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ì  eCommerce:    Product  Content  and  Search  Visibility  Study  Study  by  Content  Analy/cs  Q4  2014  

Copyright  2014,  Content  Analy5cs    

ì  Executive  Summary  Product  Content  and  Search  Visibility  Study    

Copyright  2014,  Content  Analy5cs    

1st  Page  or  Bust  

ì  Almost  all  Google  referrals  come  from  page  1  results…  

91.5%  

4.8%  1.7%  0.6%  

Google  eCommerce  Referrals  

1st  Page  

2nd  Page  

3-­‐  5  Page  

5  -­‐  10  Page  

Analysis  describing  user  behavior,  not  specific  search  algorithms  Research  conducted  by  Chi/ka  Insights,  2013  www.chi/ka.com/insights  Copyright  2014,  Content  Analy5cs    

1st  Page  or  Bust  

ì  If  your  product  falls  aSer  page  2,    you’re  prac/cally  invisible  to  the  consumer  

91.5%  

4.8%  1.7%  0.6%  

Google  eCommerce  Referrals  

1st  Page  

2nd  Page  

3-­‐  5  Page  

5  -­‐  10  Page  

Research  conducted  by  Chi/ka  Insights,  2013  www.chi/ka.com/insights  Copyright  2014,  Content  Analy5cs    

What  Drives  Better  Search  Rank?  

ì  Keywords:  ì  Descrip/ve  /tles  ì  Keyword-­‐rich  descrip/ons  

ì  Lis/ng  Quality:  ì  Images  ì  Videos  ì  Discounts  ì  Item  in-­‐stock  

ì  Reviews  ì  High  number  ì  High  score   Be[er  Search  Rank  

Reviews  

Lis/ng  Quality  

Keywords  

Copyright  2014,  Content  Analy5cs    

ì  Correlating  Content  to  Rank  Detailed  findings  

Copyright  2014,  Content  Analy5cs    

Criticality  of  Keywords  

ì  Highly  visible  items  have  the  complete  search  query  in  both  the  /tle  and  descrip/on  

Represents  median  value  of  presence  of  search  queries  in  /tle  or  descrip/on  across  17,000  SKUs  analyzed  on  Walmart.com  Copyright  2014,  Content  Analy5cs    

Search  Query  Usage  

Both  Title  &  Descrip/on  

Either  Title  OR  Descrip/on   None  

1   2   3   4   5   6   7   8   9  

Likelihoo

d  to  be  foun

d  

Page  Rank  

ì  Impact  Listing  Quality  Detailed  findings  

Copyright  2014,  Content  Analy5cs    

Richer  Product  Content  =  Better  Rank  

Product  Content  ABributes   Page  Rank  

KeywordRich  

Well  Reviewed  

Image-­‐Rich  

In-­‐Stock   Has  Video  

%  Page  1   %  Page  2+    

%  Page  3-­‐10  

%  Items  Page  11+  

x   x   x   x   x   5%   25%   50%   50%  

x   x   x   x   5%   5%   50%   50%  

x   x   x   5%   5%   50%   50%  

x   x   5%   25%   75%  

x   5%   95%  

None  of  the  above   5%   95%  Interpreta/on:    In  row  1,  represen/ng  products  with  very  rich  content,  25%  of  items  rank  in  page  2  or  be[er;  50%  rank  page  10  or  be[er;  final  column  represents  %  of  items  in  Page  11  or  be[er,  effec/vely  invisible  to  site  users.  Copyright  2014,  Content  Analy5cs    

Highly  Visible  Items  Have  20+  Reviews  

ì  Direct  correla/on  between  number  of  reviews  and  page  rank  ì  Regardless  of  posi/ve  or  

nega/ve  reviews  ì  Red  line:    Median  value  

for  #  reviews  

 

Copyright  2014,  Content  Analy5cs    

!

Highly  Visible  Items  Have  2+  Product  Images  

ì  The  number  of  images  is  highly  correlated  to  page  rank  

Copyright  2014,  Content  Analy5cs    

!

Product  Profiles  and  Visibility:  Images  

ì  Items  with  images  are  50%  more  likely  to  be  found  on  Page  1  

9.2%  

6.6%  

9.3%  

7.8%  

0.0%  1.0%  2.0%  3.0%  4.0%  5.0%  6.0%  7.0%  8.0%  9.0%  10.0%  

Items  with  Images   Items  Without  Images  

Page  1  

Page  2  

Copyright  2014,  Content  Analy5cs    

Product  Profiles  and  Visibility:  Video  

ì  Items  with  video  are  also  more  likely  to  appear  on  page  1  13.2%  

6.6%  

10.6%  

7.9%  

0.0%  

2.0%  

4.0%  

6.0%  

8.0%  

10.0%  

12.0%  

14.0%  

Items  With  Video   Items  Without  Video  

Page  1  

Page  2  

Copyright  2014,  Content  Analy5cs    

Product  Profiles  and  Visibility:  In-­‐Stock  

ì  In-­‐stock  items  are  more  than  700%  more  likely  to  appear  on  page  1  

