“You’ve visited 3 times this month. Ready to book your next session?”
It might arrive via email, WhatsApp, or push notification.
Different channel. Same logic.
It looks personalised.
It isn’t.
The illusion of progress
Operators today have access to more data than ever before:
- Attendance patterns
- Class bookings and no-shows
- Programme participation
- Access and usage data
On the surface, it feels like personalisation should be improving.
But for many members, the experience still feels generic.
Not because there isn’t enough data.
But because it isn’t being used in the right way.
Behaviour is easy to see. Harder to understand.
A member stops attending classes.
That could mean:
- They’ve lost interest
- They didn’t enjoy the experience
- They’ve changed their routine
- They’re unsure what to do next
The signal is clear. The meaning isn’t.
This is where most personalisation breaks down.
Because behaviour is often interpreted too literally, without enough context.
And when the interpretation is wrong, the response is either:
- Irrelevant
- Poorly timed
- Or missing altogether
Fragmented systems, fragmented understanding
There’s another challenge.
The data itself is rarely complete.
Across many operators, information sits in different places:
- Membership systems
- Class booking platforms
- Swim school programmes
- Access control systems
Not all of these systems are connected.
Not all activity is visible in one place.
That creates blind spots.
For example:
- A member actively attending swim school but appearing inactive elsewhere
- Access patterns that show regular use, but aren’t reflected in engagement reporting
- Activity that sits outside the “main” system entirely
In some cases, this leads to missed opportunities.
In others, it leads to lost revenue. Because decisions are being made on partial visibility, not the full picture.
Either way, it limits how effective personalisation can be.
Personalisation is not a campaign
Too often, personalisation is treated as a marketing exercise.
A set of campaigns.
A set of messages.
A set of triggers.
But real personalisation isn’t about what you send.
It’s about when and why you act.
The difference is simple:
- A campaign tells members what’s happening
- Personalisation responds to what they’re experiencing
That might mean:
- A timely nudge when behaviour shifts
- A suggestion that fits a changing routine
- Support at the moment it’s needed, not a week later
This is less about volume.
More about relevance.
Why this matters
When personalisation doesn’t land, it creates friction.
Messages feel:
- Generic
- Poorly timed
- Easy to ignore
And over time, members disengage not just from communication…
but from the experience itself.
Because it doesn’t feel like it understands them.
The shift that’s needed
Improving personalisation doesn’t start with more data.
It starts with better interpretation.
That means:
- Looking at behaviour in context, not isolation
- Connecting data across systems, not keeping it siloed
- Acting at the right moment, not just sending more messages
A simple test
Before calling something “personalised”, ask:
Would this still make sense if the member explained their situation back to you?
If the answer is no, it’s not personal.
Because real personalisation isn’t about what you can say.
It’s about how well you understand… and how well you respond.
Its not just about communication. It’s about how the operation itself adapts.
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