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SEGMENTATION, TARGETING, AND POSITIONING

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Presentation on theme: "SEGMENTATION, TARGETING, AND POSITIONING"— Presentation transcript:

1 SEGMENTATION, TARGETING, AND POSITIONING
Product positioning strategy Bases for segmentation Positioning Targeting Repositioning

2 SEGMENTATION, TARGETING, AND POSITIONING
IDENTIFYING MEANINGFULLY DIFFERENT GROUPS OF CUSTOMERS TARGETING SELECTING WHICH SEGMENT(S) TO SERVE PROUDCT PRICE POSITIONING IMPLEMENTING CHOSEN IMAGE AND APPEAL TO CHOSEN SEGMENT PROMOTION DISTRIBUTION

3 LEARNING OBJECTIVES Identify different unique needs and expectations of different customer groups Identify tradeoffs among strategies of serving different segments Identify methods for selecting and targeting customer groups Identify bases for implementing target selection through positioning

4 DEFINITIONS Segmentation:
“Aggregating prospective buyers into groups that (1) have common needs and (2) will respond similarly to a marketing action.” “The process of dividing a market into meaningful, relatively similar, and identifiable segments or groups.” (Text, p. 97) Although not all these consumers are completely alike, they share relatively similar needs and wants. Marketing action involves: efforts, resources, and decisions--product, distribution, promotion, and price.

5 SEGMENTS--EXAMPLES (1)
Air Travel Business/Executive: Inflexible; relatively price insensitive (Small number of people, but travel often) Leisure Traveler/Student: Relatively flexible; very price sensitive (other methods of travel--e.g., bus, car, train--are feasible; travel may not be essential) (Very large segment) Comfort Travelers: Comfort (e.g., space, food) important; willing to pay (Small segment)

6 SPECIFYING SEGMENTS Variables involve descriptors such as age, gender, income, price sensitivity, brand loyalty, geographic location, usage rate, and involvement Levels involve the different categories within each variable. For example, for age, levels might be 0-20, 21-30, 31-40, 41-55, 56-65, and 66+; for gender, male, female; for geographic location, Northeast, Southeast, Midwest, Southwest, West or urban, rural. Segments are obtained by “crossing” the combinations—e.g., crossing gender (male, female) with brand loyalty (high, medium, low) gives six combinations (e.g., male, high; female, high; … male, medium; … female, low).

7 BASES FOR SEGMENTATION
Geographic Demographic Psychographic Benefit Desired Usage Rate Scanner data based approaches

8 GEOGRAPHIC Regional differences Micro-segmentation
Climate and physical environment Tastes Campbell’s Soup Lifestyle and values Urban vs. rural areas Micro-segmentation Adaptation of retail store assortment to the specific area based on: Residential demographics Other characteristics (e.g., vicinity of a beach) May be largely data-driven based on past sales (scanner data)

9 DEMOGRAPHICS Age Gender
Income—not generally a reliable predictor (willingness to spend is more useful) Income ≠ willingness to spend! Ethnicity Family lifecycle stage

10 INCOME AND PRICE SENSITIVITY
Income and wealth are NOT reliable predictors of price sensitivity. In order to be able to buy certain high priced items, a certain level of income or wealth is a necessary, but not sufficient, condition. A book titled The Millionaire Next Door provides strong evidence that many wealthy people have developed wealth through frugality rather than high incomes. Wealthier individuals will NOT necessarily choose higher priced options. Therefore, segmenting on price sensitivity rather than income or wealth makes more sense.

11 THE WARC DATABASE: DEMOGRAPHICS AND CONSUMER BEHAVIOR

12 PSYCHOGRAPHICS Personality Motives Lifestyle Very difficult to measure
Limited empirical support Motives Lifestyle Usually more practical than personality

13 USAGE RATE “80/20” rule—20% of consumers may account for 80% of consumption (in many product categories) Note that larger consumption rate segments may be subject to heavy competition Reasons for targeting smaller segments Reduced competition Opportunity for growth

14 SCANNER DATA BASED METHODS OF SEGMENTATION
Price responsiveness Price sensitivity (impact of current price on the likelihood of purchase and/or quantity purchased). The brand elasticity is greater than the product category elasticity. Deal proneness (propensity to switch to a non-preferred brand when such a competing brand price promotes through sales, coupons, or other form of discount). [This is one form of limited brand loyalty] Purchase acceleration (“stocking up” when an item is on deal—sale and/or coupon) Non-price based brand switching Variety seeking [Another form of limited brand loyalty] Accommodation of preferences of different household members Shopping practices Purchase frequency (within product category) (as distinct from price responsiveness measures listed above) Package size preference Store and/or retail chain loyalty

15 BENEFITS SOUGHT Based on
Differences in arbitrary tastes (e.g., cola vs. non-cola drink) Ideal point Tradeoffs (e.g., taste vs. calories) Usage situation (e.g., coffee for camping (instant) vs. higher quality for home brewing)

16 TARGETING: SELECTING SEGMENT(S) AND SPECIALIZING
“You can’t be all things to all people” ---> choose one or more groups. Focus narrows scope of competition, but demands are greater.

17 IDENTIFYING TARGETS Customer information “enhancement”—information from different sources integrated (e.g., real estate records, purchase lists, magazine subscription, credit records) “Merge-purge” Customer lists from different sources are combined with removal of duplicates

18 LISTS OF BUYERS FROM ONLINE/CATALOG MERCAHNTS MERGE PROCESS
MAGAZINE SUBSCRIPTIONS NAMES AND ADDRESSES FROM ALL SOURCES USED SURFER DUDE SURFER’S SUPPLY SURFER CHICK SURF CITY EXTREME SURFING REMOVE DUPLICATES SURFGEAR CALIFORNIA SURFER GENERAL LISTS (E.G., PHONE BOOK LISTINGS) ORGANIZATION MEMBERSHIPS NON-REDUNDANT FINAL LIST SORORITY SURFERS OF AMERICA SELECT RESIDENCES W/IN 2 BLOCKS OF BEACH CALIFORNIA SURFERS’ ASSOC. PURGE PROCESS GEORGIA SURFER SOCIETY

19 SEGMENTATION, TARGETING, AND POSITIONING
PROUDCT PRICE PREMIUM PREMIUM POSITIONING IMPLEMENTING CHOSEN IMAGE AND APPEAL TO CHOSEN SEGMENT LOW PRICE BASIC VALUE DURABLE DISTRIBUTION PROMOTION INTENSIVE PRESTIGE SELECTIVE FUN EXCLUSIVE POWERFUL

20 REPOSITIONING Repositioning: Changing established position may be difficult -- e.g., Sears McDonald Good sales; poor everyday values Lunch; not dinner Good for children

21 MULTIDIMENSIONAL SCALING
Consumer product perception is identified along two or more “dimensions” Methods: A priori specification of dimensions  respondents make judgments Respondent rating of relative similarity of brands/product categories  statistical model identifies unnamed dimensions  dimensions are inferred from characteristics of items at different points

22

23 HIGH Hershey’s Toblerone Dove Milk Chocolate Ritter Mr. Goodbar M&M HIGH LOW Snickers Almond Joy Kitkat Mars Reese’s York Smores Heath Butterfinger Twix LOW Milky Way

24 SIMILARITY RATINGS 7 5 6 3 2 Snickers M&M Almond Joy Mr. Goodbar
1=“Not at all similar” =“Extremely Similar” Logically, all candy bars are “extremely similar” to themselves. The shaded regions are redundant—only the order is varied.


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