Customer and Add-on Analytics
Two drill-downs in the Analytics tab focused on the human side and the upsell side of your business.
Top customers
A list of your top 10 customers in the active period, ranked by revenue or booking count.
For each customer:
- Name + contact
- Number of bookings
- Total revenue
- Average rental duration
- Last seen date
This is what you reach for when:
- Building a VIP / loyalty list
- Picking who to follow up with for testimonials
- Spotting customers who used to book frequently and have churned
Repeat rate
A single number: % of customers in the period who have at least one prior booking (in any earlier period).
A high repeat rate (≥30%) means your retention is healthy. A low repeat rate may mean you're acquiring well but not bringing people back — worth investigating with Lucy's chat surface to see if guest sentiment shifted.
Add-on breakdown
For each add-on you offer (helmet, lock, delivery, GPS, insurance, etc.):
- Attach % — bookings with this add-on ÷ all bookings in the period
- Revenue — total dollars attributable to this add-on
- Avg price — what guests are actually paying (after tier discounts apply if you've configured them per add-on)
- Trend arrow — vs prior period
A high-attach, low-revenue add-on (e.g. helmet, often included free) tells a different story than a low-attach, high-revenue add-on (e.g. damage waiver). Use this to decide whether to bundle, unbundle, or re-price.
Add-on attach rate (headline)
The Analytics tab top section also shows a single Add-on attach rate — bookings with any add-on ÷ all bookings. The breakdown above explains which add-ons drive that number.