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6th World Conference for Graduate Research in Tourism, Hospitality and Leisure, Fethiye,
Turkey, 24 – 29 April 2012




Testing segment quality in rural
tourism
Juho Pesonen

juho.pesonen@uef.fi

University of Eastern Finland
Presentation structure
What?

          Why?
   How?


                 So what?
                     Juho Pesonen   6.6.2012   2
Segmentation
•One of the cornerstones of marketing: right
 product for the right customers
•Finding homogenous groups of customers that
 behave in a similar way
  – Data driven and common sense
    segmentation
•Focus of earlier research has been on finding
 the segmentation solution and profiling
 segments -> clustering
                                     Juho Pesonen   6.6.2012   3
Literature review
- However, there exists several pitfalls when
  clustering customers (Dolnicar, 2002).
  - A “correct” solution is always found.
  - There are always differences between segments
     - What are the most meaningful segments for practitioners?
- Dibb & Simkin (2010): six segment quality
  themes: homogenous segments, segment size
  and potential profitability, segment stability,
  segment accessibility, segment compatibility
  and segment actionability.
                                               Juho Pesonen   6.6.2012   4
- In this study the focus is on segment size and
  segment stability.
- Using qualitative criteria to evaluate quality of
  the segments (Dibb & Simkin, 2010).
  - Pesonen (forthcoming)
  - Tell me who you are and I will tell you where to go
    (Gretzel et al. 2004).
- Overlapping market segments:
  - Clustering does not allow overlapping segments.
  - Baloglu and Uysal (1996) found significant overlap
    between segments using canonical correlation
    analysis.

                                         Juho Pesonen   6.6.2012   5
Rural tourism
- Segmentation also popular in rural tourism (Park &
  Yoon, 2009; Molera & Albaladejo, 2007; Frochot, 2005;
  Kastenholz et al. 1999).
  - Motivation segmentation
  - Clustering methodology
- Very important form of tourism in Finland
  - Cottages and nature
  - Finnish and foreign tourists
- Most of the rural accommodation is reserved
  online: largest website www.lomarengas.fi.

                                              Juho Pesonen   6.6.2012   6
Three research
questions:
•How well can Finnish rural tourists relate
 themselves to the rural tourist segments?
•How does the segments overlap each other?
 and
•How does two different samples from the
 website differ regarding travel motivations and
 demographics? -> Stability

                                    Juho Pesonen   6.6.2012   7
Data and methods
• Pesonen (forthcoming) and Pesonen and Komppula (2010) found
  four different rural tourist segments in Finland.
• Data collected using banner advertisement
• Summer 2009: 727 usable answers from users of
  www.lomarengas.fi
• Summer 2011: 1778 usable responses from users of
  www.lomarengas.fi
• 12 travel motivations were measured in both studies using seven
  point likert-scale.
• Data was analysed using cluster analysis and segments validated
  using ANOVA and chi-square.
• How well can tourists relate themselves to segments? (Gretzel et
  al. 2004).


                                                     Juho Pesonen   6.6.2012   8
Ta


Descriptions of the four segments
Segment name           Description
                       During your holiday you want to meet interesting people, be active and
Social travellers      maybe even have a feeling of romance. You appreciate destination that has a
                       rich history and culture and where you can meet new people outside your
(N=213, 29.3 %)        own family. You also like to have control over your own holiday. You prefer
                       travelling with friends.
                       You enjoy travelling with your family. Having fun, being together with your
Family travellers      family, new "once in a lifetime" experiences and all new and exciting motivate
                       you to travel. You want the destination to be safe for the family and that your
(N=202, 27.8 %)        children enjoy the destination. You also appreciate environmental friendliness
                       of a destination.
                       You want to escape the busy everyday life to the peace and quiet of the
Well being tourists    countryside. You want to relax from the ordinary and hassle of the cities and
                       enjoy privacy and comfort. You appreciate that there are no timetables for
(N=164, 22.6 %)        you, peaceful atmosphere, good possibilities for outdoor activities and
                       beautiful landscapes.
Home           region
traveller              You are interested in travelling to the region where your family comes from.
(N=148, 20.4%)
Something        else, If none of the above options does not describe you as a rural tourists you can
what?                  define your own rural tourism behaviour here.


                                                                             Juho Pesonen    6.6.2012    9
Segments size and overlap in 2011 study
Segment name          Rural tourists relating themselves to segments
Social        rural
                      170 (9.6 %)
tourists
Family travellers     643 (36.2 %)
Well         being
                      606 (34.1 %)
tourists
Home        region
                      75 (4.2 %)
traveller
People belonging
                      180 (10.1 %)
to two segments
People belonging
                      28 (1.6 %)
to three segments
People belonging
                      8 (0.4 %)
to four segments
Something else        68 (3.8%)




                                                                       Juho Pesonen   6.6.2012   10
Comparing data sets
Motivations:
Statistically significant differences in many travel motivations.
All the motivations that differ have higher mean score in the study conducted during summer
2009 expect for one. However, seven point Likert is an ordinal
Similarities in relative importance of items.

Demographics:
In the study conducted in 2009 17 per cent of respondents were male. In the current study 26.3
per cent are male (χ2=24.35, p<0.001).
The respondents are also younger in this study with average age of 39 years compared to 43
years in 2009 study. (F=40.37, p<0.001).




                                                               CBTS 2011/ Juho Pesonen   6.6.2012   11
So what?
• Segment sizes obtained from clustering are not very
  reliable.
• Only little overlap between segments.
   – Not a problem in segmentation.
• Cluster descriptions were quite accurate.
   – Good stability.
• Differences between samples
   – How useful is a questionnaire in segmenting online
     customers?
   – RSE?
• Limitations in data collection (Internet).




