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Code

Reduce Marketing Waste

Competition Link - My Leaderboard

HackerEarth Reduce Marketing Waste

Mar 31, 2021, 10:00 PM IST - April 30, 2021, 10:30 PM IST

Problem

You want to reduce marketing waste and aim your marketing initiatives only at those customers who will benefit from your product. This will result in the following:

• Increased business
• New customers who are compatible with your organization
• Seamless transactions with a higher success rate
• More profit with fewer obstacles

Task

Your company has products that can be used for hiring assessments. Your task is to predict the probability percentage that a client will purchase a product from the features provided in the dataset that is given.

Dataset description

The dataset folder contains the following files:

• train.csv: 7007 x 23
• test.csv: 2093 x 22
• sample_submission.csv: 5 x 2

The columns provided in the dataset are as follows:

Column name	Description
Deal_title	Represents a unique title for each deal
Lead_name	Represents the name of a lead
Industry	Represents the industry that a lead belongs to
Deal_value	Represents the value of a deal between a lead and your company (in Dollars)
Weighted_amount	Represents a value that is estimated revenue times a probability
Date_of_creation	Represents the date when a deal's pipeline was created
Pitch	Represents the different types of products that your company offers to a lead
Contact_no	Represents the contact details of a lead (masked)
Lead_revenue	Represents the lead company's revenue (in Dollars)
Fund_category	Represents the type of funding that a lead possesses
Geography	Represents the geographical location of a lead (country)
Location	Represents the geographical location of a lead (state or city)
POC_name	Represents the lead's point of contact's name
Designation	Represents the lead POC's designation
Lead_POC_email	Represents the lead POC's email address
Hiring_candidate_role	Represents the job role that a lead wants to hire
Lead_source	Represents the source from which the lead is generated
Level_of_meeting	Represents the level of a meeting with the lead.  Level 1: Introductory call Level 2: Demo call Level 3: Pre-sales call
Last_lead_update	Represents the communication update between a lead and your company
Internal_POC	Represents the name of the employee who has generated the lead
Resource	Represents whether your company has enough resources to satisfy a lead's requirements
Internal_rating	Represents a rating (1-5) given to a lead
Success_probability	Represents the probability that a lead will buy a product or onboard

Evaluation metric

score = max(0, 100-np.sqrt(metrics.mean_squared_error(actual, predicted)))

Result submission guidelines

• The index is Deal_title and the target is the Success_probability column. 
• The submission file must be submitted in .csv format only.
• The size of this submission file must be 2093 x 2.

Note: Ensure that your submission file contains the following: