Fisheye Analytics reignites the debate around AVE

Posted by Vikki Chowney
on 9th March 2010
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measureTapeFisheye Analytics has recently thrown its hat into the online monitoring ring with a new formula for calculating advertising equivalency (AVE). For a long time, this was the de facto method of measuring and assigning monetary value to PR coverage. However, figures are often inflated and based on flawed metrics, which has led many agencies to discover that there’s much more to measurement – especially when you’re talking about online activity.

Once upon a time, software-based sentiment analysis was the new kid on the block for online monitoring companies, which for a while separated a few agencies from the pack. Whether this was a good thing or not is a different story altogether, as people quickly worked out that no technology could accurately tell the difference between the intricate nuances of the human language.

This new concept from Fisheye – which provides both monitoring and brand analysis – takes sentiment, editorial credibility of the source, overlap of media audiences and repeated mentions in a single source on the same day into consideration.

Founded around research from the INSEAD business school in 2008, its clients include the World Economic Forum, Axa Insurance and Nikon (who all add a level of credibility to the company’s work). However, the scope of its coverage seems exhaustive, with online, traditional, print and television media all included. For the most part, companies that proclaim to provide this breadth of monitoring are either terribly expensive – or tend to miss things.

Cynicism aside, as part of the push for the new service, Fisheye carried out some analysis around the value of various Olympic athletes. The company calculated the amount of online news and social media coverage received by all the gold medal winners between February 12th and March 1st 2010, then quantified this  in terms of its average daily online reach (based on unique views for over 20,000 news sources). As well as the total marketing value of that audience, calculated using a proprietary algorithm that looks at online advertising rates, sentiment of the article and credibility of the source.

vonn-si-cover_feb-8-2010Unsurprisingly, American skier Lindsey Vonn is by far the most valuable brand online generating nearly $65 million of online coverage during Vancouver 2010 according to this method. Her image as a sex symbol, for example, has helped boost coverage of her online. 13.5% of mentions during this period referenced either her sex appeal or her appearance on Sport’s Illustrated’s Olympic preview cover (pictured left) and annual swimsuit edition, both published just before the Vancouver games.

It’s a far more comprehensive method of assigning value to online coverage, and if you had to, this is probably a good formula to use. However, of the 20,000 new sources that Fisheye tracks – what if you’re best customers are reading something else? Articles may appear in media that don’t reach a client’s target audience or which, while generally positive, may not contain the client’s key messages. As such, they do not contribute to achieving a client’s objectives. Conversely, articles that are negative may not necessarily be strategically significant.

Monitoring is definitely evolving, and this new formula from Fisheye shouldn’t be sniffed at – but it’s not the be all and end all. It’s too easy to rely on a service like this to provide a nice big figure at the end of a campaign and be done with it, but there has to be more to it – a link to sales objectives, traffic to a brand’s site or even an improvement of customer service.

Recent comments
  • Interesting article, and some great questions asked. You touch on sentiment analysis, and the fact that even if you found a way to measure this perfectly, two articles given the same sentiment score could have different chances of affecting people's decisions. In the same way, one consumer's non-credible source could be another consumer's best friend.

    Another way to look at these datasets would be to include sites outside the top 20000 and segment the people by location, interests, paid/unpaid etc. You could then benchmark how much of each of your target sectors your client has reached compared to their competitors. The key to Lindsey Vonn's success might then be shown to be the non-sports media and non-sports fans that were mentioning her and not mentioning anyone else. Armed with the touch-points important to these audiences you could recommend good strategies to London 2012 athletes looking for coverage and sponsorship.

  • gedcarroll

    Facinating approach and great powerpoint fodder but how does that measurement map on to client objectives? AVE measures noise created rather than client business objectives achieved or assisted.

  • Whatever your views on AVE in media metrics, it's always going to be there in some form or another. It's good to see a refreshing take on the measurement - and one that makes it a little bit, yes a little, more plausible. Still more work to be done though as other measurements provide a greater insight into a media campaign.

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