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How to leverage your linked in contacts better!


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How to leverage your linked in contacts better! Quick and cost free way to use your network in LinkedIn and other social media websites.

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How to leverage your linked in contacts better!

  1. 1. 1 How  to  Leverage  Your  LinkedIn  Contacts  Better!     For  those  of  you  that  have  a  LinkedIn  account  that  is  active  –  how  is  it  going  for  you?  Are  you   maximizing  those  relationships  to  their  full  potential?  If  the  answer  is  no  or  you  are  not  sure  let’s   explore  this  in  more  detail.  We  have  all  had  a  needed  to  utilize  our  LinkedIn  account  to  find  talent   in  our  personal  network  or  extended  networks.  But  perhaps  you  want  a  faster  way  to  pinpoint   those  connections.  This  is  the  quick  and  free  solution  for  you.  I  call  it  my  modern  day  custom   Rolodex  at  the  tip  of  my  fingers.     Our  relationships  can  be  categorized,  tagged  and  data  mined.  Whew  –  seems  a  little  too  much  to   imagine.  But  yes  we  can  get  analytical  data  from  our  social  media  relationships.  Let’s  dig  into   categorization  of  our  contacts  in  LinkedIn.     Here  are  my  custom  categories  of  relationships  compared  to  Google,  Twitter  and  Facebook.   Custom     Google  +   Twitter   Facebook   •   Acquaintance   •   Co-­Worker   •   Colleague   •   Friend   •   Friends   •   Family   •   Acquaintances   •   Following   •   Public   •   Private   •   Friends   •   Friends  of  Friends   •   Friends  except   Acquaintances   •   Everyone     As  you  can  see  my  custom  view  is  based  on  4  tiers.  Acquaintances  are  people  you  may  never   have  met  but  you  have  similar  interest,  connections  or  affiliations.  Co-­workers  worked  with  you   presently  or  in  the  past.  Colleagues  are  job  related  people  or  professionalbusiness  relationships.   Friends  are  people  who  truly  know  you  andor  your  family.  I  often  say  friends  know  you  personally   and  your  relationship  exists  outside  work  or  business.       You  can  definitely  add  more  layers  if  needed  however,  I  believe  in  keeping  it  simple.  Some   people  my  want  to  distinguish  family  members  from  friends.  Others  may  want  to  distinguish  levels   such  as  school-­mates,  organization  relationships,  activity  groups,  etc.       In  this  article  I  will  concentrate  on  LinkedIn  only.  First  export  your  entire  LinkedIn  Connections   listings.  LinkedIn  provides  various  file  format  types  to  extract  data.  (Microsoft  Outlook,  Outlook   Express,  Yahoo  Mail,  Mac  OS  X,  vCard).  My  example  is  based  on  the  Microsoft  Outlook  .CSV   extract.  It  has  60  data  fields  (60  columns).  The  default  file  name  is   linkedin_connections_export_microsoft_outlook.csv                    
  2. 2. 2   Open  the  file  in  Excel  and  sort  the  data  as  you  see  fit.  I  prefer  to  sort  by  Company,  Job  Title,   Name.  You  can  remove  the  blank  fields  and  add  your  own  custom  fields.  I  print  my  list  to  review  a   hard  copy.  I  then  run  through  my  listings  of  people  and  add  additional  attributes  to  my  custom   fields  or  the  default  fields.  I  then  enter  those  data  points  into  my  original  spreadsheet  and  save.   You  will  notice  a  lot  of  columns  are  empty.  Simply  update  them  and  save  your  work.     As  you  separate  people  in  your  excel  spreadsheet  by  categories  let’s  add  some  more  depth.  You   will  see  some  generic  fields  of  information  in  plain  text  below.  Our  strategic  data  is  summing  up   details  of  people’s  profiles  into  custom  fields  (listed  in  BOLD  lettering).  See  below:   Criteria   Example:  Jane  Doe   1.   Job  Title     2.   Job  Type   3.   Company     4.   Department   5.   Region   6.   State   7.   Industry   8.   College   9.   Degree   10.   Career  Role  1  (Sales,  Recruit,  HR)   11.   