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A	
  NEW	
  MEDIUM	
  COMES	
  OF	
  AGE:	
  
 An	
  Analysis	
  Of	
  The	
  Impact	
  Of	
  E-­‐Detailing	
  
           On	
  Physician	
  Prescribing	
  
                                  	
  
                                  	
  
                                  	
  
                                  	
  
                                  	
  
                                by	
  
                  Patrick	
  J.	
  Miller,	
  Ph.D.	
  
                 Executive	
  Vice	
  President	
  
              Clinical	
  Information	
  Network	
  
             pat.miller@clinicalinfonet.com	
  
                          480-­‐320-­‐1009	
  
Executive	
  Summary	
  

In	
  order	
  to	
  gain	
  a	
  better	
  understanding	
  of	
  the	
  benefits	
  of	
  a	
  relatively	
  new	
  and	
  increasingly	
  
popular	
  digital	
  promotion	
  medium,	
  we	
  analyzed	
  over	
  two	
  dozen	
  e-­‐detailing	
  programs	
  
conducted	
  by	
  Group	
  DCA,	
  a	
  leading	
  provider	
  of	
  digital	
  promotional	
  services	
  to	
  the	
  
pharmaceutical	
  industry.	
  	
  The	
  results	
  were	
  unequivocal:	
  

                  E-­‐detailing	
  is	
  very	
  successful	
  in	
  persuading	
  physicians	
  to	
  prescribe.	
  

                  It	
  is	
  effective	
  both	
  for	
  physicians	
  who	
  are	
  heavily	
  committed	
  and	
  for	
  those	
  who	
  are	
  
                  relatively	
  indifferent	
  to	
  the	
  promoted	
  product.	
  

                  It	
  can	
  convert	
  non-­‐prescribers	
  of	
  a	
  product	
  into	
  prescribers.	
  

                  It	
  generates	
  a	
  very	
  high	
  return	
  on	
  investment	
  (ROI).	
  

                  There	
  is	
  a	
  direct	
  relationship	
  between	
  the	
  magnitude	
  of	
  the	
  investment	
  in	
  e-­‐
                  detailing	
  and	
  the	
  magnitude	
  of	
  the	
  resultant	
  profits,	
  allowing	
  marketers	
  to	
  manage	
  
                  to	
  profit	
  targets.	
  

	
  

Background	
  

The	
  past	
  few	
  years	
  have	
  been	
  unsettling	
  years	
  for	
  marketers	
  in	
  the	
  pharmaceutical	
  industry.	
  	
  
The	
  sales	
  resource	
  upon	
  which	
  they	
  have	
  relied	
  most	
  heavily,	
  the	
  outside	
  field	
  sales	
  
representative,	
  has	
  dwindled	
  in	
  numbers	
  and	
  its	
  effectiveness	
  has	
  waned.	
  	
  At	
  the	
  same	
  time,	
  
advancing	
  information	
  technology	
  has	
  spawned	
  a	
  host	
  of	
  exciting,	
  but	
  relatively	
  untested,	
  new	
  
alternatives.	
  	
  While	
  the	
  industry	
  has	
  slowly	
  been	
  building	
  an	
  experience	
  base	
  with	
  the	
  new	
  
media,	
  the	
  intuitive	
  sense	
  of	
  expected	
  return	
  that	
  marketers	
  have	
  long	
  enjoyed	
  with	
  their	
  older	
  
sales	
  resources	
  is	
  still	
  lacking.	
  

One	
  of	
  the	
  most	
  popular	
  of	
  the	
  new	
  selling	
  alternatives	
  is	
  e-­‐detailing.	
  	
  In	
  a	
  typical	
  e-­‐detail,	
  a	
  
physician	
  or	
  other	
  health	
  care	
  professional	
  is	
  invited,	
  using	
  any	
  of	
  the	
  bewildering	
  array	
  of	
  
communication	
  channels	
  that	
  link	
  pharmaceutical	
  companies	
  and	
  their	
  targeted	
  customers,	
  to	
  
visit	
  a	
  web	
  site	
  whereon	
  is	
  located	
  an	
  automated	
  presentation,	
  often	
  interactive,	
  on	
  a	
  topic	
  of	
  
interest	
  to	
  the	
  customer.	
  	
