Goals: Increasing online sales, Increasing revenue from each user, Creating new traffic sources, conversion optmizaton on the Website. Results: Increase of Conversion 150%, Increase of CTR from 3,21% to 5,24% More about us at: http://divanteltd.com/

1. Case Study
eCommerce
for TUI Poland

2. TUI Poland
• TUI
Poland
is
part
of
the
world’s
biggest
tourist
concern
-­‐
TUI
Travel
PLC
–
quoted
on
the
London
Stock
Echange.
• TUI
Poland
owns
63
representaEve
offices.
• A
complex
presentaEon
of
the
offer
is
available
on
the
Website,
which
also
allows
for
online
reservaEons.
The
clients
are
also
welcome
to
use
the
call
centre.
• TUI’s
offer
includes:
charter
vacaEon,
hotel
reservaEons,
flights,
car
rentals
and
much
more.

3. Goals
• Increasing
online
sales
Increasing
revenue
from
each
single
sum
of
money
spent
on
markeEng.
Introducing
new
traffic
sources.
• Increasing
the
effec0veness
of
the
online
channel
More
visible
clients’
engagement,
higher
conversion
rates.
Introducing
new
services
and
products
available
online.
Strategy
• Introducing
new
traffic
sources
and
op0miza0on
of
the
current
ones.
• Conversion
op0miza0on
on
the
Website.

4. Conversion Optimization
Testing and Redesign of
the Website

5. Goals
The
aim
of
our
work
at
this
stage
was
to
rebuild
TUI’s
WebsEe
based
on
the
results
of
our
usability
tests.
We
designed
and
run
a
series
of
tests
which
helped
us
achieve
this
goal.
Methods
In
order
to
get
the
Eps
necessary
to
design
a
new
page
layout,
we
carefully
chose
the
accurate
tools
for
usability
tests.
2a. Statistical analysis
3.
2b. Expert audit Conclusions 4. Interactive
1. Demands 5. Graphic
and wireframes
analysis design
2c. Eyetracking tests recommendati and mockups
ons
Expert consultations

6. 1. Demands Analysis
• First,
we
learned
about
the
business
demands
and
technical
limitaEons.
• Then
we
met
with
people
responsible
for
the
product,
communicaEon
and
preparing
the
offers,
customer
service,
technology
and
development.
• Moreover,
we
did
a
thorough
recogniEon
of
the
branch,
we
read
arEcles,
reports
and
met
with
independent
experts
on
the
tourist
business.
• Armed
with
this
knowledge,
we
could
go
to
the
next
step
–
the
analysis
of
the
Website.

7. 2a. Statistical Analysis
• Traffic
analysis
based
on
staEsEcs
provided
by
Google
AnalyEcs
let
us
detect
usability
and
communicaEon
problems
at
a
large
scale
–
thanks
to
the
staEsEcs,
we
had
hard
data
regarding
parEcular
elements
and
subpages.
• What
is
more,
we
were
able
to
recognize
the
elements
which
were
OK
and
did
not
need
considerable
modificaEons.
To
get
the
full
picture,
we
just
needed
a
couple
of
addiEonal
tests,
which
are
described
next.
Some of the landing pages, especially special offers, have too high bounce rate.
The Website does not use the pottential of the opinions – the users use them relatively rarely.
[…] The users get to this Website by chance, not planing to enter the transactional process, and
back off quickly.

8. 2b. Expert Audit
• The
analysis,
run
by
a
couple
of
independent
experts,
allowed
for
the
esEmaEon
of
the
Website
regarding
usability.
• Apart
from
detecEng
errors
and
problems
connected
with
usability,
we
enriched
the
analysis
with
complex
recommendaEons
based
mainly
on
the
tourist
field.
We
also
got
the
chance
to
learn
about
compeEEon
and
benchmarks
worldwide.

