However, further analysis of the outstanding loan structure shows that although the total outstanding loan of the branch has increased significantly, the absolute increase is mainly concentrated in short-term credit. Although the growth rate of medium and long-term outstanding loans is quite high, due to the low proportion in the total outstanding loan, the contribution to the overall increase is not large. In terms of currency, the proportion of loans in VND is absolutely dominant. The outstanding foreign currency loans of the branch are very modest in both absolute numbers and proportion. In the recent period, the approach to enterprises operating in the field of import and export, enterprises operating in industrial zones, and enterprises with foreign investment capital has not achieved the target set by the Branch, leading to unstable credit growth in foreign currency.
Regarding credit risk control, BIDV Ha Long has made many efforts. Although the bad debt ratio has increased slightly in recent years, in the context of general economic difficulties, maintaining a bad debt ratio below the State Bank's permitted limit demonstrates BIDV's relatively good credit risk management capacity.
2.1.3.3. Performance of other services
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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 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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Customer relationship management in competitive strategy and lessons for Vietnamese enterprises - 13 -
The Fundamental Technologies of Electronic Customer Relationship Management -
Customer relationship management at Vietnam Joint Stock Commercial Bank for Investment and Development - Ha Long branch - 12 -
Overview of Customer Relationship Management for Hotels
In addition to traditional services, BIDV Ha Long has developed non-credit services to meet the increasing needs of customers, increase the competitiveness and profitability of the bank such as: payment transfer services, money collection (electricity bills, Viettel phone bills, etc.), treasury services (safes, asset custody, counting and collecting money at home, etc.), ATM cards, trade finance, guarantees, Western Union money transfers, foreign currency trading (foreign currency options).
With the goal of developing non-credit services to increase the proportion of non-credit service revenue in total income, BIDV Ha Long has always paid attention to improving the quality of these services, meeting the diverse needs of customers. Many products
Banking products and services with advanced and convenient features for customers are applied by BIDV Ha Long such as: Automatic salary payment, bill payment, one-place deposit and multiple withdrawal services, automatic teller machines, card transaction systems, and technological services (home services): homebanking, Internetbanking, BSMS, ... one-stop transaction has saved maximum time and procedures for customers when transacting at the Bank.
BIDV Ha Log has always paid attention to improving the quality of these services, meeting the diverse needs of customers. Many banking products and services have advanced and convenient features for customers.
2.2. Current status of customer relationship management at Vietnam Joint Stock Commercial Bank for Investment and Development - Ha Long Branch
2.2.1. Customer identification
2.2.1.1. Identify customers and collect information
As analyzed, customers are the decisive factor for the survival of businesses, especially for the survival of banks. BIDV customers need to pay attention to the following characteristics:
- BIDV Ha Long was established in the form of geographical division. Therefore, customers are mainly concentrated in Quang Ninh province.
- The bank's target customers will include both individual and institutional customers.
- The issue of competition to gain customer trust in Quang Ninh is now becoming increasingly fierce for banks in general and BIDV Ha Long in particular. In Quang Ninh province, there are not only domestic banks such as the State Bank of Vietnam, Quang Ninh branch, Foreign Trade Bank (Vietcombank), Saigon Thuong Tin (Sacombank), Saigon - Hanoi (SHB), Vietnam Maritime Bank (Maritimebank)... but also foreign banks such as
The customer database includes information about customers who transact with BIDV Ha Long, including individual customers and corporate customers. Basic information of individual customers is collected from the first time they start a transaction with the bank. The customer database includes:
For individual customers:
- Personal information: This is data that helps identify customers, including information about name, age, gender, occupation, phone number,...
- Transaction behavior: savings, credit loans, card issuance, which transaction, at which branch, how much money, how often it is repeated,...
- Necessary documents as collateral (when borrowing credit): including documents proving income, labor contract, house rental contract, business license,... of the borrower and co-borrower
For institutional customers
- Basic information and transaction behaviors are similar to individual customers.
- Necessary documents for guarantee (when borrowing credit): proof of ownership of collateral and legal documents such as ID card/Passport, business registration certificate, documents proving financial capacity, Contract for purchase and sale of goods,...
This data will be stored in two forms: hard data (customer records), electronic data (on the customer management software system), helping the bank:
- Retain customers and encourage repeat transactions: there will be customer appreciation programs and gifts for customers on special occasions.
- Identify customer needs to have appropriate policies (will be explained more clearly in the section on distinguishing customers according to needs).
- Targeting potential profitable customers: From the customer database, BIDV will filter out potential profitable customers to have relationship policies.
suitable customer
Any individual or organization wishing to use BIDV's products and services must clearly state personal information such as full name, address, ID number, phone number, and signature of each customer on the CIF and account opening registration form.
The problem still exists at BIDV Ha Long: customer information is not actively updated but mostly provided by customers. This causes a passive reaction to CRM activities at the branch. Up to 100% of employees surveyed rated the role of customer data as very good, which is really useful in helping them understand customers better, but 40% said that the data that is collected (due to updating according to customer profiles) is only done regularly and proactively at a fair and average level. Therefore, the result is that 40% of employees said that the issue of information collection partly supports early forecasting of business results and strategic orientation.
