The Challenge

Across cinemas, attractions, and entertainment venues, ticket sales are capped, but average spend per visitor isn’t. Increasing in-venue conversion is one of the most effective ways to grow revenue without increasing foot traffic.

A leading cinema chain needed to understand:

• Which visitor journeys actually lead to spend

• How many guests engage with candy bars vs. go straight to the cinema

• Where wait times or layout friction cause drop-off

• How to optimise staffing and signage to support high-conversion paths

• How film genre, session type, and audience profile influence behaviour

The Solution:

Using anonymised re-identification via existing CCTV, Nola delivered:

✅ Individual visitor trajectories from entry to exit

✅ Visits, dwell time, and POS wait time per candy bar unit

✅ Conversion funnels mapped across key behaviours (e.g. entry to candy bar, dwell to purchase, POS abandonment), overlaid with film type, session timing, and audience demographics

✅ No facial recognition. No new hardware. API-ready.