Hi, Skin July Sprint

Booking Funnel Conversion Test

One insight from reviewing the booking experience is that appointment presentation may influence booking funnel conversion. We recommend measuring this during the pilot before considering any scheduling UI changes.

This operates behind the scenes. Studio teams are not required to log into, manage, or learn a new software platform.

Scientific Method

Are clients abandoning because Hi, Skin lacks capacity, or because available capacity is not being presented in a way clients can say yes to?

Hypothesis

Changing the presentation of appointment inventory increases Booking Funnel Conversion Rate without materially increasing labor cost.

Independent variable

How appointment availability is presented.

Dependent variable

Booking funnel conversion rate.

Primary KPI

This is the one metric July is trying to move. Everything else explains why it changed.

Booking Funnel Conversion Rate

Completed bookings / booking funnel visitors

Test Design

Two studios

One slow day per week

Two to four weeks

No new promo, added providers, added shifts, shortened services, or pricing change

Compare current availability presentation vs enhanced visible start-time options, where operationally feasible

Secondary KPIs

These explain why booking funnel conversion moved.

Utilization

Revenue per labor hour

Booking abandonment

Waitlist captures

Human-assisted recovery rate

Guardrail Metrics

If these deteriorate, stop the experiment.

Labor %

Overtime

Checkout wait time

No-show rate

Provider/studio feedback

Slow-Day / Peak-Day Rule

Slow day

Increase booking choice, fill unused capacity, improve utilization.

Peak day

Protect capacity, capture overflow, use waitlist / alternate studio / human assist.

Outcomes

Best case

Booking funnel conversion improves, utilization improves, revenue per labor hour increases, and labor cost remains flat.

Worst case

No meaningful lift. The team learns this is not the primary bottleneck and stops before creating operational disruption.

Realistic outcome

Slow days benefit from enhanced availability presentation. Peak days benefit more from waitlist and human-assisted recovery.