9. 2c. Eyetracking Tests
• The
golad
of
eyetracking
test
was
to
detect
usability
problems.
• Thanks
to
the
equipment
monitoring
points
of
the
biggest
interest
(sight
fixaEon)
on
the
Website,
we
could
observe
what
draws
aZenEon
and
what
remains
unnoEced.
The
test
was
qualitaEve.
The
eyetracker
was
rented
from
Eyetracking.pl
The frequency used to gather data
reached 120 Hz, which, combined with
the possibility to move one’s head
freely, allowed us to get valuable data,
resembling closely natural settings.

10. 2c. Eyetracking Tests
An example of the first
minute spent by the user on
the home page while
performing a task to find a
given holiday.
An example of eyetracking path. The dots
mark the points of fixations (the bigger the
dots, the longer the fixation lasted). The
links between the dots represent saccadic
movements.

11. 2d. Expert Consultations
• Apart
from
tests,
analysis
and
reading
a
number
of
reports
and
arEcles,
we
followed
the
advice
of
our
befriended
experts
from
the
tourist
business.
• They
helped
us
understand
this
business
and
we
o[en
used
their
support
when
making
project
decisions.

12. 3. Conclusions and
Recommendations. Why so
many tests?
• Conclusions
and
recommendaEons
allowed
us
to
come
up
with
a
new
concepEon.
• Each
tool
was
supposed
to
recognize
a
different
fragment
of
the
whole.
• Conclusions
drawn
from
eyetracking
tests
confirmed
earlier
staEsEcs
and
recommendaEons
from
expert
analysis
were
a
source
of
ideas
for
the
designers.

13. 4. Interactive Wireframes
Having
gathered
conclusions
and
recommendaEons,
we
started
designing,
which
effected
in
interacEve
wireframes.
We
prepared
over
20
prototypes
and
designed
over
30
different
looks
represenEng
key
subpages.
.
Home page Search results Subpage of an offer

14. 5. Graphic Design
Once
the
interacEve
wireframes
were
done,
we
got
down
to
create
graphic
design.
We
wanted
it
to
be
fresh
and
modern,
with
a
clear
interface.
Home page Search results Subpage of an offer

15. The main changes:
The search engine is crucial
According
to
the
tests,
the
search
engine
was
the
crucial
element
of
the
Website.
It
is
responsible
for
guiding
the
majority
of
the
users
to
the
proper
offer.
In
its
previous
form,
the
search
engine
was
somewhat
problemaEc,
especially
regarding
non-­‐intuiEve
opEons
and
the
very
way
it
worked.
What
was
more,
the
search
engine
was
not
visible
enough.

16. The main changes:
The search engine is crucial
We
proposed
some
changes.
The
search
engine
is
wider
and
takes
exactly
half
of
the
page’s
width.
In
the
second
part,
there
is
a
dynamically
scrolled
banner
presenEng
the
newest
offers.
It
also
serves
as
a
visual
refreshment.
We
improved
the
search
fields
based
on
earlier
analysis
to
make
them
more
intuiEve
and
effecEve.

17. The main changes:
Can I place an order here?
The
former
version
of
the
Website
did
not
suggest
that
it
was
possible
to
buy
a
holiday
on
it.
In
response
to
that,
we
prepared
simple
and
clear
copywriEng
texts
suggesEng
reservaEons
and
added
an
aZracEve
informaEon
secEon
to
the
home
page.

18. The main changes:
How to put all this information on the
home page?
The
former
version
of
the
Website
presented
only
w
few
offers.
We
decided
to
change
it,
designing
a
large
element
in
the
form
of
bookmarks,
which
enabled
us
to
put
over
100
offers
in
one
place.

19. The main changes:
Megadropdown menu type is cool,
but is it always?
A[er
our
observaEon
of
the
users
and
many
discussion
within
our
team,
we
decided
to
remove
the
megadropdown
menu.
Thanks
to
this
simplificaEon,
the
users
can
move
around
the
Website
much
more
freely.

