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Business Goal: Improve Profit Per Class
Tool Used: Class Economics Tool

Scenario:
Emily, owner of a two-location barre studio in Chicago, noticed her most popular class—Wednesday at 6pm—was always packed but never seemed to move the needle financially.

What Was Discovered:
Using the Class Economics Tool, Emily learned that despite high attendance, the class was losing money. The instructor had one of the highest rates, most clients were attending on discounted intro offers, and the time slot aligned with peak facility overhead.

Decision Made:
Emily reassigned a lower-cost instructor, nudged intro-offer users into recurring memberships earlier, and adjusted the class time to better align with operational costs. The result was a noticeable boost in per-class profitability—without reducing class size.

Business Goal: Create Smarter Pricing Packages
Tool Used: Pricing Strategy Tool

Scenario:
Jared, who owns a HIIT studio in Denver, was concerned that too many clients were choosing an “unlimited monthly” pass meant for high-frequency users, even though most weren’t using it that way.

What Was Discovered:
The Pricing Strategy Tool revealed that the unlimited pass had the lowest revenue per visit of any option—and was cannibalizing more premium memberships. Worse, it attracted deal-seekers who churned faster.

Decision Made:
Jared retired the unlimited pass and introduced a tiered membership structure with clearer value at each level. He also added session caps to match usage behavior. This move increased monthly recurring revenue and stabilized client retention.

Business Goal: Project Revenue Impact of Pricing Changes
Tool Used: Revenue Simulator

Scenario:
Maya, who runs a yoga studio in Southern California, was considering a $5 price increase across all class packs but feared losing loyal members.

What Was Discovered:
With the Revenue Simulator, she modeled different scenarios: a 3%, 5%, and 10% client loss. Each scenario still showed a net increase in revenue—even at the higher attrition rates.

Decision Made:
Confident in the data, Maya implemented the price change and communicated it with transparency to her community. The actual client loss was under 2%, and revenue grew steadily in the following months.