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Technology for studying customers of a large number of competitors:

Posted: Mon Jan 20, 2025 4:16 am
by Maksudasm
Analysis methods can be either a separate research tool or a well-thought-out strategy. It is important to collect the maximum amount of data on competitor companies. Various means can be used for this, including monitoring information in the media, industrial espionage, interviews with consumers, and analysis of available documents. Below we will consider complex research methods.

Technology for studying customers of a large number of competitors:

Differentiation of companies by business size.

Identifying the turn leads into sales with overseas chinese in worldwide data advantages and disadvantages for each category of firms.

Development of a competitive strategy separately for all groups of companies, taking into account their characteristics.

Formulation of the final policy for dealing with rivals.

Analysis of all elements of the planned strategy in order to identify errors and shortcomings.

This technology can be used when there are 2 or more competitors.

The main stages of Michael's famous method:

Assessing the motivation and prospective strategies of a competitor.

Analysis of existing company policies and the methods used to implement them.

Assessing the competitor's position in the market niche.

Predicting possible actions of opponents.

The analysis method described above is used every 2-3 years.

The "4P" technology, based on the study of competing firms' concepts. It can also be used when there are several competitors. The technology is based on a comparative analysis:

Product.

Prices.

Sales region.

Methods of promotion.

The weight of each of the above factors may vary. This is influenced by the importance of a separate indicator in each specific case. Once all the necessary information is obtained, you can build a rating of competing companies.

Please note! Every successful business should conduct in-depth research at regular intervals, but do not forget about the express analysis capabilities, as this tool allows you to effectively solve smaller-scale problems.