20. The main changes:
The users like to compare offers- lets make
it easier for them.
The
nature
of
the
business,
with
its
numerous
parameters
and
standards
of
their
marking,
causes
the
offers
to
be
very
difficult
to
compare,
while
the
users
o[en
compare
in
order
to
pick
the
best
offer.
The
parEcular
opEons
are
o[en
an
individual
maZer
and
the
users
are
o[en
wiling
to
pay
more
for
some
faciliEes.
To
make
it
easier
for
the
users
to
compare
offers,
we
designed
a
new
layout
of
the
offers’
list.
Dynamic
filters,
readable
results
and
new
icons
of
facilites
increased
the
effecEvenss
of
searching
and
comparing
the
offers.

21. The main changes:
A transformed process of ordering
Thanks
to
the
wholly
new
process
of
booking,
the
users
can
indicate
the
opEons
they
are
interested
in
and
see
how
the
price
changes
respecEvely.
Moreover,
right
a[er
entering
the
offer’s
subpage,
the
total
price
is
visible,
which
makes
the
ordering
process
run
much
more
smoothly.

22. The main changes:
Reservation in 3 simple steps
Three
steps
of
reservaEon,
already
present
on
the
previous
version
of
te
Website,
turned
out
to
be
truly
easy
to
go
through.
So
we
decided
to
make
only
a
couple
of
changes
to
improve
the
visual
side
and
usability.

23. The main changes:
Implementing social opinions
• ImplemenEng
the
possibility
to
add
and
share
opinions,
based
on
Facebook
mechanisms
• Lowering
entry
barriers
–
making
the
process
of
adding
an
opinion
much
more
easier
• Drawing
new
users
(each
opinion
published
on
a
user’s
wall)

24. Results
• Increasing
users’
engagement
(accompanied
by
the
increasing
number
of
page
visits)
• Increse
of
an
average
number
of
pages
per
visit
from
6,78
to
10,43
• Increase
of
an
average
Eme
spent
on
the
Website
from
4:12
to
4:56
• Decrease
of
bounce
rate
from
27,55%
to
22,54%
• The
bounce
rate
for
the
subpages
of
the
offers
decreased
from
9,45%
to
6,4%
• The
bounce
rate
of
search
results
decreased
from
11,59%
to
4,19%
• Conversion
(accompanied
by
the
increasing
number
of
page
visits)
• Conversion
rate
increased
by
150%
This
part
was
prepared
by
Tomek
Tomalik,
Ideacto
interacEve
agency
(part
of
the
Divante
Group)

25. Marketing
Optimization of Traffic
Sources

26. We start from the audit of the current
state
• Sales
are
generated
only
by
the
branding
campaigns.
• 70%
of
the
page
visits
coming
from
CPC
are
single
visits.
• Meanwhile,
as
much
as
16%
paid
reservaEons
needed
at
least
12
contacts!

27. Organization of the Campaign
• RecommendaEons
are
quality-­‐oriented
(Quality
Score).
Quality
Score:
• Influences
the
actual
CPC
of
the
keywords.
• Serves
esEmaEng
rates
for
the
first-­‐page
result.
• Determines
whether
a
keyword
is
right.
• Influences
the
ad’s
posiEon
in
the
ranking.
• Working
on
the
Quality
Score
lowers
the
costs
of
AdWords
and
simultaneously
retains
or
increases
traffic.
Example:
Egypt
–
crea'ng
separate
ad
groups
with
separate
keywords
(holiday,
vaca'on),
separate
for
„last
minute”
for
the
hotel-­‐connected
keywords.
Such
a
division
allows
one
to
create
beBer
ad
texts
and
more
diversified
landing
pages.

