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The	
  impact	
  of	
  piracy	
  (and	
  P2P)	
  
        on	
  paid	
  content	
  sales	
  

              Tools	
  of	
  Change	
  –	
  New	
  York	
  
                              February	
  22,	
  2010	
  
Our	
  point	
  of	
  view	
  
•  Intellectual	
  property	
  (IP)	
  maGers	
  
•  There	
  are	
  niches,	
  and	
  Htles,	
  for	
  which	
  piracy	
  is	
  
   a	
  direct	
  loss	
  and	
  enforcement	
  makes	
  sense	
  
•  There	
  are	
  niches,	
  and	
  Htles,	
  for	
  which	
  piracy	
  
   may	
  help	
  build	
  awareness	
  and	
  trial	
  to	
  spur	
  
   paid	
  sales	
  
•  This	
  research	
  is	
  structured	
  to	
  uncover	
  which	
  is	
  
   which	
  	
  

                                                                              2	
  
“Perhaps	
  on	
  the	
  rare	
  occasion	
  that	
  pursuing	
  
the	
  right	
  course	
  demands	
  an	
  act	
  of	
  piracy,	
  
piracy	
  itself	
  can	
  be	
  the	
  right	
  course?”	
  

                                             Governor	
  Swann,	
  
                           in	
  “Pirates	
  of	
  the	
  Caribbean”	
  
                                                    (itself	
  pirated)	
  




                                                                          3	
  
“Free”	
  is	
  not	
  “new”	
  …	
  
•  A	
  long	
  and	
  successful	
  history	
  
•  Galleys,	
  ARCs,	
  blads,	
  sample	
  chapters	
  
•  Digital	
  sampling	
  on	
  the	
  rise	
  
•  A	
  small	
  set	
  of	
  experiments	
  using	
  “free”	
  digital	
  
   content	
  …	
  
•  …	
  but	
  no	
  Htle-­‐level	
  studies	
  evaluaHng	
  the	
  
   impact	
  of	
  piracy	
  on	
  paid	
  content	
  sales	
  


                                                                              4	
  
Why	
  look	
  at	
  this	
  topic	
  now?	
  


 More	
      BeGer	
  
                        “Piracy	
  
 digital	
   ebook	
  
                        threat”	
  
content	
   readers	
  


                                                   5	
  
Our	
  research	
  approach	
  
         Document	
  
                                      Address	
                    Analyze	
              Assess	
             IdenHfy	
  
         and	
  assess	
  
                                    data	
  quality	
              results	
            implicaHons	
         next	
  steps	
  
         prior	
  work	
  

• Collect	
  prior	
          • Use	
  a	
                   • Measure	
  Htles	
      • Compare	
  the	
     • Share	
  the	
  
  work	
                        consistent	
                   across	
  mulHple	
       presence	
  of	
       analysis	
  
• Segment	
                     data	
  source	
               publishers	
              pirated	
            • Invite	
  
  aGributes	
                   (POS	
  feeds)	
             • Look	
  at	
              content	
  to	
        discussion	
  
                              • Measure	
                      combined	
                paid	
  sales	
  
• IdenHfy	
  data	
                                                                                           • Grow	
  the	
  
  gaps	
                        sales	
  pre-­‐	
  and	
       results	
                                        sample	
  
                                post-­‐piracy	
  




         The	
  research	
  is	
  data-­‐driven,	
  open	
  (without	
  compromising	
  publisher	
  data)	
  and	
  
                                           structured	
  to	
  share	
  knowledge.	
  



