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Building of an Effective Segmentation Model
To build an effective segmentation model, it is important to answer several questions related to potential clients and investors. Which distinct groups of customers and investors can be defined based on their specific features? What are the needs of each customer or investor group? What are the media consumption habits (magazines, websites, or TV) of each group?
Geographic, demographic, and behavioral data might be needed for the proper segmentation of target populations. Geographic data contains the locations of potential clients and investors, which can be used to optimize the companys market presence. Demographics are related to the industry, financials, business models, and products of investment clients. Behavioral data includes classifications based on values, goals, knowledge, lifestyle, and potential investors and clients demands.
Segmentation of potential investors and clients would allow the firm to satisfy the needs of specific segments and increase customer profitability and investment potential by offering appropriate products and services. Moreover, segmentation is crucial for the effective distribution of limited marketing and financial resources of the company.
People in America share common features in terms of values and lifestyle, so target populations can be defined based on their demographic and behavioral characteristics. Most Americans are purpose-driven and seek value for money, so they prefer a simple, straightforward business approach. Living in a capitalist economy, Americans tend to spend a significant amount of income on material goods to support their lifestyle. The diversity of the American population requires culturally-targeted marketing strategies responding to the needs of multicultural consumers. It is important to acknowledge such peculiarities because they facilitate segmentation and contribute to the effectiveness of targeted marketing.
While developing a new segmentation model, I would consider similarities such as lifestyle, values, and spending patterns, and media consumption habits. I would also be interested in demographical and financial differences, including ethnic and cultural background, education, and income, as they impact the direction of targeted marketing.
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