28. Keywords
Example:
• Matches
–
in
an
ad
group,
o[en
one
word
is
used
in
3
matches.
Phrases
that
generated
clicks
(wrong
matches):
– We
suggested
preparing
keywords
–
from
the
more
• Spanish
jobs
general
to
detailed
–
and
giving
them
different
types
of
• Czech
coal
maches
(broad
match,
phrase
match,
exact
match).
• Czech
Republic
prices
of
mobile
Simultaneously,
the
list
of
mutually
exclusive
keywords
phones
should
be
constantly
updated,
especially
in
the
groups
• Leopold
Staff
descrip'on
of
a
where
there
are
keywords
in
the
broad
match.
journey
to
Italy
• Madera
doors
• Mutually
exclusive
keywords
• Mexico
weather
• Wooden
houses
– Currently,
the
campaign
and
ad
groups
have
very
liZle
• Beijing
warehouses
mutually
exclusive
keywords
defined.
In
the
case
of
• Kubus
games
general
keywords
and
broad
match
(e.g.
Chech
• Beijing
coordinates
• United
Arab
Emirates
electrician
Republic,
China,
Bali),
tha
ads
are
displayed
and
jobs
generate
clicks
in
response
to
searched
phrases
totally
unconnected
to
the
offer.

29. Examples of Recommendations
• Developing
the
list
of
mutually
exclusive
keywords
• ModificaEon
of
the
types
of
matches
for
the
current
keywords
• LP
modificaEons
–
e.g.
by
using
filters
to
understand
beZer
what
a
user
was
looking
for
while
typing
a
given
phrase
(beZer
LP
match
to
the
searched
phrase)
• RetargeEng
–
as
a
method
to
use
CPC
to
sale
• TesEng
more
aZracEve
ad
texts:
– If
an
add
includes
%
,
CTR
is
over
3x
beZer
–
9,72%
vs.
2,92%
– Words
such
as
special
offer,
see,
check
do
not
work.
Words
„last,
cheap,
cheaper,
discount,
all
inclusive”
do
work.

30. Constant Campaign Optimization
• Each
channel
that
leads
a
user
to
the
Website
has
to
be
analyzed
with
respect
to
its
role
in
conversion
rate
at
every
stage.
• The
procedure
in
each
ad
group
with
the
phrase
match
should
go
as
follows:
– Adding
a
new
keyword.
– A[er
a
given
Eme
–
analysis
of
the
ad’s
results
for
the
keywords.
While
analyzing,
a
list
of
the
phrases
typed
by
the
users,
which
provoked
clicking
on
a
given
ad,
should
always
be
checked.
In
the
case
of
keywords
with
the
phrase
match,
o[en
one
word
in
the
campaign
is
linked
to
several
or
even
several
dozen
different
searched
phrases.

31. Summary
Results

32. Results
• MarkeEng
(sales
campaign)
– Increase
of
CTR
of
the
ads
from
3,21%
to
5,24%
– Lowering
an
average
CPC
from
0,73
to
0,61
– Considerable
growth
in
the
number
of
page
visits
• Increase
of
user
engagement
(accompanied
by
the
increase
of
page
visits)
– Increse
of
an
average
number
of
pages
per
visit
from
6,78
to
10,43
– Increase
of
an
average
Eme
spent
on
the
Website
from
4:12
to
4:56
– Decrease
of
the
bounce
rate
from
27,55%
to
22,54%
• Conversion
(accompanied
by
the
increase
of
page
visits)
– Conversion
rate
grew
by
150%.

33. What’s next?
New products

34. Airplane Tickets - Tests
• New
service
–
Ecket
sales
• Mapping
the
disEnguishing
features
–
what
are
the
users’
needs
as
far
as
airplane
Eckets
purchase
is
concerned?
–
how
can
we
help
them?
• Market
survey
from
IMAS
InternaEonal
– The
survey
was
conducted
among
a
group
of
306
users
who
have
bought
an
airplane
Ecket
during
the
previous
12
months.