Career  Role  2  (Sales,  Recruit,  HR)   12.   Career  Role  3  (Sales,  Recruit,  HR)   13.   Career  Role  4  (Sales,  Recruit,  HR)   14.   Career  Role  5  (Sales,  Recruit,  HR)   15.   Interests  1   16.   Interests  2   17.   Interests  3   18.   Birthday   19.   Webpage   20.   Interesting  Fact   1.   Director  of  Sales   2.   Director   3.   ABC  Telecom  Corporation   4.   North  America  Sales   5.   North  East   6.   New  York   7.   Telecommunications   8.   Cornell  University   9.   Management     10.   MFG   11.   Management   12.   Trainer   13.   Product  Manager   14.   Management   15.   Photography   16.   Boys  &  Girls  Club   17.   Charity   18.   1/1/1965   19.   20.   Nationally  ranked  lacrosse  player       Another  way  to  view  your  data  is  to  create  PivotTable  to  help  you  slice  and  dice  the  data  in   different  views.  You  can  group  and/or  sort  the  data  based  on  select  search  criteria.  For  example,   filter  by  State,  College,  Company,  Job  Title,  Department,  Career  Role,  etc.     Now  you  have  a  template  to  add  more  social  media  contacts  to  in  Excel.  Imagine  if  you  add  all   your  social  media  contacts  to  this  document.  You  can  import  this  into  your  Smart  Phone  and  or   Computer  Address  Book  applications  (i.e.  Outlook,  Apple  Contacts,  Google  Contacts).  Note:  Your   custom  fields  will  not  all  be  applicable.  But  you  could  send›  a  few  to  the  Comments/Notes  field.     As  you  add  more  people  and/or  businesses  you  can  aggregate  your  network  in  various   segments.  Think  of  the  value  your  connections  provide  you  in  a  business  aspect.  You  can  sort   and  rank  them  by  Industry,  Job  Title,  College,  etc.  Friends  out  rank  Acquaintances  as  an   example.  So  as  you  equate  the  value  of  contacting  people  the  relationship  ranking  displays  best   plausible  return.  Meaning  the  more  you  have  in  common  with  a  contact  it  exponentially  increases   the  chances  of  a  quality  relationship.  People  like  to  befriend  and  work  with  those  who  have  things   in  common  with  them.     Lastly  you  could  import  this  custom  Rolodex  into  a  database  of  contacts  for  all  types  of  usage.   For  example,  you  need  a  speaker  for  your  favorite  charity  go  to  your  custom  Rolodex.  Going  to  a   college  football  game  need  to  see  who  is  a  football  fan  like  you  –  go  to  your  custom  RolodexYour   child  needs  to  interview  a  lacrosse  player  –  go  to  your  custom  Rolodex.  You  get  the  idea.     Written  by  Derris  Boomer  of  Boomer  Technology  Group,  LLC.    
  3. 3. 3     Example  fields  in  .CSV  file:  linkedin_connections_export_microsoft_outlook.csv   1.   Title     2.   First  Name     3.   Middle  Name     4.   Last  Name     5.   Suffix     6.   E-­mail  Address     7.   E-­mail  2  Address     8.   E-­mail  3  Address     9.   Business  Street     10.   Business  Street  2     11.   Business  Street  3     12.   Business  City     13.   Business  State     14.   Business  Postal  Code     15.   Business  Country     16.   Home  Street     17.   Home  Street  2     18.   Home  Street  3     19.   Home  City     20.   Home  State     21.   Home  Postal  Code     22.   Home  Country     23.   Other  Street     24.   Other  Street  2     25.   Other  Street  3     26.   Other  City     27.   Other  State     28.   Other  Postal  Code     29.   Other  Country     30.   Company     31.   Department     32.   Job  Title     33.   Assistant's  Phone     34.   Business  Fax     35.   Business  Phone     36.   Business  Phone  2     37.   Callback     38.   Car  Phone     39.   Company  Main  Phone     40.   Home  Fax     41.   Home  Phone     42.   Home  Phone  2     43.   ISDN     44.   Mobile  Phone     45.   Other  Fax     46.   Other  Phone     47.   Pager     48.   Primary  Phone     49.   Radio  Phone     50.   TTY/TDD  Phone     51.   Telex     52.   Assistant's  Name     53.   Birthday     54.   Manager's  Name     55.   Notes     56.   Other  Address     57.   PO  Box     58.   Spouse     59.   Web  Page     60.   Personal  Web  Page