  Because	
  the	
  experience	
  can	
  take	
  place	
  at	
  a	
  time	
  and	
  place	
  of	
  the	
  
physician’s	
  own	
  choosing	
  and	
  is	
  still	
  relatively	
  novel,	
  the	
  physician	
  is	
  likely	
  to	
  devote	
  
substantially	
  more	
  time	
  and	
  pay	
  closer	
  attention	
  to	
  the	
  promotional	
  or	
  educational	
  message	
  
provided	
  by	
  the	
  e-­‐detail	
  than	
  he	
  would	
  to	
  a	
  traditional	
  in-­‐office	
  visit	
  from	
  a	
  field	
  sales	
  
representative.	
  
These	
  customer-­‐centric	
  attributes	
  have	
  made	
  e-­‐detailing	
  one	
  of	
  the	
  most	
  widely	
  used	
  of	
  the	
  
new	
  media.	
  	
  As	
  a	
  result,	
  a	
  fuller	
  understanding	
  of	
  its	
  impact	
  on	
  physician	
  prescribing	
  would	
  be	
  
of	
  significant	
  value	
  to	
  marketers.	
  	
  To	
  this	
  end,	
  a	
  comprehensive	
  analysis	
  was	
  undertaken	
  of	
  a	
  
large	
  sample	
  of	
  over	
  two	
  dozen	
  programs	
  completed	
  by	
  Group	
  DCA,	
  an	
  industry	
  leading	
  
provider	
  of	
  digital	
  media	
  services.	
  

	
  

METHODOLOGY	
  

Each	
  of	
  the	
  studies	
  included	
  in	
  this	
  analysis	
  was	
  examined	
  using	
  a	
  matched-­‐pair	
  test-­‐control	
  
design.	
  	
  The	
  pre-­‐treatment	
  period	
  used	
  to	
  establish	
  the	
  baseline	
  for	
  the	
  physician	
  matches	
  was	
  
six	
  (6)	
  months.	
  	
  Once	
  matching	
  equivalency	
  was	
  established,	
  any	
  post-­‐treatment	
  divergence	
  in	
  
the	
  value	
  of	
  the	
  dependent	
  variable	
  between	
  the	
  test	
  and	
  control	
  physicians	
  could	
  be	
  
attributed	
  to	
  the	
  
treatment	
  –	
  in	
  this	
  case	
  
                                                          1
exposure	
  to	
  the	
  e-­‐detail.	
  	
           0.9
Figure	
  1	
  shows	
  the	
  results	
             0.8
                                                NRx's per Physician




of	
  a	
  typical	
  program	
                      0.7
                                                     0.6                                                                          TEST
analysis.	
  	
  The	
  dependent	
  
                                                     0.5
variable	
  is	
  NRx	
  volume	
  per	
             0.4                                                  CONTROL
physician.	
  	
  Prior	
  to	
  the	
  e-­‐         0.3
                                                     0.2
detailing	
  experience,	
  the	
  
                                                     0.1
test	
  and	
  control	
                                  0
                                                              MTH MTH MTH MTH MTH MTH MTH MTH MTH MTH MTH MTH MTH
physicians	
  are	
  essentially	
                             1       2      3  4     5     6         1   2      3   4      5     6    7

identical.	
  	
  After	
  the	
  e-­‐                                 2      3  4           6
                                                               CONTROL MONTHS
                                                               1                                                 TEST MONTHS
detailing	
  experience,	
  they	
  
are	
  not.	
                                                                          FIGURE 1

Of	
  course,	
  all	
  of	
  the	
  e-­‐detailing	
  programs	
  were	
  designed	
  to	
  meet	
  the	
  needs	
  of	
  Group	
  DCA’s	
  
clients,	
  not	
  to	
  satisfy	
  the	
  requirements	
  of	
  an	
  experimental	
  design.	
  	
  The	
  test	
  and	
  control	
  
matches,	
  therefore,	
  were	
  established	
  post	
  hoc.	
  	