35. Airplane Tickets- THE
USE
OF
WEBSITES
OFFERING
AIRPLANE
Tests TICKETS
0%
20%
40%
60%
80%
100%
• From
20
to
30%
users
who
declare
that
they
esky.pl
(n=161)
21
46
33
are
familiar
with
lataj.pl
(n=180)
32
37
31
Websites
selling
Eckets
fru.pl
(n=88)
31
39
31
admit
that
they
have
purchased
Eckets
there.
tui.pl/bilety-­‐lotnicze
(n=105)
27
44
30
• The
highest
awareness-­‐ tanie-­‐loty.com.pl
(n=192)
35
38
27
to-­‐purchase
conversion
rezerwacja.pl
(n=86)
31
42
27
is
noted
by
esky.pl,
and
biletybilety.pl
(n=71)
37
39
24
the
lowest
by
aero.pl
(opodo.pl
was
not
taken
eprzeloty.pl
(n=79)
37
41
23
into
account).
airEckets.pl
(n=51)
53
25
22
aero.pl
(n=96)
31
49
20
opodo.pl
(n=10)
50
50
0
znam
go
tylko
z
nazwy
I
know
it
only
by
name.
p3,
różne
podstawy
znam,
ale
nie
korzystałem(am)
z
niego
I
know
it,
but
I
haven’t
used
it.
znam
i
skorzystałem(am)
z
niego
(kupiłem(am)
bilet)
I
know
it
and
I
used
it
–
I
bought
a
Ecket
there.
QuesEon
3.
How
well
do
you
know
these
Website’s
offers?
Can
you
say
that…
Base:
respondents
who
indicated
an
exact
Website
in
QuesEon
2
35

36. Aiplane Tickets - KEY
FACTORS
WHILE
PURCHASING
AIRPLANE
Tests TICKETS
ONLINE
• The
key
element
while
Final
price
73%
making
the
decision
to
buy
końcowa
cena
63%
a
given
Ecket
is
its
final
78%
price
(as
indicated
by
73%
Availability
dostępność
połączenia
do
miejsca
57%
45%
respondents).
What
is
docelowego
62%
interesEng,
the
users
Credibility
34%
buying
from
airlines
wiarygodność
serwisu
37%
33%
indicated
this
element
more
o[en
than
those
32%
Detailed
descripEon
of
what
the
płat
szczegółowy
opis
o 35%
buying
Eckets
on
Websites
payments
32%
(respecEvely
78
and
63%).
28%
bezpieczeństwo
transakcji
Safe
transacEon
34%
25%
• Similarly
in
the
case
of
availability,
which
is
second
13%
DescripEon
of
an
offer
opis
oferty
24%
most
important
deciding
8%
element.
1%
Other
inne
0%
2%
p11,
różne
podstawy
Ogółem
306)
Total
((n=306)
Portale
internetowe
(n=99)
Websites
(99)
Strona
przewoźnika
(n=199)
Website
of
a
carrie
(199)
QuesEon
11.
Which
elements
were
the
key
ones
while
picking
the
offer?
Base:
respondents
who
have
bough
a
Ecket
on
a
given
Website

