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Competitive landscape is a business analysis method that identifies direct or indirect competitors to help comprehend their mission, vision, core values, niche market, strengths, and weaknesses. [1] Based on the volatile nature of the business world, where companies represent a competition to others, this analysis helps to establish a new mind ...
Changes in a competitor's advertising message can reveal new product offerings, new production processes, a new branding strategy, a new positioning strategy, a new segmentation strategy, line extensions and contractions, problems with previous positions, insights from recent marketing or product research, a new strategic direction, a new ...
Helps identify who the most direct competitors are and on what basis they compete. Raises the question of how likely or possible it is for another organization to move from one strategic group to another. Strategic Group mapping might also be used to identify opportunities. Can also help identify strategic problems.
Both free and paid versions are available. It can handle Microsoft Excel .xls and .xlsx files, and also produce other file formats such as .et, .txt, .csv, .pdf, and .dbf. It supports multiple tabs, VBA macro and PDF converting. [10] Lotus SmartSuite Lotus 123 – for MS Windows. In its MS-DOS (character cell) version, widely considered to be ...
Perceptual maps, also known as market maps, usually have two dimensions but can be multi-dimensional or use multiple colours to add an extra variable. They can be used to identify gaps in the market and potential partners or merger targets as well as to clarify perceptual problems with a company's product.
Porter's four corners model is a predictive tool designed by Michael Porter that helps in determining a competitor's course of action. Unlike other predictive models which predominantly rely on a firm's current strategy and capabilities to determine future strategy, Porter's model additionally calls for an understanding of what motivates the competitor.
Competitive analysis is a method invented for analyzing online algorithms, in which the performance of an online algorithm (which must satisfy an unpredictable sequence of requests, completing each request without being able to see the future) is compared to the performance of an optimal offline algorithm that can view the sequence of requests in advance.