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Anonymous  Users  Are  
People,  Too  
How  to  Engage  Them,  Convert  Them,  and  
Turn  Them  Into  Power  Users    
Why  understand  anonymous  users?  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .      3  
From  unknown  to  known  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .    6  
Iden7fica7on  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  7  
Learning  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  8  
Engagement  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .    11  
Crea7ng  a  virtuous  cycle  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  17  
Key  takeaways  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .    18  
Anonymous  Users  Are  People,  Too   2
Table  of  Contents  
Why  understand  anonymous  users?  
Most  marketers  have  thought  about  personalizing  to  known  users—
people  who’ve  signed  up,  subscribed,  or  otherwise  submiQed  their  
emails.  It’s  smart  to  give  those  users  personal  aQen7on:  that’s  how  
you  build  loyalty.  But  what  about  everyone  else?    
  
According  to  research  from  VentureBeat,  between  57%  and  98%  of  
your  audience  is  likely  anonymous.  So,  if  you’re  just  personalizing  to  
your  known  users,  you’re  only  op7mizing  your  experience  for  a  7ny  
slice  of  your  audience.  You’re  missing  out  on  the  opportunity  to  
engage  the  vast  majority  of  your  users—and  perhaps  more  
importantly,  you’re  not  giving  anonymous  users  a  compelling  reason  
to  make  themselves  known.      
  
Trea7ng  anonymous  users  like  they’re  all  the  same  is  standard,  but  
trea7ng  them  like  future  VIPs  sets  the  founda7on  for  long-­‐las;ng  
rela;onships.  If  you  show  your  anonymous  users  that  you  understand  
them—and  tailor  their  experiences  accordingly—they’re  likelier  to  
engage,  sign  up,  and  ul7mately  join  your  cadre  of  power  users.  And  
trust  us:  you  want  to  make  your  number  of  power  users  as  big  as  
possible.    
  
  
  
  
Anonymous  Users  Are  People,  Too   3
The  power  of  power  users  
Have  you  heard  of  the  80/20  rule?  Applied  to  sales,  it  
s7pulates  that  80%  of  your  revenue  comes  from  20%  of  
your  customers—your  power  users,  so  to  speak.  The  
reality  is  actually  even  more  extreme:  in  retail,  5%  of  
customers  o_en  generate  a  third  of  revenue.    
As  the  7tle  of  this  eBook  implies,  we’re  going  to  talk  about  concrete  
steps  you  can  take  to  turn  those  anonymous  users  into  power  users  
that  drive  your  bo?om  line.  First,  though,  we’re  going  to  address  a  
common  mistake  businesses  make  when  trying  to  increase  sign-­‐ups.  
Many  businesses  put  their  weight  behind  geang  more  traffic,  never  
taking  the  7me  to  collect  or  understand  data  on  individual  users.  This  
volume-­‐based  approach  gets  the  job  done,  but  it’s  not  efficient  in  the  
long  run.  
Anonymous  Users  Are  People,  Too   4
Let’s  say  the  hypothe7cal  website  FeedBuzz.com  had  100  visitors  one  
month.  10%  signed  up,  neang  FeedBuzz  10  known  users.    
  
Now,  let’s  say  FeedBuzz  decided  to  focus  on  driving  traffic  and  got  
200  visitors  the  following  month.  200  x  0.10  =  20  known  users.  
  
But  let’s  imagine  an  alternate  scenario:  along  with  upping  traffic  to  
200  visitors,  FeedBuzz  tracked  those  new  users’  data,  using  it  to  
increase  its  conversion  rate  to  20%.  200  x  0.20  =  40  known  users.    
That’s  4x  the  amount  it  got  the  first  month.  And  if  FeedBuzz  were  to  
build  on  those  rela7onships  to  create  40  new  power  users?  Boom:  
Now  that’s  what  we  call  engagement.  By  using  data  to  engage  users  
at  every  stage  of  the  funnel,  FeedBuzz  made  the  most  of  its  traffic.    
Anonymous  Users  Are  People,  Too   5
So,  how  are  brands  approaching  this  challenge?  How  are  they  
convincing  anonymous  users  to  make  themselves  known?  Frankly,  
conver7ng  an  anonymous  user  is  a  lot  like  winning  over  a  date:  you’ll  
do  well  if  you  make  them  feel  special  from  the  very  beginning.    
  
