The observed variables of this group have a perception level ranging from 3.3355 to 3.4518 and are at an average level. In which, the observed variable NNL2: Enthusiastic, dedicated staff, ready to serve is rated the highest. This is very suitable because for tourists, when they come to a place, the attitude and service style of the staff there will make them most satisfied. This is also necessary to help Binh Thuan tourism continue to promote this special advantage to compete to attract visitors to other tourist destinations in the country.
4.3.7.2 Reasonable service price factor
Table 4.19: Customer perception of service price factor
Observation variable
Point medium | Level | |
GCHL1: Reasonable entrance fee. | 3.2724 | Medium |
GCHL2: Reasonable entertainment service prices. | 2.9668 | Medium |
GCHL3: Reasonable shopping prices. | 2.9601 | Medium |
GCHL4: Reasonable accommodation price. | 3.2060 | Medium |
GCHL5: Reasonable food service prices. | 3.0963 | Medium |
Factor average score | 3.1003 | Medium |
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- Test the relationship between demographic variables and consumer behavior for Mobile Marketing activities
The analysis method used is the Chi-square test (χ2), with statistical hypotheses H0 and H1 and significance level α = 0.05. In case the P index (p-value) or Sig. index in SPSS has a value less than or equal to the significance level α, the hypothesis H0 is rejected and vice versa. With this testing procedure, the study can evaluate the difference in behavioral trends between demographic groups.
CHAPTER 4
RESEARCH RESULTS
During two months, 1,100 survey questionnaires were distributed to mobile phone users in the inner city of Hanoi using various methods such as direct interviews, sending via email or using questionnaires designed on the Internet. At the end of the survey, after checking and eliminating erroneous questionnaires, the study collected 858 complete questionnaires, equivalent to a rate of about 78%. In addition, the research subjects of the thesis are only people who are using mobile phones, so people who do not use mobile phones are not within the scope of the thesis, therefore, the questionnaires with the option of not using mobile phones were excluded from the scope of analysis. The number of suitable survey questionnaires included in the statistical analysis was 835.
4.1 Demographic characteristics of the sample
The structure of the survey sample is divided and statistically analyzed according to criteria such as gender, age, occupation, education level and personal income. (Detailed statistical table in Appendix 6)
- Gender structure: Of the 835 completed questionnaires, 49.8% of respondents were male, equivalent to 416 people, and 50.2% were female, equivalent to 419 people. The survey results of the study are completely consistent with the gender ratio in the population structure of Vietnam in general and Hanoi in particular (Male/Female: 49/51).
- Age structure: 36.6% of respondents are <23 years old, equivalent to 306 people. People from 23-34 years old
accounting for the highest proportion: 44.8% equivalent to 374 people, people aged 35-45 and >45 are 70 and 85 people equivalent to 8.4% and 10.2% respectively. Looking at the results of this survey, we can see that the young people - youth account for a large proportion of the total number of people participating in the survey. Meanwhile, the middle-aged people including two age groups of 35 - 45 and >45 have a low rate of participation in the survey. This is completely consistent with the reality when Mobile Marketing is identified as a Marketing service aimed at young people (people under 35 years old).
- Structure by educational level: among 835 valid responses, 541 respondents had university degrees, accounting for the highest proportion of ~ 75%, 102 had secondary school degrees, ~ 13.1%, and 93 had post-graduate degrees, ~ 11.9%.
- Occupational structure: office workers and civil servants are the group with the highest rate of participation with 39.4%, followed by students with 36.6%. Self-employed people account for 12%, retired housewives are 7.8% and other occupational groups account for 4.2%. The survey results show that the student group has the same rate as the group aged <23 at 36.6%. This shows the accuracy of the survey data. In addition, the survey results distributed by occupational criteria have a rate almost similar to the sample division rate in chapter 3. Therefore, it can be concluded that the survey data is suitable for use in analysis activities.
- Income structure: the group with income from 3 to 5 million has the highest rate with 39% of the total number of respondents. This is consistent with the income structure of Hanoi people and corresponds to the average income of the group of civil servants and office workers. Those
People with no income account for 23%, income under 3 million VND accounts for 13% and income over 5 million VND accounts for 25%.
