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7 Deadly Sins
of digital analytics
Web	Analytics	Wednesday	Warszawa		
2017.04.12
Seven	deadly	sins	
Seven	ways	to	win	
Seven	holy	paths	to	hell	
And	your	trip	begins	
	
Iron	Maiden	-	Moonchild
Sin	1	-	vanity	metrics	
Vanity	metrics	-	data	collected	about	
a	company	or	its	users	that	do	not	
help	make	decisions.	
	
Examples:	
●  unique	browsers	
●  page	views	
●  NPS	
●  #	of	visits	on	home	page	
●  GDP	
hbr.org/2010/02/entrepreneurs-beware-of-vanity-metrics
Good	deed	1	-	Actionable	metrics	
Ac.onable	metrics	-	The	only	
metrics	that	companies	should	
invest	energy	in	collecKng	are	those	
that	help	them	make	decisions.		
Good	metrics	
●  AcKonable	
●  Auditable	
●  Accessible
Sin	2	-	Non-existing	measurement	frameworks
Good	deed	2	-	Two-tiered	segmentation	(Gary	Angel)	
semphonic.blogs.com/semangel/2011/04/semphonics-two-Kered-segmentaKon-segmentaKon-for-digital-analyKcs-done-right.html
Sin	3	-	Focus	on	tools	only
Good	deed	3	-	Holistic	approach	
Key	components:	
●  people	
●  processes	
●  tools
Sin	4	–	Lack	of	domain	knowledge	among	analysts
Good	deed	4	–	Interdisciplinary	teams	
Interdisciplinary	digital	team	funcKons	
●  UX	
●  UI	
●  AnalyKcs	
●  SEO	
●  Product	management	&	markeKng	
●  Engineering	
Spotify office
Sin	6	-	Dashboards	(overcomplicated)
Sin	5	-	Office	(isolation)	syndrome
Good	deed	5	-	Go	outside	of	the	office	
Use	user	/	customer	research	
methodologies	
●  in-depth	interviews	
●  user	tesKng	
●  session	recording	
●  VOC
Sin	6	-	Dashboards	(overcomplicated)
Sin	6	-	Dashboards	(oversimplified)
Good	deed	6	-	Provide	context	to	data	
Section A Section B
•  Divide	data	by	site	secKons	and	
channels	instead	of	presenKng	whole	
traffic	
•  Illustrate	a	reference	and	target	
levels	for	metrics	
•  Show	major	site	changes	and	
improvements	
Section C
Sin	7	-	Gut	driven	decisions
Good	deed	7	-	Data	driven	decision	
analyticsdemystified.com/analysis/big-data-without-digital-insight-management-i-a-big-hot-mess/
7 Deadly Sins of Digital Analytics and 7 Holy Paths to Success

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