  In	
  spite	
  of	
  this,	
  the	
  results	
  are	
  robust	
  and	
  the	
  
interpretation	
  straightforward.	
  	
  Projection,	
  the	
  analytical	
  attribute	
  most	
  sensitive	
  to	
  non-­‐
randomness,	
  is	
  buffered,	
  to	
  some	
  extent,	
  by	
  the	
  large	
  sample	
  of	
  studies,	
  with	
  the	
  consequent	
  
large	
  and	
  diverse	
  sample	
  of	
  physicians,	
  drawn	
  for	
  this	
  analysis.	
  	
  

	
  

	
  
RESULTS	
  

Rx	
  Impact	
  

Table	
  1	
  displays	
  the	
  median	
  values	
  
for	
  the	
  expected	
  and	
  observed	
  NRx	
  
                                                                                  MEDIAN NRx VOLUME
volumes.	
  	
  The	
  difference	
  between	
                      Expected                      Observed
                                                                                                                       % Gain
these	
  values	
  is	
  the	
  NRx	
  volume	
              (without e - detail) (with e - detail)
attributable	
  to	
  the	
  e-­‐details.	
  	
  The	
  
median	
  rather	
  than	
  the	
  average	
  was	
                 1,412                         2,298                  +63%
used	
  because	
  one	
  product	
  was	
  so	
  
much	
  larger	
  than	
  any	
  other	
  tested	
  
product	
  that	
  its	
  volume	
  introduced	
                                                  Table	
  1	
  
substantial	
  skew	
  into	
  the	
  calculation	
  of	
  the	
  mean.	
  	
  Overall,	
  e-­‐detailing	
  produced	
  a	
  63%	
  increase	
  
in	
  new	
  prescription	
  volume.	
  	
  	
  

Figure	
  2	
  shows	
  the	
  average	
  volume	
  differences	
  by	
  month.	
  	
  The	
  critical	
  message	
  conveyed	
  by	
  
                                                                                         Figure	
  2	
  is	
  that	
  the	
  effect	
  of	
  the	
  
                                                                                         e-­‐detailing	
  has	
  diminished	
  but	
  
                                                                                         not	
  washed	
  out	
  by	
  the	
  end	
  of	
  the	
  
                                                                                         measurement	
  period.	
  	
  
                                                                                         Consequently,	
  the	
  impact	
  
                                                                                         reported	
  here	
  understates	
  the	
  
                                                                                         actual	
  volume	
  return	
  attendant	
  
                                                                                         upon	
  the	
  e-­‐detail.	
  

                                                                                               Although	
  the	
  overall	
  prescription	
  
                                                                                               impact	
  of	
  e-­‐detailing	
  is	
  quite	
  
                                                                                               substantial,	
  the	
  distribution	
  of	
  
                                                                                               the	
  impact	
  across	
  different	
  
                                           FIGURE 2                                            classes	
  of	
  prescribers	
  is,	
  perhaps,	
  
                                                                                               even	
  more	
  impressive.	
  	
  Most	
  
pharmaceutical	
  companies	
  use	
  existing	
  prescribing	
  volume	
  as	
  a	
  criterion	
  in	
  selecting	
  
promotional	
  targets.	
  	
  Because	
  the	
  most	
  expensive	
  promotional	
  resources,	
  such	
  as	
  the	
  field	
  
sales	
  force,	
  are	
  typically	
  reserved	
  for	
  the	
  highest	
  prescribing	
  deciles,	
  there	
  is	
  always	
  interest	
  in	
  
the	
  ability	
  of	
  more	
  affordable	
  promotional	
  media	
  to	
  affect	
  the	
  prescribing	
  of	
  a	
  broader	
  array	
  of	
  
prescriber	
  categories,	
  including	
  the	
  mid	
  and	
  lower	
  level	
  prescribing	
  deciles.	
  	