The  three  mains  steps:    
  
1.  Iden;fying  anonymous  users  
2.  Learning  about  their  preferences  
3.  Engaging  them  by  drawing  upon  that  data    
From  unknown  to  known:  
personalizing  throughout  the  user  
journey  
Anonymous  Users  Are  People,  Too   6
-­‐  Quote’s  source  
In  today’s  digital  world,  iden;fying  your  users  early  and  oIen  is  one  
of  the  most  important  steps  you  can  take.  The  goal  is  to  capture  
signals  around  each  user  as  they  browse  your  site,  whether  they’ve  
done  it  once,  twice,  or  32  7mes  before  signing  up.    
  
One  way  to  iden7fy  anonymous  users  is  to  assign  each  one  a  unique  
ID,  with  represents  their  user  profile;  the  more  ac7ons  they  take,  the  
more  it  grows.    
  
You  can  then  use  that  ID  to  iden7fy  them  each  7me  they  come  back,  
which  allows  you  to  serve  up  content  recommenda7ons  that  are  
specifically  relevant  to  them.    
  
It’s  also  a  great  way  to  breathe  new  life  into  your  evergreen  content,  
or  make  sure  your  newsworthy  content  reaches  the  people  that  care  
about  it.  
  
Then,  once  that  unknown  visitor  makes  themselves  known  via  opt-­‐in  
(the  most  common  scenario),  you’ll  need  to  merge  that  data  with  
their  email.    
Step  #1:  iden7fica7on  
Anonymous  Users  Are  People,  Too   7
-­‐  Quote’s  source  
Next,  you  learn  about  your  anonymous  users.  Learning  translates  into  
tracking  behavioral  data,  i.e.  informa7on  about  the  ac7ons  they  take  
online.  (Some  examples:  watching  a  video,  adding  an  item  to  the  
shopping  cart,  etc.)  Every  day,  your  anonymous  users  give  you  heaps  
of  it  by  simply  browsing  your  site—why  not  make  the  most  of  it?    
Step  #2:  learning  
Real-­‐7me,  first-­‐party  behavioral  data  is  extremely  
valuable:  Facebook  and  LinkedIn  have  built  businesses  
on  it,  using  it  to  surface  relevant  content  for  each  of  
their  users  and  make  their  planorms  borderline  
addic7ve.  (Emphasis  on  first-­‐party:  since  it’s  their  data,  
they  have  full  control  of  it.)    
The  power  of  behavioral  data    
You  don’t  just  want  to  know  if  an  anonymous  user  has  clicked  on  a  
post,  though.  On  its  own,  that  informa7on  doesn’t  help  you  much.  
You  want  to  understand  what  kind  of  content  they  clicked.  Have  they  
been  reading  posts  about  supernatural  phenomena  or  the  future  of  
transporta7on?  Are  they  watching  videos  on  making  steak  or  training  
puppies?      
  
Anonymous  Users  Are  People,  Too   8
Tracking  anonymous  ac7vity  also  gives  you  a  great  idea  of  what’s  
popular  and  trending  on  your  site,  and  with  whom.    
  
If  you  make  content  recommenda7ons,  tracking  anonymous  ac7vity    
allows  you  to  measure  them  against  a  baseline  (e.g.  do  personalized  
recommenda7ons  drive  more  clicks  than  popular  recommenda7ons?).  
  
These  deep  insights  around  user  behavior  can  also  guide  your  
editorial  strategy,  helping  you  figure  out  which  themes  produce  
results  and  what  types  of  content  to  create  next.  
Anonymous  Users  Are  People,  Too   9
The  power  of  seman7c  analysis  
To  really  understand  a  user’s  on-­‐site  behavior,  you  need  
two  basic  components:    
  
1.  An  understanding  of  the  user  
2.  An  understanding  of  the  content  
As  a  star7ng  point,  you  can  gain  an  understanding  of  the  
content  by  simply  taking  tagged  keywords  into  account.  
The  problem  with  these  tags  is  that  they’re  o_en  
inconsistent  and  not  quite  representa7ve  of  the  content  
(e.g.  a  post  could  be  tagged  “surfing”  when  it’s  mostly  
about  a  father-­‐son  rela7onship).  Ah,  human  error.  
  