37. Airplane Tickets - KEYWORDS
USED
IN
THE
SEARCH
ENGINE
–
SHOPPING
Tests nazwa
CART
ANALYSIS
misto przewoźni miasto kraj
bilety lotnicze docelowe tanie ka loty wylotu bilet lot do linie lotniczy online docelowy przeloty
bilety 81,9% 23,6% 16,7% 1,4% 2,8% 8,3% 0,0% 1,4% 1,4% 1,4% 0,0% 8,3% 0,0% 1,4%
lotnicze 83,1% 22,5% 22,5% 1,4% 1,4% 7,0% 0,0% 0,0% 1,4% 15,5% 0,0% 5,6% 0,0% 1,4%
miasto docelowe 27,0% 25,4% 19,0% 3,2% 22,2% 31,7% 14,3% 17,5% 15,9% 3,2% 6,3% 1,6% 1,6% 0,0%
tanie 26,1% 34,8% 26,1% 0,0% 45,7% 6,5% 0,0% 2,2% 6,5% 19,6% 0,0% 0,0% 6,5% 8,7%
nazwa przewoźnika 3,1% 3,1% 6,3% 0,0% 0,0% 3,1% 3,1% 0,0% 0,0% 0,0% 3,1% 0,0% 0,0% 0,0%
loty 6,9% 3,4% 48,3% 72,4% 0,0% 10,3% 0,0% 3,4% 13,8% 0,0% 0,0% 0,0% 10,3% 3,4%
miasto wylotu 30,0% 25,0% 100,0% 15,0% 5,0% 15,0% 10,0% 20,0% 5,0% 5,0% 5,0% 5,0% 0,0% 0,0%
bilet 0,0% 0,0% 52,9% 0,0% 5,9% 0,0% 11,8% 0,0% 11,8% 0,0% 52,9% 0,0% 5,9% 0,0%
lot 6,7% 0,0% 73,3% 6,7% 0,0% 6,7% 26,7% 0,0% 33,3% 0,0% 0,0% 0,0% 13,3% 0,0%
do 8,3% 8,3% 83,3% 25,0% 0,0% 33,3% 8,3% 16,7% 41,7% 0,0% 8,3% 0,0% 16,7% 8,3%
linie 9,1% 100,0% 18,2% 81,8% 0,0% 0,0% 9,1% 0,0% 0,0% 0,0% 0,0% 0,0% 0,0% 0,0%
lotniczy 0,0% 0,0% 44,4% 0,0% 11,1% 0,0% 11,1% 100,0% 0,0% 11,1% 0,0% 0,0% 11,1% 0,0%
online 100,0% 66,7% 16,7% 0,0% 0,0% 0,0% 16,7% 0,0% 0,0% 0,0% 0,0% 0,0% 0,0% 0,0%
kraj docelowy 0,0% 0,0% 20,0% 60,0% 0,0% 60,0% 0,0% 20,0% 40,0% 40,0% 0,0% 20,0% 0,0% 20,0%
przeloty 20,0% 20,0% 0,0% 80,0% 0,0% 20,0% 0,0% 0,0% 0,0% 20,0% 0,0% 0,0% 0,0% 20,0% 100,0%
• Above,
there
is
a
presentaEon
of
shopping
cart
analysis
showing
the
coesxistence
of
keywords.
The
numbers
rerpezent
the
percentages
of
phrases
typed
in
the
search
engine
in
which
the
same
keywords
appeared.
• The
data
should
be
read
in
lines,
e.g.
together
with
the
word
bilety
(Eckets),
in
82%
of
the
phrases,
the
word
lotnicze
(airplane)
appeared,
in
24%
miasto
docelowe
(desEnaEon
city)
and
in
17%,
there
addiEonally
appeared
the
word
tanie
(cheap).
• The
dark-­‐green
fields
mark
the
most
dense
coexistence
of
the
words.
QuesEon
14.
What
words
have
you
typed
in
the
search
engine
while
making
this
last
purchase?
Base:
respondents
who
get
to
the
Website
led
by
the
search
results

38. Examples of Conclusions Drawn
from the Tests
• While
looking
for
an
offer,
respondents
spend
on
average
from
1
to
3
hours
on
the
Internet,
browsing
from
2
to
10
offers.
• Having
found
an
interesEng
offer,
the
majority
of
the
respondents
evaluate
the
Website
(if
they
do
not
know
it
yet).
Most
o[en,
they
look
for
opinions
on
the
Internet,
call
the
call
center
or
send
an
e-­‐
mail.
• The
most
common
payment
form
is
bank
transfer.
It
is
also
the
most
preferred
form
of
payment.
• The
respondents
admit
that
they
o[en
come
back
to
the
Websites
they
have
already
made
purchase
on.
The
key
factors
making
them
come
back
are
(again!)
the
price
and
the
availabilty
of
the
given
trip.
Also
the
credibility
of
the
Websites,
earned
earlier,
maZers.