  Figure	
  3	
  shows	
  the	
  
proportion	
  of	
  the	
  e-­‐detailing	
  impact	
  that	
  is	
  generated	
  by	
  high	
  prescribers	
  (deciles	
  ten	
  through	
  
eight),	
  mid	
  and	
  low	
  level	
  prescribers	
  (deciles	
  seven	
  through	
  one)	
  and	
  non-­‐prescribers.	
  	
  As	
  
Figure	
  3	
  reveals,	
  e-­‐detailing	
  was	
  
                                                                                          almost	
  equally	
  effective	
  in	
  generating	
  
                                                                                          incremental	
  prescribing	
  regardless	
  of	
  
                                                                                          the	
  prior	
  prescribing	
  level	
  of	
  the	
  
                                                                                          physician.	
  

                                                                                         The	
  effect	
  shown	
  in	
  Figure	
  3	
  is	
  of	
  
                                                                                         particular	
  interest	
  in	
  the	
  case	
  of	
  
                                                                                         physicians	
  who	
  had	
  not,	
  prior	
  to	
  the	
  e-­‐
                                                                                         detailing	
  experience,	
  been	
  persuaded	
  
                                                                                         to	
  prescribe	
  the	
  product	
  at	
  all.	
  	
  
                                                                                         Several	
  of	
  the	
  programs	
  included	
  in	
  
                                  FIGURE 3
                                                                                         this	
  analysis	
  included	
  in	
  their	
  target	
  
list	
  physicians	
  who	
  had	
  not	
  written	
  a	
  prescription	
  for	
  the	
  promoted	
  product	
  in	
  the	
  entire	
  six	
  
month	
  pre-­‐test	
  period.	
  	
  Figure	
  4	
  shows	
  the	
  
impact	
  of	
  e-­‐detailing	
  on	
  these	
  physicians.	
  	
  Fully	
                            CONVERTED PHYSICIANS

22%	
  of	
  the	
  test	
  doctors	
  –	
  incremental	
  to	
  their	
  
matched	
  controls	
  -­‐	
  who	
  had	
  not	
  written	
  the	
  
detailed	
  product	
  in	
  the	
  six	
  months	
  prior	
  to	
  e-­‐
detailing	
  did	
  prescribe	
  the	
  product	
  in	
  the	
  months	
  
afterward.	
  

Profitability	
  

As	
  might	
  be	
  expected	
  given	
  the	
  magnitude	
  of	
  the	
  
incremental	
  prescribing	
  generated	
  by	
  e-­‐detailing	
                                        FIGURE 4
programs,	
  such	
  programs	
  are	
  highly	
  profitable.	
  	
  
In	
  fact,	
  the	
  average	
  return	
  on	
  investment	
  across	
  all	
  programs	
  was	
  677%.	
  	
  As	
  noted	
  above,	
  this	
  
                                                                                  figure	
  is	
  conservative	
  and	
  understates	
  the	
  
                                                                                  true	
  ROI.	
  

                                                                                    If	
  the	
  overall	
  profitability	
  of	
  e-­‐detailing	
  
                                                                                    programs	
  was	
  unsurprising,	
  the	
  
                                                                                    relationship	
  between	
  profitably	
  and	
  
                                                                                    program	
  size	
  was	
  completely	
  unexpected.	
  	
  
                                                                                    Programs	
  were	
  ranked	
  by	
  size	
  (cost)	
  and	
  
                                                                                    divided	
  into	
  large	
  (largest	
  third	
  of	
  
                                                                                    programs),	
  average	
  (middle	
  third),	
  and	
  
                                                                                    small	
  (bottom	
  third).	
  	
  As	
  Figure	
  5	
  shows,	
  
                                FIGURE 5                                            the	
  large	
  programs	
  delivered	
  double	
  the	
  
profit	
  volume	
  of	
  average	
  programs	
  which,	
  in	
  turn,	
  provided	
  twice	
  the	
  profit	
  volume	
  of	
  small	
  
programs.	
  

	
  

CONCLUSIONS	
  

Over	
  two	
  dozen	
  individual	
  e-­‐detailing	
  programs	
  provided	
  by	
  Group	
  DCA	
  were	
  examined	
  to	
  
generate	
  insights	
  into	
  two	
  critical	
  aspects	
  of	
  e-­‐detailing.	
  	
