#fails in media montitoring - social media week berlin 2013

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

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We hosted a session to talk about what reliably goes wrong in social media monitoring and what might become better soon.

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Page 1: #fails in media montitoring - Social Media Week Berlin 2013

#fails in (social) media monitoring

Patrick BunkFounder & CEO

Page 2: #fails in media montitoring - Social Media Week Berlin 2013

about uberMetrics

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Law/Compliance

Finance Consumer!Data/SCRM

Customer!Support

Social TV Supply Chain

Market research/Strategy

Newsdesk/Reach

API High Throughput Data Mining

(SOCIAL) MEDIA MONITORING

Twitter Tumblr Blogs Foren Google� Facebook TV/Radio News Youtube Flickr Web Print

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What monitoring basically does

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#fail 1 - Why didn‘t you find THIS?

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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?

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Fixing!•find new sources!•use relevant and known sources!

•RSS-Feeds•APIs (Tumblr, Facebook, G+)•Crawlers

•Always check for TOS, Logins and robots.txt

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Robots.txt

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communication-volume about 12 years ago#fail 2 - Volume

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60

Seconds onlineby Qmee & myclever agency

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communication-volume right now

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Filter!

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# fail 3 - Filter

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Filter•Keywords

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text-extraxtion

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Englisches Beispiel SEO SPAM

Automatically generated Content

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Filter•Keywords

•Language, Countries, Geolocations

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Filter•Keywords

•Language, Countries, Geolocations

•Media Segments

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Fail segmentation

Segmentation

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Filter•Keywords

•Language, Countries, Geolocations

•Media Segments

•Sentiment

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Filter•Keywords

•Language, Countries, Geolocations

•Media Segments

•Sentiment

•Relevance

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Filter•Keywords

•Language, Countries, Geolocations

•Media Segments

•Sentiment

•Relevance

•Authors

•Domains (Visitors, Impressions)

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#fail 4 - 10.000+ Mentions

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How to handle10.000+ Mentions?

Alternative 1 do 500 a daymaybe pay someone

Alternative 2only read the onces relevant judged by content

judged by domain

judged by author

judged by backlinks

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Backlinks

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#fail 5 - law

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Law-Restrictments

•Profiling

•Information privacy

•LSR (related rights)

•different laws in different

countries

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Any #wins

to expect?

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#wins in the future

•Better KPIs (SEO)

•Better KPIs (Reach)

•Incident-Clustering

•Comment-Extraction

•Usability and Performance

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Thank you for your time