when a frustrated marketer met a conversion analyst
TRANSCRIPT
FRUSTRATEDMARKETER
When a
MET A CONVERSIONANALYST
MIKEDIRECTOR OFMARKETING
THE STORE'S TRAFFIC HAS BEENINCREASING WITH HIS MULTI-CHANNELINBOUND MARKETING EFFORTS
i s t h e
f o r a f a s h i o ne C o m m e r c e s t o r e
BUT Conversions are low,
especially on mobile.
ALSO He doesn't know which
sources bring in the
highest Life Time Value
customers
CONVERSIONANALYST
I H A V E A T R I E D A N D T R U EP R O C E S S F O R
C O N V E R T I N G V I S I T O R SI N T O H I G H L I F E T I M EV A L U E C U S T O M E R S
THAT 'S WHEN HEH IRED A
S T E P 1 : GE T R I D OF OP I N I ONS . A L L OF THEM .
STEP 2 : GETSMARTER WITHBEHAVIORALANALYSIS
If you're just looking at
standard google analytics
reports it's time to get help.
You have to go beyond
pageviews, bounce rates, and
even conversion rates to
segmented valuable behavior.
Only 3% of your visitors
convert. Don't ignore the
other 97%! They're more
valuable than you think.
Most surveys are useless.
They're vanity stats showing
what happened and not what
to do about it.
Don't make your customers
think hard with ambiguous
questions like "What changes
would you make to our site?"
There are questions that are
easy to answer but provide
loads of actionable insight.
If you're a low traffic site
you have to test more
drastic changes to detect
a significant lift.
If you're stopping your A/B
tests when they reach
significance you're doing
it wrong.
Know beforehand what
representative sample size
you need. Or else the
results are just random.
STEP 3 : GET INSIDEYOUR CUSTOMER 'SHEAD BY ASKINGBETTER QUESTIONS
STEP 4 : GET BETTERRESULTS BYRUNNING BETTERTESTS
Yes , even yours .
The most experienced marketer in the world has no idea what
your specific audience needs .
The only way to know is to watch them and talk to them .
BEHAVIOR ANALYSIS :WE FOUNDPATTERNS THATCORRELATED WITHHIGHER LIFE TIMEVALUE
Customers with higher value
came from more expensive
search ads but had higher net
profits.
There were certain products
that were favorites of these
customers but were not
prominent in the site's visual
hierarchy.
They were anxious about
shipping timing and return
policies.
They were unsure the clothes
would fit them and wanted
better sizing charts.
The images were too small;
they wanted to see more
details of the products.
We got a 354%
return on ad spend .
We saw a 28%
conversion lift with
customers
acquired through
paid search .
ASKING CUSTOMERS :WE FOUND SEVERALISSUES WITH THESITE AFTER TALKINGTO CUSTOMERS
GETTING RESULTS :WE RE -ALLOCATEDAD SPEND ANDTESTED THE DESIGNCHANGES
SO L V I NG M I K E ' S F RU S TRA T I ONS
Get results.
Get a conversion analyst.
PETER JAMESMountain View Conversions