                                                                                                                                   6	
  
The	
  current	
  sample	
  set	
  
O’Reilly	
  Media	
     Have	
  been	
  measuring	
  the	
  impact	
  on	
  front-­‐list	
  sales	
  since	
  fall	
  2008	
  
                        Monitored	
  BitTorrent	
  sites;	
  only	
  PirateBay	
  had	
  more	
  than	
  a	
  
                        handful	
  of	
  O’Reilly	
  Htles	
  posted	
  
                        Tracked	
  acHvity	
  of	
  seeds	
  (uploads)	
  and	
  leeches	
  (downloads)	
  for	
  
                        any	
  2008	
  O’Reilly	
  front	
  list	
  Htles	
  found	
  on	
  these	
  sites	
  
Thomas	
  Nelson	
      Began	
  working	
  with	
  Thomas	
  Nelson’s	
  fall	
  2009	
  list	
  in	
  August	
  2009	
  
                        To	
  dates,	
  no	
  fall	
  2009	
  Htles	
  have	
  appeared	
  on	
  monitored	
  sites	
  
                        Lag	
  Hme	
  for	
  Thomas	
  Nelson	
  Htles	
  may	
  be	
  longer	
  than	
  for	
  O’Reilly	
  




                                                                                                                                 7	
  
What	
  we	
  have	
  learned	
  so	
  far	
  
•    Low	
  volume	
  of	
  P2P	
  seeds	
  and	
  leeches	
  
•    Interest	
  in	
  seeded	
  content	
  peaks	
  early	
  
•    Lag	
  Hme	
  on	
  P2P	
  seeding	
  
•    Unexplained	
  “bump”	
  in	
  paid	
  sales	
  of	
  O’Reilly	
  
     content	
  afer	
  piracy	
  is	
  noted	
  




                                                                          8	
  
The	
  number	
  of	
  seeds	
  peaks	
  quickly	
  




                                                   9	
  
Leeches	
  peak	
  quickly	
  and	
  then	
  decline	
  




                                                      10	
  
Lag	
  Hme	
  before	
  seeding	
  varies	
  

               Average	
  =	
  19	
  weeks	
  




                                                 11	
  
Where	
  piracy	
  may	
  help	
  sales	
  
•  “Normed”	
  the	
  sales	
  paGerns	
  of	
  pirated	
  and	
  
   un-­‐pirated	
  content	
  to	
  a	
  common	
  starHng	
  point	
  
•  PloGed	
  the	
  average	
  sales	
  per	
  week	
  for	
  pirated	
  
   and	
  un-­‐pirated	
  Htles	
  
•  Uncovered	
  a	
  visual	
  correlaHon	
  between	
  piracy	
  
   onset	
  and	
  unit	
  sales	
  
 Because	
  of	
  different	
  pub	
  dates,	
  the	
  average	
  Hme	
  on	
  sale	
  for	
  pirated	
  content	
  in	
  this	
  
     sample	
  is	
  shorter	
  (35	
  weeks)	
  than	
  that	
  for	
  un-­‐pirated	
  content	
  (47)	
  weeks.	
  	
  
             Comparisons	
  at	
  the	
  end	
  of	
  the	
  on-­‐sale	
  period	
  are	
  not	
  reliable.	
  

                                                                                                                                    12	
  
Average	
  sales	
  (weeks	
  afer	
  pub	
  date)	
  
            Average	
  week	
  at	
  which	
  seeded	
  content	
  first	
  seen	
  


                                            Unreliably	
  small	
  sample	
  sets	
  




                                                                                        13	
  
Average	
  sales	
  (weeks	
  afer	
  pub	
  date)	
  
            Average	
  week	
  at	
  which	
  seeded	
  content	
  first	
  seen	
  


                                            Unreliably	
  small	
  sample	
  sets	
  




                                                                                        14	
  
Average	
  sales	
  (weeks	
  afer	
  pub	
  date)	
  
             Average	
  week	
  at	
  which	
  seeded	
  content	
  first	
  seen	
  


                                             Unreliably	
  small	
  sample	
  sets	
  



     +108%




                                                                                         15	
  
Four-­‐week	
  rolling	
  averages	
  
      Average	
  week	
  at	
  which	
  seeded	
  content	
  first	
  seen	
  


                                      Unreliably	
  small	
  sample	
  sets	
  




                                                                                  16	
  
Three	
  useful	
  cauHons	
  
•  CorrelaHon	
  isn’t	
  causality	
  
•  Larger	
  data	
  sets	
  may	
  uncover	
  a	
  sample	
  skew	
  
•  What	
  works	
  today	
  may	
  not	
  work	
  as	
  well	
  at	
  
   some	
  future	
  date	
  




                                                                          17	
  
Proposing	
  a	
  more	
  nuanced	
  model	
  

   “White”	
                                     “Gray”	
                                      “Back	
  
    market
         	
                                      market	
                                     channel”   	
  

