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DEBORAH WEINSWIG Executive Director – Head of Global Retail & Technology Fung Business Intelligence Centre [email protected] New York: 646.839.7017 July 28, 2015 Fit for Purpose? Online Fitting Tech and the Boom in Internet Apparel The uncertainty of finding a good fit when shopping for apparel online can drive up the rate of returns, and so pile extra costs onto retailers. Online return rates for apparel can range between 15%–20% at multichannel retailers and 35%–40% at multibrand pure plays Fittingtech services True Fit and Fits.me can push returns rates down by double digits. Other gains for retailers including improved conversion rates, with True Fit saying it pushes up conversion by 300%. And Fits.me emphasizes the insight it can offer to retailers on their customers’ demographics, body perceptions and fit preferences.
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D E B O R A H W E I N S W I G E x e c u t i v e D i r e c t o r – H e a d o f G l o b a l R e t a i l & T e c h n o l o g y F u n g B u s i n e s s I n t e l l i g e n c e C e n t r e d e b o r a h w e i n s w i g @ f u n g 1 9 3 7 . c o m N e w Y o r k : 6 4 6 . 8 3 9 . 7 0 1 7

July 28, 2015

Fit for Purpose? Online Fitting Tech and the Boom in Internet Apparel

• The   uncertainty   of   finding   a   good   fit   when   shopping   for   apparel   online   can  drive  up  the  rate  of  returns,  and  so  pile  extra  costs  onto  retailers.  

• Online   return   rates   for  apparel   can   range  between  15%–20%  at  multichannel  retailers  and  35%–40%  at  multi-­‐brand  pure  plays  

• Fitting-­‐tech   services   True   Fit   and   Fits.me   can   push   returns   rates   down   by  double  digits.  

• Other   gains   for   retailers   including   improved   conversion   rates,   with   True   Fit  saying  it  pushes  up  conversion  by  300%.  

• And  Fits.me  emphasizes  the  insight  it  can  offer  to  retailers  on  their  customers’  demographics,  body  perceptions  and  fit  preferences.  

 

  2 Fung Business Intelligence Centre (FBIC) publication: Fit for Purpose? Online Fitting Tech

Copyright © 2015 The Fung Group, All rights reserved.

July 28, 2015

 

Fit for Purpose? Online Fitting Tech and the Boom in Internet Apparel Online  shopping  for  fashion  is  popular,  and  it’s  getting  more  popular  all  the  time.  In  markets  such  as  the  US,  the  UK  and  Germany,  17%  or  more  of  clothing  and  footwear  sales  will  be  made  online  this  year,  as  we  outline   in   our   new   report,  Global   Online   Fashion.   Yet   for   shoppers   buying   apparel   online,   a   perennial  hurdle  is  the  issue  of  fit:  Will  the  product  they  choose  fit  them  properly?    

Product   returns   are   a  natural   result   of   uncertainty  over   fit,   and   this   can  heaps   added   costs  onto   those  businesses   selling  online.   For  multichannel   fashion   retailers,   15%–20%  of  online  purchases   are   typically  returned,  but  for  pure  plays,  the  proportion  can  be  higher.  Return  rates  also  vary  by  brand  offering,  with  retailers   selling  multiple   brands   typically   seeing   returns   of   35%–40%,   but  monobrand   retailers   (such   as  Tommy  Hilfiger)  seeing  an  average  return  rate  of  only  15%–25%,  due  to  greater  consistency  in  sizing  and  consumer  familiarity  with  the  product.  

Shopper   caution   when   choosing   goods   online   also   depresses   conversion   rates,   i.e.,   the   proportion   of  website   visitors   who   go   on   to   buy   a   product.   On   average,   e-­‐commerce   conversion   rates   are   typically  around  2%,  meaning  fully  98%  of  browsers  don’t  go  on  to  buy  at  the  time  they  visit.    

To  help  overcome  these  barriers,  more  and  more  retailers  are  adopting  third-­‐party  online  fitting  services.  In  this  article,  we  look  at  two  major  service  providers,  Fits.me  and  True  Fit,  and  we  talk  to  Jim  Rudall,  Vice  President,  Commercial  &  Enterprise,  at  Fits.me,  and  Jessica  Murphy,  Cofounder  of  True  Fit.  

