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Forrester and BESegal on Social Media Metrics That Matter
1. R ESOURCE L IST: S OCIAL
M EDIA A NALY TICS
With So Much Social Media Snake Oil How Do
You Make Informed Marketing Decisions?
Examples of analytic science that measures the
marketing-ef fect of social media.
T H E R ESOURCE L IST
RESOURCE The following pages contain the text and links to resources I posted in a
Discussion conducted beginning February 2011 in the Forrester Consumer
L IST: Intelligence Community on Forrester.com.
SOCIAL
MEDIA Since first posting them I’ve often been asked for the resources list in the course
A N A LY T I C S of conversations with clients about how to measure social media. Often they
find counting Twitter followers, or FB “Likes” or sentiment analysis has not
MARCH & helped them make the business and marketing decisions they need to make.
M AY 2011
Buried in data? Need actionable analytics?
To learn how Bruce and E●S●Q unlimited can help you achieve similar
results, call Bruce at 610-667-8188, or e-mail
BruceESegal@gmail.com.
Bruce E. Segal ● 610-667-8188 ● BruceESegal@gmail.com
2. Forrester Research Communities > Customer Intelligence > Discussions
1573 Views 4 Replies Latest reply: Mar 18, 2011 9:28 PM by Bruce Segal RSS Twitter Facebook Digg del.icio.us
Feb 16, 2011 8:25 AM 4
Social Media Metrics for CI
We've been talking about doing a refresh on our "Listening Metrics That Matter" report - which is now almost two years old
Zachariah
Hofer-Shall - and I'm trying to determine what metrics CI professionals use in their day-to-day activities.
10 posts since
Aug 6, 2009
What I'm wondering is that social media changes almost daily, but what about the basic metrics online conversation
creates? Has anyone had any success creating their own KPIs or social metrics? What key metrics do you collect?
Tags: metrics, social_media, analytics, measurement Like (1) Reply
Average User Rating 5 (2 ratings)
Feb 19, 2011 1:55 PM (in response to Zachariah Hofer-Shall)
Re: Social Media Metrics for CI
Zachariah: You hit a soap-box issue for me - social media science not social media bull shoes. I'm a newbie here so I'll try
not to cross any group etiquette.
Bruce Segal
2 posts since The metrics that are currently available - sentiment analysis, like counts, viral coefficients - are not the "Metrics That
Feb 19, 2011
Matter" to me. I find most of them to offer numbers that can inform my marketing decisions. The metrics that matter to me
are not easily available. They include:
1. The value of a referral via a social network site. (aka jargon a "social recommendation.") I'd use information like
EventBrite calcs to make online marketing mix decisions.
* See EventBrite's analysis that determined:
"one share on Facebook equals $2.52, a share on Twitter equals $0.43, a share on LinkedIn equals $0.90, and a
share through our ”email friends” application equals $2.34. On an aggregate level across Facebook, Twitter and
LinkedIn, and our email share tool, each share equals $1.78 in ticket sales. We’re seeing this number improve
every week with the most recent four-week average equaling $1.87."
* Blog post: http://blog.eventbrite.com/social-commerce
2. A social network analysis influencer score to append to each of my customers. According to Sonamine.com, "about
8-15% of population are influencers and each influencer can cause about 40 other people to purchase a product. Most
influencers are currently under the radar of most marketing departments."
* See http://www.sonamine.com/home/index.php?option=com_wordpress&p=428&Itemid=70
3. Separating the real influencers - "sociometric influencers" - from "self-reported opinion leaders."
* See Wharton's analysis that uncovered "Doctor 184." for Pharma co.'s, which is also attached here.
http://knowledge.wharton.upenn.edu/article.cfm?articleid=2170
4. The ability to predict revenue for a new product based on Tweets, as done in this analysis out of HP Labs and available
from Cornell's Computer Science Dep't.
* Abstract: http://arxiv.org/abs/1003.5699
* Pdf, which is also attached here: http://arxiv.org/pdf/1003.5699v1
* Fast Co. article: http://www.fastcompany.com/1604125/twitter-predicts-box-office-sales-better-than-anything-else
Attachments:
Twitter Predicts Box office success of Movies 1003.5699v1.pdf (243.3 K) Preview
Wharton SNA PharmaExpert Research2170.pdf (192.4 K) Preview
Edit Delete Like (3) Reply
Feb 22, 2011 6:33 AM (in response to Bruce Segal)
Re: Social Media Metrics for CI
Wow, Bruce - this is great! And thanks for the reading material.
Zachariah It's excellent to see these hard metrics come together at companies and am impressed with how well we can actually tie
Hofer-Shall social metrics to business data. Building custom metrics that tie directly to business goals is solid tactic for Customer
10 posts since
Aug 6, 2009
Intelligence, yet something I rarely see with social media.
My suspicion is that there are few companies out there with this kind of social measurement sophistication - but I'd love
to be proven wrong.
Like (0) Reply
Mar 16, 2011 8:25 AM (in response to Zachariah Hofer-Shall)
Re: Social Media Metrics for CI
We're still very much in the experimentation phase. I'm interested in seeing what others are measuring. We are looking
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