(Broadest) Demographics, Psychological Traits
Activities, Interests, Opinions
Evaluation of Product Benefits
Product or Brand Preferences
(Most Specific) Intent to Purchase
Marketers can make the most impact by connecting consumers' activities, interests, and opinions and evaluation of product benefit.
What happens statistically? Marketers want high level of statistical correlation in predicting purchase.
· Best predictor: Intent to purchase
· Worst predictor: Demographics/psychographics (very broad)
o Different points of ground differentiation go away.
o Less interested in predicting any given purchase for a product.
· In truth, most brands’ marketing strategy falls in the middle of the above chart… not too broad and not too specific.
Dividing people by demographics: Marketers can make inferences based on this, but the data can be misleading. For example, can you make inferences based on these information?
37 years old
Caucasian
$100,000 household income
Married
Graduated college
Professional career (manager)
Dividing people by behaviors: Are Bob and Bill in the same segment? They both:
Work out
Own a cell phone
Go on vacation
Spend similar amounts of discretionary income
Interested in the news
Dividing people by behavior AND motivation: motivation differs between people. Take for example Bob and Bill:
Bob:
Works out to stay healthy
Bill:
Works out to look good
Bob:
Owns cell phone for emergencies
Bill:
Owns cell phone for productivity
Bob:
Goes on vacation to learn about different cultures
Bill:
Goes on vacation to relax with family
Bob:
Spends after careful research
Bill:
Spends based on recommendations
Bob:
Reads the New York Times
Bill:
Catches CNN headline news (while shaving)
Takeaway:
· Within each layer of information hides interesting, important information
· Companies that assume people fall within the same category will most likely fail at reaching their target audiences
· People (different demographics/psychographics) are motivated by different reasons.
· Often times people don’t know why they do different things, which creates a hurdle for researchers
o Hard to identify causes of action
o Solution: researchers are forced to infer why people do things. For example, people who buy toothpaste with no fluoride must have some health concerns. Inferences are not always accurate, and it could be hard to make them at times.
· “Things people do are access point to their thoughts” – David Sleeth-Keppler