 

DRIVING  DOWN  RETURN  RATES  

The  Issue  of  Returns  Driving  down  the  number  of  purchases  returned  by  shoppers   is   the  headline  story   for  both  Fits.me  and  True   Fit.   But   there   is   no   simple   answer   to   the   question   of   the   “average”   return   rate   for   apparel   sold  online.  

As  we’ve  already  noted,  return  rates  can  range  between  15%–20%  at  multichannel  retailers  and  35%–40%  at  multi-­‐brand  pure  plays.    

But   return   rates   vary   by   product,   too.   The   rates   are   highest   in   dresses   and   shoes,  where   a   close   fit   is  essential,  Murphy  tells  us,  and  lower  in  knitted  tops,  where  sizing  is  more  generous.  Returns  also  tend  to  be  more   of   a   problem   for   retailers   selling   across   borders.   They’re   a   “huge   problem”   for   international  retailers,  says  Rudall,  as  retailers  see  different  body  shapes  and  different  demographics  from  country  to  country—which  means  there’s  a  big  challenge  in  getting  customers  to  find  their  right  fit.  And,  of  course,  with   cross-­‐border   retailing,   shipping  and   return   charges  are   substantially  higher,  piling  extra   costs  onto  retailers.  

The  Improvements  Our  interviewees  emphasized  the  contribution  their  companies  can  make  to  driving  down  these  rates,  and  both  claim  a  similar  success  rate.  Murphy  notes  that  True  Fit  can  reduce  return  rates  by  10%–50%,  while  Rudall  says  Fits.me  pushes  down  return  rates  by  “single-­‐digit  or  double-­‐digit  percentages,  where  we  work  in  partnership  with  retailers  who  examine  the  whole  customer  experience.”  

And  how  many  online  shoppers  are  using  these  services?  Some  10%–30%  of  consumers  shopping  on  True  Fit–enabled   sites   use   the   fitting   service,   while   at   Fits.me,   the   usage   ratio   varies   from   single-­‐digit  percentages  to  30%.  Rudall  notes  that  Fits.me  usage  varies  according  to  the  type  of  shopper,  not  the  type  of  retailer.  New  users  on  a  website  tend  to  use  the  service  a   lot   in  order  to  understand  the  retailer  and  how   its   fit  differs   from  the  brands   they’re  already   familiar  with,  while   loyal   shoppers  use   the  service   to  “immerse  themselves  in  the  experience.”  

 

  3 Fung Business Intelligence Centre (FBIC) publication: Fit for Purpose? Online Fitting Tech

Copyright © 2015 The Fung Group, All rights reserved.

July 28, 2015

 

“A  simple  size  recommendation  tool   is  not  enough,”  says  Rudall.  “Retailers  must  start  doing  better  with  consistency  of  manufacturing  and  the  availability  of  product  data  across  the  business.”  

WHAT  ELSE  ARE  RETAILERS  GAINING  FROM  THESE  SERVICES?    

Improved  return  rates  are  not  the  only  positive  outcome  of  these  services.  

Conversion  Rates  True   Fit’s   Murphy   tells   us   that   improved   conversion   rates   are   a   big   win   for   her   clients,   with   retailers  typically  seeing  an  increase  in  conversions  of  300%  when  they  adopt  the  service.  On  average,  just  2%  of  website   visits   convert   into   a   purchase,   but   True   Fit   takes   this   average   conversion   rate   up   to   8%.  “Conversion  is  the  biggest  challenge  for  online  retailers  because  98%  don’t  buy  on  a  site,”  says  Murphy.  And  the  number  one  reason  for  low  conversion  rates  in  fashion?  Uncertainty  over  fit.  