4.2 Mobile phone usage in Hanoi inner city area
According to the survey results, most respondents said they had used the phone for more than 1 year, specifically: 68.4% used mobile phones from 4 to 10 years, 23.2% used from 1 to 3 years, 7.8% used for more than 10 years. Those who used mobile phones for less than 1 year accounted for only a very small proportion of ~ 0.6%. (Table 4.1)
Table 4.1: Time spent using mobile phones
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Alid
<1 year
5
.6
.6
.6
1-3 years
194
23.2
23.2
23.8
4-10 years
571
68.4
68.4
92.2
>10 years
65
7.8
7.8
100.0
Total
835
100.0
100.0
The survey indexes on the time of using mobile phones of consumers in the inner city of Hanoi are very impressive for a developing country like Vietnam and also prove that Vietnamese consumers have a lot of experience using this high-tech device. Moreover, with the majority of consumers surveyed having a relatively long time of use (4-10 years), it partly proves that mobile phones have become an important and essential item in people's daily lives.
When asked about the mobile phone network they are using, 31% of respondents said they are using the network of Vietel company, 29% use the network of
of Mobifone company, 27% use Vinaphone company's network and 13% use networks of other providers such as E-VN telecom, S-fone, Beeline, Vietnammobile. (Figure 4.1).
Figure 4.1: Mobile phone network in use
Compared with the announced market share of mobile telecommunications service providers in Vietnam (Vietel: 36%, Mobifone: 29%, Vinaphone: 28%, the remaining networks: 7%), we see that the survey results do not have many differences. However, the statistics show that there is a difference in the market share of other networks because the Hanoi market is one of the two main markets of small networks, so their market share in this area will certainly be higher than that of the whole country.
According to a report by NielsenMobile (2009) [8], the number of prepaid mobile phone subscribers in Hanoi accounts for 95% of the total number of subscribers, however, the results of this survey show that the percentage of prepaid subscribers has decreased by more than 20%, only at 70.8%. On the contrary, the number of postpaid subscribers tends to increase from 5% in 2009 to 19.2%. Those who are simultaneously using both types of subscriptions account for 10%. (Table 4.2).
Table 4.2: Types of mobile phone subscribers
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Prepay
591
70.8
70.8
70.8
Pay later
160
19.2
19.2
89.9
Both of the above
84
10.1
10.1
100.0
Total
835
100.0
100.0
The above figures show the change in the psychology and consumption habits of Vietnamese consumers towards mobile telecommunications services, when the use of prepaid subscriptions and junk SIMs is replaced by the use of two types of subscriptions for different purposes and needs or switching to postpaid subscriptions to enjoy better customer care services.
In addition, the majority of respondents have an average spending level for mobile phone services from 100 to 300 thousand VND (406 ~ 48.6% of total respondents). The high spending level (> 500 thousand VND) is the spending level with the lowest number of people with only 8.4%, on the contrary, the low spending level (under 100 thousand VND) accounts for the second highest proportion among the groups of respondents with 25.4%. People with low spending levels mainly fall into the group of students and retirees/housewives - those who have little need to use or mainly use promotional SIM cards. (Table 4.3).
Table 4.3: Spending on mobile phone charges
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<100,000
212
25.4
25.4
25.4
100-300,000
406
48.6
48.6
74.0
300,000-500,000
147
17.6
17.6
91.6
>500,000
70
8.4
8.4
100.0
Total
835
100.0
100.0
The statistics in Table 4.3 are similar to the percentages in the NielsenMobile survey results (2009) with 73% of mobile phone users having medium spending levels and only 13% having high spending levels.
