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Business Objective An aviation company that provides domestic as well as international trips to the customers now wants to apply a targeted approach instead of reaching out to each of the customers
Business Objective
An aviation company that provides domestic as well as international trips to the customers now wants to apply a targeted approach instead of reaching out to each of the customers. This time they want to do it digitally instead of tele calling. Hence they have collaborated with a social networking platform, so they can learn the digital and social behaviour of the customers and provide the digital advertisement on the user page of the targeted customers who have a high propensity to take up the product.
Propensity of buying tickets is different for different login devices. Hence, you have to create 2 models separately for Laptop and Mobile. [Anything which is not a laptop can be considered as mobile phone usage.]
The advertisements on the digital platform are a bit expensive; hence, you need to be very accurate while creating the models.
Variable Description
|
Variable |
Description |
|
UserID |
Unique ID of user |
|
Buy_ticket |
Buy ticket in next month |
|
Yearly_avg_view_on_travel_page |
Average yearly views on any travel related page by user |
|
Preferred_device |
Through which device user preferred to do login |
|
Total_likes_on_outstation_checkin_given |
Total number of likes by a user on out of station checkings in last year |
|
Yearly_avg_Outstaion_checking |
Average number of out of station check-in done by user |
|
Member_in_family |
Total number of relationship mentioned by user in the account |
|
Preferred_location_type |
Preferred type of the location for travelling of user |
|
Yearly_avg_comment_on_travel_page |
Average yearly comments on any travel related page by user |
|
Total_likes_on_outofstation_checking_received |
Total number of likes received by a user on out of station checkings in last year |
|
Week_since_last_outstation_checking |
Number of weeks since last out of station check-in update by user |
|
Following_company_page |
Weather the customer is following company page (Yes or No) |
|
Monthly_avg_comment_on_company-page |
Average monthly comments on company page by user |
|
Working_flag |
Weather the customer is working or not |
|
Travelling_networl_rating |
Does user have close friends who also like travelling. 1 is highs and 4 is lowest |
|
Adult_flag |
Weather the customer is adult or not |
|
Daily_Avg_mins_spend_on_travelling_page |
Average time spend on the company page by user on daily basis |
Expert Solution
please see link.
https://drive.google.com/file/d/1pamB296SQQx1ZR3H8EV5KBMqxgCg6SQs/view?usp=sharing
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