Data  and  Insight  Retailers   also   gain   from   the   data   collected   by   these   companies.   Fits.me   helps   stores   build   a   picture   of  their   customers   in   terms  of  measurements,  demographics,  body  perceptions  and   fit  preferences.  These  data   can   be  made   available   to   retailers   across   their   operations,   and   they   have   “heavily   influenced   the  buying  and  design  processes  of  a  number  of  retailers,”  says  Rudall.  For  instance,  retailers  can  make  “more  efficient   and  profitable  purchasing  decisions”  on   a  product   level   based  on  data  on   the  dimensions   and  preferences  of  their  customers.  

True   Fit   offers   its   clients   similar   insight.   The   company   can   show   stores   “who   their   customer   is,”   says  Murphy,  and  help  them  refine  their  product  assortment.  True  Fit  is  adding  200,000  new  users  per  week—equating  to  masses  of  data  that  retailers  can  tap  into.  

Happy  Shoppers  Lastly,   improved   customer   satisfaction  can   be   a   big  win   for   retailers.  Murphy  emphasizes   that   solving   shoppers’  problems  was  the  reason  for  setting  up  True   Fit—the   company   was   founded  “to   solve  a   consumer   issue”—so   she   is  “really   pleased”   that   it’s   now   making  shopping   easier   for   millions   of  consumers.  

And   Rudall   notes   that   the   cost   of  returns   is   not   simply   one   that’s  

measured   by   retailers:   from   a   customer   satisfaction   perspective,   too,   getting   it   right   first   time   is  important.  And  he  notes  that  his  company  can  offer  potential  improvements  to  repeat-­‐purchase  rates  as  a   result   of   engaging   the   customer.   “Most   retailers   are   finding   the   most   important   factor   is   repeat  purchase—building  loyal  customers.”  

 

  4 Fung Business Intelligence Centre (FBIC) publication: Fit for Purpose? Online Fitting Tech

Copyright © 2015 The Fung Group, All rights reserved.

July 28, 2015

INTRODUCING  FITS.ME  AND  TRUE  FIT  

   

London-­‐based  Fits.me  has  historically  offered  a  “virtual  fitting  room”  service,  and  the  company  now  says  it’s   transforming   as   a  business  by  using   the   solutions   it   pioneered   to   “improve  every   aspect  of   apparel  shopping”   for  both   consumer  and   retailer.   “We’re  putting   the  notion  of  personal   fit  preferences  at   the  heart  of  improving  the  shopping  experience  and  producing  a  flow  of  shopper  data  which  can  be  used  to  drive  decision  making  across  a  retail  business,”  says  Rudall.  

Fits.me’s   founding  service  created   images  of  all  possible  sizes  and   fits  of  a  product  using  shape-­‐shifting  robot  mannequins   that   can  expand  and  contract   “to   represent   the  majority  of  physical  dimensions  and  body   shapes.”   The   resulting   images   appear   on   virtual   fitting   room   links   on   retailer   websites,   where   a  shopper  can  see  how  garments  look  and  fit  on  his  or  her  own  body  size  and  shape.  

 

  5 Fung Business Intelligence Centre (FBIC) publication: Fit for Purpose? Online Fitting Tech

Copyright © 2015 The Fung Group, All rights reserved.

July 28, 2015

 

 

True   Fit,   based   in  Woburn,  Massachusetts,   eschews   the   hardware   of  mannequins   and   photography   in  favor   of   leveraging   data   that   already   exists   on   product   sizes   as   well   as   shoppers’   existing   retailer  preferences.  The  company’s  website  says,  “True  Fit  knows  what  fits  because  it  partners  directly  with  over  2,000   of   the   world’s   best   brands   and   leading   retailers,   managing   the   largest   database   of   footwear,  apparel,  and  consumer  fit  data  in  the  world.”  

True   Fit   works   with   apparel   manufacturers   to   get   detailed   points   of   measure   for   garments.   Shoppers  enter  their  height,  weight,  age  and  body  shape,  and  select  their  favorite  brand  for  a  similar  garment.  True  Fit  crunches  the  numbers  to  offer  a  fit  rating  on  a  1–5  scale  for  selected  garments  on  retailers’  sites;  for  garments  where  a  rating  is  not  available,  True  Fit  will  suggest  the  most  appropriate  size  from  those  that  are  available.  

