The
quest for better understanding of human emotions and behavioral triggers is a
long and evolving one. Back in the 1940s, Abraham Maslow introduced his seminal
Hierarchy of Needs, setting the stage for a deeper understanding
the relative importance of need states in human motivations. But in today’s world of big data, the impact
of social media and the overall evolving nature of societal mores, an update of
Maslow’s Hierarchy is sorely needed.
Enter
Bill Harvey and his research company, RMT, which analyzed
data from trillions of browser visits to websites by partner Semasio and
millions of tuning events on set top boxes by predecessor Next Century
Media to
arrive at a 21st Century version of Maslow’s hierarchy.
Motivator
Methodology
Using a sample base of 276 million
Americans, Semasio with guidance by RMT mapped a person’s online content
consumption tastes and captured keywords that were then appended to the content
consumed by a specific browser. The result is an individual word cloud around
each respondent which was then collected into 15 Motivational Type scores.
“For example,” explained Harvey, “a
specific person may be most strongly motivated by altruism and the pursuit of
self-knowledge, while another may be most motivated by heroism and leadership
and a third most motivated by the good life and power; Each unique individual having
a personal motivational mix of the 15 types.”
The 15 Motivational Types are:
1. Security - To
feel safe rather than insecure; to no longer feel fear.
2. Belonging- To
be part of a group, know that one is not alone in the world, to have support.
3. Achievement- A
sense of accomplishment, do something significant in one’s life.
4. Aspiration/Learning-Wanting
to know more, to reach a higher level of understanding.
5. Competency- Wanting
to be really good at something.
6. Fitness -Wanting
to have a strong and attractive, healthy body.
7. Status/Prestige-
Recognition from others, consensus validation of one’s own importance.
8. Wealth/Success-
Affluence, freedom to spend on whatever one wants, ignore others criticism.
9. Heroism/Leadership-Act
heroically anytime, to speak up and take responsibility for situations.
10. Experience/Sex/Good
Life/Hedonism/Epicureanism- Want interesting and fun experiences, have a good
time, enjoy the best of life, see the world.
11. Power- Being
able to control other people and situations to one’s liking.
12. Love- Wanting to
love someone and be loved by the same person.
13. Creativity- Be
creative, in arts, crafts, sciences, technologies, business, nonprofits, or any
field.
14. Self-Knowledge-
Know oneself, who you are deep inside, master of one’s mind and emotions.
15. Self-Transcendence/Service
to Humanity/Enlightenment/Spiritual Awakening/Nobility- Make a positive
difference in the world, to take care of other people.
In addition to the 15 Motivational Types, RMT further parses the
results down into 86 Need States and then into 265 DriverTagsTM, “which
are psychological attributes that include human values, character and
personality traits, emotional and mood states, human situations, and content
descriptors,” stated Harvey. These behavioral clusters adds further nuance to
the motivational clusters. The Need States and then the Motivational Types were
derived from the DriverTagsTM, which were derived from set top box
data, a census of psychological words, and machine learning.
Motivator
Applications
All of the data insights are privacy compliant while enabling
brands to adapt their messages for maximum relevancy to specific anonymous
individuals. “Because most of the 15 motivations are perennial higher human values
and ideals, the use of these insights in this way will tend to raise the
conversation level of brand communications to cover more of the most important
things in life, and less of the more trivial aspects,” Harvey noted and added,
“This inspirational and socially relevant flavor has already emerged as a trend
in the most successful recent advertising and branded content.”
Fadi Karam, Chief Marketing Officer of YUP, concurred, “When I was
VP Marketing at Nestle, people would come to me every day promising me better
media plans, but none of them ever asked to see my actual ads before
recommending media. When Bill Harvey came to me, he would not recommend media
until he could analyze my ads. This recognition that the ad and the media must
be looked at holistically, in retrospect, seems obvious, yet many of us are
still locked into the old ways, and think that the ads make no difference, the
same media campaign can be optimal for two brands whose ads are as different as
they could possibly be.”
The early RMT results helped
studios and networks develop new programs. But now with addressable
advertising, the ability to better curate resonant messages to viewer
households makes the 15 Motivational Types also invaluable to advertisers.
Turner, under the leadership of Howard Shimmel, was one of the first network
groups to seize the opportunity for their clients. Turner, Harvey explained, “proved
that when you placed ads in programs whose psychological attributes made the
commercials work better. Nielsen Catalina and 605 provided third party
validation that these context methods actually resulted in double digit lifts
in sales and branding effects and Simmons provided third party validation that
the DriverTagsTM added to the ability to predict adoption of each of
3830 brands in the Simmons questionnaire.”
Motivator
Next Steps
2020 will be a pivotal year for Semasio
and RMT. They plan on rolling out the 15 Motivational Types for use as targeting
variables for individual campaigns enabling agency and media DMPs to append the
psychological characteristics to a company’s own database.
“It’s interesting to me that our ‘meme-ology’ work has led us back
to something very similar to Maslow’s Hierarchy of Needs. Maslow used his own
self-reflection and studies of the lives of self-actualized individuals such as
Einstein to form his theory,” Harvey noted. But the path to the 15 Motivators was
a more data-driven, calculated process. “We
started with every word in the Oxford Unabridged Dictionary, found 13,000+
words of a psychological nature, reduced these by attitude scaling and factor
analysis to 1562 words, and then to 265 based on machine learning from the
personalized program recommender based on set top box viewing data. We then
created a semantic ladder up to 86 Need States and the 15 Motivation Types. The
15 types look a lot like Maslow’s 5 types, except that our 15 types are obviously
more granular, and we do not claim that every human being follows the same
sequence in development of personal motivations,” he added.
“Maslow’s work was more qualitative,” Harvey explained. “Ours is fully
quantitative and based on passive measurements. Yet we both came out in similar
places. The third party validations by Nielsen Catalina, 605, and Simmons show
that our system is not merely tautological, it actually predicts behavior,
which also reflects positively on Maslow’s visionary groundwork.”
This article first appeared in www.MediaVillage.com
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