•  Print	
  sales	
                         •  Unprotected	
  digital	
  sales	
          •  Unauthorized	
  
•  DRM-­‐restricted	
                       •  Galleys,	
  ARCs	
                            duplicaHon	
  
   digital	
  sales	
                       •  “Free”	
  promoHons	
                      •  Pirated	
  content	
  
•  “Trialware”	
  


              Our	
  conHnuing	
  quesHon:	
  what	
  impact	
  does	
  piracy	
  have	
  on	
  sales?	
  


                                                                                                                      18	
  
Understanding	
  piracy	
  …	
  
•  AdopHng	
  the	
  reader’s	
  point	
  of	
  view	
  
•  The	
  risk	
  of	
  conclusions	
  with	
  limited	
  data	
  
•  The	
  value	
  of	
  DRM-­‐restricted	
  content	
  




                                                                     19	
  
AdopHng	
  the	
  reader’s	
  point	
  of	
  view	
  
                                                 	
  
Chris	
  Walters,	
  Booksprung	
                 Kirk	
  Biglione,	
  Medialoper	
  
•  Release	
  digital	
  content	
                •  Provide	
  a	
  high-­‐quality	
  
   (don’t	
  frustrate	
  demand)	
                  consumer	
  experience	
  
•  Don’t	
  cripple	
  content	
  or	
            •  Value	
  consumers’	
  Hme	
  as	
  
   limits	
  its	
  devices	
  or	
  uses	
          well	
  as	
  their	
  resources	
  
•  Provide	
  high-­‐quality	
  (not	
            •  Kindle	
  purchase:	
  2	
  clicks	
  
   substandard)	
  digital	
  ediHons	
           •  Rapidshare	
  download:	
  6	
  
•  Don’t	
  try	
  to	
  “solve”	
  piracy;	
        clicks	
  
   think	
  about	
  managing	
  it	
  



                                                                                              20	
  
Conclusions	
  with	
  limited	
  data	
  
•  AGributor:	
  piracy	
  is	
  a	
  “$3	
  billion	
  problem”	
  
•  Macmillan:	
  a	
  seven	
  point	
  plan	
  
•  The	
  risk:	
  dialogue	
  gets	
  replaced	
  with	
  an	
  urgent	
  
   call	
  to	
  “do	
  something”	
  
•  We	
  don’t	
  know	
  the	
  answers,	
  and	
  we	
  should	
  
   develop	
  the	
  data	
  to	
  find	
  out	
  



                                                                         21	
  
Top	
  10	
  pirated	
  Htles	
  (maybe)
                                                	
  
1.  Kamasutra	
                                    7.  Twilight	
  –	
  Complete	
  Series	
  
2.  Adobe	
  Photoshop	
  Secrets	
                8.  How	
  To	
  Get	
  Anyone	
  To	
  Say	
  
3.  The	
  Complete	
  Idiot’s	
  Guide	
              YES	
  –	
  The	
  Science	
  Of	
  
    to	
  Amazing	
  Sex	
                             Influence	
  
4.  The	
  Lost	
  Notebooks	
  of	
               9.  Nude	
  Photography	
  –	
  The	
  
    Leonardo	
  daVinci	
                              Art	
  And	
  The	
  Craf	
  
5.  Solar	
  House	
  –	
  A	
  Guide	
  for	
     10. Fix	
  It	
  –	
  How	
  To	
  Do	
  All	
  
    the	
  Solar	
  Designer	
                         Those	
  LiGle	
  Repair	
  Jobs	
  
