Руководитель отдела маркетинга( ARTEL ASTANA (АРТЕЛ АСТАНА) )

Описание

M ax
V la sse n ko
( 9 49)
7 74-8 735
|
I r v in e,
C A
9 2618,
U SA
|
U SA
P erm an en t
R esid en t
|
v la sse n ko m ax im @ gm ail.c o m
|
L in ked In
I
a m
a
M ark etin g
S p ecia lis t
w it h
1 5
y ears
o f
e x p erie n ce
i n
M ark etin g,
D ata
A naly sis
a n d
S o cia l
C om mun ic atio ns.
I
h av e
h elp ed
c o m pan ie s
c o nduct
m ark et
r e se arc h ,
d ev elo p
m ark etin g
s tr a te g ie s,
a n d
l a u n ch
a d vertis in g
c am paig n s
t h at
h av e
h elp ed
c o m pan ie s
r e d uce
t h eir
m ark etin g
b ud gets
w hile
i n cre asin g
r e v en ue.
K ey
A ch ie v em en ts :
●
M ag ic
T ow n:
B ooste d
t ic k et
s a le s
b y
7 3%
a n d
c u t
a d vertis in g
c o sts
b y
2 7%
w it h
a
n ew
C PA
m ark etin g
s tr a te g y.
I m pro ved
o rg an ic
t ic k et
s a le s
b y
3 0%
t h ro ugh
e n han ced
S E O
a n d
s o cia l
m ed ia
e ffo rts .
●
A ls e r:
I n cre ase d
c u sto m er
r e tu rn
b y
7 5%
w it h
C RM
a n d
a u to m ate d
e m ail
c am paig n s.
E nhan ced
o nlin e
s to re
t r a ffic
b y
8 5%
i n
2 020
a n d
c o ntin ued
t o
i m pro ve
b oun ce
r a te s
a n d
t r a n sa c tio n
r a te s
i n
s u b se q uen t
y ears.
T ech nic al
P ro fic ie n cie s:
T ools :
M S
O ffic e,
G oogle
W ork sp ac e,
G oogle
D ata
S tu d io ,
G oogle
A naly tic s,
G oogle
T ag
M an ag er,
M eta
A ds
M an ag er,
G oogle
A ds,
T ik T ok
A ds,
S E O ,
S E M .
D ata
A naly sis :
E xcel,
G oogle
S h eets ,
S Q L,
P yth on,
A /B
T estin g,
D ig it a l
M ed ia
A naly tic s.
P R O FE SSIO N AL
E XPE RIE N CE
M ark etin g
S p ecia li s t
( re m ote ),
M ag ic
T ow n,
M ia m i,
F L ,
U SA
1 0/ 2022
–
p re se n t
E ven t
A gen cy
( p riv ate
a n d
t ic k ete d
e n te rta in m en t
e v en ts )
●
D ev elo ped
f r o m
s c ra tc h
M ark etin g
S tr a te g ie s
i n
d ig it a l
a n d
o utd o or
a d vertis in g
●
I m ple m en te d
a
n ew
C PA
m ark etin g
s tr a te g y
b y
t e stin g
v ario us
h yp oth ese s
( c h an gin g
t h e
t a rg et
a u d ie n ce,
t y p es
o f
a d vertis in g
c am paig n s,
c re ativ e
m ate ria ls ,
k eyw оrdp ool)
i n
M eta
A ds
a n d
G oogle
A ds
a n d
i n cre ase d
t ic k et
s a le s
b y
7 3% ,
r e d ucin g
a d vertis in g
c o sts
b y
2 7% .
●
I m pro ved
e x is tin g
o rg an ic
c o m mun ic atio n
c h an nels
( w eb sit e ,
s o cia l
n etw ork s),
w ork in g
o n
S E O ,
p ag e
d esig n ,
a d din g
i n flu en cers ,
w hic h
i n cre ase d
o rg an ic
t ic k et
s a le s
b y
a n
a v era g e
o f
3 0%
●
I n cre ase d
L T V
a n d
c u sto m er
r e tu rn
b y
i m ple m en tin g
C RM ,
a u to m atic
e m ail
c am paig n s
( M ailC him p)
a n d
u sin g
l o okalik e
a u d ie n ces
i n
M eta
b y
a p pro xim ate ly
2 5%
f o r
t h e
c o m pan y
a s
a
w hole
C hie f
M ark etin g
O ffic er
,
A ls e r
,
K az ak h sta n
1 0/ 2019
–
0 8/ 2023
R eta il
o f
e le ctr o nic s
a n d
h ouse h old
a p plia n ces.
N o.
3
b y
m ark et
s h are
●
D ev elo ped
m ark etin g
s tr a te g ie s
f o r
2 020-2 023.
●
O ptim iz ed
t h e
s tr u ctu re
o f
t h e
d ep artm en t
b y
a d din g
2 D
a n d
3 D
d esig n ers ,
v id eo gra p hers ,
a
c o pywrite r,
s o cia l
m ed ia
s p ecia lis ts
a n d
t a rg eto lo gis ts
t o
t h e
t e am .
