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Guest lecture given on the 16th of April, 2012 at the IT-University in Copenhagen, Denmark.
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Social media analytics_itu_20120416
1.
This presenta,on where
given at a guest lecture at the IT-‐University of Copenhagen For more on ITU go to ITU.dk Social Media Analy3cs April 2012 Page 1 | © 2012 MINDJUMPERS. All rights reserved.
2.
Social Media Analy3cs
Objec3ve of the lecture To share how Mindjumpers work with social analy,cs with our clients Page 2 | © 2012 MINDJUMPERS. All rights reserved.
3.
Two business units
under the Social Media Group Page 3 | © 2012 MINDJUMPERS. All rights reserved.
4.
Mindjumpers – Social
Media Agency • The agency operates in Northern Europe with a main presence in the Nordic • Have in just 3 years become a leading full service social media agency in the Nordics • Profitable and based on organic growth • Key offering is to help companies and brands organize, manage and engage in social media Page 4 | © 2012 MINDJUMPERS. All rights reserved.
5.
We enable companies
to strategic develop and execute interna3onal social media ini3a3ves in a structured, quality assured and cost effec3ve way across markets with focus on crea3ng effect and value Page 5 | © 2012 MINDJUMPERS. All rights reserved.
6.
Securing offering through
proven and structured process Organize • Secure quality and best prac3ce in community management across markets/countries Manage & Measure • Secured through training, procedures, guides, manuals and key performance measurement Engage • Secure • Brand consistent • Social media authen3c • High responsive • Na3ve speaking • Quality assured … Community management Page 6 | © 2012 MINDJUMPERS. All rights reserved.
7.
”Technologies which
facilitate online interac8on between people” Page 7 | © 2012 MINDJUMPERS. All rights reserved.
8.
What is big
data? Every day, we create 2.5 quin3llion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate informa3on, posts to social media sites, digital pictures and videos, purchase transac3on records, and cell phone GPS signals to name a few. This data is big data. Page 8 | © 2012 MINDJUMPERS. All rights reserved.
9.
Social Data…
(Business intelligence) 250 million daily posts on twi^er, a 2,000 percent increase in just two years Facebook have 845 million ac3ve users at the end of December 2011—and more than 425 million of them use the site daily. Source: ’Ac3onable Social Analy3cs’, white paper by Awareness Inc., April 2012 Page 9 | © 2012 MINDJUMPERS. All rights reserved.
10.
Defini3on of Social
Analy3cs? Intelligence Insights – Data mining Performance measurement Metrics ROI Repor3ng Page 10 | © 2012 MINDJUMPERS. All rights reserved.
11.
ACTIONABLE SOCIAL ANALYTICS:
ACTIONABLE SOCIAL ANALYTICS: From Social Media Metrics to Business Insights From Social Media Metrics to Business Insights APRIL 2012 SOCIAL 1 Page 11 | © 2012 MINDJUMPERS. All rights reserved.
12.
Analy,cs experts have
developed consensus around the defini,on of social analy,cs. Jim Sterne, the author of Social Media Metrics, defines social media analy,cs as “the study of social media metrics that help drive business strategy.” Jonas Klit Nielsen, managing partner at Mindjumpers, one of the premier social marke,ng agencies in Europe, agrees and adds that social analy,cs is “the ability to analyze performance of social media ini8a8ves and social data for business intelligence.” Connie Bensen, senior manager, community strategy and execu,on at Dell, provides a slightly different defini,on: “Social analy8cs consists of web analy8cs, engagement, and revenue generated from social.” In her view, the web analy,cs and engagement metrics direct marke,ng decisions and direc,ons, while new customer acquisi,on rates, shorter customer acquisi,on ,me and higher lead conversion rates are among the top sales effec,veness metrics. Source: Ac,onalbe Social Analy,cs, April 2012, Awarness inc. Page 12 | © 2012 MINDJUMPERS. All rights reserved.
13.
Page 13 |
© 2012 MINDJUMPERS. All rights reserved.
14.
Social insight and
measurement Strategic dashboard to gain insights on our brands and consumers and the performance of our social strategy and ini3a3ves Buzz tracking Plagorm API Campaign Offline Web analy3c (real 3me) Data Mining performance ATL & BTL Listen & Social Content SEO Sales analyse Profiling Monitor Trend mining Ads Traffic Reputa3on Apps Benchmark Loyalty (Plagorm/device) Page 14 | © 2012 MINDJUMPERS. All rights reserved.
15.
The Value Proposition Page
15 | © 2012 MINDJUMPERS. All rights reserved.
16.
The Strategy Page 16
| © 2012 MINDJUMPERS. All rights reserved.
17.
Set clear objectives,
targets and KPI´s Page 17 | © 2012 MINDJUMPERS. All rights reserved.
18.
Deploy and analyse
on Accelerators to reach your KPI´s Page 18 | © 2012 MINDJUMPERS. All rights reserved.
19.
Page 19 |
© 2012 MINDJUMPERS. All rights reserved.
20.
Plagorm API &
Partnership Example: Facebook Page 20 | © 2012 MINDJUMPERS. All rights reserved.
21.
Social Profiling
-‐ Interests -‐ Compe3tors, Movies, Series, Actors, Sports -‐ How omen do they interact with us? -‐ Sen3ment -‐ Influence -‐ Friends of fans Page 21 | © 2012 MINDJUMPERS. All rights reserved.
22.
Buzz – Tracking
Page 22 | © 2012 MINDJUMPERS. All rights reserved.
23.
Campaign performance (benchmark)
Page 23 | © 2012 MINDJUMPERS. All rights reserved.
24.
Page 24 |
© 2012 MINDJUMPERS. All rights reserved.
25.
Page 25 |
© 2012 MINDJUMPERS. All rights reserved.
26.
Repor3ng levels
Overall performance Business units on growth and performance Detailed cross brands on performance Local Market specific reporting Insight topic reporting Page 26 | © 2012 MINDJUMPERS. All rights reserved.
27.
Just Write on
our wall jum p e rs om/Mind bo ok.c Face ump ers @Mindj om/blog ers.c ind jump M Page 27 | © 2012 MINDJUMPERS. All rights reserved.
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