Case studies
What the work
actually looks like.
Three representative engagements, each structured the same way: the situation, what we built, and the result.
Representative engagements based on the work we do and the results this work typically produces.
Connecting website behaviour to bookings
improvement in new-member LTV-to-CAC within two quarters
- Attribution
- BigQuery
- Meta
Situation
A studio was spending across Meta, Google, and referral but couldn't tell which channels produced members who stuck around, not just which produced sign-ups. So budget kept flowing to the cheapest lead, regardless of whether those people stayed.
What we built
We tied front-end CMS and website behaviour to the back-end booking platform, creating a single view from first website touch, to first class, to lifetime value. Every channel could now be judged on the members it produced, not the clicks.
Result
Spend was reallocated away from the cheapest-lead channel toward the highest-LTV channel.
Automated Mariana Tek sync for live dashboards
efficiency in reactivation spend vs. cold acquisition
- Data Sync
- Mariana Tek
- Klaviyo
- Snowflake
Situation
A multi-location operator was exporting data from Mariana Tek by hand every month. Dashboards were always stale, and ad audiences were built manually, late, and inconsistently across locations.
What we built
Automated, ongoing sync from Mariana Tek into a warehouse feeding live dashboards, plus auto-refreshing Meta and Klaviyo audiences, including lapsed members, high-value members, and trial non-converters, rebuilt on a schedule.
Result
The manual export work disappeared, dashboards stayed live, and reactivation spend went to audiences that were always current.
Pre-churn detection & intervention
reduction in voluntary churn among flagged members
- Lifecycle
- Klaviyo
- Mariana Tek
Situation
Cancellations always arrived as a surprise. By the time a member emailed to cancel, they were already gone, mentally checked out weeks earlier, with no signal anyone acted on.
What we built
An attendance-decay signal that flags members whose frequency is dropping (say, 3×/week down to 1×/week), feeding an automated win-back sequence triggered before cancellation, not after.
Result
At-risk members were reached 3–4 weeks before they would have cancelled, while there was still a relationship to save.
Recognise your studio in any of these?
Most owners see at least one. Let's talk about which one is costing you the most right now.