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Combining the popular addictive form of
‘chance’ in video games with loyalty
programs in order to encourage users to
consistently revisit a mobile application.
 Consistent engagement
leads to more sales
 Often make or break
for the mobile
application itself
 Aim – To prove that an RNG system could
make a loyalty program within a mobile
application more effective.
 Objective – Analyse the way people use
loyalty programs within mobile application
 Objective – Compare traditional mobile
applications with those that use RNG
 Objective – Implement RNG into existing
mobile applications with a loyalty program
and analyse its effectiveness.
The global Mobile Apps industry
Geography
segmentation
Asia-
Pacific216029
258605
303528
334065
375861
554828
0
5
10
15
20
25
0
100000
200000
300000
400000
500000
600000
2012 2013 2014 2015 2016 2021
Market value and forecast
$million
%Growth
 Research Problem:
How can we improve the way companies use discounts
and promotions within mobile apps to build a better
user engagement?
Bad discounts/promotions: the waste of time and
resources
Recent studies have shown that consumers will join up
to 10 loyalty programs but only be active on 3 – 4 of
them. The same studies have also shown that, of any
one program the global benchmark is for, around 35% of
the base are active. - (DigitalAlchemy, 2017)
 understanding different characteristics and
preferences of customers
 providing common attribute of perceived
value to its customer
 customer satisfaction creates loyal customer
 How can companies use discounts and
promotions as advantage within mobile apps
to build a better user engagement?
- Why promotion is important in business
- Why do we have to do it in the mobile
application?
-How to get most customers attention?
44
40
33
POOR STRATEGIC MANAGEMENT FINANCIAL PROBLEMS TREAT OF COMPETITORS
Business loss
Business loss
0
0.5
1
1.5
2
2.5
3
2016 2017 2018 2019
Global Smartphone users (Billion)
Smartphone users
42
32
29
22
35
28
21
13
0 5 10 15 20 25 30 35 40 45
VISITED COMP STORE
MADE PURCHASE
BUSINESS INQUERY
CHANGE PRODUCT
Chart Title
Traditional Smartphone
 Attainment of customer Equity
 Understanding customer Equity
 Value Driver
 Brand Driver
 Relationship Driver
 Perception Driver
 Relationship Driver  Loyalty
 Perception Driver  Customer Evaluation /
Feedback
Generation of random number has possibility to lead to customer
addiction with business engagement
 Increasing customer engagement of the
product or services
 Motivate user to keep using the mobile
application
 Loyalty program with a use of RNG could
spread with the word of the mouth
Research Methodology Apply in this study
Research Approach Quantitative
Research Design  Descriptive
Data Sources  Primary
Research Strategy Survey
Data Collection Method  Online Questionnaire & Hard Copy
Sampling  Convenience Sampling
 Snowball Sampling
Data Analysis Method  Frequencies
 Descriptive statistics
 Reliability( Cronbach's alpha)& Normality
Inferential Analysis  Person's Correlation
 Linear Regression
 Thankyou for listening!

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Customer engagement on mobile application research

  • 1. Combining the popular addictive form of ‘chance’ in video games with loyalty programs in order to encourage users to consistently revisit a mobile application.
  • 2.
  • 3.  Consistent engagement leads to more sales  Often make or break for the mobile application itself
  • 4.
  • 5.  Aim – To prove that an RNG system could make a loyalty program within a mobile application more effective.  Objective – Analyse the way people use loyalty programs within mobile application  Objective – Compare traditional mobile applications with those that use RNG  Objective – Implement RNG into existing mobile applications with a loyalty program and analyse its effectiveness.
  • 6. The global Mobile Apps industry Geography segmentation Asia- Pacific216029 258605 303528 334065 375861 554828 0 5 10 15 20 25 0 100000 200000 300000 400000 500000 600000 2012 2013 2014 2015 2016 2021 Market value and forecast $million %Growth
  • 7.  Research Problem: How can we improve the way companies use discounts and promotions within mobile apps to build a better user engagement? Bad discounts/promotions: the waste of time and resources Recent studies have shown that consumers will join up to 10 loyalty programs but only be active on 3 – 4 of them. The same studies have also shown that, of any one program the global benchmark is for, around 35% of the base are active. - (DigitalAlchemy, 2017)
  • 8.  understanding different characteristics and preferences of customers  providing common attribute of perceived value to its customer  customer satisfaction creates loyal customer
  • 9.  How can companies use discounts and promotions as advantage within mobile apps to build a better user engagement? - Why promotion is important in business - Why do we have to do it in the mobile application? -How to get most customers attention?
  • 10. 44 40 33 POOR STRATEGIC MANAGEMENT FINANCIAL PROBLEMS TREAT OF COMPETITORS Business loss Business loss
  • 11. 0 0.5 1 1.5 2 2.5 3 2016 2017 2018 2019 Global Smartphone users (Billion) Smartphone users
  • 12. 42 32 29 22 35 28 21 13 0 5 10 15 20 25 30 35 40 45 VISITED COMP STORE MADE PURCHASE BUSINESS INQUERY CHANGE PRODUCT Chart Title Traditional Smartphone
  • 13.  Attainment of customer Equity  Understanding customer Equity  Value Driver  Brand Driver  Relationship Driver  Perception Driver  Relationship Driver  Loyalty  Perception Driver  Customer Evaluation / Feedback
  • 14. Generation of random number has possibility to lead to customer addiction with business engagement
  • 15.  Increasing customer engagement of the product or services  Motivate user to keep using the mobile application  Loyalty program with a use of RNG could spread with the word of the mouth
  • 16. Research Methodology Apply in this study Research Approach Quantitative Research Design  Descriptive Data Sources  Primary Research Strategy Survey Data Collection Method  Online Questionnaire & Hard Copy Sampling  Convenience Sampling  Snowball Sampling Data Analysis Method  Frequencies  Descriptive statistics  Reliability( Cronbach's alpha)& Normality Inferential Analysis  Person's Correlation  Linear Regression
  • 17.
  • 18.  Thankyou for listening!