What is Customer Satisfaction ?
February 12, 2025
You’ve got your business up and running. There’s just a problem. You’re not bringing in enough money. This is a guide for Business-to-Business (B2B) marketing in 2024 and beyond to help you do just that – and perhaps, along the way, refine and smooth out ambiguities in your business offering too. While marketing tools and […]
Regression analysis can be used to find out the relation between a set of variables statistically. This is done by identifying a curve or line that best fits the variables provided. Regression analysis is widely used in marketing research for trend analysis and for making predictions. In this article, we will be explaining simple linear […]
Drivers of Corporate Strategy Any choice of strategic options must necessarily be in tune with the drivers of corporate strategy. For the purposes of this article, 5 drivers of corporate strategy have been identified. They are: The growth imperative or the need to grow Consistency with the firm’s internal strengths and resources Being geared towards […]
Scheduling directly refers to the patterns of time in which the advertisement is going to run. It helps fixing up the time slots according to the advertiser so that the message to be delivered will reach target audience in a proper way with proper timings. There are basically three models of advertising scheduling as follows: […]
Projective Techniques are indirect and unstructured methods of investigation which have been developed by the psychologists and use projection of respondents for inferring about underline motives, urges or intentions which cannot be secure through direct questioning as the respondent either resists to reveal them or is unable to figure out himself. These techniques are useful […]
Customer modeling is the process of predicting and forecasting behavioral aspects of customers’ future perspectives. The process includes identification of marketing and campaigning targets and optimizing predictive analysis. Following are the broadly discussed aspects of customer modeling:
The approach is to divide the customers into modules or sub groups and then assign probability of response to each sub group. Marketing professional and decision making personals then decide the exact number of customers to be included in that particular promotion or program.
Modeling techniques are used to predict life time value of customers and profit impacting customer behavior like probability of product purchase, frequency of product purchase, spending capabilities, loyalty, usage of support and services.
These predictive models support various kinds of processes like marketing campaigns, forecasting of financial and developmental aspects, customer budget management and asset management.
Organization usually gets highest return on investment from their marketing promotions by modeling the price elasticity of customers so that a valid offer can be given to each customer. By this the profit margin of product increases with low cost to the organization.
Modeling and profiling are mostly same but the basic difference between them is the factor of time involved in modeling processes; as the modeling is not a static process. Modeling is quite more sophisticatedly implemented and thus making it powerful technique to predict customer behavior.
Modeling process is action oriented and is not at all static throughout the customer life cycle.
Profiling on the other hand is static and no action is taken apart from just recording the actual information and doing analysis on that information.
Modeling on other hand involves action to be taken over times. Modeling also increases the return on investment and enhances business perspectives by fetching out good profit. Being more powerful and effective technique, marketing professionals prefer customer modeling in place of customer profiling because they have to deal with actual customer data.
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