A cellular service provider wants to forecast demand for a new internet service plan. The service provider will offer the new plan to customers in one region before offering it at all locations. Which model of forecasting is being used?
Test marketing is the model of forecasting being used.
Test marketing involves introducing a new product or service in a limited geographic area to gauge customer response and demand before a full-scale launch. This approach allows the service provider to assess market interest and adjust their strategy based on real customer feedback.
The weighted moving average is a forecasting method that uses past data points, assigning different weights to them based on their relevance to predict future values. This method is not applicable in this scenario, as it does not involve testing a new product in a limited market; rather, it relies solely on historical data.
Test marketing is the correct choice as it specifically refers to the practice of launching a new service in a controlled environment to evaluate customer reaction and demand. This model allows the service provider to gather insights and make informed decisions before a wider rollout.
Exponential smoothing is a forecasting technique that applies decreasing weights to past observations, emphasizing more recent data to predict future trends. While it is useful in analyzing trends over time, it does not involve the testing phase that characterizes test marketing.
The survey method involves collecting data directly from potential customers to gauge interest and preferences. Although it can provide valuable insights, it does not involve the practical implementation of a service in a test market, as seen in the test marketing approach.
In the context of forecasting demand for a new internet service plan, test marketing serves as the most effective model by allowing the service provider to trial the plan in a specific region. This method provides practical insights into customer behavior and demand, differentiating it from other forecasting techniques that rely purely on historical data or direct customer inquiries.
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