Seman;c  analysis,  the  process  in  which  a  machine  uses  
contextual  clues  surrounding  words  and  phrases  to  beQer  
understand  the  prac7cal  meaning  of  content,  provides  a  
more  accurate  view  of  what  each  piece  of  content  is  
about.  For  example,  seman7c  analysis  allows  machines  to  
understand  the  difference  between  a  jaguar  (as  in  the  
animal)  and  a  Jaguar  (as  in  the  car).    
Anonymous  Users  Are  People,  Too   10
-­‐  Quote’s  source  
In  this  sec7on,  we  outline  how  we  advise  our  customers  to  engage  
their  anonymous  users.  If  you’re  not  currently  a  Boomtrain  customer,  
you’ll  likely  find  ideas  you  can  implement  on  your  own.  To  make  
things  as  diges7ble  as  possible,  we’re  going  to  review  this  informa7on  
through  the  eyes  of  our  old  friend  FeedBuzz,  a  hypothe7cal  digital  
media  brand  whose  traffic  is  90%  anonymous.    
  
First,  each  anonymous  FeedBuzz  user  automa7cally  gets  a  unique  
Boomtrain  ID  that  allows  the  company  to:  
  
1.  Personalize  to  users  while  they’re  s7ll  anonymous    
2.  A?ribute  their  anonymous  user  data  to  their  email  address  once  
they  become  known    
  
Step  #3:  engagement  
The  power  of  aQribu7on  
Making  sure  you  transfer  someone’s  anonymous  user  
data  to  their  known  user  profile  is  incredibly  important;  
we  can’t  stress  this  point  enough.  A  user  doesn’t  become  
a  totally  different  person  once  they  sign  up,  so  why  
discard  their  anonymous  user  data  as  soon  as  they  
provide  an  email  address?    
Anonymous  Users  Are  People,  Too   11
Let’s  say  a  new  user  is  browsing  FeedBuzz.com  for  the  first  7me,  and  
FeedBuzz  iden7fies  them  as  User  12345.  As  the  user  scrolls  down  the  
homepage,  they  no7ce  a  widget  7tled  Recommended  For  You.  It’s  
serving  popular  content  right  now,  since  User  12345  hasn’t  done  
enough  to  let  FeedBuzz  know  what  to  recommend.    
  
One  of  those  popular  ar7cles  is  a  profound  piece  7tled  “The  Future  of  
U.S.  Monetary  Policy”—just  kidding,  it’s  10  Camels  That  Could  Totally  
Be  Models  (#8  is  Seriously  Killing  It).  (What?  We’re  just  being  
realis7c.)    
Anonymous  Users  Are  People,  Too   12
The  user  clicks  it  and  proceeds  to  spend  45  minutes  on  the  site.  Now,  
every  7me  User  12345  visits  FeedBuzz,  the  Recommended  For  You  
sec7on  is  populated  with  ar7cles  tailored  to  their  interests.    
  
As  User  12345  spends  more  and  more  7me  on  the  site,  they  decide  
to  subscribe  to  the  FeedBuzz  newsleQer.  Boom!  Now  FeedBuzz  
knows  that  User  12345  is  actually  Emily:    
Anonymous  Users  Are  People,  Too   13
To  start  things  off  on  the  right  foot,  FeedBuzz  sends  Emily  a  welcome  
email  with  par;cularly  relevant  recommenda;ons.  (We’re  using  the  
data  we  collected  on  her  while  she  was  anonymous,  remember?)  
She’s  especially  delighted  by  the  following  personalized  content  
recommenda7on:  Cat-­‐Themed  CraIing  Projects.  
  
A  great  welcome  email  is  a  lot  like  a  post-­‐date  text.  It  reminds  the  
user  of  you,  shows  that  you’ve  been  listening  aQen7vely,  and  sets  
expecta7ons  for  future  interac7ons.  
Anonymous  Users  Are  People,  Too   14
The  power  of  a  winning  welcome  series  
If  you  don’t  currently  have  a  welcome  series  set  up,  we  
highly  recommend  it!  According  to  Econsultancy,  welcome  
emails  have  63%  higher  open  rates  and  105%  higher  
unique  click-­‐through  rates  than  other  kinds  of  emails.    
    
