COVID-19 Customer Segmentation - Melbourne Airport

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COVID-19 Customer Segmentation by

Transcript of COVID-19 Customer Segmentation - Melbourne Airport

COVID-19 Customer Segmentation by

These were your top 5 segments of priority

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15%23%

6%5%

27%27%

17%18%

16%19%

SizeValue

BUSINESS

LEISURE

DOMESTIC

30%28%

AUSTRALIAN HOLIDAY MAKER

NEW GEN HOLIDAY MAKER

INTERNATIONAL

Base: Total Domestic (n=4277) Total Domestic Value $426.37m Total International (n= 4582) Total International Value $556.11m

63% international traveller population$356m revenue

64% of the Melbourne International Airport value

48% domestic traveller population $234m revenue

55% of the Melbourne Domestic Airport value

These were your top segments of priority

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DOMESTIC INTERNATIONAL

Base: Total Domestic (n=4277) Total Domestic Value $426.37m Total International (n= 4582) Total International Value $556.11m

15% 6% 27% 30% 17% 16%

23% 5% 27% 28% 18% 19%

25-34 (28%),45-54 (24%)

18 – 24 (19%), 25-34 (41%),35-44 (23%)

25 – 34 (45%) 25-34 (39%) 50+ (93%)35-44 (43%),25-34 (27%)

Australian (100%) Australian (100%) Australian (100%) Australian (100%) Australian (100%) Foreign (100%)

Melbourne (54%), Sydney (12%),

VIC Regional (9%)

Melbourne (41%), Perth (15%),

VIC regional (9%)

Melbourne (36%), Sydney (16%),

Brisbane (10%)

Melbourne (79%), VIC Regional (16%),

Sydney (1%)

Melbourne (70%), VIC Regional (23%),

Tasmania Regional (3%)

Other countries of Asia (40%),

China (15%)

Work-related (100%) Work-related (100%)Holiday (33%)

VFR (57%)Holiday (55%) Holiday (68%)

VFR (45%)Holiday (31%)

9.7 4 5.4 3.4 3.3 2.3

Qantas (50%)Virgin Airlines (32%)

Virgin Airlines (29%), Jetstar Airways (29%)

Jetstar (38%) / Virgin Australia (25%)

Qantas (15%)Jetstar Airways (14%);

Emirates (8%); Singapore (8%)

Qantas (19%) Jetstar (11%)

Emirates (10%); Singapore (7%)

Qantas (14%)Singapore Airlines(12%)

Emirates (10%)New Zealand (9%)

Park (14%) / Taxi (30%)

Taxi (32%), Uber (9%), Parking at MA (7%)

Dropped off/Picked up (50%) / Airport connect

bus (10%)

Dropped off / picked up (43%)

Dropped off / picked up (41%)

Dropped off / picked up (46%), Skybus (18%)

Who are the traveller segments we should be focussing on?

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How has COVID-19 impacted propensity to travel

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Pre-COVID-19 trips per year (Between Pre-COVID-19

and Post-COVID -19)

(2018 frequency - % Decrease in frequency of

travel – trips per year)

New Gen Business Traveller 4 13% 3.5

Corporate Frequent Flyer 9.7 33% 6.5

Roving Retirees 4.7 12% 4.1

Hip-ennials 5.4 23% 4.1

Young Holiday Maker 3.4 26% 2.5

Foreign Domestic Leisure Traveller 1.9 14% 1.6

THINK Global Research (May 2020) – Understanding MA travellers - Base: Domestic (n=5,172)

Adjusting segment size in passenger population based on propensity to travel

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Pre-COVID-19 passenger population in the next 3 months

ForecastedPassenger population

New Gen Business Traveller 6% 71% 5%

Corporate Frequent Flyer 15% 87% 30%

Roving Retirees 20% 71% 21%

Hip-ennials 27% 76% 30%

Young Holiday Maker 13% 68% 8%

Foreign Domestic Leisure Traveller 19% 48% 5%

TOTAL 100% 100%

THINK Global Research (May 2020) – Understanding MA travellers - Base: Domestic (n=5,172)

How has COVID-19 impacted propensity to travel

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Pre-COVID-19 trips per year (Between Pre-COVID-19 and Post-COVID -19)

(2018 frequency - % Decrease in frequency of

travel – trips per year)

Australian Business Traveller 5.3 28% 3.8

New Gen Holiday Maker 3.4 18% 2.8

Australian Holiday Maker 3.3 15% 2.8

OZ Student 2.6 7% 2.4

Premium Families 4.3 47% 2.3

International Students 1.9 0% 1.9

Foreign Premium Traveller 2.3 8% 2.1

Experienced Foreign VFR 2.2 7% 2.0

THINK Global Research (May 2020) – Understanding MA travellers - Base: International (n=4,252)

Adjusting segment size in passenger population based on propensity to travel

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Pre-COVID-19 passenger population in the next 3 months

ForecastedPassenger population

Australian Business Traveller 9% 58% 17%

New Gen Holiday Maker 30% 42% 31%

Australian Holiday Maker 17% 35% 15%

OZ Student 6% 38% 5%

Premium Families 3% 34% 2%

International Students 8% 37% 5%

Foreign Premium Traveller 16% 53% 16%

Experienced Foreign VFR 10% 56% 10%

TOTAL 100% 100%

THINK Global Research (May 2020) – Understanding MA travellers - Base: International (n=4,252)