Reduce marketing waste
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.
|
| 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:
- Correct index values as per the test file
- Correct names of columns as provided in the sample_submission.csv file
Time Limit: 5
Memory Limit: 256
Source Limit:
Contributers:
Syed