Some  7ps  for  crea7ng  a  great  welcome  series:    
  
1.  Send  the  first  email  in  the  welcome  series  as  soon  as  
possible—immediately  is  ideal—to  maximize  the  chance  
of  engagement.      
2.  Let  subscribers  know  what  kinds—and  how  many  
emails—to  expect  (e.g.  “This  is  a  four-­‐part  welcome  
series…”).  
3.  Use  the  user’s  behavioral  data  to  send  content  that’s  
specifically  relevant  to  them.  
4.  Try  providing  some  kind  of  offer  or  unique  piece  of  
content;  reference  it  in  the  subject  line  to  increase  the  
open  rate.  S7ll,  make  sure  the  subject  line  specifies  
that  the  subscriber  is  receiving  a  welcome  email  (e.g.  
“Thanks  for  subscribing—enjoy  your  20%  off!”).  
Anonymous  Users  Are  People,  Too   15
The  more  ;me  Emily  spends  with  FeedBuzz’s  website  and  emails,  the  
more  relevant  her  recommenda;ons  get.  That’s  because  the  
recommenda7ons  are  powered  by  our  machine  learning  planorm,  
which  constantly  tests  and  refines  its  sta7s7cal  models  and  
algorithms  against  new  and  exis7ng  data.  It  also  adds  an  element  of  
serendipitous  discovery  to  generate  new  insights  about  individual  
users  and  content  once  gains  begin  to  plateau.  
  
In  a  few  months,  Emily  goes  from  an  uniden;fied  anonymous  user,  to  
an  iden;fied  anonymous  user,  to  a  known  user,  to  a  power  user—
someone  who’s  made  FeedBuzz  part  of  her  daily  rou7ne.    
Anonymous  Users  Are  People,  Too   16
Iden7fying  and  tracking  anonymous  users  is  both  an  acquisi;on  
strategy  and  a  reten;on  strategy.  In  fact,  marketers  shouldn’t  
necessarily  think  of  the  two  as  separate  things.  They  work  hand-­‐in-­‐
hand;  they  supercharge  one  another.    
  
Personaliza;on  at  every  stage  of  a  user’s  journey  gives  you  a  holis;c  
picture  of  them,  one  that’s  crucial  for  building  a  long-­‐las7ng  
rela7onship.  To  revisit  the  da7ng  metaphor,  it  helps  you  catch  their  
eye  while  they’re  s7ll  anonymous,  get  them  to  go  on  a  date  with  you  
(i.e.  give  you  their  email  address),  and  ul7mately  demonstrate  that  
you  really  “get”  them,  and  that  spending  lots  of  7me  with  you  is  worth  
it.  Wow  them  enough,  and  they  might  even  introduce  you  to  friends  
and  family.  
  
Meanwhile,  by  recommending  ar7cles  based  on  relevance  instead  of  
recency,  you’re  making  full  use  of  your  evergreen  content—stuff  that  
otherwise  gets  buried  in  the  far  reaches  of  your  site.    
  
If  you  show  your  anonymous  users  some  love,  they’ll  show  your  
content  some  love,  which  will  help  you  send  them  even  beQer  
content.  It’s  a  virtuous  cycle.    
Crea7ng  a  virtuous  cycle  
Anonymous  Users  Are  People,  Too   17
Key  takeaways  
1.  One  of  the  best  ways  to  turn  anonymous  users  
into  power  users  is  to  personalize  at  every  stage  
of  the  funnel.    
2.  Don’t  just  think  about  how  many  users  you’ve  
got.  Think  about  how  to  create  power  users—and  
once  you’ve  got  the  magic  formula,  think  about  
how  to  scale  it.    
3.  Tracking  anonymous  users  is  only  helpful  when  
you  can  aQribute  their  data  to  their  email  
addresses  once  they  sign  up.    
4.  When  someone  gives  you  their  email,  they’ve  put  
a  lot  of  trust  in  you.  Show  them  that  they  did  the  
right  thing  by  making  a  great  first  impression  (e.g.  
sending  an  A+  welcome  series  with  content  that’s  
relevant  specifically  to  them).    
Anonymous  Users  Are  People,  Too   18