  The	
  critical	
  dimensions	
  were:	
  1.	
  the	
  
prescription	
  impact	
  of	
  e-­‐detailing	
  and	
  2.	
  its	
  profitability.	
  

Prescription	
  Impact:	
  	
  The	
  ability	
  of	
  e-­‐detailing	
  to	
  stimulate	
  prescribing	
  was	
  both	
  remarkable	
  
and	
  well	
  documented.	
  	
  Across	
  products,	
  e-­‐detailing	
  produced	
  a	
  63%	
  increase	
  in	
  new	
  
prescriptions	
  over	
  a	
  12-­‐month	
  period.	
  	
  Substantial	
  increases	
  in	
  prescribing	
  occurred	
  regardless	
  
of	
  the	
  level	
  of	
  the	
  physicians’	
  prescribing	
  volume	
  prior	
  to	
  the	
  e-­‐detailing	
  experience.	
  	
  Indeed,	
  
even	
  non-­‐prescribers	
  of	
  the	
  products	
  were	
  motivated	
  by	
  the	
  e-­‐detailing	
  to	
  offer	
  trial.	
  	
  	
  

Profitability:	
  	
  E-­‐detailing	
  is	
  a	
  highly	
  profitable	
  medium,	
  generating	
  returns	
  conservatively	
  
measured	
  at	
  nearly	
  seven	
  times	
  the	
  initial	
  investment.	
  	
  The	
  magnitude	
  of	
  the	
  dollar	
  profit	
  is	
  
also	
  a	
  function	
  of	
  the	
  magnitude	
  of	
  the	
  investment;	
  large	
  e-­‐detailing	
  programs	
  generate	
  greater	
  
profits	
  than	
  do	
  smaller	
  e-­‐detailing	
  programs.	
  

	
  

	
  

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Group DCA Meta Analysis White Paper - Impact of E-Detailing On Physician Prescribing

