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Class Economics Scenarios

Rank your top-performing classes, see which ones drive the most revenue, and identify low-margin sessions you might want to adjust

Kevin Gregor avatar
Written by Kevin Gregor
Updated over a week ago

Maya boosted weekly revenue by 22% after promoting her top three class times. Elena cut $400/month in losses by removing midday duds. Sofia increased fill rates by 30% just by reshuffling instructor times — all thanks to FitGrid’s Class Economics.

Identify High Performing Class Times

Maya

Understand which classes are driving the most revenue per class

Maya runs a high-intensity interval training studio and wants to double down on the class times that generate the most revenue per session. She opens FitGrid’s Class Economics Analyzer to identify which class slots consistently drive the highest dollar value. With just four data points, she’s able to rank her schedule and spot clear winners for promotion and possible expansion.

Scenario Implementation

  1. Open the Class Economics Analyzer
    Maya logs into FitGrid and selects the Class Economics Analyzer from her Business Performance tools.
    ​

  2. Sort by Average Revenue per Class
    She clicks the “Avg Revenue per Class” column header to sort from highest to lowest. This instantly shows which class times are bringing in the most money.
    ​

  3. Review Supporting Metrics
    For each high-revenue class, Maya checks:

    1. Average Clients Per class

    2. Average Returning Clients Per class

    3. Average Fill Rate (to confirm high revenue isn't due to one-off anomalies)
      ​

  4. Flag Top Performers
    ​    She identifies three standouts:

    1. Monday 6:30 PM: $165/class, 16 clients, 12 returning, 85% fill

    2. Wednesday 7:00 AM: $152/class, 14 clients, 10 returning, 90% fill

    3. Saturday 9:00 AM: $147/class, 15 clients, 13 returning, 95% fill
      ​

  5. Decide on Action Steps
    ​    Maya plans to:

    1. Promote these top classes in her marketing

    2. Add similar time slots with the same instructors or formats

    3. Offer referral bonuses tied to these specific classes
      ​

  6. Final Summary: What Was Revealed - By using the Class Economics Analyzer, Maya ranked her classes by revenue and found that three sessions consistently generated $145–$165 per class, with strong client retention and fill rates. She now has a clear roadmap to scale what’s working best — without needing any profitability data or additional tools.

Identify Unprofitable or High-ROI Class Times

Elena

Optimize schedule by cutting or shifting low-margin classes.

Elena owns a fitness studio and wants to streamline her class schedule to improve profitability heading into a tighter season. She knows some class times are underperforming but needs data to confirm which to cut, shift, or double down on. Using FitGrid’s Class Economics Analyzer and Instructor Profit Calculator, she uncovers which classes draw strong revenue and which are dragging down margins.

Scenario Calculations:

  1. Open the Class Economics Analyzer
    ​    Elena logs into FitGrid and selects the Class Economics Analyzer from her Business Performance tools.
    ​

  2. Review Class-Level Metrics
    ​    She filters by class time and reviews key indicators:

    1. Average Clients per Class

    2. Average Returning Clients per Class

    3. Average Fill Rate

    4. Average Revenue per Class
      ​

  3. Identify Red Flags
    ​    Elena spots that her 2:00 PM weekday classes average just 4 clients, only 1.5 are returning, have a 25% fill rate, and generate $38/class — well below her studio’s average of $100+/class.
    ​

  4. Open the Instructor Profit Calculator (if needed)
    ​     To go deeper, she uses the Instructor Profit Calculator to determine:

    1. Instructor pay for those low-performing classes (e.g., $50/class)

    2. Profit or loss per class (e.g., –$12/class for the 2:00 PM slot)

    3. ROI of each instructor in that time block compared to others
      ​

  5. Cross-Compare With High-Performing Times
    ​     She contrasts this with her 5:30 PM weekday slot, which shows:

    1. 15 clients/class, 12 are returning, 80% fill rate, $170 revenue/class

    2. Same instructor pay ($50), but a $120 profit/class
      ​

  6. Make Schedule Optimization Decisions
    ​     Based on the data, Elena decides to:

    1. Cut the 2:00 PM weekday class

    2. Add a second evening class with the high-performing instructor

    3. Consider shifting underutilized classes to weekend or evening times to test new behavior
      ​

  7. Final Summary: What Was Revealed
    ​     Using the Class Economics Analyzer and Instructor Profit Calculator together, Elena learned that some mid-day classes were actually losing money, while certain evening time slots delivered 3× the revenue and 5× the retention. With this insight, she’s able to increase profitability without adding more classes, just by optimizing the schedule.

Evaluate Class Formats

Priya

Compare profit across class types (e.g., barre, strength, yoga).

Priya runs a yoga studio and wants to understand whether vinyasa or restorative classes are more financially valuable to her business. Since her Class Economics Analyzer shows revenue but not profitability, she compares attendance, retention, and revenue per class across both formats. To complete the picture, she uses the Instructor Report to check if one format tends to use higher-paid instructors.

