Social Media and Nonprofits:  Measurement
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{Free eBook} - A Field Guide to the 4 Types of Content Marketing Metrics

{Free eBook} - A Field Guide to the 4 Types of Content Marketing Metrics | Social Media and Nonprofits:  Measurement | Scoop.it

Curated by Beth Kanter

http://www.bethkanter.org


There four different types of metrics to think about in terms of your content strategy:


Consumption Metrics
Sharing Metrics

Lead Generation Metrics

Sales Metrics


 This is an important reminder that a content strategy is not just about publishing, it is about getting to action.     Content helps achieve results! 


Consumption Metrics:  How many people viewed, downloaded, or listened to this piece of content?


Consumption helps you measure brand awareness and website traffic.   But, the e-book warns, don't stop here - ask the "to what end question."     Are you getting people to go from simply consuming to engaging?


The next level of engagement is whether your audience is sharing your content.   This is "resonance" -- if the topic is important to your audience they will be more likely to share with their networks.    The metrics include likes, shares, retweets, forwards, and inbound links.


The e-book identifies some tactics to boost sharing - from using sharing buttons to enhancing "social proofing."    Good quality content is worth sharing - is your content shareable?


The next category of metrics or action is "lead generation."   How often does content consumption result in some one giving you their contact information?    The metrics include form completions, downloads, email subscriptions blog subscriptions, blog comments, and conversion rates.    


These metrics are preludes to donations .. and can help you cultivate those people who opt into sharing their contact information.     But in order to best understand conversions, you need to use custom urls and landing pages and a tool like Google Analytics.   (Kevin Conroy from Global Giving provides some simple how tos in this post: http://www.bethkanter.org/sowhat/ )


The last category is sales metrics or in the case of nonprofits, donations.   Did we see income from this content?  Did someone make a donation, purchase a ticket, or provide support? 


In this category you have, online donations,  offline donations, and manual reporting and anecdotes.  The e-book also reminds not to forget metrics around customer or donor retention.


The book also offers some simple formulas for measuring the ROI of Content marketing.


The final advice: 

Content is the means, not the ends.  Frame your motivation with that in mind.    The goal isn't to be good at content, the goal is to get results."


Good infographic here: https://www.facebook.com/photo.php?fbid=10152178913420408&set=a.10150148714310408.395031.212577490407&type=1



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Visualizing Connections In Data & Analyzing Information

Visualizing Connections In Data & Analyzing Information | Social Media and Nonprofits:  Measurement | Scoop.it

For many data visualization projects, information comes from a source that has already done some aggregation. This is both a blessing and a curse. Aggregation definitely simplifies the analysis and visualization process, but it can also greatly reduce the visualization and analysis options. This is because aggregation often destroys connections in data. For this reason, it's critical to have an in-depth and thorough knowledge and understanding of the information from aggregated information. There are several different visualization techniques that open up once we have the original data, such as Euler diagrams and parallel sets.


The extra information that can be obtained from visualizations is important to gaining a full understanding of the data, and it can lead to a much more interesting story, as well as far better visualizations and more accurate connections and links within those visualizations.

So, when gathering data about something, remember to dig deeper into it, as there are many important connections that happen within data that can provide knowledge beyond just a simple average or total.


To learn more about the value of these connections, sourcing accurate data, and how it is transformed into useful graphics, read the complete article and check out the case study used to convey the main points outlined above...


Via Lauren Moss
kurakura's comment, November 15, 2012 5:17 AM
the last graph on that page is really useful for understanding the data?