  • 1.       A  NEW  MEDIUM  COMES  OF  AGE:   An  Analysis  Of  The  Impact  Of  E-­‐Detailing   On  Physician  Prescribing             by   Patrick  J.  Miller,  Ph.D.   Executive  Vice  President   Clinical  Information  Network   pat.miller@clinicalinfonet.com   480-­‐320-­‐1009  
  • 2. Executive  Summary   In  order  to  gain  a  better  understanding  of  the  benefits  of  a  relatively  new  and  increasingly   popular  digital  promotion  medium,  we  analyzed  over  two  dozen  e-­‐detailing  programs   conducted  by  Group  DCA,  a  leading  provider  of  digital  promotional  services  to  the   pharmaceutical  industry.    The  results  were  unequivocal:   E-­‐detailing  is  very  successful  in  persuading  physicians  to  prescribe.   It  is  effective  both  for  physicians  who  are  heavily  committed  and  for  those  who  are   relatively  indifferent  to  the  promoted  product.   It  can  convert  non-­‐prescribers  of  a  product  into  prescribers.   It  generates  a  very  high  return  on  investment  (ROI).   There  is  a  direct  relationship  between  the  magnitude  of  the  investment  in  e-­‐ detailing  and  the  magnitude  of  the  resultant  profits,  allowing  marketers  to  manage   to  profit  targets.     Background   The  past  few  years  have  been  unsettling  years  for  marketers  in  the  pharmaceutical  industry.     The  sales  resource  upon  which  they  have  relied  most  heavily,  the  outside  field  sales   representative,  has  dwindled  in  numbers  and  its  effectiveness  has  waned.    At  the  same  time,   advancing  information  technology  has  spawned  a  host  of  exciting,  but  relatively  untested,  new   alternatives.    While  the  industry  has  slowly  been  building  an  experience  base  with  the  new   media,  the  intuitive  sense  of  expected  return  that  marketers  have  long  enjoyed  with  their  older   sales  resources  is  still  lacking.   One  of  the  most  popular  of  the  new  selling  alternatives  is  e-­‐detailing.    In  a  typical  e-­‐detail,  a   physician  or  other  health  care  professional  is  invited,  using  any  of  the  bewildering  array  of   communication  channels  that  link  pharmaceutical  companies  and  their  targeted  customers,  to   visit  a  web  site  whereon  is  located  an  automated  presentation,  often  interactive,  on  a  topic  of   interest  to  the  customer.    Because  the  experience  can  take  place  at  a  time  and  place  of  the   physician’s  own  choosing  and  is  still  relatively  novel,  the  physician  is  likely  to  devote   substantially  more  time  and  pay  closer  attention  to  the  promotional  or  educational  message   provided  by  the  e-­‐detail  than  he  would  to  a  traditional  in-­‐office  visit  from  a  field  sales   representative.  
  • 3. These  customer-­‐centric  attributes  have  made  e-­‐detailing  one  of  the  most  widely  used  of  the   new  media.    As  a  result,  a  fuller  understanding  of  its  impact  on  physician  prescribing  would  be   of  significant  value  to  marketers.    To  this  end,  a  comprehensive  analysis  was  undertaken  of  a   large  sample  of  over  two  dozen  programs  completed  by  Group  DCA,  an  industry  leading   provider  of  digital  media  services.     METHODOLOGY   Each  of  the  studies  included  in  this  analysis  was  examined  using  a  matched-­‐pair  test-­‐control   design.    The  pre-­‐treatment  period  used  to  establish  the  baseline  for  the  physician  matches  was   six  (6)  months.    Once  matching  equivalency  was  established,  any  post-­‐treatment  divergence  in   the  value  of  the  dependent  variable  between  the  test  and  control  physicians  could  be   attributed  to  the   treatment  –  in  this  case   1 exposure  to  the  e-­‐detail.     0.9 Figure  1  shows  the  results   0.8 NRx's per Physician of  a  typical  program   0.7 0.6 TEST analysis.    The  dependent   0.5 variable  is  NRx  volume  per   0.4 CONTROL physician.    Prior  to  the  e-­‐ 0.3 0.2 detailing  experience,  the   0.1 test  and  control   0 MTH MTH MTH MTH MTH MTH MTH MTH MTH MTH MTH MTH MTH physicians  are  essentially   1 2 3 4 5 6 1 2 3 4 5 6 7 identical.    After  the  e-­‐ 2 3 4 6 CONTROL MONTHS 1 TEST MONTHS detailing  experience,  they   are  not.   FIGURE 1 Of  course,  all  of  the  e-­‐detailing  programs  were  designed  to  meet  the  needs  of  Group  DCA’s   clients,  not  to  satisfy  the  requirements  of  an  experimental  design.    The  test  and  control   matches,  therefore,  were  established  post  hoc.    In  spite  of  this,  the  results  are  robust  and  the   interpretation  straightforward.    Projection,  the  analytical  attribute  most  sensitive  to  non-­‐ randomness,  is  buffered,  to  some  extent,  by  the  large  sample  of  studies,  with  the  consequent   large  and  diverse  sample  of  physicians,  drawn  for  this  analysis.        