The survey results also showed that up to 31% ~ nearly one-third of respondents said they sent more than 10 SMS messages/day, meaning that on average they sent 1 SMS message for every working hour. Those with an average SMS message volume (from 3 to 10 messages/day) accounted for 51.1% and those with a low SMS message volume (less than 3 messages/day) accounted for 17%. (Table 4.4)
Table 4.4: Number of SMS messages sent per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
142
17.0
17.0
17.0
3-10 news
427
51.1
51.1
68.1
>10 news
266
31.9
31.9
100.0
Total
835
100.0
100.0
Similar to sending messages, those with an average message receiving rate (from 3-10 messages/day) accounted for the highest percentage of ~ 55%, followed by those with a high number of messages (over 10 messages/day) ~ 24% and those with a low number of messages received daily (under 3 messages/day) remained at the bottom with 21%. (Table 4.5)
Table 4.5: Number of SMS messages received per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
175
21.0
21.0
21.0
3-10 news
436
55.0
55.0
76.0
>10 news
197
24.0
24.0
100.0
Total
835
100.0
100.0
When comparing the data of the two result tables 4.4 and 4.5, we can see the reasonableness between the ratio of the number of messages sent and the number of messages received daily by the interview participants.
4.3 Current status of SMS advertising and Mobile Marketing
According to the interview results, in the 3 months from the time of the survey and before, 94% of respondents, equivalent to 785 people, said they received advertising messages, while only a very small percentage of 6% (only 50 people) did not receive advertising messages (Table 4.6).
Table 4.6: Percentage of people receiving advertising messages in the last 3 months
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Have
785
94.0
94.0
94.0
Are not
50
6.0
6.0
100.0
Total
835
100.0
100.0
The results of Table 4.6 show that consumers in the inner city of Hanoi are very familiar with advertising messages. This result is also the basis for assessing the knowledge, experience and understanding of the respondents in the interview. This is also one of the important factors determining the accuracy of the survey results.
In addition, most respondents said they had received promotional messages, but only 24% of them had ever taken the action of registering to receive promotional messages, while 76% of the remaining respondents did not register to receive promotional messages but still received promotional messages every day. This is the first sign indicating the weaknesses and shortcomings of lax management of this activity in Vietnam. (Table 4.7)
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The impact of online banking service quality of Vietnam Development Investment Bank on customer satisfaction in Ho Chi Minh City market - 14

Source: Data analysis – appendix 4
The factor of reasonable price ranked sixth in the evaluation table with the average factor score (coefficient) Mean = 3.1003. While the regression analysis table shows that this factor has the second strongest impact on tourists' choice of Binh Thuan tourist destination. It shows that although Binh Thuan tourism has taken many measures to control prices, tourists are still not satisfied with the prices that Binh Thuan tourism services provide. In the coming time, Binh Thuan tourism needs to implement more measures to adjust and control prices to satisfy tourists coming to Binh Thuan in the future.
4.3.7.3 Product and service factors
Table 4.20: Customer perception level of product and service factors
Observation variable
Point medium | Level | |
SPDV1: Rich and quality accommodation and food services, diversity. | 3.1495 | Medium |
SPDV2: There are many souvenir stalls. | 3.3322 | Medium |
SPDV3: Many clean and beautiful shopping attractions. | 3.1528 | Medium |
SPDV4: Many entertainment and relaxation services such as: sauna-massage, aesthetic | 3.2658 | Medium |
SPDV5: Many specialties for customers to choose from. | 3.1030 | Medium |
Factor average score | 3.2007 | Central jar |
Source: Data analysis – appendix 4
The factor of product and service diversity ranked third in the evaluation table with the average factor score (Mean coefficient) = 3.2007. While the regression analysis table shows that this factor also has the third strongest influence on tourists' choice of Binh Thuan tourist destination. The observed variables of this group have a perception level ranging from 3.1030 to 3.3322 and at an average level. In which, the observed variable SPDV2: There are many souvenir stalls has a good evaluation level. This is also consistent with reality because souvenir stalls in Binh Thuan are quite rich with many different items, especially souvenirs produced by local ethnic minorities. This is also a unique advantage of Binh Thuan tourism to attract visitors to the locality.
4.3.7.4 Safe destination factor
Table 4.21: Customer perception of destination safety factor
Observation variable
Point medium | Level | |
DDAT1: Ensure safety for visitors when coming to the destination tourism. | 3.1694 | Medium |
DDAT2: Have medical equipment available in case of emergency. | 3.3355 | Medium |
DDAT3: Food safety and hygiene. | 3.2425 | Medium |
DDAT4: No price gouging or customer solicitation. | 3.0664 | Medium |
DDAT5: No stealing and begging. | 3.0930 | Medium |
Factor average score | 3.1814 | Central jar |
Source: Data analysis – appendix 4
The safety destination factor ranked fourth in the evaluation table with the average factor score (Mean coefficient) = 3.1814. While the regression analysis table showed that this factor had the fifth strongest impact on tourists' choice of Binh Thuan tourist destination.