                                                          Juho Pesonen   6.6.2012   12
Questions, comments?
Thank you!




                       www.uef.fi

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Graduate pesonen

  • 1. 6th World Conference for Graduate Research in Tourism, Hospitality and Leisure, Fethiye, Turkey, 24 – 29 April 2012 Testing segment quality in rural tourism Juho Pesonen juho.pesonen@uef.fi University of Eastern Finland
  • 2. Presentation structure What? Why? How? So what? Juho Pesonen 6.6.2012 2
  • 3. Segmentation •One of the cornerstones of marketing: right product for the right customers •Finding homogenous groups of customers that behave in a similar way – Data driven and common sense segmentation •Focus of earlier research has been on finding the segmentation solution and profiling segments -> clustering Juho Pesonen 6.6.2012 3
  • 4. Literature review - However, there exists several pitfalls when clustering customers (Dolnicar, 2002). - A “correct” solution is always found. - There are always differences between segments - What are the most meaningful segments for practitioners? - Dibb & Simkin (2010): six segment quality themes: homogenous segments, segment size and potential profitability, segment stability, segment accessibility, segment compatibility and segment actionability. Juho Pesonen 6.6.2012 4
  • 5. - In this study the focus is on segment size and segment stability. - Using qualitative criteria to evaluate quality of the segments (Dibb & Simkin, 2010). - Pesonen (forthcoming) - Tell me who you are and I will tell you where to go (Gretzel et al. 2004). - Overlapping market segments: - Clustering does not allow overlapping segments. - Baloglu and Uysal (1996) found significant overlap between segments using canonical correlation analysis. Juho Pesonen 6.6.2012 5
  • 6. Rural tourism - Segmentation also popular in rural tourism (Park & Yoon, 2009; Molera & Albaladejo, 2007; Frochot, 2005; Kastenholz et al. 1999). - Motivation segmentation - Clustering methodology - Very important form of tourism in Finland - Cottages and nature - Finnish and foreign tourists - Most of the rural accommodation is reserved online: largest website www.lomarengas.fi. Juho Pesonen 6.6.2012 6
  • 7. Three research questions: •How well can Finnish rural tourists relate themselves to the rural tourist segments? •How does the segments overlap each other? and •How does two different samples from the website differ regarding travel motivations and demographics? -> Stability Juho Pesonen 6.6.2012 7
  • 8. Data and methods • Pesonen (forthcoming) and Pesonen and Komppula (2010) found four different rural tourist segments in Finland. • Data collected using banner advertisement • Summer 2009: 727 usable answers from users of www.lomarengas.fi • Summer 2011: 1778 usable responses from users of www.lomarengas.fi • 12 travel motivations were measured in both studies using seven point likert-scale. • Data was analysed using cluster analysis and segments validated using ANOVA and chi-square. • How well can tourists relate themselves to segments? (Gretzel et al. 2004). Juho Pesonen 6.6.2012 8
  • 9. Ta Descriptions of the four segments Segment name Description During your holiday you want to meet interesting people, be active and Social travellers maybe even have a feeling of romance. You appreciate destination that has a rich history and culture and where you can meet new people outside your (N=213, 29.3 %) own family. You also like to have control over your own holiday. You prefer travelling with friends. You enjoy travelling with your family. Having fun, being together with your Family travellers family, new "once in a lifetime" experiences and all new and exciting motivate you to travel. You want the destination to be safe for the family and that your (N=202, 27.8 %) children enjoy the destination. You also appreciate environmental friendliness of a destination. You want to escape the busy everyday life to the peace and quiet of the Well being tourists countryside. You want to relax from the ordinary and hassle of the cities and enjoy privacy and comfort. You appreciate that there are no timetables for (N=164, 22.6 %) you, peaceful atmosphere, good possibilities for outdoor activities and beautiful landscapes. Home region traveller You are interested in travelling to the region where your family comes from. (N=148, 20.4%) Something else, If none of the above options does not describe you as a rural tourists you can what? define your own rural tourism behaviour here. Juho Pesonen 6.6.2012 9
  • 10. Segments size and overlap in 2011 study Segment name Rural tourists relating themselves to segments Social rural 170 (9.6 %) tourists Family travellers 643 (36.2 %) Well being 606 (34.1 %) tourists Home region 75 (4.2 %) traveller People belonging 180 (10.1 %) to two segments People belonging 28 (1.6 %) to three segments People belonging 8 (0.4 %) to four segments Something else 68 (3.8%) Juho Pesonen 6.6.2012 10
  • 11. Comparing data sets Motivations: Statistically significant differences in many travel motivations. All the motivations that differ have higher mean score in the study conducted during summer 2009 expect for one. However, seven point Likert is an ordinal Similarities in relative importance of items. Demographics: In the study conducted in 2009 17 per cent of respondents were male. In the current study 26.3 per cent are male (χ2=24.35, p<0.001). The respondents are also younger in this study with average age of 39 years compared to 43 years in 2009 study. (F=40.37, p<0.001). CBTS 2011/ Juho Pesonen 6.6.2012 11
  • 12. So what? • Segment sizes obtained from clustering are not very reliable. • Only little overlap between segments. – Not a problem in segmentation. • Cluster descriptions were quite accurate. – Good stability. • Differences between samples – How useful is a questionnaire in segmenting online customers? – RSE? • Limitations in data collection (Internet). Juho Pesonen 6.6.2012 12