Problem Statement and business goals
In this case study, we will explore the dataset at hand to:
1.
Reveal what are the key features of customers and non customers.
2.
Know the factors that are correlated with buying travel insurance.
3.
Know the groups of people that will probably buy travel insurance and
where to find them.
4.
Know groups of people which are not interested in buying insurance
and how to target them.
5.
Suggest some solutions on how to overcome low travel insurance
purchase.
First Look at Data

The data set before our hands contains information about customers and
noncustomers gathered by a travel insurance company.

Features like: Age, Annual Income, Number of Family Members …
are numeric features

Features like: Employment Type, Traveled Abroad, Frequent Flyer …
are categorical features

The target variable is: Insurance Travel, whether an individual has travel
insurance(1) or not (0)

The dataset does not contain any missing values. So, no need to clean the data
set.
Most people don’t have travel insurance

The majority of people in this data set don’t
have travel insurance.

What groups of people are interested in this
service? and what are those that aren’t
interested?

Are there any travel habits for both customers
and non customers?

If the company wants to gain more customers,
what should be the changes to make to get
people insured?
What are the groups of people who buy travel
insurance?
 Employees from private sector are more
likely to have travel insurance
 Graduated people are more likely to
buy travel insurance compared to ones
that are not graduated but the ratios
on both sides are similar
 Frequent flyers and those who traveled
abroad are more likely to take travel
insurance
What are the groups of people who
buy travel insurance?
 People below or equal the age of 26 are more
likely to buy travel insurance. People after the
age of 32 are still interested in travel
insurance
 People with annual income above 1.35M tend
to buy travel insurance.
 People with no chronic diseases are more
likely to buy travel insurance. But the rations
seem to be similar. This feature has no great
impact on travel insurance.
What are the groups of people who
buy travel insurance?

Self-employed or private sector employees tend
to have travel insurance more than government
sector employees.

Frequent flyers with higher income (between
1.4M and 1.5M) are more likely to buy travel
insurance.
Customers vs Non-customers
Customers of the travel insurance company
Non-customers of the company are mostly:
mostly are:

Employees of the private sector or self-

Employees with medium incomes in the
employed
private sector

Frequent flyers

Abroad travelers


People below or equal 26 years old and

above 32 years old


People between 27 and 32 years old.
Non frequent flyers

Families

People who don’t travel abroad
People with high annual income
Non frequent flyers with a medium income
Employees in the government sector and
Recommendations
Based on the findings from the analysis above, some solutions to advertise Travel Insurance to
age groups, big families, non frequent flyers and people who have not travelled abroad would be:

Advertise travel insurance when picking the flights domestically and internationally, and highlight all the
advantages.

Put savings of buying travel insurance for families.

Put detailed information of what is included with travel insurance for the non-frequent flyers so they
understand the importance.

Make a new offers with affordable prices for employees in the government sector and people aged
between 27-32 and don't move around a lot.

Make and advertise offers for employees in the private sector or self-employed with medium incomes
and frequently flying.

Conducting surveys like what customers really know about the insurance and why they buy it. Is it
because they have spare money or buy it just like they buy other things or is it a decision based on the
value that insurence brings to them?