is too slow and members lose momentum

Once identified, prioritize improving those specific lessons — shortening video length, adding a text summary, lowering a quiz passing threshold, or reducing the drip delay.

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Video watch time

For video lessons hosted directly on the HoopAI platform, the analytics panel reports:

• Average watch percentage — how much of each video members typically watch before stopping or skipping
• Total minutes watched — cumulative watch time across all members for each video lesson
• Watch completion rate — the percentage of members who watch past the completion threshold (e.g. 80%)

Low average watch percentages on a specific lesson are a direct signal that the content needs attention — either the topic is less relevant or the presentation style is not landing.

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Assessment analytics

The Assessments tab shows quiz performance data across all courses:

• Pass rate per quiz — the percentage of members who achieve the passing score on the first attempt
• Average score — the mean score across all member attempts
• Score distribution — a histogram showing how scores cluster (e.g. most members scoring 70–80%)
• Retake rate — how many members required more than one attempt to pass
• Common wrong answers — for multiple-choice questions, the answer options members choose most when they get a question wrong

Use assessment analytics to refine your quizzes. If more than 40% of members fail a quiz on the first attempt, review whether the question wording is clear, the material was covered sufficiently in the preceding lessons, or the passing threshold is set too high.

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Revenue analytics

The Revenue tab tracks financial performance of your courses and membership offers:

• Total revenue — gross revenue from all offer purchases in the selected time period
• Revenue by offer — a breakdown showing which offers generate the most income
• Revenue by course — when courses are sold individually, shows which content drives the most sales
• New vs recurring revenue — separates first-time purchases from recurring subscription charges
• Refunds — tracks refund transactions and the net revenue impact

Export revenue data as a CSV from the Revenue tab for use in your accounting or financial reporting tools.

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Member data analytics

The Member Data tab provides a record of every enrolled member across all courses:

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Filtering member data

Use filters to segment the member data view:

• By course — show members enrolled in a specific course only
• By completion status — filter for members at 0%, 1–99%, or 100% completion
• By date range — focus on members who enrolled or were last active in a specific window
• By offer — filter by the offer used to access the content

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Exporting member data

Click Export in the Member Data tab to download a CSV of the filtered dataset. The export includes all columns visible in the tab. Use this data to:

• Identify members who have stalled and trigger a re-engagement automation
• Report on cohort outcomes to sponsors or stakeholders
• Reconcile enrollment records with payment data

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Using analytics to trigger automations

Connect your analytics insights to automated actions: Build these workflows in Automation using the course progress triggers: Lesson Completed, Assessment Passed, Assessment Failed, and Course Completed.

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Frequently asked questions