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 The User Centric Retailer
Creating Intelligent, Optimized Online Presence
 for Immersive and Satisfying Consumer Experience
Challenges of an online retailer


                                        How to:
Potential customers                      get more traffic?   Products and services to sell
                                         increase sales?
                                         keep users?


               Everyone is using SEO and SEM.
   But people only search when the content is hard to find...



         From Search to Discovery.
         From Brands to Relevancy.   www.leiki.com
                                                                                       2
Solution: Content Recommendation



Personal profiles of                                  Product profiles
purchase interests




 Recommend relevant content based on context or behaviour.
       Across all of your sites and on any media site.

          From Search to Discovery.
          From Brands to Relevancy.   www.leiki.com
                                                                         3
Kesko and Leiki

• Kesko is leading multi-sector retailer in Northern Europe
• Kesko operates in the food, home & speciality goods, building & home improvement, and car &
  machinery trades
• Kesko has dozens of websites and about 2,000 stores in Finland, Sweden, Norway, Estonia, Latvia,
  Lithuania, Russia, and Belarus




• Leiki provides an online service that helps content owners such as publishers and retailers
   benefit from group level synergies by automatic content recommendation
   increase traffic, audience and revenues for all web sites
• Leiki Focus is a solution for context-based intelligence, intelligent user profiling, and semantic
  analysis that enables easy discovery of personally interesting content
• Leiki’s mission is to enable intelligent, optimized online presence - ‘the user centric web’




             From Search to Discovery.
             From Brands to Relevancy.   www.leiki.com
                                                                                                       4
Contextual product recommendations
Case: Anttila.fi                                 Anttila is a large Finnish chain of
                                                 department stores, part of the
                                                 Kesko Group.

                                                 On the Anttila.fi section pages
                                                 (various topics such as fashion,
                                                 beauty, home, entertainment)
                                                 products from the group’s web
                                                 shops are recommended based on
                                                 page content. This way users can
                                                 directly buy the items they are
                                                 reading about.

                                                 Example
                                                 User reads about fall fashion and
                                                 Leiki Focus automatically selects
                                                 the most relevant products for the
                                                 banner ad.


     From Search to Discovery.
     From Brands to Relevancy.   www.leiki.com
                                                                                  5
Personalised product recommendations
Case: Pirkka and Anttila                                                                 1/2
                                     A personal interest profile is created from user’s clicks on
                                     Kesko websites in real time.

                                     Example
                                     User reads an article on bathroom renovation on Kesko’s
                                     loyal customers magazine Pirkka.fi. The page displays
                                     contextual recommendations. What happens when the user
                                     then goes to the Anttila.fi front page for the first time?
                                     See next page 

                                             Contextual recommendations on Pirkka.fi
                                                 selected based on article content




                                                 Screenshots translated to English.

     From Search to Discovery.
     From Brands to Relevancy.   www.leiki.com
                                                                                                    6
Personalised product recommendations
Case: Pirkka and Anttila                                                            2/2
                                                 Personalised banner ad shuffles 3 most
                                                 interesting products based on user’s profile




                                                 After reading an article on bathroom
                                                 furnishing on Pirkka.fi, the banner on
                                                 Anttila.fi displays products based on the
                                                 user profile; different bathroom items
                                                 automatically picked from a selection of
                                                 tens of thousands of products.

     From Search to Discovery.
     From Brands to Relevancy.   www.leiki.com
                                                                                                7
Personalised product recommendations
Case: Pirkka and Anttila #2                                                               1/2
                                                 Example
                                                 Another user reads an article on mushroom picking
                                                 on Kesko’s loyal customers site Pirkka.fi. Relevant
                                                 contextual recommendations are shown on the
                                                 page, while the personal interest profile is updated.
                                                 See next page 

                                                 Contextual recommendations:
                                                 Mushroom-hunting tips and relevant
                                                 products.




     From Search to Discovery.
     From Brands to Relevancy.   www.leiki.com
                                                                                                   8
Personalised product recommendations
Case: Pirkka and Anttila #2                                            2/2
                                                 After reading the mushroom
                                                 picking article on Pirkka.fi, the
                                                 Anttila.fi frontpage banner now
                                                 displays products based on the
                                                 user profile, such as a GPS
                                                 navigator.

                                                 The mushroom hunting
                                                 experience has then been fully
                                                 supplied for with tips for the
                                                 forest trip, GPS, mushroom knife
                                                 and basket.

                                                 An immersive and satisfying
                                                 consumer experience created
                                                 automatically through Leiki’s
                                                 intelligent recommendations.