6.  Before	
  Pornography	
  –	
                       Around	
  The	
  Home	
  
    EroHc	
  WriHng	
  In	
  Early	
                     Source:	
  TorrentFreak,	
  via	
  Teleread	
  (Paul	
  Biba)	
  
    Modern	
  England	
  

                                                                                                                             22	
  
The	
  value	
  of	
  DRM-­‐restricted	
  content
                                                	
  
•  Sony:	
  DRM	
  …	
  “allows	
  content	
  creators	
  and	
  
   distributors	
  to	
  make	
  money	
  from	
  book	
  
   content”	
  
•  Reality:	
  true	
  pirates	
  don’t	
  worry	
  about	
  DRM	
  
•  We’re	
  restricHng	
  the	
  rights	
  of	
  readers	
  just	
  in	
  
   case	
  they	
  turn	
  into	
  pirates	
  
•  The	
  value	
  of	
  DRM-­‐restricted	
  content?	
  	
  Less.	
  


                                                                             23	
  
A	
  call	
  to	
  acHon	
  
•    Find	
  out	
  where	
  your	
  Htles	
  are	
  shared	
  
•    Establish	
  the	
  impact	
  on	
  sales	
  
•    Invest	
  in	
  measurement	
  on	
  an	
  ongoing	
  basis	
  
•    On	
  your	
  own	
  …	
  or	
  through	
  this	
  work	
  
•    Learn	
  the	
  right	
  lessons	
  from	
  other	
  industries	
  




                                                                           24	
  
“Informa<on	
  wants	
  to	
  be	
  free.	
  	
  Informa<on	
  also	
  wants	
  to	
  be	
  
expensive.	
  	
  Informa<on	
  wants	
  to	
  be	
  free	
  because	
  it	
  has	
  become	
  
so	
  cheap	
  to	
  distribute,	
  copy	
  and	
  recombine	
  –	
  too	
  cheap	
  to	
  meter.	
  	
  
It	
  wants	
  to	
  be	
  expensive	
  because	
  it	
  can	
  be	
  immeasurably	
  valuable	
  
to	
  the	
  recipient.	
  	
  That	
  tension	
  will	
  not	
  go	
  away.	
  	
  It	
  leads	
  to	
  
endless,	
  wrenching	
  debate	
  about	
  price,	
  copyright,	
  intellectual	
  
property,	
  the	
  moral	
  rightness	
  of	
  casual	
  distribu<on,	
  because	
  each	
  
round	
  of	
  new	
  devices	
  makes	
  the	
  tension	
  worse,	
  not	
  beCer.”	
  

                                                                   -­‐-­‐	
  Stewart	
  Brand	
  (1984)	
  




                                                                                                       25	
  
For	
  more	
  informaHon	
  
•  “Rough	
  Cut”	
  research	
  paper	
  
   –  Includes	
  this	
  research	
  and	
  future	
  updates	
  
   –  Also	
  provides	
  background	
  on	
  free	
  and	
  P2P	
  
   –  hGp://Hnyurl.com/q3v4b9	
  
•  brian.oleary@magellanmediapartners.com	
  




                                                                       26	
  

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The impact of p2p file distribution on paid content sales presentation