Scenario Calculations:

  1. Open the Class Economics Analyzer
    ​    Elena logs into FitGrid and selects the Class Economics Analyzer from her Business Performance tools.
    ​

  2. Group Classes by Format Type (Vinyasa vs. Restorative)
    ​    She scans class names for keywords like “Vinyasa” and “Restorative” and creates two groups manually.
    ​

  3. Calculate Format-Level Averages
    ​    She averages the metrics across each format group:
    ​

    1. Vinyasa Yoga (4 classes):

      1. Avg. clients: 16

      2. Avg. returning clients: 13

      3. Avg. fill rate: 85%

      4. Avg. revenue per class: $160
        ​

    2. Restorative Yoga (3 classes):

      1. Avg. clients: 10

      2. Avg. returning clients: 7

      3. Avg. fill rate: 55%

      4. Avg. revenue per class: $95
        ​

  4. Open the Instructor Report to Check Pay Patterns
    ​    Priya switches to the Instructor Report and filters by class format or instructor name to determine typical pay rates:
    ​

    1. Vinyasa instructors are paid $55/class

    2. Restorative instructors are paid $40/class
      ​

  5. Estimate Profit per Format Type

    1. Vinyasa profit estimate: $160 – $55 = $105/class

    2. Restorative profit estimate: $95 – $40 = $55/class
      ​

  6. Final Summary: What Was Revealed
    By combining the Class Economics Analyzer with the Instructor Report, Priya discovered that vinyasa classes not only generate more revenue but deliver nearly double the profit per session compared to restorative yoga. She now knows which format to prioritize in her marketing and scheduling decisions.

Instructor Time Synergy

Scenario Overview

See which instructors perform best at certain times and adjust the schedule accordingly.

Scenario Details

Sofia owns a group fitness studio and wants to know which instructors are the best fit for specific time slots — especially during slower hours. She uses FitGrid’s Class Economics Analyzer to compare how each instructor performs at different times of day based on attendance, retention, fill rate, and revenue. Her goal is to optimize the schedule by placing the right instructor in the right slot to boost class performance.

Scenario Calculations:

  1. Open the Class Economics Analyzer

    Sofia logs into FitGrid and opens the Class Economics Analyzer in her Business Performance dashboard.
    ​

  2. Scan Class Listings for Instructor and Time Block Patterns
    ​    She looks at recurring classes and notes both the instructor names and class times in each entry — for example:

    1. Strength – Tuesday 9 AM – Coach Jess

    2. Cardio – Wednesday 5 PM – Coach Mike
      ​

  3. Group Classes by Instructor and Time
    ​    Sofia creates a simple breakdown like:

    1. Coach Jess – Mornings (7–11 AM)

    2. Coach Jess – Evenings (5–8 PM)

    3. Coach Mike – Mornings

    4. Coach Mike – Evenings
      ​

  4. Compare Metrics Across Time Blocks
    ​    She reviews the following for each instructor/time combo:

    1. Average Clients per Class

    2. Average Returning Clients per Class

    3. Average Fill Rate

    4. Average Revenue per Class
      ​

  5. Example finding:

    1. Coach Jess averages 17 clients and $165/class in the morning, but only 8 clients and $70/class in the evening

    2. Coach Mike shows the opposite: underperforms in the morning, overperforms after 5 PM
      ​

  6. Make Scheduling Decisions
    ​    Sofia adjusts her schedule to:

    1. Keep Coach Jess in prime morning slots

    2. Move Coach Mike to more evening sessions

    3. Free up underperforming time blocks for experimentation with other instructors
      ​

  7. Final Summary: What Was Revealed

    By using only the Class Economics Analyzer, Sofia discovered a clear instructor-time synergy: Coach Jess excelled in mornings, while Coach Mike drew stronger evening crowds. This insight allowed her to realign her schedule based on performance — without needing to calculate profitability or check instructor pay.

Maximize Studio Utilization

Scenario Overview

Spot underused time blocks for repurposing (e.g., privates, workshops).

Scenario Details

Carla runs a boutique Pilates studio and wants to make better use of her midday hours, which often feel like dead space. She opens FitGrid’s Class Economics Analyzer to find out which time blocks consistently underperform in attendance and revenue. Her goal is to repurpose those hours for private sessions or revenue-generating workshops.

Scenario Calculations:

  1. Open the Class Economics Analyzer
    ​    Carla logs into FitGrid and navigates to the Class Economics Analyzer in her Business Performance tools.
    ​

  2. Sort Classes by Time of Day
    ​    She scans the class list and organizes it by time blocks (e.g., early morning, mid-morning, midday, afternoon, evening).
    ​

  3. Analyze Midday Classes Specifically
    ​    Carla focuses on the 11 AM–2 PM window and reviews metrics for each class in that range:

    1. Average Clients per Class

    2. Average Returning Clients per Class

    3. Average Fill Rate

    4. Average Revenue per Class
      ​

  4. Spot Underused Time Blocks
    ​    She finds that multiple classes during midday (e.g., Tuesday and Thursday 12 PM) have:

    1. 3–4 clients per class

    2. <30% fill rate

    3. $45–$60 revenue/class
      ​       In contrast, evening classes average 15+ clients and over $150 in revenue.
      ​

  5. Make Strategic Adjustments
    ​    Carla decides to remove two underperforming midday classes and replace them with:

    1. 1-on-1 private training

    2. Small group reformer workshops priced at a premium
      ​

  6. Final Summary: What Was Revealed
    ​    The Class Economics Analyzer helped Carla identify that midday classes were dramatically underutilized, generating less than half the revenue of other time blocks. With clear data, she confidently repurposed that space for higher-margin offerings — no profitability calculator required.

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