     From Search to Discovery.
     From Brands to Relevancy.   www.leiki.com
                                                                                9
Customers & Awards

 Customers                                           Awards



                                                       2008 Media
                                                       Innovation
                                                   of the Year Award




                                                    Winner of 'Most
                                                 Innovative Technology'




     From Search to Discovery.
     From Brands to Relevancy.   www.leiki.com
                                                                          10
Contact us


 Leiki Helsinki                                   Leiki London
 Jari Kokkonen, VP Bus. Dev.                      Simon Broadhurst, Bus. Dev.
 +358 50 4322356                                  +44 7584 344344
 jari.kokkonen@leiki.com                          simon.broadhurst@leiki.com

 Petrus Pennanen, CEO                             Mark Bembridge, Leiki UK MD
 +358 40 5020355                                  +44 7789 996927
 petrus.pennanen@leiki.com                        mark.bembridge@leiki.com




      From Search to Discovery.
      From Brands to Relevancy.   www.leiki.com
                                                                                11

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Leiki for kesko_-the_user_centric_retailer

  • 1. for The User Centric Retailer Creating Intelligent, Optimized Online Presence for Immersive and Satisfying Consumer Experience
  • 2. Challenges of an online retailer How to: Potential customers  get more traffic? Products and services to sell  increase sales?  keep users? Everyone is using SEO and SEM. But people only search when the content is hard to find... From Search to Discovery. From Brands to Relevancy. www.leiki.com 2
  • 3. Solution: Content Recommendation Personal profiles of Product profiles purchase interests Recommend relevant content based on context or behaviour. Across all of your sites and on any media site. From Search to Discovery. From Brands to Relevancy. www.leiki.com 3
  • 4. Kesko and Leiki • Kesko is leading multi-sector retailer in Northern Europe • Kesko operates in the food, home & speciality goods, building & home improvement, and car & machinery trades • Kesko has dozens of websites and about 2,000 stores in Finland, Sweden, Norway, Estonia, Latvia, Lithuania, Russia, and Belarus • Leiki provides an online service that helps content owners such as publishers and retailers  benefit from group level synergies by automatic content recommendation  increase traffic, audience and revenues for all web sites • Leiki Focus is a solution for context-based intelligence, intelligent user profiling, and semantic analysis that enables easy discovery of personally interesting content • Leiki’s mission is to enable intelligent, optimized online presence - ‘the user centric web’ From Search to Discovery. From Brands to Relevancy. www.leiki.com 4
  • 5. Contextual product recommendations Case: Anttila.fi Anttila is a large Finnish chain of department stores, part of the Kesko Group. On the Anttila.fi section pages (various topics such as fashion, beauty, home, entertainment) products from the group’s web shops are recommended based on page content. This way users can directly buy the items they are reading about. Example User reads about fall fashion and Leiki Focus automatically selects the most relevant products for the banner ad. From Search to Discovery. From Brands to Relevancy. www.leiki.com 5
  • 6. Personalised product recommendations Case: Pirkka and Anttila 1/2 A personal interest profile is created from user’s clicks on Kesko websites in real time. Example User reads an article on bathroom renovation on Kesko’s loyal customers magazine Pirkka.fi. The page displays contextual recommendations. What happens when the user then goes to the Anttila.fi front page for the first time? See next page  Contextual recommendations on Pirkka.fi selected based on article content Screenshots translated to English. From Search to Discovery. From Brands to Relevancy. www.leiki.com 6
  • 7. Personalised product recommendations Case: Pirkka and Anttila 2/2 Personalised banner ad shuffles 3 most interesting products based on user’s profile After reading an article on bathroom furnishing on Pirkka.fi, the banner on Anttila.fi displays products based on the user profile; different bathroom items automatically picked from a selection of tens of thousands of products. From Search to Discovery. From Brands to Relevancy. www.leiki.com 7
  • 8. Personalised product recommendations Case: Pirkka and Anttila #2 1/2 Example Another user reads an article on mushroom picking on Kesko’s loyal customers site Pirkka.fi. Relevant contextual recommendations are shown on the page, while the personal interest profile is updated. See next page  Contextual recommendations: Mushroom-hunting tips and relevant products. From Search to Discovery. From Brands to Relevancy. www.leiki.com 8
  • 9. Personalised product recommendations Case: Pirkka and Anttila #2 2/2 After reading the mushroom picking article on Pirkka.fi, the Anttila.fi frontpage banner now displays products based on the user profile, such as a GPS navigator. The mushroom hunting experience has then been fully supplied for with tips for the forest trip, GPS, mushroom knife and basket. An immersive and satisfying consumer experience created automatically through Leiki’s intelligent recommendations. From Search to Discovery. From Brands to Relevancy. www.leiki.com 9
  • 10. Customers & Awards Customers Awards 2008 Media Innovation of the Year Award Winner of 'Most Innovative Technology' From Search to Discovery. From Brands to Relevancy. www.leiki.com 10
  • 11. Contact us Leiki Helsinki Leiki London Jari Kokkonen, VP Bus. Dev. Simon Broadhurst, Bus. Dev. +358 50 4322356 +44 7584 344344 jari.kokkonen@leiki.com simon.broadhurst@leiki.com Petrus Pennanen, CEO Mark Bembridge, Leiki UK MD +358 40 5020355 +44 7789 996927 petrus.pennanen@leiki.com mark.bembridge@leiki.com From Search to Discovery. From Brands to Relevancy. www.leiki.com 11