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RESEARCH, ANALYSIS & TRENDS




       AI and automation are changing search               of the future. If AI is used properly, it will make search
       engine advertising                                  engine advertising better in the future.

       Intelligent  technologies  are  already  taking  over  some   Why marketers should focus on machine
       operational activities in search engine advertising (SEA).  learning
       For  example,  Google  uses  "smart  bidding"  machine
       learning  to  make  bidding  smart.  With  Dynamic  Search  Machine Learning (ML) actively supports advertisers in
       Ads,  Google  can  crawl  sites  now  of  a  keyword  search  analyzing  user  behavior  and  displaying  targeted  ads.
       and  build  the  appropriate  headline  based  on  a  dummy  Machine  learning  can  map  the  entire  buying  process
       ad  stored.  Manual  creation  of  ads  will  increasingly  be  across multiple devices and channels, making machine
       eliminated.  The  time  saved  can  and  must  be  used  to  learning an indispensable technology in order to stand
       optimally set up and supervise the campaigns. Even as  up  to  the  competition  and  efficiently  win  new
       systems are increasingly deployed, that promise largely  customers.
       automated  campaign  creation  and  control,  experience
       shows  that  continued  optimization  is  still  required.  Due  to  the  increasing  use  of  smartphones,  the  usage
       Particularly in the event of deviations from the expected,  and search behavior is changing. Mobile devices have
       operative  SEA  -  craftsmanship  will  continue  to  be  in  long  overtaken  the  desktop  in  use,  but  typing  is
       demand in the future.                               annoying for many users,  so they  increasingly  access
                                                           the  language  assistant.  The  search  terms  are  simply
       Understand and master technology                    spoken.  In  the  Google  App,  20%  of  searches  are
                                                           already  done  by  voice,  hence,  Google  is  heavily
       Campaign  control  through  AI  and  automation  will   working  on  a  perfectly  functioning  online  search  for
       continue to improve. The more information available as   Artificial  Intelligence.  The  Google  Assistant  is  about
       data  for  decision-making,  the  more  operational  human   voice  search  to  find  pictures  and  answers  to  complex
       labor  is  reduced.  But  who  guarantees  us  that  the   questions.  As  the  search  changes,  advertisers  must
       algorithms  always  meet  the  needs  of  consumers  and   also  go  new  ways,  which  means  advertisers  won’t  be
       meet  the  high  expectations  that  we  place  on  AI?   able to get past Voice Search.
       Advertisers  are  likely  to  have  questions  even  when
       everything  seems  to  run  perfectly.  At  the  latest,  when   This  development  also  has  a  new  requirement  for
       sales collapse, growth fails or certain products and offers   technology, since the traditional keyword set does not
       are  no  longer  in  demand,  someone  must  give  an   work  anymore,  but  machine  learning.  The  amount  of
       explanation.  Humans  must  adjust  the  systems  and  be   voice input is challenging itself. Users ask very specific
       able  to  make  individual  adjustments  according  to  their   questions and expect accordingly very specific results.
       concept,  strategy,  industry  and  goals.  Only  those  who
       understand  the  technology  can  unleash  it  in  the  right   There are many suppliers in the market by now, but so
       moment and setting - and thus develop the potential of   far  Google  AdWords  campaigns  have  been  created
       AI and automation. This requires experienced specialists   and optimized manually  or via bid management tools.
       or  trustworthy  partners  who  combine  operative   Machine learning algorithms automate targeted playout
       experience,   technical   know-how   and   industry   and  optimization.  A  possible  example  would  be  an
       knowledge.                                          evaluation of whether the user was searching from an
                                                           iPhone, Android device or browser. AI can capture this
       The problems and limitations of AI                  and deliver targeted ads.
                                                           The  work  of  SEA  experts  is  facilitated  by  ML,  as  the
       If  systems  ultimately  only  regulate  numbers,  facts  and
       hard  KPIs,  campaigns  quickly  reach  their  limits.  The   technology  can  simplify  data  analysis  and  campaign
       most important thing is and remains the interested and   automation. In addition, the evaluation of the customer
       ready-to-buy consumer. Whether local retailer or mega-  journey  is  simplified,  and  the  editorial  part  positively
       online  store,  visitors  are  always  the  most  important   influenced.  Considering  all  arguments,  advertisers
       asset. The number of highly qualified visitors is a central   should  put  the  topic  of  voice  search  on  top  of  their
       and often neglected core. Visits lead to direct or indirect   agenda. ◊
       purchase,  but  also  to  the  branding  of  the  shops  or  the
       image.  It  is  important  to  keep  an  eye  on  this  crucial                    By Daniela La Marca
       factor  across  all  measures.  Regardless  of  the  bright
       performance figures, human experience and intuition will
       continue  to  play  an  important  role  in  the  future.  As
       automation  increases,  more  and  more  resources  are
       needed for Paid Search planning and control. The know-
       how  about  new  technologies  and  the  operative
       experience and expertise merge into the marketing skill


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