The media and communications planning industries are still trying to define what engagement really is. Several models have been proposed - and binned. But there remains to be a gaping hole with regard to how engagement should be measured and 'operationalized' and therefore, included in media and communications plans.
I believe that we're jumping the gun - and mostly, this is the fault of quants like me, who believe that unless it is measured and represented by a number, it doesn't exist and therefore cannot be managed.
I still believe in that proposition, to be honest - that unless something is being measured in the most theoretically sound way possible, then it cannot be considered to be of significance and therefore difficult - if not impossible - to manage.
But I digress.
The main point is that before we even jump into defining HOW to measure engagement, we need to know WHAT engagement is and WHAT it is not. This is not entirely original thinking. I believe that Erwin Ephron wrote about this need in his site.
But as with all research projects and measurement projects, we need to know what exactly are we measuring and what exactly are we NOT measuring. Is engagement about attention? Is engagement engagement about liking? Is engagement about eliciting a response - an overt, behavioral response that can be observed? Is engagement a result of a communications campaign - or is it a variable inside the communications campaign that needs to be manipulated? If I am engaged, does that mean I will buy a certain brand?
The Role of Qualitative Research
Some agencies are beginning to look at "what differentiates certain groups of people" rather than "what makes them alike". I think this is a very good step. The acknowledgment of the differences across consumers and audiences is an important first step.
However, this trend is also seen as a move towards qualitative research methodologies - such as group discussions, ethnography and ethnology (which have become the flavors of the month of the research world), and in-depth interviews.
There is a role for qualitative research - and there is a role for quantitative research in the search for the elusive Engagement Metric.
Solely relying on qualitative research - however exotic and esoteric the methodology might be - is simply not sufficient to define engagement, I believe.
Qualitative research allows us to form initial hypotheses - and perhaps, this is the first step in that it will point us to the creation of frameworks on what engagement is and is not.
Quantitative research, however, needs to be a part of the search for engagement as well.
Deep-dive Quantitative Research
Media companies are number crunchers - I should know, I came from one.. However, as it is, there are a lot of limitations with how we use numbers. We always stop at the macro level:
- We report ratings - and we stop there.
- We report past-week percentages of exposures - and we stop there.
- We report the percent of people who agree or disagree with a statement - and we stop there.
- We report the percent of people who buy or do not intend to buy - and we stop there.
I honestly believe that we are not really looking at the numbers more deeply - and we are content with the macro, "percentage" views.
Data is data is data. And there is no dearth of data these days.
What we need as we search for that elusive engagement metric is look at existing data that we already have: Can we still squeeze something out of the data? Can we go down to the respondent-level and identify trends?
PCs and technologies now allow us to run simulations and calculations that used to be difficult and computationally-inefficient. Why are we not using technologies such as Hierarchical Bayes Regression - or other hierarchical models? Why are we not using genetic algorithms, cell automata-based simulation, and other simulation software? Why are we not looking at individual-level data in our analysis of data?
All these have been made possible with technological advancements in the field of computation: Why are media planning companies not using them?
We need to move... now!
Things are changing radically amongst our audiences - models of advertising and communications effects are quickly being revised by new technologies being made available to our audiences.
Why are we still stuck with GRPs, impressions, reach and frequency, and OTS? Is it because that's what we're used to? Is it simply a fear of the unknown?
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