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. The User Centric Retailer Creating Intelligent, Optimized Online Presence for Immersive and Satisfying Consumer Experience for
  2. 2. 2 From Search to Discovery. From Brands to Relevancy. www.leiki.com 2 Challenges of an online retailer Potential customers Products and services to sell How to:  get more traffic?  increase sales?  keep users? Everyone is using SEO and SEM. But people only search when the content is hard to find...
  3. 3. 3 From Search to Discovery. From Brands to Relevancy. www.leiki.com 3 Solution: Content Recommendation Recommend relevant content based on context or behaviour across all of your sites and on any media site. Potential customers Products and services to sell
  4. 4. 4 From Search to Discovery. From Brands to Relevancy. www.leiki.com 4 • 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 online services for content owners such as publishers and retailers  create group level synergies by automatic content recommendation  increase traffic, audience and revenues for all web sites • Services for context-based intelligence, intelligent user profiling, and semantic analysis for easy discovery of personally interesting content • Leiki’s mission is to enable intelligent, optimized online presence – ‘the user centric web’
  5. 5. 5 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
  6. 6. 6 From Search to Discovery. From Brands to Relevancy. www.leiki.com 6 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. Personalised product recommendations Case: Pirkka and Anttila 2/2 Personalised banner ad shuffles 3 most interesting products based on user’s profile
  7. 7. 7 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.
  8. 8. 8 From Search to Discovery. From Brands to Relevancy. www.leiki.com 8 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. Personalised product recommendations Case: Pirkka and Anttila #2 2/2
  9. 9. 9 From Search to Discovery. From Brands to Relevancy. www.leiki.com 9 Our customers love Leiki We are currently serving billions of recommendations per month!
  10. 10. 10 From Search to Discovery. From Brands to Relevancy. www.leiki.com 10 Try the Leiki demos! Leiki SurfBoard collects personally interesting articles, blogs, videos and products based on your interests, learning more about what you like the more you use it. Try it at leiki.com/surfboard Semantic Analysis demo Enter free text or URL of any web page. We profile your input and display recommendations for related products, news articles and videos. Try it at leiki.com/urldemo
  11. 11. 11 Vision Make content discovery effortless and fun. Mission Grow revenues by driving the most valuable content to the right users. Augment content owners’ strategic vision with our technological edge. Company Provides a software as a service solution for automatic content discovery. Profitable since 2009 Customers Major publishers, retailers and public sector organizations. Product Leiki Focus has the most accurate real-time analysis of content and user interests. Uniquely able to pre-target products to people who have never visited the site the content is on. Based on a semantic software engine with an ontology of 100k+ interconnected topics – continuously developed since 2000. Offices Helsinki and Silicon Valley Awards Leiki.com Media Innovation of the Year Award Winner of ‘Most Innovative Technology’
  12. 12. 12 Contact us Leiki Europe Helsinki HQ Leiki Americas San Mateo, CA Jari Kokkonen VP Bus. Dev. +358 50 4322356 jari.kokkonen@leiki.com Petrus Pennanen CEO +358 40 5020355 petrus.pennanen@leiki.com Roy McDonald President Leiki NA +1 650 867 6262 roy@leiki.com

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