The observed variables of this group have a perception level ranging from 3.0664 to 3.3355 and are at an average level. In which, the highest level belongs to the observed variable DDAT2: Having medical equipment for necessary cases. This shows that tourists appreciate medical equipment and tools the most in safety factors when traveling in Binh Thuan. However, the perception level of tourists is still at an average level. This is something that Binh Thuan tourism needs to pay attention to and focus on in the coming time to better serve tourists in the future.
4.3.7.5 Natural environmental factors
Table 4.22: Customer perception level of natural environment factors
Observation variable
Point medium | Level | |
MMTN1: There are many beautiful resorts, natural and poetic scenery. dream. | 3.5449 | Rather |
MTTN2: Long, beautiful coastline, clear blue water, climate warm. | 3.3522 | Medium |
MTTN4: There are natural mud baths and mineral baths that are good for the body. health. | 3.4718 | Rather |
MTTN5: Many attractive nature reserves. | 3.3754 | Medium |
Factor average score | 3.4360 | Rather |
Source: Data analysis – appendix 4
The natural environment factor ranked first in the evaluation table with the average factor score (Mean coefficient) = 3.4360. The regression analysis table shows that this factor has the weakest impact on tourists' choice of Binh Thuan tourist destination.
The observed variables of this group have a perception level ranging from 3.3522 to 3.5449 and are at a fair level. In which, the highest average score belongs to the observed variable MTTN1: There are many beautiful resorts, natural and poetic scenery and variable MTTN4: There are mud baths, natural mineral baths that are good for health. This shows the fact that tourists are quite satisfied with the natural environment of Binh Thuan tourism.
4.3.7.6 Infrastructure factors
Table 4.23: Customer perception of infrastructure factors
Observation variable
Point medium | Level | |
CSHT1: Large, clean, convenient, safe parking lot. | 2.9834 | Medium |
CSHT2: Convenient traffic system, wide and clean roads,
especially in flat tourist areas.
3.1894 | Medium | |
CSHT3: Clean, airy tourist wharf and bus station, with houses wait. | 3.2658 | Medium |
CSHT4: There are many sports centers and facilities serving this type of people. sea sports, extreme sports, golf course. | 3.0897 | Medium |
Factor average score | 3.1321 | Central jar |
Source: Data analysis – appendix 4
Infrastructure factor ranked fifth in the evaluation table with the average factor score (Mean coefficient) = 3.1321. While the regression analysis table shows that this factor also has the third strongest influence on tourists' choice of Binh Thuan tourist destination.
The observed variables of this group have a perception level ranging from 2.9834 to 3.2658 and are at an average level. In which, the observed variable CSHT3: Tourist wharf, bus station is clean, airy, has a waiting room, the perception level of tourists has a value of = 3.2658.
4.3.8 Examine the difference in the level of perception of choosing Binh Thuan tourist destination between male and female groups.
To understand the difference in perception between the two groups of male and female tourists, the research team conducted an Independent Samples T Test. The two samples used for testing here are the two groups of male and female tourists.
Hypothesis H 0 : the variance of the two samples is equal. The analysis results are as follows:
Table 4.24: Testing the difference in perception level between the 2 groups of male and female tourists
Levene's test for equality of variances
T-test for equality of means | ||||||||||
F | Sig. | t | df | Sig. (2- tail d) | Difference of Mean | Difference of standard error | 95% confidence level of the difference | |||
Short than | High than | |||||||||
Y | Equal variances are accepted | .324 | .570 | .059 | 299 | .953 | .00341 | .05739 | -.10953 | .11635 |
Equal variances are not accepted. | .059 | 298,965 | .953 | .00341 | .05735 | -.10945 | .11627 | |||
Source: Data analysis – appendix 4
With a confidence level of 95%, the Sig value of the F test =0.570> 0.05 accepts the hypothesis H0 that there is no difference in variance between the two populations.
