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Common mistakes to avoid in
Google Analytics
Data
Analytics
1.7MBof data per person,
per second
By 2020, we’ll create
50xincrease in 10 years
That’s a
With so much data available,
it’s hard to believe that
any marketer would still
rely on their gut to make
business decisions
62%rely on experience,
not data
Only 35% of senior executives
have a high level of trust in the
way their organisation uses
data and analytics
Our challenge is to make our
data credible and trustworthy
Reviewing your Analytics data
is crucial to interpret and
analyse it correctly
3xbetter decision making
Data-driven organisations
1.
Hostname
Check your
2.
Tracking
Double or missing
3.
Spam
Handling of
referral exclusions
Stress Referral Exclusions
Types of headaches
4.
Other
Avoid misreporting
traffic
Your Medium parameter
should always reflect the type
of traffic, not the source
utm_medium = social
not
utm_medium = facebook
Next steps...
Audit your Analytics setup
and create a measurement
plan relevant to
your business
Consultancy
Design & Build
Digital Marketing
for brands with ambition.
Strategies, technologies & campaigns

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