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Anonymous_Users_Are_People_Too

  • 1. Anonymous  Users  Are   People,  Too   How  to  Engage  Them,  Convert  Them,  and   Turn  Them  Into  Power  Users    
  • 2. Why  understand  anonymous  users?  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .      3   From  unknown  to  known  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .    6   Iden7fica7on  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  7   Learning  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  8   Engagement  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .    11   Crea7ng  a  virtuous  cycle  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  17   Key  takeaways  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .    18   Anonymous  Users  Are  People,  Too   2 Table  of  Contents  
  • 3. Why  understand  anonymous  users?   Most  marketers  have  thought  about  personalizing  to  known  users— people  who’ve  signed  up,  subscribed,  or  otherwise  submiQed  their   emails.  It’s  smart  to  give  those  users  personal  aQen7on:  that’s  how   you  build  loyalty.  But  what  about  everyone  else?       According  to  research  from  VentureBeat,  between  57%  and  98%  of   your  audience  is  likely  anonymous.  So,  if  you’re  just  personalizing  to   your  known  users,  you’re  only  op7mizing  your  experience  for  a  7ny   slice  of  your  audience.  You’re  missing  out  on  the  opportunity  to   engage  the  vast  majority  of  your  users—and  perhaps  more   importantly,  you’re  not  giving  anonymous  users  a  compelling  reason   to  make  themselves  known.         Trea7ng  anonymous  users  like  they’re  all  the  same  is  standard,  but   trea7ng  them  like  future  VIPs  sets  the  founda7on  for  long-­‐las;ng   rela;onships.  If  you  show  your  anonymous  users  that  you  understand   them—and  tailor  their  experiences  accordingly—they’re  likelier  to   engage,  sign  up,  and  ul7mately  join  your  cadre  of  power  users.  And   trust  us:  you  want  to  make  your  number  of  power  users  as  big  as   possible.             Anonymous  Users  Are  People,  Too   3
  • 4. The  power  of  power  users   Have  you  heard  of  the  80/20  rule?  Applied  to  sales,  it   s7pulates  that  80%  of  your  revenue  comes  from  20%  of   your  customers—your  power  users,  so  to  speak.  The   reality  is  actually  even  more  extreme:  in  retail,  5%  of   customers  o_en  generate  a  third  of  revenue.     As  the  7tle  of  this  eBook  implies,  we’re  going  to  talk  about  concrete   steps  you  can  take  to  turn  those  anonymous  users  into  power  users   that  drive  your  bo?om  line.  First,  though,  we’re  going  to  address  a   common  mistake  businesses  make  when  trying  to  increase  sign-­‐ups.   Many  businesses  put  their  weight  behind  geang  more  traffic,  never   taking  the  7me  to  collect  or  understand  data  on  individual  users.  This   volume-­‐based  approach  gets  the  job  done,  but  it’s  not  efficient  in  the   long  run.   Anonymous  Users  Are  People,  Too   4
  • 5. Let’s  say  the  hypothe7cal  website  FeedBuzz.com  had  100  visitors  one   month.  10%  signed  up,  neang  FeedBuzz  10  known  users.       Now,  let’s  say  FeedBuzz  decided  to  focus  on  driving  traffic  and  got   200  visitors  the  following  month.  200  x  0.10  =  20  known  users.     But  let’s  imagine  an  alternate  scenario:  along  with  upping  traffic  to   200  visitors,  FeedBuzz  tracked  those  new  users’  data,  using  it  to   increase  its  conversion  rate  to  20%.  200  x  0.20  =  40  known  users.     That’s  4x  the  amount  it  got  the  first  month.  And  if  FeedBuzz  were  to   build  on  those  rela7onships  to  create  40  new  power  users?  Boom:   Now  that’s  what  we  call  engagement.  By  using  data  to  engage  users   at  every  stage  of  the  funnel,  FeedBuzz  made  the  most  of  its  traffic.     Anonymous  Users  Are  People,  Too   5
