Marketing | Insight Maker

to be updated

Campaign effectiveness

Chaitanya TSK

16

This is a model developed with Sarah's and Duncan's help on the 16/5/2017

Teaching model of production and balanced loop

Steven D'Alessandro

A very simple Bass model for teaching purposes

Bass model very simple demo

YH Song

This simple model describes how potential customers are converted into customers through advertising and word of mouth.

Consumer Dynamics (Classroom Version)

Karan Khosla

Simple customer growth stock and flow model that considers the impact of referrals, conversion rate and market size.

Simple Market Saturation

Robert Koshinskie

3

Clone of Clone of Multi-Channel Subscription Model

KATARINA KIM KAPOYOS AMAT

Clone of Multi-Channel Subscription Model

STEVEN WIDJAJA

3

Model Explanation

This complex system model visualizes relationships between the investment on police and community and the change of youth crime rate in Bourke, NSW.

Assumptions

Total number of youth population (aged 13 – 19 years old) in Bourke: 1,000

80% of Bourke youth population are assumed to behave negatively.

50% of alienated teenagers are assumed to breach of law or rules.

70% of alienated youth who breach of law or rules will be arrested by police.

60% of teenagers arrested are assumed to be convicted and detained.

40% of teenagers arrested are assumed not to be convicted and detained.

70% of teenagers detained are assumed to participate in juvenile community programs after being released.

70% of teenagers participated in community programs will rehabilitate.

Variables

Drugs & Alcohol, Domestic violence, Long-term unemployment

Police expenses

Community funding

Conclusion

It can be seen that the number of alienated youth and the crime rate will decline over time when investing more on police and juvenile community programs.

MKT563 Assessment 4 - Simulation of Bourke youth alienation problem - 11641572 SHAN CHEN

Shan Chen

Conceptual Model of Semantic Search Query from Google Analytics data.

Semantic Search Queries Model

levett

Summary of several articles on social marketing

Social marketing

Geoff McDonnell

A very simple Bass model adopted from the Insight maker page

First model: Simple Bass Model

Steven D'Alessandro

在提升銷售業績的過程中,

分析增強環路與調節環路:)

[增強環路1]:為了提升營業額,而投入更多行銷費用,品牌知名度上升,收入也持續增加 :))

[調節環路1]:當行銷支出越多時,會使產品的利潤下滑,也降低了整體銷售額能賺到的利潤!

[調節環路2]: 為了衝業績,工作時間就必須拉長,壓力變大導致工作效率下降而成長幅度趨緩!

M10320014_提升銷售業績之成長上限

CHUANG,KUN-YING

Clone of Clone of Multi-Channel Subscription Model

JUAN HONGA

Assuming there are only product A & B in the market (On the diagram, change the value of the transition "Choose C" into zero - as if Product C did not exist), there is a certain level of acceptance of product A and/or B. In this model, product B is less preferred than Product A. When Product C is introduced into the market (on the diagram, change the value of the transition "Choose C" into a positive value (Since it is a probability, the value should be within 0 & 1 range only). With this introduction, you will see that Product B is replaced almost totally by Product C. This is called "decoy effect' in marketing.

In this example, we assume that Product A is a selection priority. Product B is only considered when the customers are unhappy with Product A (with a probability). Therefore, at the initial stage, product B starts at a lower position than Product A. For that reason, product B also suffers some disadvantages as its growth is likely to be determined by the number of unhappy customers of Product A.

By manipulating the value of the transition "Choose C" you will see that the higher it is, the more likely that Product C will surpass Product B while performance of Product A is unchanged. It implies that as the owner of Product C - and as a late comer, for instance, you just need to deal with Product B and take over its market share.

Note that we assume the three products have no differences, except that Product A is the first consideration of the customers.

Decoy Effect

Nguyen Duc Tri

Stock and flow model to capture relationship between different factors that impact store demo performance

Product demo performance

Chaitanya TSK

3

My first Insight Maker experiment. A straightforward model in which we start with a fixed number of prospects, convert them into customers, then lose some who become former customers.

Customer Conversion and Loss