  • 4. RESULTS   Rx  Impact   Table  1  displays  the  median  values   for  the  expected  and  observed  NRx   MEDIAN NRx VOLUME volumes.    The  difference  between   Expected Observed % Gain these  values  is  the  NRx  volume   (without e - detail) (with e - detail) attributable  to  the  e-­‐details.    The   median  rather  than  the  average  was   1,412 2,298 +63% used  because  one  product  was  so   much  larger  than  any  other  tested   product  that  its  volume  introduced   Table  1   substantial  skew  into  the  calculation  of  the  mean.    Overall,  e-­‐detailing  produced  a  63%  increase   in  new  prescription  volume.       Figure  2  shows  the  average  volume  differences  by  month.    The  critical  message  conveyed  by   Figure  2  is  that  the  effect  of  the   e-­‐detailing  has  diminished  but   not  washed  out  by  the  end  of  the   measurement  period.     Consequently,  the  impact   reported  here  understates  the   actual  volume  return  attendant   upon  the  e-­‐detail.   Although  the  overall  prescription   impact  of  e-­‐detailing  is  quite   substantial,  the  distribution  of   the  impact  across  different   FIGURE 2 classes  of  prescribers  is,  perhaps,   even  more  impressive.    Most   pharmaceutical  companies  use  existing  prescribing  volume  as  a  criterion  in  selecting   promotional  targets.    Because  the  most  expensive  promotional  resources,  such  as  the  field   sales  force,  are  typically  reserved  for  the  highest  prescribing  deciles,  there  is  always  interest  in   the  ability  of  more  affordable  promotional  media  to  affect  the  prescribing  of  a  broader  array  of   prescriber  categories,  including  the  mid  and  lower  level  prescribing  deciles.    Figure  3  shows  the   proportion  of  the  e-­‐detailing  impact  that  is  generated  by  high  prescribers  (deciles  ten  through   eight),  mid  and  low  level  prescribers  (deciles  seven  through  one)  and  non-­‐prescribers.    As  
  • 5. Figure  3  reveals,  e-­‐detailing  was   almost  equally  effective  in  generating   incremental  prescribing  regardless  of   the  prior  prescribing  level  of  the   physician.   The  effect  shown  in  Figure  3  is  of   particular  interest  in  the  case  of   physicians  who  had  not,  prior  to  the  e-­‐ detailing  experience,  been  persuaded   to  prescribe  the  product  at  all.     Several  of  the  programs  included  in   FIGURE 3 this  analysis  included  in  their  target   list  physicians  who  had  not  written  a  prescription  for  the  promoted  product  in  the  entire  six   month  pre-­‐test  period.    Figure  4  shows  the   impact  of  e-­‐detailing  on  these  physicians.    Fully   CONVERTED PHYSICIANS 22%  of  the  test  doctors  –  incremental  to  their   matched  controls  -­‐  who  had  not  written  the   detailed  product  in  the  six  months  prior  to  e-­‐ detailing  did  prescribe  the  product  in  the  months   afterward.   Profitability   As  might  be  expected  given  the  magnitude  of  the   incremental  prescribing  generated  by  e-­‐detailing   FIGURE 4 programs,  such  programs  are  highly  profitable.     In  fact,  the  average  return  on  investment  across  all  programs  was  677%.    As  noted  above,  this   figure  is  conservative  and  understates  the   true  ROI.   If  the  overall  profitability  of  e-­‐detailing   programs  was  unsurprising,  the   relationship  between  profitably  and   program  size  was  completely  unexpected.     Programs  were  ranked  by  size  (cost)  and   divided  into  large  (largest  third  of   programs),  average  (middle  third),  and   small  (bottom  third).    As  Figure  5  shows,   FIGURE 5 the  large  programs  delivered  double  the  
  • 6. profit  volume  of  average  programs  which,  in  turn,  provided  twice  the  profit  volume  of  small   programs.     CONCLUSIONS   Over  two  dozen  individual  e-­‐detailing  programs  provided  by  Group  DCA  were  examined  to   generate  insights  into  two  critical  aspects  of  e-­‐detailing.    The  critical  dimensions  were:  1.  the   prescription  impact  of  e-­‐detailing  and  2.  its  profitability.   Prescription  Impact:    The  ability  of  e-­‐detailing  to  stimulate  prescribing  was  both  remarkable   and  well  documented.    Across  products,  e-­‐detailing  produced  a  63%  increase  in  new   prescriptions  over  a  12-­‐month  period.    Substantial  increases  in  prescribing  occurred  regardless   of  the  level  of  the  physicians’  prescribing  volume  prior  to  the  e-­‐detailing  experience.    Indeed,   even  non-­‐prescribers  of  the  products  were  motivated  by  the  e-­‐detailing  to  offer  trial.       Profitability:    E-­‐detailing  is  a  highly  profitable  medium,  generating  returns  conservatively   measured  at  nearly  seven  times  the  initial  investment.    The  magnitude  of  the  dollar  profit  is   also  a  function  of  the  magnitude  of  the  investment;  large  e-­‐detailing  programs  generate  greater   profits  than  do  smaller  e-­‐detailing  programs.