Diagram showing twelve months before joining, a highlighted join date and twelve months after joining, above a note that member versus non-member does not equal causation.
A before-and-after comparison on the same customer answers a question that member-versus-non-member cannot.Graphic: Cinemas in Action
Explore/Measurement guideCommercial results

Members visit more often. But did membership cause it?

Cineplex reports that CineClub members visit four times more often than non-members. That comparison is the wrong shape for a decision about whether membership changes behaviour — here is a better one.

Published 8/17/2026

Operator Briefing

The idea

Measure the same customer before and after joining, rather than comparing members with non-members.

Evidence

Operator-reported membership results. Cineplex reports scale and relative frequency; incrementality has not been demonstrated.

Operator takeaway

People who already like cinema are more likely to buy a subscription, so member-versus-non-member gaps overstate what membership did.

Try this

Pull twelve months of visit history before each join date and twelve months after, and compare with a matched non-member group of similar prior frequency.

Measure

Visits before and after joining, admission and F&B contribution, benefit usage, discount displacement, churn, cohort retention and incremental contribution after benefit cost.

Watch out for

Reading stated benefit value as operator cost, and counting discounts on visits the customer would have made at full price anyway.

What they are doing

Cineplex reports that CineClub has more than 250,000 members, has operated since 2021, has generated C$88 million in stated member-benefit value, and that members visit four times more frequently than non-members.

Why it caught our attention

This is the most common measurement pattern in cinema membership, and the most commonly over-read. Operators compare members with non-members, find a large gap, and treat the gap as the return on the programme.

How it works

Selection explains much of the gap. People who already attend often are the people most likely to buy a subscription, so a frequency difference between members and non-members is partly a description of who joined, not of what joining did. The better question is how a customer's behaviour changed after joining.

What another cinema might adapt

Track twelve months before the join date, the join date itself, and twelve months after. Then compare that change with a roughly matched non-member group of similar previous frequency over the same period, so that seasonality and film supply affect both groups equally.

Questions to consider

How much of your member frequency existed before the customer joined? What proportion of member discounts were applied to visits that would have happened anyway? What does a member contribute after the cost of their benefits?

What could be measured

Visits before joining, visits after joining, admission contribution, food and beverage contribution, benefit usage, discounts that would otherwise have been full price, churn, cohort retention and incremental contribution after benefit cost.

What is currently known

Cineplex has published membership scale, programme duration and a stated member-benefit value. Those are operator-reported figures from a corporate source.

What has not yet been reported

C$88 million is described as member-benefit value; it should not be presented as Cineplex's economic cost. The four-times-frequency statistic demonstrates a correlation between membership and attendance, and the published figures do not establish that membership caused the additional visits.

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