STATISTICAL ANALYSIS

Statistical Analysis of Familiarity with Loyalty Programs

Statistical Analysis of Familiarity with Loyalty Programs

Introduction

For this analysis, we are focusing to find out the relationship between awareness of loyalty programs among people and its demographics. We will be collecting data from people belonging to different ages, gender, marital status, education, nationality, non-EU respondents, employment status and their awareness to loyalty programs. We will be evaluating the respondents of the largest population group on the bases of other demographics and will see how the people belonging to different categories have different awareness. We will be looking at the awareness loyalty program so please remain in door. The loyalty awareness programs are run on the TV channels, published in newspaper and even told to stock investors for investment. These are a useful tool to keep the current customers associated with a brand or retail outlet. We will be looking at the locations of the respondents and will analyse the largest population group and their inform status regarding these loyalty programs.

Discussion

The sample of the research consists of 55 respondents. The sample characteristics according to age, gender, marital status, education, and nationality are summarized in Table 1. According to Table 1, most respondents were from age 26 to 30 (34.5%) and 31 to 40 (34.5%). About two thirds of the respondents were male (67.3%). About half of the respondents (52.7%) were married, while (41.8%) of them were single. More than half of the respondents (54.5%) were post-graduates, while merely quarter of the respondents (23.6%) were college graduates. Most respondents were Non-European Union (90.9%), who was mainly from Saudi Arabia (76%). More than one third (38.2%) of the respondents were employed in public sector, while about one third (30.9%) were unemployed. With regard to familiarity with loyalty programs, almost half of the respondents (47.3%) were familiar with loyalty programs, while about one third (34.5%) of respondents were not familiar with loyalty programs, and (18.2%) of respondents were not sure. Figures 1 to 7 representing graphically the sample characteristics. Because most sample respondents were from Saudi Arabia (38, 76%), and all other respondents were from more than five countries, our study's sample were only 38 respondents from Saudi Arabia. The study's sample characteristics are represented in Table 2.

Descriptive of Overall Data

The following table contains descriptive of all the data collected through the services.

Table 1: Sample descriptive according to Age, Gender, Marital Status, Education, and Nationality

Q. No.

Variable

Levels

Frequency

%

95% C.I.

1

Age

Less than 20

2

3.6

0

8.52

21 to 25

8

14.5

5.19

23.81

26 to 30

19

34.5

21.94

47.06

31 to 40

19

34.5

21.94

47.06

41 to 50

2

3.6

0

8.52

51 to 60

5

9.1

1.5

16.7

Total

55

100

2

Gender

Male

37

67.3

54.9

79.7

Female

18

32.7

20.3

45.1

Total

55

100

3

Marital Status

Single

23

41.8

28.76

54.84

Married

29

52.7

39.5

65.9

Separated

1

1.8

0

5.31

Divorced

2

3.6

0

8.52

Total

55

100

4

Education

Secondary

3

5.5

0

11.53

College

6

10.9

2.66

19.14

Graduate

13

23.6

12.38

34.82

Post Graduate

30

54.5

41.34

67.66

Further Education

3

5.5

0

11.53

Total

55

100

5

Nationality

US

4

7.3

0.42

14.18

EU

1

1.8

0

5.31

Non-EU

50

90.9

83.3

98.5

Total

55

100

6

Non-EU

Egypt

1

2

0

5.7

India

1

2

0

5.7

Jordan

5

10

2.07

17.93

Saudi Arabia

38

76

64.71

87.29

Not Specified

5

10

2.07

17.93

Total

50

100

7

Employment Status

Unemployed

17

30.9

18.69

43.11

Public Sector

21

38.2

25.36

51.04

Private Sector

5

9.1

1.5

16.7

Business Owner

1

1.8

0

5.31

Other

11

20

9.43

30.57

Total

55

100

8

Familiarity with Loyalty Programs

Yes

26

47.3

34.1

60.5

No

19

34.5

21.94

47.06

Not Sure

10

18.2

8

28.4

Total

55

100

The above table shows the overall data description. In the age question, the category 31 to 40 is the only category which is statistically significant. In the gender category, the male and female are statistically significant. In marital status category, all groups overlap and are not statically significant. A significance test of 0.05 should be carried out to verify the confidence intervals to see the real significance in all ...