The document discusses common failures that can occur in social media monitoring, including failing to find relevant mentions, not using appropriate sources, inadequate filtering of content, being unable to handle high volumes of mentions, and not complying with applicable laws and privacy restrictions. It provides suggestions for addressing these failures such as expanding relevant sources, improving filtering techniques, managing volumes, and ensuring compliance with legal requirements.

1. #fails in (social)
media monitoring
Patrick Bunk
Founder & CEO

2. about uberMetrics

3. Law/
Compliance
Twitter
Tumblr
Blogs
Foren
Google
Facebook
TV/Radio
News
Youtube
Flickr
Web
Print
Finance
High Throughput
Data Mining
Social TV
Supply
Chain
Consumer!
Data/SCRM
API
Customer!
Support
(SOCIAL) MEDIA
MONITORING
Market
research/
Strategy
Newsdesk
/Reach

4. What monitoring
basically does

5. #fail 1 - Why didn‘t
you find THIS?

6. Sources
•Social Networks (Facebook, G+, LinkedIn)
•Blogs (Blogger, LiveJournal, Wordpress)
•Microblogs (Tumblr, Twitter)
•Boards (4chan, reddit)
•Consumer (dooyoo, ciao)
•Video (Youtube, Vimeo)
•Photo (flickr, SmugMug, Photobucket)
•News (techcrunch, theverge)
•Obscure selfritten HTML-monsters
So then fix
your sources?

7. Fixing!
•find new sources!
•use relevant and known sources!
•RSS-Feeds
•APIs (Tumblr, Facebook, G+)
•Crawlers
•Always check for TOS, Logins
and robots.txt

8. Robots.txt

10. communication-volume
#fail12- years ago
2 Volume
about

11. 60
Seconds
online
by Qmee &
myclever
agency

12. communication-volume
right now

13. Filter!

14. # fail 3 - Filter

15. Filter
•Keywords

16. text-extraxtion

17. Englisches Beispiel SEO
Automatically
SPAM generated Content

18. Filter
•Keywords
•Language, Countries, Geolocations

20. Filter
•Keywords
•Language, Countries, Geolocations
•Media Segments

21. Fail segmentation
Segmentation

22. Filter
•Keywords
•Language, Countries, Geolocations
•Media Segments
•Sentiment

23. Filter
•Keywords
•Language, Countries, Geolocations
•Media Segments
•Sentiment
•Relevance

24. Filter
•Keywords
•Language, Countries, Geolocations
•Media Segments
•Sentiment
•Relevance
•Authors
•Domains (Visitors, Impressions)

25. #fail 4 - 10.000+ Mentions

26. Alternative 1
do 500 a day
maybe pay
someone
Alternative 2
only read the
onces relevant
judged by content
judged by domain
judged by author
judged by
backlinks
How to handle10.000+ Mentions?

27. Backlinks

28. #fail 5 - law

29. Law-Restrictments
•Profiling
•Information privacy
•LSR (related rights)
•different laws in different
countries

30. Any #wins
to expect?

31. #wins in the future
•Better KPIs (SEO)
•Better KPIs (Reach)
•Incident-Clustering
•Comment-Extraction
•Usability and Performance

32. Thank you
for your time