2.2.1.2. Information management
Bank information management system
All customer information at branches in the system is managed uniformly and centrally at the Head Office. The bank's data is stored centrally at BIDV Head Office, the system distinguishes data of each branch by branch code. There is a close connection in using information between the business modules applying the customer relationship management program: CIF (customer information), DEPOSITE (deposit), Transfer (money transfer), Loan (credit), Treasury (capital) and Trade Finance (trade finance).
Database structure
BIDV Ha Long Bank's customer database is formed from the process of contacting and transacting with customers. Currently, each customer transacting at the bank has a separate CIF code, from which deposit accounts will be opened,
loan amount... respectively. Customer information is recorded in the first transaction and is stored to meet the customer's next transactions in order to manage customers as well as compare data, reports, and serve the bank's administrative and operational work. During the transaction process, customer information and data will be updated and supplemented when there are changes or occurrences.
Update and supplement information Periodically twice a year, branches and transaction offices are responsible for updating customer information mainly on the following aspects: customer financial situation, customer credit activities at banks, other credit institutions... The interval between updates is quite long, so sometimes, during the working process, employees still need to proactively find out more information about customers outside of the information channels updated on the system.
How to manage customers
Based on the information provided by customers, the branch has built a customer database in the following order: customer name, contact address, customer code, tax code, customer type: individual, private enterprise, limited liability company, joint stock company... Based on the need to use banking services, BIDV Ha Long has classified customers to use each type of separate service such as: credit, deposit, domestic payment, international payment, card, guarantee... Based on customers using services at the bank, if customers have a need, the branch provides all transaction information of customers used at the bank, such as information on balance, transfer, number of transactions, transactions, interest rates, banking service fees...
The customer information management system is built on the basis of parameters and centralized storage throughout the BIDV system, ensuring information consistency throughout the bank. Each customer has a unique code (CIF number) throughout the bank. Based on this code, the system allows queries to review the overall and detailed accounts of each customer at any time. When a transaction occurs, the system will warn customers with "problems". A complete and comprehensive assessment of customers will facilitate the development of customer policies and strategies. The customer information management system is one of the foundations for the development of banking services: ATM, credit card, POS, Internet Banking, Phone

Banking…
Figure 2.2 BIDV software system
Source: Administration Department
Each customer has a CIF (customer information file) number that stores all of their information and a unique credit number (A/A) in the entire system.
system. The CIF number is a unique code for each customer, automatically generated by the system, consisting of 10 characters. The A/A code is used to manage the maximum credit limit for each customer. Based on the CIF and A/A numbers, customers can conduct credit activities at many different branches of BIDV. The construction of products, information about collateral as well as other information used in the loan are set up by parameters, which makes it very convenient to modify and supplement.
Loan management has different levels:
- CIF: Customer information - Unique in the entire system.
- A/A: Credit code - Unique in the entire system.
- Facility: Contract (Loan limit or guarantee) - Includes 9 levels, including: Regular account; main account; sub-account. Managing multiple levels like this is convenient for monitoring customer limits from the overall to the details of each type. In addition to the loan subsystem, the system also provides a Collateral Management subsystem connected to the facility (Limit) in the loan subsystem. The system distinguishes between two types of accounts: Customer account and GL account. Each account is tracked separately on an account, overdue debt is tracked through statuses without transferring back and forth between accounting accounts like the current system.
The system supporting customer relationship activities in business includes: CRM system and Contact Center system, MIS reporting information system, Treasury system. In which:
Treasury subsystem: The Treasury subsystem is designed as an open, automated and centralized system. The Treasury subsystem allows setting limits for each customer, trader, trading desk, currency, etc. and automatically controls compliance with limits in real time or irregularly. The system automatically performs accounting entries into GL, creates confirmation letters, calculates prices, interest rates, etc. and allows for the creation of analytical reports, assessing the level of risk when there are market fluctuations.
The centralized data warehouse (DWH) serves as the essential operational and management reporting unit for the bank. The DWH extracts and transforms data from two main data sources: SIBS and Treasury. The main subsystems on SIBS include:
- Customer information management subsystem
- Deposit subsystem
- Loan subsystem
- Trade finance subsystem
- Money transfer subsystem
- General accounting subsystem
- Treasury subsystem.
Up to now, the customer relationship management system has been operating stably with an estimated transaction volume and data growth of about 550% (doubled).
5.5 times compared to the time of implementation). However, after a long period of use (more than 9 years), managing nearly 6 million customers, the system has also revealed some limitations, specifically as follows:
- The current data capacity is growing very quickly, the operation process must be continuously cleaned to maintain operations in a safe state <85% of hard disk capacity, the current data capacity is about 75%. Therefore, the IT Center has implemented many synchronous solutions to optimize the system, specifically: Load distribution to optimize the system; periodically clean up data on subsystems; fine-tune and optimize database operations. The above solutions are only temporary solutions because the data to be managed is constantly increasing, reaching the initial design threshold. Therefore, if this situation continues, the system may not be able to operate with full functionality.
- The system at Ha Long branch is developed on old technology (java 1.3), not suitable for the development capacity of technology and the goal of centralized management to minimize operational and business risks. The operational and business subsystem modules are developed on old technology (java 1.3), not suitable for the development capacity.

![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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