Thus, we will use the t-test value in the line "Equal variances assumed" for analysis. The Sig value in the t-test is 0.953 > 0.05, so we can conclude that there is no difference in choosing Binh Thuan tourist destination between the two groups of male and female tourists.
Table 4.25: Comparison table of average values of choice of Binh Thuan tourist destination between 2 groups of male and female tourists
Sex | N | Medium | Standard deviation | Standard error | |
Option | Male | 148 | 3.2243 | .48650 | .03999 |
Female | 153 | 3.2209 | .50844 | .04110 |
Source: Data analysis – appendix 4
Thus, the average value of male KDL is 3.2243, which is almost equal to the average value of female KDL is 3.2209, there is no big difference between male KDL and female KDL. Therefore, we do not need to pay attention to the gender of KDL when giving solutions and recommendations to improve the choice of Binh Thuan tourist destination of KDL.
4.3.9 Examine the differences in tourist destination choice in Binh Thuan among four age groups.
To understand the difference in perception levels of 4 age groups: under 20, from 21 to 40, from 41 to 60, over 60, the research team conducted a test on 4 independent samples. The four samples used for testing here are 4 groups of KDL: under 20, from 21 to 40, from 41 to 60, over 60.
Hypothesis H 0 : the variance of the four samples is equal. The analysis results are as follows:
To understand the difference in the level of choice of KDL with different ages, the author performed a one-way variance test ( ONE WAY ANOVA).
Table 4.26: Test of Homogeneity of Variances
Levene Statistic
df1 | df2 | Sig. | |
.165 | 3 | 297 | .920 |
Source: Data analysis – appendix 4
Performing Levene's test in the Test of Homogeneity of variances table, we see that Sig =0.920 > 0.05 variance between the choices of the above qualitative variable is not different.
Table 4.27: Anova results table of KDL when choosing tourism
Binh Thuan is a destination by age
Sum of squares | df | Mean square jar | F | Sig. | |
Between groups | .104 | 3 | .035 | .140 | .936 |
In groups | 73,982 | 297 | .249 | ||
Add | 74,086 | 300 |
Source: Data analysis – appendix 4
With a confidence level of 95%, the Sig. value of Levene's test = 0.936 > 0.05 accepts the Ho hypothesis, there is no difference between age groups of tourists when choosing a tourist destination in Binh Thuan.
Table 4.28: Comparison table of average values of destination choices of 04 tourist groups by age
Age
Quantity | Medium | Standard deviation | Standard error | Level of confidence 95% for average | Smallest | Biggest | ||
lower than gender limit | Higher than limit | |||||||
Under 20 | 31 | 3.1677 | .53441 | .09598 | 2.9717 | 3.3638 | 2.00 | 4.20 |
From 21 to 40 | 119 | 3.2303 | .48127 | .04412 | 3.1429 | 3.3176 | 2.00 | 4.20 |
From 41 to 60 | 58 | 3.2276 | .49623 | .06516 | 3.0971 | 3.3581 | 2.00 | 5.00 |
Over 60 | 93 | 3.2280 | .51126 | .05301 | 3.1227 | 3.3332 | 2.00 | 4.20 |
Add | 301 | 3.2226 | .49695 | .02864 | 3.1662 | 3.2790 | 2.00 | 5.00 |
Source: Data analysis – appendix 4




![Mobile Phone Usage in Hanoi Inner City Area
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- Test the relationship between demographic variables and consumer behavior for Mobile Marketing activities
The analysis method used is the Chi-square test (χ2), with statistical hypotheses H0 and H1 and significance level α = 0.05. In case the P index (p-value) or Sig. index in SPSS has a value less than or equal to the significance level α, the hypothesis H0 is rejected and vice versa. With this testing procedure, the study can evaluate the difference in behavioral trends between demographic groups.
