This is a short data analysis we did using R and then representation using Excel. Data from Kaggle. Made by Ashley, Graham, Ayman, Anna & Michael.

1. airbnb
insights & findings 191+ countries 2m+ listings 60m+ guests

2. Duration of Sessions
Bookings Made
No Booking Made
Lower session duration
corresponds with a a
larger count of bookings
made.
As session duration
increases, booking count
decreases.
Longer session duration
corresponds with lack of
bookings made.

3. Searches Messages
Messages
Searches
Booking
Requests
Booking
Requests
Duration
Duration
Data shows significant
correlations for searches,
messages and duration for
booking requests. However,
there is no one clear
contributing factor.
By increasing the effect of each
factor by 10%, there will be a
multiplier effect of roughly
30%.
Thus individual strategies could
focus on improving these areas
marginally rather than focusing
on large improvement on a
sole area.

4. SEASONALITY OF VISITS
V i s i t s B ro ke n D o w n b y M o n t h
- Clear dip in visits between March to
May
- Emphasizes seasonality of consumer
interests in housing
- Indicates planning for future trips
once the seasons change
- Prospect of travel in early months
induces more site visits
- April – May dip indicates a high
travel time for Spring Break and
work holidays

5. SEASONALITY OF VISITS
V i s i t s B ro ke n D o w n b y T i m e
Airbnb viewership drops between noon and six pm
on most days
As this period conflicts with prime business hours,
we can understand that most customers browse
the website during their leisure as opposed to
during working hours.
Thus those properties featured on the website
during those hours could be charged a premium for
promotion due to higher user traffic.

6. Airbnb needs to increase attractiveness of android platforms, in order to capture
this market share. They could receive a small amount of credits to offset their first
booking when downloading apps or booking through Android platforms to capture
this market segment.
0
100
200
300
400
500
600
700
800
Android Phone Android Tablet iPhone iPad Desktop
Searches Messages Sent Booking Requests
BOOKINGS BY PLATFORM
Majority of bookings made on
desktops, followed by Apple
platforms, and then android.

7. Website design should
encourage users to
correspond with hosts.
Data shows a higher proportion
of messages are followed by
bookings. Website should be
designed to highlight chat
function, and guidelines for
hosts should highlight this (i.e.
encourage interested guests to
correspond with them).
CUSTOMER CONVERSION
1.87%
8.39%
16.49%
Visits that lead to
bookings
Of people
sending messages
Messages
followed up by
bookings

8. Anna Pouschine
Ashley Yap
Ayman Siraj
Graham Place
Micheal Abushacra