T he
t o ta l
w ag e
b ill
i n cre ase d
b y
1 8% ,
b ut
t h e
a d vertis in g
p ro ductio n
b ud get
d ecre ase d
b y
8 0%
( th e
a d vertis in g
p ro ductio n
b ud get
w as
6 .3
t im es
t h e
w ag e
f u n d).
O ptim iz atio n
a ls o
h ad
a
p osit iv e
i m pac t
o n
t h e
s p eed
o f
p re p ara tio n
o f
c re ativ e
m ate ria ls
a n d
t h e
l a u n ch
t im e
o f
a d vertis in g
c am paig n s.
●
T hro ugh
n eg o tia tio ns
w it h
c o ntr a c to rs ,
o ff lin e
m ed ia
r e d uced
t h e
a g en cy's
c o m mis sio n
( f r o m
1 2%
t o
7 % ).
●
O ptim iz ed
t h e
o nlin e
s tr a te g y
b y
i m ple m en tin g
A /B
t e stin g
o f
c re ativ e
m ate ria ls
a n d
t a rg et
a u d ie n ces,
a s
w ell
a s
a d din g
n ew
a d vertis in g
t o ols ,
s u ch
a s
M eta
A ds,
G oogle
A ds,
Y an dex
A ds,
T ik T ok
A ds,
P ro gra m matic ,
Y outu b e,
O LV
w hic h
i m pro ved
t h e
o nlin e
s to re ’s
p erfo rm an ce:
t r a ffic
2 020
v s
2 019
+ 85% ,
i n dic ato r
r e fu sa ls
- 1 % ,
t r a n sa c tio n
p erc en ta g e
+ 10% ;
t r a ffic
2 021
v s
2 020
+ 4.5 % ,
b oun ce
r a te
- 1 3% ,
t r a n sa c tio n
p erc en ta g e
+ 3% ;
T ra ffic
2 022
v s
2 021
+ 7% ,
b oun ce
r a te
- 5 % ,
t r a n sa c tio n
p erc en ta g e
+ 5% .
●
I m ple m en te d
a
s a le s
f u n nel
u sin g
C RM
a n d
E -M ail
M ark etin g,
w hic h
l e d
t o
a n
a v era g e
i n cre ase
i n
c u sto m er
r e tu rn
o f
7 5%
i n
t h e
f ir s t
y ear.
●
I n cre ase d
t h e
v o lu m e
o f
o rg an ic
t r a ffic
t o
t h e
s it e
b y
7 %
i n
2 023
b y
a d din g
i n flu en cers ,
o pin io n
l e ad ers
a n d
P R ,
w hic h
r e d uced
t h e
b oun ce
r a te
i n
t h e
o nlin e
s to re
i n
t h e
“ O rg an ic ”
c h an nel
b y
2 3% .
●
P artic ip ate d
i n
t h e
d ev elo pm en t
a n d
t e stin g
o f
a
n ew
o nlin e
s to re
U se r
I n te rfa c e
( U I).
●
T ogeth er
w it h
a
t e am
o f
A naly sts ,
u sin g
C RM ,
G oogle
A naly tic s
a n d
G oogle
D ata
S tu d io ,
i m ple m en te d
a u to m ate d
d ash board s
t h at
a llo w ed
u s
t o
r e ceiv e
i n fo rm atio n
a b out
a ll
a d vertis in g
c am paig n s
a n d
t r a ffic
i n dic ato rs
i n
r e al
t im e.
T his
a llo w ed
r e d uce
t h e
t im e
r e q uir e d
t o
p re p are
r e p orts
f o r
s ta k eh old ers
t o
a
m in im um .
●
I n cre ase d
t h e
a w are n ess
o f
t h e
c o m pan y
a m ong
t h e
t a rg et
a u d ie n ce
f r o m
6 0.1 %
t o
6 4.2 %
i n
2 020,
u p
t o
7 1.2 %
i n
2 021
a n d
u p
t o
7 3.4 %
i n
2 022
( m ark etin g
b ud get
w as
r e d uced
b y
1 2%
i n
2 021).
( O ffic ia l
T N S
K an ta r
K az ak h sta n
D ata ).
●
G en era l
c o m pan y
r e su lt :
i n cre ase
i n
r e v en ue
i n
2 020
b y
5 % ,
i n
2 021
b y
1 0% .
R esu lt :
2 020
+ 23%
( o nlin e
s to re
+
1 20%
a n d
r e ta il
s to re s
- 6 % ),
2 021
+ 10%
( o nlin e
s to re
+
3 %
a n d
r e ta il
s to re s
+
1 4% ).
S tr a te g ic
D ir e cto r,
M ed ia in sid er
,
K az ak h sta n
1 1/ 2015
–
1 0/ 2019
A dvertis in g
m ed ia
a g en cy
●
R eceiv ed
2
p ro m otio ns
i n
4
y ears :
f r o m
M ed ia
A naly st
t o
S en io r
M ed ia
S tr a te g is t
a n d
t h en
t o
S tr a te g ic
D ir e cto r.
●
D ev elo ped
m ark etin g
s tr a te g ie s
i n
O nlin e
a n d
O ff lin e
m ed ia .