CHAPTER 4
RESEARCH RESULTS
During two months, 1,100 survey questionnaires were distributed to mobile phone users in the inner city of Hanoi using various methods such as direct interviews, sending via email or using questionnaires designed on the Internet. At the end of the survey, after checking and eliminating erroneous questionnaires, the study collected 858 complete questionnaires, equivalent to a rate of about 78%. In addition, the research subjects of the thesis are only people who are using mobile phones, so people who do not use mobile phones are not within the scope of the thesis, therefore, the questionnaires with the option of not using mobile phones were excluded from the scope of analysis. The number of suitable survey questionnaires included in the statistical analysis was 835.
4.1 Demographic characteristics of the sample
The structure of the survey sample is divided and statistically analyzed according to criteria such as gender, age, occupation, education level and personal income. (Detailed statistical table in Appendix 6)
- Gender structure: Of the 835 completed questionnaires, 49.8% of respondents were male, equivalent to 416 people, and 50.2% were female, equivalent to 419 people. The survey results of the study are completely consistent with the gender ratio in the population structure of Vietnam in general and Hanoi in particular (Male/Female: 49/51).
- Age structure: 36.6% of respondents are <23 years old, equivalent to 306 people. People from 23-34 years old
accounting for the highest proportion: 44.8% equivalent to 374 people, people aged 35-45 and >45 are 70 and 85 people equivalent to 8.4% and 10.2% respectively. Looking at the results of this survey, we can see that the young people - youth account for a large proportion of the total number of people participating in the survey. Meanwhile, the middle-aged people including two age groups of 35 - 45 and >45 have a low rate of participation in the survey. This is completely consistent with the reality when Mobile Marketing is identified as a Marketing service aimed at young people (people under 35 years old).
- Structure by educational level: among 835 valid responses, 541 respondents had university degrees, accounting for the highest proportion of ~ 75%, 102 had secondary school degrees, ~ 13.1%, and 93 had post-graduate degrees, ~ 11.9%.
- Occupational structure: office workers and civil servants are the group with the highest rate of participation with 39.4%, followed by students with 36.6%. Self-employed people account for 12%, retired housewives are 7.8% and other occupational groups account for 4.2%. The survey results show that the student group has the same rate as the group aged <23 at 36.6%. This shows the accuracy of the survey data. In addition, the survey results distributed by occupational criteria have a rate almost similar to the sample division rate in chapter 3. Therefore, it can be concluded that the survey data is suitable for use in analysis activities.
- Income structure: the group with income from 3 to 5 million has the highest rate with 39% of the total number of respondents. This is consistent with the income structure of Hanoi people and corresponds to the average income of the group of civil servants and office workers. Those
People with no income account for 23%, income under 3 million VND accounts for 13% and income over 5 million VND accounts for 25%.
4.2 Mobile phone usage in Hanoi inner city area
According to the survey results, most respondents said they had used the phone for more than 1 year, specifically: 68.4% used mobile phones from 4 to 10 years, 23.2% used from 1 to 3 years, 7.8% used for more than 10 years. Those who used mobile phones for less than 1 year accounted for only a very small proportion of ~ 0.6%. (Table 4.1)
Table 4.1: Time spent using mobile phones
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Alid
<1 year
5
.6
.6
.6
1-3 years
194
23.2
23.2
23.8
4-10 years
571
68.4
68.4
92.2
>10 years
65
7.8
7.8
100.0
Total
835
100.0
100.0
The survey indexes on the time of using mobile phones of consumers in the inner city of Hanoi are very impressive for a developing country like Vietnam and also prove that Vietnamese consumers have a lot of experience using this high-tech device. Moreover, with the majority of consumers surveyed having a relatively long time of use (4-10 years), it partly proves that mobile phones have become an important and essential item in peoples daily lives.
When asked about the mobile phone network they are using, 31% of respondents said they are using the network of Vietel company, 29% use the network of
of Mobifone company, 27% use Vinaphone companys network and 13% use networks of other providers such as E-VN telecom, S-fone, Beeline, Vietnammobile. (Figure 4.1).
Figure 4.1: Mobile phone network in use
Compared with the announced market share of mobile telecommunications service providers in Vietnam (Vietel: 36%, Mobifone: 29%, Vinaphone: 28%, the remaining networks: 7%), we see that the survey results do not have many differences. However, the statistics show that there is a difference in the market share of other networks because the Hanoi market is one of the two main markets of small networks, so their market share in this area will certainly be higher than that of the whole country.