LeS  chart  shows  distribu/on  of  page  rank  for  items  which  are  in  stock  Right  chart  shows  distribu/on  of  page  rank  for  items  which  are  out  of  stock    

 Copyright  2014,  Content  Analy5cs    

ì  The  Nuances  of  Online  Pricing  Detailed  findings  

Copyright  2014,  Content  Analy5cs    

In  Aggregate,  Price  Isn’t  a  Big  Factor  

ì  Items  found  on  page  1  and  2  have  about  the  same  prices  as  items  found  on  page  10  

Copyright  2014,  Content  Analy5cs    

Effect  of  Price  on  Different  Search  Types  

Brand  Search  ì  Case  Study:  

“Hello  Ki[y”  

ì  Shopper  wants  to  see  what  her  favorite  brand  has  to  offer  

Commodity  Search  

ì  Case  Study:  “HDMI  Cable”  

ì  Shopper  wants  item  at  a  good  price  

Targeted  Search  ì  Case  Study:  

“Ninja  Blender”  

ì  Shopper  knows  exactly  what  product  she  wants  

Copyright  2014,  Content  Analy5cs    

Commodity  Search  Results:  Price  Matters  

Page  Rank  

Price  

25%   50%   75%  

All   $7.49   $44.95   $145.00  

1   $4.77   $7.16   $9.56  

2-­‐5   $7.97   $11.76   $13.97  

ì  “HDMI  Cable”  search  

ì  Lower  prices  produce  out-­‐size  results  ì  One-­‐quarter  of  search  results  

are  for  items  over  $145,  but  these  premium  products  are  so  low-­‐ranked,  they’re  all  but  ‘search-­‐invisible’  

ì  Products  priced  below  $45  have  significant  visibility  boost  

ì  Op/mum  price  for  visibility  is  $7.16  

*  Percentage  headers  indicate  that  x%  of  items  fall  at  or  below  this  value.  For  example,  when  we  consider  all  search  results,  50%  are  priced  at  or  below  $44.95    

 Copyright  2014,  Content  Analy5cs    

Brand  Search  Results:  Reasonable  Pricing  

Page  Rank  

Price  

25%   50%   75%  

All   $9.97   $19.98   $30.09  

1   $12.65   $14.86   $31.71  

2-­‐5   $7.97   $11.76   $13.97  

ì  “Hello  Ki[y”  search  

ì  All  results  have  en/re  search  string  in  /tle  ì  Product  price  is  more  

significant  

ì  Items  priced  below  $19.98  are  much  more  visible  than  more  expensive  items  

ì  Op/mum  price  for  search  visibility  is  $15  

*  Percentage  headers  indicate  that  x%  of  items  fall  at  or  below  this  value.  For  example,  when  we  consider  all  search  results,  50%  are  priced  at  or  below  $19.88    

 Copyright  2014,  Content  Analy5cs    

Targeted  Product  Search  Results:  Lower  Pricing  Hurts  Results  

Page  Rank  

Price  

25%   50%   75%  

All   $25.08   $39.90   $78.62  

1   $71.72   $99.00   $149.74  

2-­‐5   $22.64   $33.34   $59.90  

ì  “Ninja  Blender”  search  

ì  Page  Rankings  correlate  to  original  product  search  and  accessories  ì  Page  1  items  are  blenders  ($$$)  ì  Page  2  items  are  accessories  ($)  

ì  Items  priced  above  $78.62  are  favored  in  search  results  

ì  Op/mum  price  for  visibility  is  $99.00  

*  Percentage  headers  indicate  that  x%  of  items  fall  at  or  below  this  value.  For  example,  when  we  consider  all  search  results,  50%  are  priced  at  or  below  $39.90    

 Copyright  2014,  Content  Analy5cs    

ì  Study  Recommendations  Page  Rank  =  Traffic  =  Sales  

Copyright  2014,  Content  Analy5cs    

Getting  to  Page  1  

ì  Enrich  product  lis/ngs  ì  Photos  ì  Videos  ì  Keywords  ì  Discounts  for  commodity  goods  

ì  Display  good  value  in  your  category  

ì  Have  stock  ready  to  ship  

ì  Engage  customers  to  provide  feedback  ì  Lots  of  reviews  

ì  Sa/sfy  your  customers  ì  Good  reviews  

Copyright  2014,  Content  Analy5cs    

ì  Research  Methodology  2014  

Copyright  2014,  Content  Analy5cs    

Research  Methods  

ì  Research  /meframe:    Q3  2014  

ì  Analyzed  search  performance  of  products  based  on  product  page  content,  item  specifics,  keywords,  images,  etc.  

ì  Over  17,000  products  sampled  on  Walmart.com  

ì  Longitudinal  study  showing  product  rankings  over  /me  

ì  Full  product  informa/on  collected  on  all  search  results  

Copyright  2014,  Content  Analy5cs    


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