  • 6. So,  how  are  brands  approaching  this  challenge?  How  are  they   convincing  anonymous  users  to  make  themselves  known?  Frankly,   conver7ng  an  anonymous  user  is  a  lot  like  winning  over  a  date:  you’ll   do  well  if  you  make  them  feel  special  from  the  very  beginning.       The  three  mains  steps:       1.  Iden;fying  anonymous  users   2.  Learning  about  their  preferences   3.  Engaging  them  by  drawing  upon  that  data     From  unknown  to  known:   personalizing  throughout  the  user   journey   Anonymous  Users  Are  People,  Too   6
  • 7. -­‐  Quote’s  source   In  today’s  digital  world,  iden;fying  your  users  early  and  oIen  is  one   of  the  most  important  steps  you  can  take.  The  goal  is  to  capture   signals  around  each  user  as  they  browse  your  site,  whether  they’ve   done  it  once,  twice,  or  32  7mes  before  signing  up.       One  way  to  iden7fy  anonymous  users  is  to  assign  each  one  a  unique   ID,  with  represents  their  user  profile;  the  more  ac7ons  they  take,  the   more  it  grows.       You  can  then  use  that  ID  to  iden7fy  them  each  7me  they  come  back,   which  allows  you  to  serve  up  content  recommenda7ons  that  are   specifically  relevant  to  them.       It’s  also  a  great  way  to  breathe  new  life  into  your  evergreen  content,   or  make  sure  your  newsworthy  content  reaches  the  people  that  care   about  it.     Then,  once  that  unknown  visitor  makes  themselves  known  via  opt-­‐in   (the  most  common  scenario),  you’ll  need  to  merge  that  data  with   their  email.     Step  #1:  iden7fica7on   Anonymous  Users  Are  People,  Too   7
  • 8. -­‐  Quote’s  source   Next,  you  learn  about  your  anonymous  users.  Learning  translates  into   tracking  behavioral  data,  i.e.  informa7on  about  the  ac7ons  they  take   online.  (Some  examples:  watching  a  video,  adding  an  item  to  the   shopping  cart,  etc.)  Every  day,  your  anonymous  users  give  you  heaps   of  it  by  simply  browsing  your  site—why  not  make  the  most  of  it?     Step  #2:  learning   Real-­‐7me,  first-­‐party  behavioral  data  is  extremely   valuable:  Facebook  and  LinkedIn  have  built  businesses   on  it,  using  it  to  surface  relevant  content  for  each  of   their  users  and  make  their  planorms  borderline   addic7ve.  (Emphasis  on  first-­‐party:  since  it’s  their  data,   they  have  full  control  of  it.)     The  power  of  behavioral  data     You  don’t  just  want  to  know  if  an  anonymous  user  has  clicked  on  a   post,  though.  On  its  own,  that  informa7on  doesn’t  help  you  much.   You  want  to  understand  what  kind  of  content  they  clicked.  Have  they   been  reading  posts  about  supernatural  phenomena  or  the  future  of   transporta7on?  Are  they  watching  videos  on  making  steak  or  training   puppies?         Anonymous  Users  Are  People,  Too   8
  • 9. Tracking  anonymous  ac7vity  also  gives  you  a  great  idea  of  what’s   popular  and  trending  on  your  site,  and  with  whom.       If  you  make  content  recommenda7ons,  tracking  anonymous  ac7vity     allows  you  to  measure  them  against  a  baseline  (e.g.  do  personalized   recommenda7ons  drive  more  clicks  than  popular  recommenda7ons?).     These  deep  insights  around  user  behavior  can  also  guide  your   editorial  strategy,  helping  you  figure  out  which  themes  produce   results  and  what  types  of  content  to  create  next.   Anonymous  Users  Are  People,  Too   9
