Segmentation and Targeting
Overview
Disaggregating customer markets, selecting the best option, and positioning for success.
Presented by:
Larry Vincent,
Professor of the Practice
of Marketing
Presented to:
GSBA 509
September 15, 2026
Starbucks
Customer challenges brewing
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While waiting for his order, Mr. Tutunjian watches impatiently as baristas whip up Iced Brown Sugar Oatmilk Shaken Espressos or other foamy, iced, caramel-topped drinks for drive-through or mobile-app orders. Minutes tick by before he is finally handed his coffee (dark-roast coffee with a shot of espresso).
Green Apron Project
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- $500M investment in additional labor hours - increased staffing, larger rosters, better peak coverage
- SmartQ technology - advanced ordering sequencing algorithm for consistent, timely service across all channels (cafe, mobile, drive-thru)
- “Five Key Moments” focused on craft and connection - personal touches, barista ownership, customer relationships
- More store-level ownership and coffeehouse walks to ensure quality
Store Visits
What job do you hire Starbucks to do?
Same Product. Different Jobs for Different Customers.
Source: Sunil Gupta, “Segmentation and Targeting,” HBS 2019.
Why segmentation?
- Tailor offerings to specific customers
- Focus marketing resources more efficiently
Segmentation Goal
Transform a heterogeneous population of customers into more homogeneous sub-groupings with similar needs.
What makes a good segmentation?
- Measurable
- Accessible
- Substantial
- Differentiable
- Actionable
Dog Food
Source: Sunil Gupta, “Segmentation and Targeting,” HBS 2019.
Behavioral segmentation: dividing customers by behavior with the firm.
Another angle
Behavioral metrics
- User status–new/first-time user, returning user, potential user, regular, etc.
- Usage rate–light, medium, heavy, extreme
- Buyer readiness–unaware, informed, interested, intender, etc.
- Loyalty status–multi-brand, monogamouos, variety-seeker, etc.
- Occasions–personal vs. business, seasonality, etc.
- Social behavior–refers customers, promotes products, generates ideas for offerings, etc.
The most common behavioral metrics
- Recency–How long has it been since the customer last transacted with the firm?
- Frequency–How often does the customer transact with the firm?
- Monetary Value–how much profit has the customer generated in their lifetime with the firm?
Considerations
- Number of customers in segment vs. economic potential
- Ability to reach segments and cost of doing so
- Intensity of competition within segment
- Satisfaction
- Forecasted growth
- Barriers to entry
What would be the most optimal segmentation for Starbucks?