According to a report by NielsenMobile (2009) [8], the number of prepaid mobile phone subscribers in Hanoi accounts for 95% of the total number of subscribers, however, the results of this survey show that the percentage of prepaid subscribers has decreased by more than 20%, only at 70.8%. On the contrary, the number of postpaid subscribers tends to increase from 5% in 2009 to 19.2%. Those who are simultaneously using both types of subscriptions account for 10%. (Table 4.2).
Table 4.2: Types of mobile phone subscribers
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Prepay
591
70.8
70.8
70.8
Pay later
160
19.2
19.2
89.9
Both of the above
84
10.1
10.1
100.0
Total
835
100.0
100.0
The above figures show the change in the psychology and consumption habits of Vietnamese consumers towards mobile telecommunications services, when the use of prepaid subscriptions and junk SIMs is replaced by the use of two types of subscriptions for different purposes and needs or switching to postpaid subscriptions to enjoy better customer care services.
In addition, the majority of respondents have an average spending level for mobile phone services from 100 to 300 thousand VND (406 ~ 48.6% of total respondents). The high spending level (> 500 thousand VND) is the spending level with the lowest number of people with only 8.4%, on the contrary, the low spending level (under 100 thousand VND) accounts for the second highest proportion among the groups of respondents with 25.4%. People with low spending levels mainly fall into the group of students and retirees/housewives - those who have little need to use or mainly use promotional SIM cards. (Table 4.3).
Table 4.3: Spending on mobile phone charges
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<100,000
212
25.4
25.4
25.4
100-300,000
406
48.6
48.6
74.0
300,000-500,000
147
17.6
17.6
91.6
>500,000
70
8.4
8.4
100.0
Total
835
100.0
100.0
The statistics in Table 4.3 are similar to the percentages in the NielsenMobile survey results (2009) with 73% of mobile phone users having medium spending levels and only 13% having high spending levels.
The survey results also showed that up to 31% ~ nearly one-third of respondents said they sent more than 10 SMS messages/day, meaning that on average they sent 1 SMS message for every working hour. Those with an average SMS message volume (from 3 to 10 messages/day) accounted for 51.1% and those with a low SMS message volume (less than 3 messages/day) accounted for 17%. (Table 4.4)
Table 4.4: Number of SMS messages sent per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
142
17.0
17.0
17.0
3-10 news
427
51.1
51.1
68.1
>10 news
266
31.9
31.9
100.0
Total
835
100.0
100.0
Similar to sending messages, those with an average message receiving rate (from 3-10 messages/day) accounted for the highest percentage of ~ 55%, followed by those with a high number of messages (over 10 messages/day) ~ 24% and those with a low number of messages received daily (under 3 messages/day) remained at the bottom with 21%. (Table 4.5)
Table 4.5: Number of SMS messages received per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
175
21.0
21.0
21.0
3-10 news
436
55.0
55.0
76.0
>10 news
197
24.0
24.0
100.0
Total
835
100.0
100.0
When comparing the data of the two result tables 4.4 and 4.5, we can see the reasonableness between the ratio of the number of messages sent and the number of messages received daily by the interview participants.
4.3 Current status of SMS advertising and Mobile Marketing
According to the interview results, in the 3 months from the time of the survey and before, 94% of respondents, equivalent to 785 people, said they received advertising messages, while only a very small percentage of 6% (only 50 people) did not receive advertising messages (Table 4.6).
Table 4.6: Percentage of people receiving advertising messages in the last 3 months
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Have
785
94.0
94.0
94.0
Are not
50
6.0
6.0
100.0
Total
835
100.0
100.0
The results of Table 4.6 show that consumers in the inner city of Hanoi are very familiar with advertising messages. This result is also the basis for assessing the knowledge, experience and understanding of the respondents in the interview. This is also one of the important factors determining the accuracy of the survey results.
In addition, most respondents said they had received promotional messages, but only 24% of them had ever taken the action of registering to receive promotional messages, while 76% of the remaining respondents did not register to receive promotional messages but still received promotional messages every day. This is the first sign indicating the weaknesses and shortcomings of lax management of this activity in Vietnam. (Table 4.7)
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