  • 10. The  power  of  seman7c  analysis   To  really  understand  a  user’s  on-­‐site  behavior,  you  need   two  basic  components:       1.  An  understanding  of  the  user   2.  An  understanding  of  the  content   As  a  star7ng  point,  you  can  gain  an  understanding  of  the   content  by  simply  taking  tagged  keywords  into  account.   The  problem  with  these  tags  is  that  they’re  o_en   inconsistent  and  not  quite  representa7ve  of  the  content   (e.g.  a  post  could  be  tagged  “surfing”  when  it’s  mostly   about  a  father-­‐son  rela7onship).  Ah,  human  error.     Seman;c  analysis,  the  process  in  which  a  machine  uses   contextual  clues  surrounding  words  and  phrases  to  beQer   understand  the  prac7cal  meaning  of  content,  provides  a   more  accurate  view  of  what  each  piece  of  content  is   about.  For  example,  seman7c  analysis  allows  machines  to   understand  the  difference  between  a  jaguar  (as  in  the   animal)  and  a  Jaguar  (as  in  the  car).     Anonymous  Users  Are  People,  Too   10
  • 11. -­‐  Quote’s  source   In  this  sec7on,  we  outline  how  we  advise  our  customers  to  engage   their  anonymous  users.  If  you’re  not  currently  a  Boomtrain  customer,   you’ll  likely  find  ideas  you  can  implement  on  your  own.  To  make   things  as  diges7ble  as  possible,  we’re  going  to  review  this  informa7on   through  the  eyes  of  our  old  friend  FeedBuzz,  a  hypothe7cal  digital   media  brand  whose  traffic  is  90%  anonymous.       First,  each  anonymous  FeedBuzz  user  automa7cally  gets  a  unique   Boomtrain  ID  that  allows  the  company  to:     1.  Personalize  to  users  while  they’re  s7ll  anonymous     2.  A?ribute  their  anonymous  user  data  to  their  email  address  once   they  become  known       Step  #3:  engagement   The  power  of  aQribu7on   Making  sure  you  transfer  someone’s  anonymous  user   data  to  their  known  user  profile  is  incredibly  important;   we  can’t  stress  this  point  enough.  A  user  doesn’t  become   a  totally  different  person  once  they  sign  up,  so  why   discard  their  anonymous  user  data  as  soon  as  they   provide  an  email  address?     Anonymous  Users  Are  People,  Too   11
  • 12. Let’s  say  a  new  user  is  browsing  FeedBuzz.com  for  the  first  7me,  and   FeedBuzz  iden7fies  them  as  User  12345.  As  the  user  scrolls  down  the   homepage,  they  no7ce  a  widget  7tled  Recommended  For  You.  It’s   serving  popular  content  right  now,  since  User  12345  hasn’t  done   enough  to  let  FeedBuzz  know  what  to  recommend.       One  of  those  popular  ar7cles  is  a  profound  piece  7tled  “The  Future  of   U.S.  Monetary  Policy”—just  kidding,  it’s  10  Camels  That  Could  Totally   Be  Models  (#8  is  Seriously  Killing  It).  (What?  We’re  just  being   realis7c.)     Anonymous  Users  Are  People,  Too   12
  • 13. The  user  clicks  it  and  proceeds  to  spend  45  minutes  on  the  site.  Now,   every  7me  User  12345  visits  FeedBuzz,  the  Recommended  For  You   sec7on  is  populated  with  ar7cles  tailored  to  their  interests.       As  User  12345  spends  more  and  more  7me  on  the  site,  they  decide   to  subscribe  to  the  FeedBuzz  newsleQer.  Boom!  Now  FeedBuzz   knows  that  User  12345  is  actually  Emily:     Anonymous  Users  Are  People,  Too   13
  • 14. To  start  things  off  on  the  right  foot,  FeedBuzz  sends  Emily  a  welcome   email  with  par;cularly  relevant  recommenda;ons.  (We’re  using  the   data  we  collected  on  her  while  she  was  anonymous,  remember?)   She’s  especially  delighted  by  the  following  personalized  content   recommenda7on:  Cat-­‐Themed  CraIing  Projects.     A  great  welcome  email  is  a  lot  like  a  post-­‐date  text.  It  reminds  the   user  of  you,  shows  that  you’ve  been  listening  aQen7vely,  and  sets   expecta7ons  for  future  interac7ons.   Anonymous  Users  Are  People,  Too   14
