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Google Analytics Access for Bentley Employees

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Google  Analytics  Access  for  Bentley  Employees

1. Google  Analytics  Login  

Google  Analytics  URL:     http://www.google.com/analytics

User  name:   [email protected]

Password:   2015analytics

2. Google  Analytics  “Main”  Profile

The  shared  account  gives  you  access  to  the  “main”  profile  which  includes  all  pages  in  the  

www.bentley.edu  domain.

3. Google  Analytics  ‘Cookie’  –  the  key  to  tracking  visitors

Definition

The  Bentley  Google  Analytics  cookie  is  a  small  text  file  stored  on  the  user’s  local  hard  drive  and  is  set  for   a  specific  browser  to  keep  track  of  the  user’s  activity  on  the  Bentley  website.    The  cookie  is  used  to   determine  whether  or  the  user  is  a  returning  visitor,  how  long  the  visit  lasts,  the  ‘source’  of  the  visit   (organic  search,  e-­‐mail,  a  banner  ad).    Google  Analytics  only  sets  ‘first  party  cookies’  (created  in  the   same  name  as  the  Bentley  domain  and  can  only  be  read  by  Bentley).

First  vs.  Third  Party  Cookies

First-­‐party  cookies  are  cookies  set  with  the  same  domain  (or  its  subdomain)  in  your  browser's  address   bar.  Third-­‐party  cookies  are  cookies  being  set  with  different  domains  from  the  one  shown  on  the   address  bar  (i.e.  the  web  pages  on  that  domain  may  feature  content  from  a  third-­‐party  domain  -­‐  e.g.  an   advertisement  run  by  www.advexample.com  showing  advert  banners).  (Privacy  setting  options  in  most   modern  browsers  allow  you  to  block  third-­‐party  tracking  cookies).

4. Basic  Web  Analytics  Terminology

● Pageview  –  A  pageview  records  each  time  a  web  page  is  loaded.    A  ‘unique  pageview’  is  the  number   of  visits  that  viewed  a  specific  page.

● Visit  –  Activity  on  a  site  from  a  single  visitor,  times  out  after  30  minutes  of  inactivity  or  if  the  user   returns  from  a  different  campaign  source

● Unique  Visitor  –  UV’s  are  identified  by  the  Google  Analytics  cookie  (browser-­‐based),  they  are  not   ‘people’  although  it’s  OK  to  assume  it’s  the  number  of  unique  “people”  who  visit  the  site

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● Entrances  –  Most  helpful  when  looking  at  traffic  to  a  particular  page,  you  can  understand  how  often   that  page  is  the  “entrance”  page  for  a  single  session

● Bounce  –  Helpful  when  looking  at  traffic  to  a  particular  entrance  page,  you  can  understand  how   often  visitors  also  “bounce”  or  immediately  leave  the  entrance  page  (also  known  as  a  “single  page   visit”)

● Exit  –  Helpful  when  looking  at  traffic  to  pages  or  set  of  page,  exits  include  you  can  understand  how   often  sessions  end  from  that  page  When  a  visitor  leaves  the  site  (shuts  down  browser  or  goes  to   another  domain),  helpful  to  look  at  in  terms  of  pages

● Segment  -­‐  A  segment  filters  the  data,  based  on  the  definition  at  the  visit  level,  to  better  understand   site  traffic

5. Metrics  to  Measure

These  are  the  baseline  metrics  you  should  track  on  a  regular  basis  (monthly,  quarterly)  for  your  site: ● Pageviews

● Unique  pageviews ● Avg  time  on  page ● Entrances

● Bounce  rate ● %  exit

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3. You’ll  arrive  at  a  Standard  Reporting  page  defaulted  to  past  30  days  –  see  below

4. From  left  navigation,  select  Behavior  >  Site  Content  >  All  Pages 5. The  Pages  report  lists  top  pages  by  pageviews  with  

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6. Using  the  advanced  search  bar  (circled  below),  enter  the  directory  where  your  site  pages  live.   For  example,  all  HR  content  lives  in  www.bentley.edu/offices/human-­‐resources  so  you’d  enter   “human-­‐resources”  (if  your  site  has  a  subdomain  like  cbe.bentley.edu,  enter  “cbe”  )

7. To  grab  all  the  content  ,  change  the  #  of  rows  from  10  to  100  (to  be  safe)  in  bottom  right  hand   corner  of  report.

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10. If  choosing  CSV,  open  your  file  and  expand  columns  to  view.  

a. Tip:  Delete  “Page  Value”  column  as  we  don’t  have  any  eCommerce  on  our  site.

7. Advanced:  Viewing  Traffic  by  Segments  (or  Filters)

If  you  only  want  to  view  traffic  by  an  advanced  segment  (ie,  filter),  you  can  view  traffic  from  a  wide   variety  of  filters  but  the  most  common  include:

● New  visitors:  First  time  to  the  Bentley  site  (we  drop  a  first-­‐party  cookie)

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Beneath  the  tool  bar  that  includes  email,  export,  etc,  there  should  be  an  arrow.  Click  this  arrow  to   expand  the  advanced  filters  and  choose  “built  in  filters”  to  see  the  options  listed  above.

     

8. Context:  Compare  your  site  to  

www.bentley.edu

A  report  for  your  site  will  also  include  how  it  performs  relative  to  www.bentley.edu  in  terms  of: ● Total  pageviews

● Unique  pageviews ● Avg  time  on  page ● Entrances

References

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