SOCIAL MEDIA ANALYTICS PREDICTION

Use the power of social media data and analytics to better identify leasing customers in the automotive industry

CHALLENGE: LEVERAGING THE POWER OF SOCIAL MEDIA IN THE CAR LEASING INDUSTRY

Are you a driven student looking for new challenges? Are you passionate about social media analytics? Do you strongly believe that they can be a powerful tool to better understand consumer behaviour and you can prove it? Well, here’s your chance! 

Daimler Fleet Management (DFM) is challenging students in Singapore of all profiles and backgrounds to tackle the following problem statement: 

 

How can we leverage the data accessible on social media to better analyze and identify leasing customers in the automotive industry?

RESOURCES

Prior to venturing into this challenge and your project, we highly recommend that you first browse through the below information and different insights provided by DFM.

 

Based on this information and on your own research come up with an innovative solution to leverage data provided by Social Media to better analyze and identify leasing customers in the car industry.

THE RIGHT PRODUCT AND SERVICE FOR THE RIGHT CUSTOMER

It's no secret for all industries that "to better serve your customer, you need to better understand their needs and expectations". Online social media networks have proven to be powerful tools for achieving this goal.

 

Customers now have total power over industries to change their e-reputation. Wherever they go, whatever services or products they use, they will grade, like, dislike, recommend, rate, comment everything on social media. DFM wants to turn this trend to its advantage! After all, we're looking at a "free data gold mine" that needs to be exploited!

 

For this challenge, participants are expected to explore and analyze social media data, for example, comments by users on any social media they deem relevant (eg. Facebook, Instagram, YouTube, Google, etc.) and identify users who are likely to lease a car from DFM at different price points. We have listed below a few approaches that can be tackled! However, don't forget ideas on social media analytics are numerous! So feel free to submit other solutions that fall in the "out of the box" section! Creative and innovative ideas will be most valued!

Approach

Here's just one approach you can consider: 

 

1. Crawl and get the comments:

Select a list of social media pages you deem relevant in the car leasing industry and get the comments using their channel's API.

  

2. Translate comments:

Select a list of social media pages you deem relevant in the car leasing industry and get the comments using their channel's API.

  

3. Keywords analytics:

Quality over quantity. Try to think of keywords that would make your research more relevant and qualitative using, for example, Azure Cognitive Services.

  

4. User qualitfication:

Develop a set of criteria to qualify users as potential leasing customers. Use your creative juices here (eg. recently moved expat in Singapore, Regular user of Grab Premium)! 

  

5. Scoring:

Score the qualified users on their likelihood of leasing a car from DFM and generate a list of the potential customers with their name, email and any other relevant information that can be used for offering our leasing products to them.

 

  

But feel free to consider another one should you think it will be relevant to the project.

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