39. Examples of Conlclusions Drawn
from the Tests
• 2/3
of
the
respondents
are
familiar
with
online
airplane
Ecket
sales.
• The
most
popular
–
spontaneously,
as
well
as
when
given
hints
–
online
agencies
selling
airplane
Eckets
are
TUI,
Orbis
(!),
Itaka
and
Triada.
• One
in
four
respondents
has
already
bought
an
airplane
Ecket
via
a
travel
agency.
• Compared
to
the
offer
of
the
very
airlines,
as
well
as
the
Websites
dealing
parEculraly
with
airplane
Eckets
sales,
the
offer
of
travel
agencies
is
viewed
as
worse.
• The
majority
of
the
respondents
claims
that,
compared
to
both
types
of
the
compeEEon
menEoned
above,
the
price
offer
is
worse.
• If
the
respondents
were
to
chose
where
to
buy
idenEcal
offer
–
on
the
Website
of
a
travel
agency
or
one
of
an
airline
or
a
Website
selling
airplane
Eckets
exclusively
–
they
would
pick
an
agency
rarely.
At
the
same
Eme,
the
respondents’
needs
are
similar
–
they
pick
the
offer
that
seems
safe,
comfortble
and
cheap.
• Finally
–
the
great
majority
of
the
respondents
think
that
travel
agencies
should
sell
airplane
Eckets
online.

40. Designing Based on Tests
Followed by Implementation

41. Additional Information
Information about
Divante

42. The Quality of Service
• Sa0sfac0on
from
the
coopera0on
with
our
agency:
4.6
/
5
-­‐
2nd
place
in
Poland
The
survey
carried
out
on
all
Divante
clients
by
Media&MarkeEng
Poland
in
2011.
• Sa0sfac0on
from
our
customer
service:
4.9
/
5
–
3rd
place
in
Poland
The
survey
carried
out
on
all
Divante
clients
by
Media&MarkeEng
Poland
in
2011.
• 100%
of
our
clients
would
recommend
us
to
their
friends.
The
survey
carried
out
on
all
Divante
clients
by
Divante
Company
in
2010.
• Almost
60%
new
ques0ons
which
we
receive
comes
from
the
references
from
our
previous
customers.
• 10
/10
points
in
„punctuality
and
reliability”
category.
The
survey
carried
out
on
all
Divante
clients
by
an
independent
unit
in
2009.

43. The Quality of Work
New
ideas
helping
to
improve
the
func'oning
of
a
company.
-­‐
Puls
Biznesu
magazine,
2009
Such
examples
show
that
our
economy
is
really
innova've
and
has
a
huge
poten'al
of
the
human
capital.
-­‐
SebasEan
Christow,
Ministry
of
Economy
of
the
Republic
of
Poland
Divante
is
able
to
connect
product
innova'ons
with
the
care
for
the
best
quality
of
its
customer
service.
Thanks
to
that,
Divante
carries
out
projects
for
clients
in
Poland
and
all
over
the
world.
-­‐
Michał
Żyliński,
Microso[
A
great
communica'on
and
openness
to
new
solu'ons,
these
are
certainly
the
strong
sides
of
the
team.
-­‐
Izabela
Dauksza,
Coordinator
of
Project
Managers,
Gazeta.pl

44. Technology
• Scalability
–
PromoRing
enables
ca.
5
mln
PV
per
day,
serving
3
mln
UU
per
month
• Flexibility
-­‐
.NET,
Django,
PHP
• We
are
a
partner
of
Apple
and
the
Microso[
Company
• We
are
integrated
with
many
outside
systems
(improvement
systems,
warehouse
systems,
ERP,
CRM)

45. Thank you for your attention
Contact
divanteltd.com
info@divanteltd.com
twiZer.com/divanteltd
phone:
+48
71
34
22
406