Successfully reported this slideshow.
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.

Fashion Dashboard

2,087 views

Published on

Published in: Technology
  • Be the first to comment

Fashion Dashboard

  1. 1. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Fashion #DASHBOARD How are you doing in [local] SOCIAL MEDIA? STEPHANALBER@GMAIL.COM // @FRANCI_DE
  2. 2. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER5 things you might do wrongin [local] social media// Engage Your are not able to engage people taking and sharing pictures or your products?// Present Your shop-windows are not interesting?// #Teach Your customers are not using hashtags?// Convert People check in but don’t take pictures or tweet about you?// Influence You don’t have fashion influencers talking about brand? STEPHANALBER@GMAIL.COM // @FRANCI_DE
  3. 3. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER You can’t manage what you don’t measure STEPHANALBER@GMAIL.COM // @FRANCI_DE
  4. 4. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER The metrics Hashtag/ Location + Location Keyword Keywords based based combined Amount of Amount of Measure Quantity Pictures/ Mentions Engagement Checkins Review Negative vs. In-store / Quality single Positive shop-window Pictures Mentions Analysis STEPHANALBER@GMAIL.COM // @FRANCI_DE
  5. 5. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Select your locations STEPHANALBER@GMAIL.COM // @FRANCI_DE
  6. 6. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Compare locations, brands & stores Timeline & Shares January 2013 Demo URL: http://fashiondashboard.herokuapp.com/ STEPHANALBER@GMAIL.COM // @FRANCI_DE
  7. 7. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Positive / Negative Mentions STEPHANALBER@GMAIL.COM // @FRANCI_DE
  8. 8. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Quality Analysis STEPHANALBER@GMAIL.COM // @FRANCI_DE
  9. 9. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Case study: COMPETITIVE BENCHMARKING H&M vs. PRADA 11055 vs 2846 Checkins STEPHANALBER@GMAIL.COM // @FRANCI_DE
  10. 10. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER PRADA Vantage: unique & interesting shop-windows STEPHANALBER@GMAIL.COM // @FRANCI_DE
  11. 11. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER H&M Possible issue: Entrance hall is not practical / interesting for pic sharing many small items, few unique/large items STEPHANALBER@GMAIL.COM // @FRANCI_DE
  12. 12. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Case study PRADA gets 4.4x more shared pictures per checkins than H&M STEPHANALBER@GMAIL.COM // @FRANCI_DE
  13. 13. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Utilization - Competitive benchmarking - Measure influence of local, nationwide & global campaigns - Analyze store layouts - Get customer perspective - Identify store hours/days peaks - Compare (store) locations - Research tool for fashion journalists - etc. STEPHANALBER@GMAIL.COM // @FRANCI_DE
  14. 14. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER More stats to come - Compare brands/stores nationwide - Compare cities - Find influencers - Include likes in stats - Compare with Foursquare data - Analize hashtags - Connect with Foursquare pages (managed loca- tions) STEPHANALBER@GMAIL.COM // @FRANCI_DE
  15. 15. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Target audience - Stores / retail chains - Fashion magazines / journalists - Brands / Designers Business model Software as a service - monthly fee (based on feature set) - indiviual analysis STEPHANALBER@GMAIL.COM // @FRANCI_DE
  16. 16. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBERProject SWOT Analysis Helpful HarmfulInternal Strengths: Weaknesses: - Tech Experience (10+ years) - 1st Start-Up in US - Fast build - New to Fashion - Network / Infrastructure Industry (Noise Marketing) - Start-Up Experience - Innovative: Competetive BenchmarkingExternal Opportunities: Threats: - More sources to come - Depends on sources / (Pinterest) APIs - Spin-Off to other markets - Trend: SocialLocalMobile - Fast revenue - Diverse types of clients STEPHANALBER@GMAIL.COM // @FRANCI_DE
  17. 17. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBERAbout me: STEPHAN ALBERDEVELOPER & ENTREPRENEUR international experience STEPHANALBER@GMAIL.COM // @FRANCI_DE
  18. 18. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBERAbout me: STEPHAN ALBERDEVELOPER & ENTREPRENEURBACHELOR OF SCIENCE: Online Media interdisciplinary skills - technology, economics, designENTREPRENEUR 2001-2008 // Social Network / Event Guide [DE] 2010-2012 // Social Media / Web Engineering [DE/CH/AT/FR/US]EMPLOYEE 2007-2009 // Developer [DE] 2012-2013 // Developer [US] STEPHANALBER@GMAIL.COM // @FRANCI_DE

×