Your SlideShare is downloading. ×
Fashion Dashboard
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Saving this for later?

Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime - even offline.

Text the download link to your phone

Standard text messaging rates apply

Fashion Dashboard

1,578
views

Published on

Published in: Technology

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
1,578
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
8
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 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. 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. 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. 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. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Select your locations STEPHANALBER@GMAIL.COM // @FRANCI_DE
  • 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. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Positive / Negative Mentions STEPHANALBER@GMAIL.COM // @FRANCI_DE
  • 8. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER Quality Analysis STEPHANALBER@GMAIL.COM // @FRANCI_DE
  • 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. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER PRADA Vantage: unique & interesting shop-windows STEPHANALBER@GMAIL.COM // @FRANCI_DE
  • 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. 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. 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. 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. 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. 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. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBERAbout me: STEPHAN ALBERDEVELOPER & ENTREPRENEUR international experience STEPHANALBER@GMAIL.COM // @FRANCI_DE
  • 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