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We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.'s Brand and Category Personalization


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Taking personalization to the next level with Brand & Category personalization. Read on to learn more

Published in: Retail
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  1. 1. Cart abandonment costs for e-marketers per year. Personalizing every step of shopper’s journey can improve cart retention. (Source: Customers say that personalization influences their shopping decisions. (Source: Infosys) Consumers have chosen, recommended or paid more for a brand that provides a personalized experience. (Source: Forrester)
  2. 2. Uncovering shopper intent from explicit actions every click, swipe, view, brand, price & more Customizing each step of shopper journey & enhancing customer experience combines behavioral insights above & predictions to form detailed maps of shoppers, their profile and mindset Uncovering shopper intent based on implicit choices using visual cues - color, pattern, shape, style, occasion Algorithm-driven tailor-made journey Changes to individual needs real time
  3. 3. Brand and category personalization involves 1. Understanding the specific brands and categories that the shopper is interested in 2. Combining explicit user actions (like following brands) with implicit signals (like viewing products) and buying patterns 3. Individualize shopper experiences using both visual and non-visual cues to show relevant recommendations that complement the shopper’s brand and category preferences are shown 4. Improve overall engagement and conversions.
  4. 4. John’s Computer Vision and Image Recognition engines extract visual cues from products & combines them with NLP & data derived non visual cues to create a persona for John, allowing merchandisers to better identify his intent, and personalize his journey in real time. Shopper Persona
  5. 5. Based on John’s interactions, his preferred brands are Apple, Louis Vuitton & Tory Burch, and his preferred categories include watches, t-shirts, and ipods. Using this intelligence, showcases brands and categories that are closely associated with John’s preferences, giving retailers a way of improving catalog discovery and overall upsell. Associated Brands Associated Categories John’s preferred brands, and categories based on his engagement history John
  6. 6. For Merchandisers ● Strong brand tie-ups ● Easy brand promotion ● Target relevant brands to users For Shoppers ● More relevant results ● Higher engagement with brands ● Discover related brands ● Browse through allied categories
  7. 7. X Leading Asian Retailer, A family brand with a $150 B market cap
  8. 8. Since there is no user history, the categories suggested are at a higher level, and the brands suggested are from what is trending from across the site. 1 Homepage on Mobile Website
  9. 9. 2 As the user explores the site, we learn that he is interested in cameras, and is even following Nikon and Canon. The user continues browsing through television sets and starts following Samsung.
  10. 10. Based on this, the sub-categories (DSLRs, Camera Lenses, Smart TVs) suggested in the “Discover More” section, and brands (Nikon, Samsung) in the “Fresh from Brands” section in the homepage are now aligned with what the user has shown affinity towards. 3
  11. 11. Curated brand feeds Category Sales Gratuitous Offers Homepage Banners Brand-boosted Recommendations Notifications on brand Sales
  12. 12. Read ore