Archive for the ‘blog measurement’ Category

For the purposes of this blog post, when I refer to a ‘post‘, I am referring to a datum of social media.  This can include a blog post, discussion forum, video, picture, etc.  When I refer to ‘sharing a post‘, I am referring to a post being bookmarked, voted, linked, tweeted (or re-tweeted), commented, etc.

If a post is not shared, does it have value? What impact does an opinion that is never heard carry in social media?  Very little.  All too often I find people sifting through endless blog posts and tweets with little prioritization.  This is an expensive and time-consuming task.

When a post is shared, we can calculate the level of engagement or conversation by looking at various metrics including: comments, links, bookmarks, tweets, and votes.  Metrics can be weighted based on the the subjective value and the audience participation with the metric.  For example, someone may weight commenting over bookmarking since they feel the act of commenting requires more work by the reader and demonstrates interest in the subject.  Sharing that crosses various forms of social media would get a boost factor.  For example, a tweet that appeared in a blog, a video that was linked to in a forum, or a comment that referenced picture.

Conversations may lie dormant for months before they hit the social stream.  With this engagement or conversation metric, community managers can easily sort the coverage, triage the issues, and respond to the most valuable conversations in an efficient and expeditious manner.

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Today we’re announcing the latest addition to our social media analysis capabilities: MediaSignal™ for blogs. It’s a significant development that enhances our customers’ ability to tap into the blogosphere for insight and information.

At Biz360, one of the guiding principles of our product development process involves taking a pragmatic approach to fulfilling our customers’ needs. In this case, there’s a clear need for marketing and PR professionals to be able to measure the relative impact of blogs—from the top professional blogs to the fringes of the long tail—and to be able to make direct comparisons to traditional media coverage. Because here is no definitive standard for blog impact measurement, we saw the need to come up with something new.

Most of the current methodologies for measuring blog impact involve either estimating site traffic or counting inbound links from other blogs. Limitations of these methods include:

• With a list of blogs ranked by their overall authority or influence, it’s impossible to know which blogs have the most impact in a given market—is it the highly-ranked blog that occasionally writes about the market, or the lower-ranked blog that covers it incessantly?
• Links from mainstream media provide an interesting view into which blogs are influencing traditional media, but they typically aren’t counted.
• The impact of the “linkerâ€? typically isn’t accounted for, even though a link from a top-tier blog implies more impact than a link from a less popular blog.
• The impact of the reader typically isn’t taken into account. PerezHilton receives more traffic than Engadget, but the topics over which they have influence differ greatly.
• Today’s site traffic panels are too small to estimate visitors to low-traffic sites in a statistically valid manner.

After a great deal of experimentation and testing, we settled on a methodology that provides a new estimate of reach that incorporates traffic estimates, linking patterns from blogs, and linking patterns from mainstream media. Our link analysis produces particularly interesting results, employing a technique that enables us to estimate not only the number of sources linking to a given blog, but also the impact of the sources.

The benefit of the detailed link analysis can be seen in the table below. Over a 3-month period last year, Jeff Jarvis’ BuzzMachine and Heather Armstrong’s Dooce received incoming links from similar numbers of sources. However, the sources linking to BuzzMachine received more than twice as many distinct links as the sources linking to Dooce, implying greater impact.

• Apples-to-apples comparisons. With MediaSignal, we have a single measure of brands, trends and issues across both traditional and social media.
• More relevant reach. Because our source rankings incorporate each source’s reach as well as its topical relevance, we are able to product a customized list of which publications and blogs matter most to each of our clients.
• More accurate reach. Our calculation of MediaSignal for blogs involves large-scale link analysis, calibrated by audience estimates to provide an understandable metric than pure visitors or pure link metrics.
• Tone impact. By factoring MediaSignal into the negative, neutral and positive impression counts we derive through our Point-of-View Sentiment engine, we’re able to weight our tone ratings by impact.
• Improved spam filtering. Thanks to the link-source impact analysis, we were able to identify and weed out many splogs that received many links but only from other splogs in the same farm.