Jim Macnamara’s Measuring Up
Public relations measurement and social media measurement tools and services are a bit like beauty creams. They make bold claims to bring us admiration, perfect relationships, and even eternal youth and fame, but they are largely pseudo-scientific mumbo-jumbo and fail to deliver what they promise.
It seems that every day a new measurement tool or service arrives in the marketplace with much fanfare and a promise that it will provide the ultimate metric which will ensure us of the enduring gratitude of management and a competitive edge over our peers. Often these products and services are described with new buzzwords and some are hidden in a “black box” of software or the internal systems of service providers – a little bit like “anti-oxidant cream with hypotrichloride, X-enzyme, and diocryptin.”

A feature of ethical research is transparency and disclosure of the methodology used. This principle does clash with commercial requirements to protect IP. But researchers should at least divulge the broad outline and key steps of their methodology. If they don’t, they’re probably applying beauty cream to your communication campaigns.
Apart from the term “buzz” itself – which is an ill-defined and imprecise notion – some of the key buzzwords deployed in measurement are sentiment, engagement, impact, and influence. These are fine – if what is being measured is what it purports to be. However, a review of PR measurement marketing materials shows that many of these terms are used inappropriately and measure the wrong thing, or misrepresent what they actually measure.
Getting sentimental about sentiment
For instance, sentiment is defined in Webster’s Online Dictionary as “thought prompted by passion or feeling; a state of mind; feeling toward some person or thing; disposition prompting action or expression.” In simple terms, sentiment is an emotional or cognitive response in people’s heads. Therefore, it cannot be measured from a page of text using content analysis – and certainly not by automated machine measurement. Yet, frequently we are told that certain software systems and content analysis services measure sentiment.
“It’s bollocks,” as the British say.
Sentiment is human feelings – quite a different thing from the tone of media content. We have to measure what we say we are measuring, and then use the right method.
Celebrating engagement
Another key term that is used and abused is “engagement.” The difficulty with engagement is that it covers a wide range of responses, from the most basic human motor functions through a number of psychological levels such as involvement and elaboration, to various behaviours. These also span a wide range from simple actions such as clicking a mouse to becoming an evangelist for a product or cause.
Some measurement systems and services count click-throughs as engagement. In a very minor way, people clicking on a page or image is engagement. But they may hate it when they get there. Other measurement approaches count any form of response as engagement – such as commenting, rating, or entering contact details. But if the comment made or the rating given is negative, or contact details are given in order to complain, this is hardly a desirable form of engagement.

Serious social researchers know that qualitative information is very important; quantitative data only tells part of the story. Also they know that higher levels of engagement are important, rather than measures of how many people clicked on your site and then went to have a coffee and forgot about it. Higher levels of engagement that tell us much more than clicks, views, or even downloads include positive comments, ratings, and reviews, recommendations, requests for more information, subscribing, trialling, and so on. Measurement should clearly identify what type of engagement is evaluated and focus higher up the cognitive and behavioural engagement scale.
The big Is of measurement – Impact and Influence
Impact and influence are in the Miss World league of measurement – the ultimate prize to claim in the PR beauty stakes. So they are among the hottest buzzwords around the measurement world. Like sentiment, impact and influence can be affective (i.e., emotional). However, importantly, impact and influence go beyond sentiment in that they can be cognitive or behavioural change caused among people – ideally the ones you want to impact and influence.
But most forms and elements of impact and influence exist in people’s minds. Even when behaviour occurs, proof of causation (whether your communication caused the behaviour or whether it was a result of something else) requires investigation of affective and/or cognitive processes. These processes, and therefore outcomes such as impact and influence, cannot be measured by counting, scaling, scoring media texts, or crunching Web analytics. Yet some measurement tools and services claim to demonstrate impact and/or influence by making large leaps in logic from basic quantitative data such as volumes of clicks, clusters on social network maps, or low-level audience engagement. While key hubs and nodes in networks and audience engagement can give useful indicators of potential influence, they are what they are.
As one social researcher bluntly says:
“If you wanna know what people are thinking and feeling, you gotta get off your butt and your computer and go out and ask them.”
This leads to one of the great ironies of PR measurement. Thousands of practitioners are looking for solutions and hundreds of service and product providers are engaged in trying to develop the “next big thing.” Yet a suite of proven social science research methods have existed and been used productively for more than a century. Interviews, focus groups, surveys, and ethnography are well-established, reliable, and insightful research methods that are passed over by many practitioners in their techno-fetishism to find a new PR metric that measures everything (ideally with positive results).
That is not to say that innovation is not important. New developments in research such as netnography build on the foundations of ethnography (observation of behaviour) by adding online behavioural tracking. E-surveys make audience research easier, faster, and lower cost. Web 2.0 media offer many opportunities for listening, not just talking. Tracking and evaluating what people are thinking, feeling, saying, and doing is available for free every day if we listen. Web analytics do productively contribute to the stock of quantitative data for tracking audience reactions in the “blind spot” between distribution of outputs and outcomes. And content analysis, including some automated functions, helps us understand the vast amount of information that exists and continues to grow.
So computers and clever algorithms have an important role. But they are tools we use to help us understand human behaviour – and only that. No single metric or simplistic measure that purports to demonstrate sentiment, engagement, impact, or influence can explain human emotions, cognition, or behaviour.

Similar caution needs to be applied in examining other metrics in the PR measurement space such as media score, weighted media score, media index, and similar buzzwords. With many, you may as well multiply column inches of media coverage by your weight and divide by your age and call it your personal “PR power.”
I’ve tried lots of beauty creams in my time – and none of them worked.
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Jim Macnamara, PhD, FPRIA, FAMI, CPM, FAMEC became Professor of Public Communication at the University of Technology Sydney in 2007 after a 30-year career working in journalism, public relations and media research which culminated in selling the CARMA Asia Pacific franchise which he founded to Media Monitors in 2006. He is the author of 12 books including The 21st Century Media (R)evolution: Emergent Communication Practices published by Peter Lang, New York in 2010.