  • 1. The  impact  of  piracy  (and  P2P)   on  paid  content  sales   Tools  of  Change  –  New  York   February  22,  2010  
  • 2. Our  point  of  view   •  Intellectual  property  (IP)  maGers   •  There  are  niches,  and  Htles,  for  which  piracy  is   a  direct  loss  and  enforcement  makes  sense   •  There  are  niches,  and  Htles,  for  which  piracy   may  help  build  awareness  and  trial  to  spur   paid  sales   •  This  research  is  structured  to  uncover  which  is   which     2  
  • 3. “Perhaps  on  the  rare  occasion  that  pursuing   the  right  course  demands  an  act  of  piracy,   piracy  itself  can  be  the  right  course?”   Governor  Swann,   in  “Pirates  of  the  Caribbean”   (itself  pirated)   3  
  • 4. “Free”  is  not  “new”  …   •  A  long  and  successful  history   •  Galleys,  ARCs,  blads,  sample  chapters   •  Digital  sampling  on  the  rise   •  A  small  set  of  experiments  using  “free”  digital   content  …   •  …  but  no  Htle-­‐level  studies  evaluaHng  the   impact  of  piracy  on  paid  content  sales   4  
  • 5. Why  look  at  this  topic  now?   More   BeGer   “Piracy   digital   ebook   threat”   content   readers   5  
  • 6. Our  research  approach   Document   Address   Analyze   Assess   IdenHfy   and  assess   data  quality   results   implicaHons   next  steps   prior  work   • Collect  prior   • Use  a   • Measure  Htles   • Compare  the   • Share  the   work   consistent   across  mulHple   presence  of   analysis   • Segment   data  source   publishers   pirated   • Invite   aGributes   (POS  feeds)   • Look  at   content  to   discussion   • Measure   combined   paid  sales   • IdenHfy  data   • Grow  the   gaps   sales  pre-­‐  and   results   sample   post-­‐piracy   The  research  is  data-­‐driven,  open  (without  compromising  publisher  data)  and   structured  to  share  knowledge.   6  
  • 7. The  current  sample  set   O’Reilly  Media   Have  been  measuring  the  impact  on  front-­‐list  sales  since  fall  2008   Monitored  BitTorrent  sites;  only  PirateBay  had  more  than  a   handful  of  O’Reilly  Htles  posted   Tracked  acHvity  of  seeds  (uploads)  and  leeches  (downloads)  for   any  2008  O’Reilly  front  list  Htles  found  on  these  sites   Thomas  Nelson   Began  working  with  Thomas  Nelson’s  fall  2009  list  in  August  2009   To  dates,  no  fall  2009  Htles  have  appeared  on  monitored  sites   Lag  Hme  for  Thomas  Nelson  Htles  may  be  longer  than  for  O’Reilly   7  
  • 8. What  we  have  learned  so  far   •  Low  volume  of  P2P  seeds  and  leeches   •  Interest  in  seeded  content  peaks  early   •  Lag  Hme  on  P2P  seeding   •  Unexplained  “bump”  in  paid  sales  of  O’Reilly   content  afer  piracy  is  noted   8  
  • 9. The  number  of  seeds  peaks  quickly   9  
  • 10. Leeches  peak  quickly  and  then  decline   10  
  • 11. Lag  Hme  before  seeding  varies   Average  =  19  weeks   11  
  • 12. Where  piracy  may  help  sales   •  “Normed”  the  sales  paGerns  of  pirated  and   un-­‐pirated  content  to  a  common  starHng  point   •  PloGed  the  average  sales  per  week  for  pirated   and  un-­‐pirated  Htles   •  Uncovered  a  visual  correlaHon  between  piracy   onset  and  unit  sales   Because  of  different  pub  dates,  the  average  Hme  on  sale  for  pirated  content  in  this   sample  is  shorter  (35  weeks)  than  that  for  un-­‐pirated  content  (47)  weeks.     Comparisons  at  the  end  of  the  on-­‐sale  period  are  not  reliable.   12  
  • 13. Average  sales  (weeks  afer  pub  date)   Average  week  at  which  seeded  content  first  seen   Unreliably  small  sample  sets   13  
  • 14. Average  sales  (weeks  afer  pub  date)   Average  week  at  which  seeded  content  first  seen   Unreliably  small  sample  sets   14  
  • 15. Average  sales  (weeks  afer  pub  date)   Average  week  at  which  seeded  content  first  seen   Unreliably  small  sample  sets   +108% 15  
