"It is not possible to develop marketing strategies for every consumer-
the smart marketer attempts to identify groups of consumers with similar
needs and preferences needs and that respond similarly to marketing
actions". Segmentation is indispensable for Micro-Marketing Strategies.

Generic Segmentation Strategy
-
Segment market into meaningful and measurable segments
based on needs, behavior or demographics
-
Evaluate Segment profitability using simple
Cost-Benefit analysis (cost of servicing segment vs. Revenue potential)
-
Allocate marketing resources for each segment based on
profitability and Target segments using multiple marketing tactics
-
Customize product or service s portfolio to align with
needs of each target segment
-
Evaluate segment and overall performance and growth and
realign above steps accordingly
Segmentation has many objectives and purposes. For
Product Development and Innovation, segmentation allows identification of
differences in customer preferences that can be leveraged to enhance
customer experience. For Marketing, segmentation allows the identification
of differences in purchase behavior of large subgroups of customers that can
be targeted separately to enhance response. It also allows the
identification of the most profitable customers and their characteristics.
This information can be utilized in acquiring more of this profitable
subset. For Risk Management, segmentation is utilized to identify subsets of
customer population that have a riskier profile and a heightened risk of
default (for financial Services products).
Types of Segmentation Strategies
-
Geographic Segmentation: Instead of treating the overall geographic
market area as one integral whole, delineate into markets based on
consumer differences, supply chain and distribution factors and
consumption patterns. This is the most common type of segmentation almost
all firms engage in because it is the easiest to implement. The drawback
is that it assumes that consumers are homogenous within a geographic
segment, you just need to find the appropriate delineation. This is not
neccessarily true, as geographic mobility increases and with increasing
urbanization and proliferation of online retailing, there may not be such
a thing as a geographic segment.
-
Value or Price Based Segmentation: This segmentation strategy tries
to identify consumer groups based on buying power. This is most common
while developing product portfolio- firms try to fine tune products and
services based on differences in buying power of target market. This is
more common in automotive and durable goods sector.
-
Demographic Segmentation: This is also another popular segmentation
strategy, where differences in demographics are leveraged to develop
products and services and marketing strategies leveraging demographic
differences within target market. For instance Baby Boomer, Gen X, Gen Y
are all Demographic segmentation strategies
-
Psychographic Segmentation: Psychographic or Lifestyle segmentation
leverages consumer attitudes, behaviors, values and beliefs to cluster
into groups based on commonalities. This is becoming more and more
important with the proliferation of social networks (online and offline)
and media diversity. Consumers are increasingly being polarized into
different belief networks that influence not only their lifestyles but
also consumption behavior. The critical requirement to execute an
effective Psychographic segmentation strategy is the collection of
representative data through appropriate surveys and focus groups using an
acceptable sample size.
To Segment or Not To Segment?
Market segmentation allows managers to better serve the
needs of a diverse consumer population, but a segmented market can also
very quickly become a 'fragmented' market. How far should you go in
segmenting your consumer market?
Managers need to determine:
-
If the target segment is big enough
to support customized strategies.
-
Are there sufficient resources to
pursue individual segments and does the estimated return justify the
outlay?
-
How can the segment be reached with
a Marketing program?
There are different sophisticated statistical methods
of segmentation, for Product Development and Marketing, Classification &
regression Trees and Cluster Analysis are more popular. For Risk Management,
CHAID Analysis (Chi Square Automatic Interaction Detection) is more the
industry standard. Data for segmentation consists of customer-level
cross-sectional data (Age, Income, Family Size, Marital Status, Number of
Children, Zip Code etc. This data can be obtained from Customer Databases if
one has been maintained, or from data vendors like Claritas or Acxiom and governmental
Agencies like the Census Bureau.