  • 15. The  power  of  a  winning  welcome  series   If  you  don’t  currently  have  a  welcome  series  set  up,  we   highly  recommend  it!  According  to  Econsultancy,  welcome   emails  have  63%  higher  open  rates  and  105%  higher   unique  click-­‐through  rates  than  other  kinds  of  emails.         Some  7ps  for  crea7ng  a  great  welcome  series:       1.  Send  the  first  email  in  the  welcome  series  as  soon  as   possible—immediately  is  ideal—to  maximize  the  chance   of  engagement.       2.  Let  subscribers  know  what  kinds—and  how  many   emails—to  expect  (e.g.  “This  is  a  four-­‐part  welcome   series…”).   3.  Use  the  user’s  behavioral  data  to  send  content  that’s   specifically  relevant  to  them.   4.  Try  providing  some  kind  of  offer  or  unique  piece  of   content;  reference  it  in  the  subject  line  to  increase  the   open  rate.  S7ll,  make  sure  the  subject  line  specifies   that  the  subscriber  is  receiving  a  welcome  email  (e.g.   “Thanks  for  subscribing—enjoy  your  20%  off!”).   Anonymous  Users  Are  People,  Too   15
  • 16. The  more  ;me  Emily  spends  with  FeedBuzz’s  website  and  emails,  the   more  relevant  her  recommenda;ons  get.  That’s  because  the   recommenda7ons  are  powered  by  our  machine  learning  planorm,   which  constantly  tests  and  refines  its  sta7s7cal  models  and   algorithms  against  new  and  exis7ng  data.  It  also  adds  an  element  of   serendipitous  discovery  to  generate  new  insights  about  individual   users  and  content  once  gains  begin  to  plateau.     In  a  few  months,  Emily  goes  from  an  uniden;fied  anonymous  user,  to   an  iden;fied  anonymous  user,  to  a  known  user,  to  a  power  user— someone  who’s  made  FeedBuzz  part  of  her  daily  rou7ne.     Anonymous  Users  Are  People,  Too   16
  • 17. Iden7fying  and  tracking  anonymous  users  is  both  an  acquisi;on   strategy  and  a  reten;on  strategy.  In  fact,  marketers  shouldn’t   necessarily  think  of  the  two  as  separate  things.  They  work  hand-­‐in-­‐ hand;  they  supercharge  one  another.       Personaliza;on  at  every  stage  of  a  user’s  journey  gives  you  a  holis;c   picture  of  them,  one  that’s  crucial  for  building  a  long-­‐las7ng   rela7onship.  To  revisit  the  da7ng  metaphor,  it  helps  you  catch  their   eye  while  they’re  s7ll  anonymous,  get  them  to  go  on  a  date  with  you   (i.e.  give  you  their  email  address),  and  ul7mately  demonstrate  that   you  really  “get”  them,  and  that  spending  lots  of  7me  with  you  is  worth   it.  Wow  them  enough,  and  they  might  even  introduce  you  to  friends   and  family.     Meanwhile,  by  recommending  ar7cles  based  on  relevance  instead  of   recency,  you’re  making  full  use  of  your  evergreen  content—stuff  that   otherwise  gets  buried  in  the  far  reaches  of  your  site.       If  you  show  your  anonymous  users  some  love,  they’ll  show  your   content  some  love,  which  will  help  you  send  them  even  beQer   content.  It’s  a  virtuous  cycle.     Crea7ng  a  virtuous  cycle   Anonymous  Users  Are  People,  Too   17
  • 18. Key  takeaways   1.  One  of  the  best  ways  to  turn  anonymous  users   into  power  users  is  to  personalize  at  every  stage   of  the  funnel.     2.  Don’t  just  think  about  how  many  users  you’ve   got.  Think  about  how  to  create  power  users—and   once  you’ve  got  the  magic  formula,  think  about   how  to  scale  it.     3.  Tracking  anonymous  users  is  only  helpful  when   you  can  aQribute  their  data  to  their  email   addresses  once  they  sign  up.     4.  When  someone  gives  you  their  email,  they’ve  put   a  lot  of  trust  in  you.  Show  them  that  they  did  the   right  thing  by  making  a  great  first  impression  (e.g.   sending  an  A+  welcome  series  with  content  that’s   relevant  specifically  to  them).     Anonymous  Users  Are  People,  Too   18