membership retention in the fitness industry: a qualitative study and the development of a...

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Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis- Smythe

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Page 1: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Membership retention in the fitness industry: A qualitative study and the development of a

predictive model

Helen N. Watts

Dr Jan Francis-Smythe

Page 2: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Overview

• Industry background/ the problem

• Research questions

• Approaches/ literatures

• Design/ methodology

• Sampling

• Results (final template)

• Implications

• Limitations

Page 3: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Industry background

• 2004, 4.2 million adults - members of private clubs in UK

•9.1% of the adult population (Mintel, 2005). 11% (2007)

• Increased governmental campaigning to increase well-being and reduce health problems associated with sedentary lifestyles (Robinson, 2004; UK Government, 1999).

• Rapid growth over the last 15 years to £2.5bn.

Page 4: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

The problem

• Poor retention rates of members

• Average retention rate- approx. 60%

(Mintel, 2005, FIA, 2002)

• Membership fees- 76% of revenue

• Driven by economic competition

2000 – 2004 MV ↑ 43%, growth ↑ 30%(Mintel 2005)

Page 5: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

‘any industry that is losing nearly 40% of its customers on an annual basis needs to scrutinise itself very carefully and ask if it can do more to try to retain their business.’

(Mintel, 2005)

• Retention- cheaper than acquisition (Reicheld, 1996)

Page 6: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Research questions

• What determines cancellation decisions?

- satisfaction ratings?

- members’ usage levels?

- intention to cancel?

• What makes members give good ‘word of mouth?’

Page 7: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Existing approaches

• Health psychology - physical activity• Consumer psychology - satisfaction/ service quality

• Mostly measure either activity levels or intentions, not actual cancellation decisions

• Mostly descriptive or concurrent, not predictive

Page 8: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Mixed design

1. Telephone interviews

2. MRQ

a) Concurrent b) Longitudinal

3. SEM of questionnaire results (n=500+)

4. Interviews at the end of/ exit from longitudinal study

QUAN

qual

QUAN

qual

InterpretationMethod

Page 9: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

A priori themes

Retention

The club The activity

CommitmentBrand identity

Service quality

AttitudeSubjective

norm

Perceived behavioural

control

Page 10: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Telephone interviews

• Literature review- a priori themes

• Recorded interviews (n=25) using Skype and Callburner

• Approx. 23 minutes each

• To avoid biased data and provide comfort

• Manually transcribed and thematically analysed

Page 11: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Sampling

• Maximum variation

• Initial pool of 72, 24 current, frozen and ex members (expecting 50% response rate)

• Most non-response due to invalid numbers

5 yrs (n=2)

1 yrs (n=2)

3 mths (n=2)

X15 pm (n=2)

x5 pm (n=2)

X1 pm (n=2)

Length of membership

Monthly usage

Current members

(n=12)

Frozen members

(n=3)

Ex members

(n=10)

Page 12: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

A priori

The club The activity

CommitmentBrand identity

Service quality

AttitudeSubjective

norm

Perceived behavioural

control

Page 13: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Final template

The club The activity

CommitmentBrand identity

Service quality

AttitudeSubjective

norm

Perceived behavioural

control

The individual

Social Physique Anxiety

State anxiety

Social identity

Rapport

HabitSelf-

determination

Page 14: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Service quality “Well, I just think my club has got everything, good classes, cleanliness...

Brand identification “I’m not one of those people that needs a really posh club… that’s what I like about it.

Commitment “The fact is, if another club as good as mine opened up closer to where I live, I’d cancel my membership in a shot. But at the minute, there’s you know, no alternatives for the same monthly price”

Attitude “Yeah, I think going to the club really helps stop me from piling on the weight and stay a bit healthy!”

Subjective norm “My boyfriend always tells me off if I’ve not been to the club this week, says it’s a waste of his hard earned money!”

PBC “The fact is right, that for some people, they can go to the club when they want, for me I can’t always go…when I’ve got to stay late at work…”

Habit “I’m one of these club nuts, that when the clock strikes 5pm, I say to myself “right, off to the club”

Social identity “I just want to feel like I belong somewhere, some clubs I’ve been a member of are just really cliquey”

Rapport “Not everyone’s like me , but I always feel like I want to belong somewhere. I like it when I go to my greengrocers and they talk to me... Whereas you don’t really get that in a supermarket do you... Which is what my gym is like really, a supermarket.”

Social PhysiqueAnxiety

“For me, the best thing about going to my club is that no one is looking down their nose at you”

Page 15: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Implications

• The same club- different experiences for different members

- different levels of rapport and feelings of identity

- different levels/types of anxiety

• A club can be also be a place of anxiety as well as well-being

• The need for individual profiling and monitoring throughout membership

Page 16: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Limitations

• Low number of frozen members

• Same interview technique used for different groups- concept mapping may have been better for ex members

Page 17: Membership retention in the fitness industry: A qualitative study and the development of a predictive model Helen N. Watts Dr Jan Francis-Smythe

Any questions?

Thanks for your time, enjoy the rest of the ICSS