   

 

  6 Fung Business Intelligence Centre (FBIC) publication: Fit for Purpose? Online Fitting Tech

Copyright © 2015 The Fung Group, All rights reserved.

July 28, 2015

WHO  ARE  THEY  WORKING  WITH?    

True   Fit   is   growing   its   client   base   fast.   It   currently   works   with   35   retailers   and   expects   to   double   this  number   by   the   end   of   2015.   True   Fit’s   clients   are  mostly  multichannel   retailers,   in   part   because   these  types   of   retailers   are   interested   in   knowing   their   shoppers   wherever   they   buy,   says   Murphy.   But   the  company  is  now  working  “more  and  more”  with  monobrand  retailers,  bringing  names  such  as  Phase  Eight,  Uniqlo,   ALDO   and   Kate   Spade  New   York   on   board.   In   the  US,   True   Fit’s   clients   include  Nordstrom   and  Macy’s,  while  department  store  chain  House  of  Fraser  has  been  the  company’s  most  high-­‐profile  signing  in  the  UK.  

Fits.me  has  also  focused  on  multichannel  clients.  Big,  tier-­‐one  multichannel  retailers  “run  their  businesses  on  data,  and  the  insight  we  provide  is   invaluable  in  making  decisions  across  their  business,”  says  Rudall.  While   fast-­‐growing   pure   plays   tend   to   focus   on   the   wins   in   top-­‐line   conversion   and   reducing   returns,  larger,  more  established  multichannel  players  tend  to  focus  harder  on  the  insight,  engagement  and  loyalty  they  gain  from  the  service.  

Fits.me’s   clients   currently   include   Hugo   Boss   and   QVC,   and   UK   formalwear   chains   Thomas   Pink   and  T.M.Lewin.  

WHAT’S  AHEAD?  

Finally,  what’s  in  the  pipeline  for  these  two  firms?  

At  True  Fit,  the  focus  this  year  is  on  rolling  out  the  service  to  more  retailers,  and  emphasizing  its  suitability  for  all  apparel  products.  The  company  also  wants  to  get  more  shoppers  on  board:  as  we  already  noted,  it  expects  to  double  its  client  base  by  the  end  of  2015.  And  its  current  data  set  of  nearly  8  million  consumers  will   balloon   to   around   16   million   by   the   end   of   the   year,   Murphy   forecasts.   This   boom   in   users   “has  delighted  us,”  says  Murphy.  “The  tech  was  really  for  them.”  

Meanwhile,   Fits.me   says   it’s   working   with   tier-­‐one   retailers   to   “put   shopper   dimensions   and   fit  preferences   at   the   heart   of   the   shopping   experience   and   help   retailers   to   personalize   the   customer  journey.”  

Both   Rudall   and  Murphy   emphasize   that   their   companies   benefit   retailers   beyond   simply   driving   down  costly  return  rates—they  also  improve  the  customer  experience.  We  think  services  such  as  these  can  help  retailers  take  Internet  shopping  beyond  the  functional  transaction  that  it  has  so  often  been,  allowing  the  channel  to  compete  more  fully  with  the  immersive  experience  of  physical  stores.  

 

  7 Fung Business Intelligence Centre (FBIC) publication: Fit for Purpose? Online Fitting Tech

Copyright © 2015 The Fung Group, All rights reserved.

July 28, 2015

   Deborah  Weinswig,  CPA  Executive  Director—Head  of  Global  Retail  &  Technology  Fung  Business  Intelligence  Centre  New  York:  917.655.6790  Hong  Kong:  +852  6119  1779  [email protected]    Sunny  Chan,  CFA  [email protected]    Marie  Driscoll,  CFA  [email protected]    John  Harmon,  CFA  [email protected]    Aragorn  Ho  [email protected]    John  Mercer  [email protected]    Swarooprani  Muralidhar  [email protected]    Charlie  Poon  [email protected]    Kiril  Popov  [email protected]    Jing  Wang    [email protected]    Steven  Winnick  [email protected]    

   

 


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