for The User Centric RetailerCreating Intelligent, Optimized Online Presence for Immersive and Satisfying Consumer Experie...
Challenges of an online retailer                                        How to:Potential customers                      g...
Solution: Content RecommendationPersonal profiles of                                  Product profilespurchase interests R...
Kesko and Leiki• Kesko is leading multi-sector retailer in Northern Europe• Kesko operates in the food, home & speciality ...
Contextual product recommendationsCase: Anttila.fi                                 Anttila is a large Finnish chain of    ...
Personalised product recommendationsCase: Pirkka and Anttila                                                              ...
Personalised product recommendationsCase: Pirkka and Anttila                                                            2/...
Personalised product recommendationsCase: Pirkka and Anttila #2                                                           ...
Personalised product recommendationsCase: Pirkka and Anttila #2                                            2/2            ...
Customers & Awards Customers                                           Awards                                             ...
Contact us Leiki Helsinki                                   Leiki London Jari Kokkonen, VP Bus. Dev.                      ...
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Leiki for kesko_-the_user_centric_retailer

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Creating intelligent, optimized online presence for immersive and satisfying consumer experience.

Large retailers are also publishers; like media companies, they often have editorial, user generated and product content. This Leiki Case Study on the leading Northern European retailer Kesko shows how both content owners and consumers benefit from Leiki's intelligent recommendations.

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Leiki for kesko_-the_user_centric_retailer

  1. 1. for The User Centric RetailerCreating Intelligent, Optimized Online Presence for Immersive and Satisfying Consumer Experience
  2. 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. 3. Solution: Content RecommendationPersonal profiles of Product profilespurchase 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. 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. 5. Contextual product recommendationsCase: 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. 6. Personalised product recommendationsCase: 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. 7. Personalised product recommendationsCase: 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. 8. Personalised product recommendationsCase: 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. 9. Personalised product recommendationsCase: 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. 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. 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

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