●
C om bin ed
m ed ia
a n aly tic s
w it h
b usin ess
a n aly tic s
o f
c u sto m er
c o m pan ie s
u sin g
S Q L,
T ab le au ,
G oogle
D ata
S tu d io ,
w hic h
m ad e
i t
p ossib le
t o
i m pro ve
m ed ia
p la n nin g
t a c tic s
a n d
i n cre ase
c u sto m er
r e te n tio n
f r o m
1 0%
t o
1 8% .
T he
l o ad
o n
t h e
a g en cy's
c u sto m er
s e rv ic e
h as
a ls o
d ecre ase d .
●
B y
i n tr o ducin g
d ee p er
d ata
a n aly sis
a n d
r e fin in g
p re se n ta tio n
t e m pla te s,
t h e
c o nvers io n
o f
p ro posa ls
i n to
t h e
s a le s
s tr a te g y
i n cre ase d
f r o m
5 %
t o
1 5% .
●
C onducte d
n eg o tia tio ns
w it h
m ed ia
c o ntr a c to rs ,
t e ste d
t o ols
a n d
e x p an ded
t h e
p ool
o f
d ig it a l
a d vertis in g
t o ols
( a d ded
p ro gra m matic ,
D oub le C lic k ,
O LV ).
●
D ue
t o
t h e
i n tr o ductio n
o f
p ost- c lic k
a n d
p ost- v ie w
a n aly sis
t o
G oogle
A naly tic s,
I
i m pro ved
t h e
q ualit y
o f
o ptim iz atio n
o f
o nlin e
a d vertis in g
c am paig n s,
w hic h
l e d
t o
a n
i n cre ase
i n
c u sto m er
r e tu rn s
M y
p re vio u s
w ork
e x p erie n ce
a ls o
i n clu des
c o n ductin g
q uan tit a tiv e
a n d
q uali t a tiv e
a u die n ce
r e se a rc h ,
o n li n e
a n d
o ff li n e
m ed ia
p la n nin g,
m ed ia
a n aly tic s
u sin g
S Q L
a n d
i s
a va ila b le
o n
m y
L in ked In
p ro file
E D UCAT IO N
&
P R O FE SSIO N AL
D EVE LO PM EN T
I n fo rm atio n
S ecu rit y
,
B S
,
A lm aty
U niv ers it y
o f
P ow er
E ngin eerin g
a n d
T ele co m mun ic atio ns,
K az ak h sta n ,
0 9/ 2002
-
0 5/ 2007
W eb
A naly tic s
,
N eto lo gy.r u ,
0 7/ 2017
-
0 9/ 2017
G oog le
A naly tic s
,
G oogle ,
0 8/ 2017,
G oog le
A dw оrds
,
G oogle ,
0 8/ 2017,
G oog le
T ag
M an ag er
,
G oogle ,
1 2/ 2017
L ea rn
t o
C od e
f o r
D ata
A naly sis
,
T he
O pen
U niv ers it y ,
D iv is io n
o f
C ontin uin g
E ducatio n
v ia
F utu re L earn ,
0 7/ 2016
D AT 204x :
I n tr o d uctio n
t o
R
f o r
D ata
S cie n ce
,
M ic ro so ft,
D iv is io n
o f
C ontin uin g
E ducatio n
v ia
E D X,
0 6/ 2017
Y an dex
M etr ik a
,
Y an dex ,
0 8/ 2017
S Q L
f o r
D ata
A naly sis ,
E xcel
f o r
D ata
A naly sis ,
D ata
A naly sis
a n d
F undam en ta l
S ta tis tic s
,
C oven tr y
U niv ers it y ,
D iv is io n
o f
C ontin uin g
E ducatio n
v ia
F utu re L earn ,
0 3/ 2022
P yth on
D ata
M an ip ula tio n
w it h
p an das
,
D ata C am p,
0 3/ 2022
S Q L
-
M yS Q L
f o r
D ata
A naly tic s
a n d
B usin ess
I n te lli g en ce
,
3 65
C are ers ,
0 4/ 2022.
S U M MAR Y
O F
S K IL LS
M S
O ffic e:
W оrd,
E xcel
( f u n ctio ns,
f o rm ula s,
p iv o t
t a b le s,
v -lo oku p s),
P ow erP oin t,
O utlo ok
|
G oogle
W ork sp ac e:
D ocs,
S h eets ,
S lid es,
F orm s,
D riv e,
G mail,
C ale n dar
|
C lic k h ouse
|
G oogle
D ata
S tu d io
|
G oogle
A naly tic s
|
G oogle
T ag
M an ag er
( G TM )
|
G oogle
A dw оrds
|
M eta
A ds
M an ag er
( F ac eb ook,
I n sta g ra m )
|
T ik T ok
A ds
|
S E O
|
Y an dex
M etr ik a
|
M ed ia
P ix els
|
M ail
C him p
|
W оrdP re ss
|
S h opif y
|
S Q L
|
C RM
S o ftw are
|
M ath em atic s
|
D ig it a l
M ed ia
|
A /B
t e sts
|
D ata
E ngin eerin g
|
A I.