  • 16. Four-­‐week  rolling  averages   Average  week  at  which  seeded  content  first  seen   Unreliably  small  sample  sets   16  
  • 17. Three  useful  cauHons   •  CorrelaHon  isn’t  causality   •  Larger  data  sets  may  uncover  a  sample  skew   •  What  works  today  may  not  work  as  well  at   some  future  date   17  
  • 18. Proposing  a  more  nuanced  model   “White”   “Gray”   “Back   market   market   channel”   •  Print  sales   •  Unprotected  digital  sales   •  Unauthorized   •  DRM-­‐restricted   •  Galleys,  ARCs   duplicaHon   digital  sales   •  “Free”  promoHons   •  Pirated  content   •  “Trialware”   Our  conHnuing  quesHon:  what  impact  does  piracy  have  on  sales?   18  
  • 19. Understanding  piracy  …   •  AdopHng  the  reader’s  point  of  view   •  The  risk  of  conclusions  with  limited  data   •  The  value  of  DRM-­‐restricted  content   19  
  • 20. AdopHng  the  reader’s  point  of  view     Chris  Walters,  Booksprung   Kirk  Biglione,  Medialoper   •  Release  digital  content   •  Provide  a  high-­‐quality   (don’t  frustrate  demand)   consumer  experience   •  Don’t  cripple  content  or   •  Value  consumers’  Hme  as   limits  its  devices  or  uses   well  as  their  resources   •  Provide  high-­‐quality  (not   •  Kindle  purchase:  2  clicks   substandard)  digital  ediHons   •  Rapidshare  download:  6   •  Don’t  try  to  “solve”  piracy;   clicks   think  about  managing  it   20  
  • 21. Conclusions  with  limited  data   •  AGributor:  piracy  is  a  “$3  billion  problem”   •  Macmillan:  a  seven  point  plan   •  The  risk:  dialogue  gets  replaced  with  an  urgent   call  to  “do  something”   •  We  don’t  know  the  answers,  and  we  should   develop  the  data  to  find  out   21  
  • 22. Top  10  pirated  Htles  (maybe)   1.  Kamasutra   7.  Twilight  –  Complete  Series   2.  Adobe  Photoshop  Secrets   8.  How  To  Get  Anyone  To  Say   3.  The  Complete  Idiot’s  Guide   YES  –  The  Science  Of   to  Amazing  Sex   Influence   4.  The  Lost  Notebooks  of   9.  Nude  Photography  –  The   Leonardo  daVinci   Art  And  The  Craf   5.  Solar  House  –  A  Guide  for   10. Fix  It  –  How  To  Do  All   the  Solar  Designer   Those  LiGle  Repair  Jobs   6.  Before  Pornography  –   Around  The  Home   EroHc  WriHng  In  Early   Source:  TorrentFreak,  via  Teleread  (Paul  Biba)   Modern  England   22  
  • 23. The  value  of  DRM-­‐restricted  content   •  Sony:  DRM  …  “allows  content  creators  and   distributors  to  make  money  from  book   content”   •  Reality:  true  pirates  don’t  worry  about  DRM   •  We’re  restricHng  the  rights  of  readers  just  in   case  they  turn  into  pirates   •  The  value  of  DRM-­‐restricted  content?    Less.   23  
  • 24. A  call  to  acHon   •  Find  out  where  your  Htles  are  shared   •  Establish  the  impact  on  sales   •  Invest  in  measurement  on  an  ongoing  basis   •  On  your  own  …  or  through  this  work   •  Learn  the  right  lessons  from  other  industries   24  
  • 25. “Informa<on  wants  to  be  free.    Informa<on  also  wants  to  be   expensive.    Informa<on  wants  to  be  free  because  it  has  become   so  cheap  to  distribute,  copy  and  recombine  –  too  cheap  to  meter.     It  wants  to  be  expensive  because  it  can  be  immeasurably  valuable   to  the  recipient.    That  tension  will  not  go  away.    It  leads  to   endless,  wrenching  debate  about  price,  copyright,  intellectual   property,  the  moral  rightness  of  casual  distribu<on,  because  each   round  of  new  devices  makes  the  tension  worse,  not  beCer.”   -­‐-­‐  Stewart  Brand  (1984)   25  
  • 26. For  more  informaHon   •  “Rough  Cut”  research  paper   –  Includes  this  research  and  future  updates   –  Also  provides  background  on  free  and  P2P   –  hGp://Hnyurl.com/q3v4b9   •  brian.oleary@magellanmediapartners.com   26