{"id":4172,"date":"2018-08-14T10:19:36","date_gmt":"2018-08-14T08:19:36","guid":{"rendered":"http:\/\/www.maix-analytics.de\/?page_id=4172"},"modified":"2018-08-24T12:52:32","modified_gmt":"2018-08-24T10:52:32","slug":"conjoint-for-prize-and-product-optimization","status":"publish","type":"page","link":"https:\/\/www.maix-analytics.de\/en\/what-we-do\/market-analyses-and-strategies\/conjoint-for-prize-and-product-optimization\/","title":{"rendered":"Conjoint for prize and product optimization"},"content":{"rendered":"<h2>In a modern world where your customers are better informed than ever, you need methods to answer the following questions:<\/h2>\n<ul>\n<li>What is the ideal price and what is the expected profit?<\/li>\n<li>Which product combinations have the greatest market potential?<\/li>\n<li>How should we react to a new product of our competition?<\/li>\n<\/ul>\n<p><strong>The benefits of conjoint analyses<\/strong><\/p>\n<p>A conjoint analysis is especially useful in situations where clients make well-informed decisions. If you have a dedicated customer base that examines the market before contacting you, the conjoint analysis is an important tool. It helps you to find the right price and product combinations.<\/p>\n<p>The procedure is, in its whole simplicity, the following:<\/p>\n<ul>\n<li>A compilation of different price and product combinations, between which the test person must choose<\/li>\n<li>Statistical evaluation<\/li>\n<li>Simulation of market reactions to other alternatives<\/li>\n<\/ul>\n<p>This may sound simple, but there is a lot to be considered regarding the number of choices and test persons. The more options you have in your product offering, the more test persons you will need.<\/p>\n<p>We make sure that you get a statistically relevant data base which enables you to simulate future market situations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In a modern world where your customers are better informed than ever, you need methods to answer the following questions: What is the ideal price and what is the expected profit? Which product combinations have the greatest market potential? How should we react to a new product of our competition? The benefits of conjoint analyses [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":4166,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-4172","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.maix-analytics.de\/en\/wp-json\/wp\/v2\/pages\/4172","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.maix-analytics.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.maix-analytics.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.maix-analytics.de\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.maix-analytics.de\/en\/wp-json\/wp\/v2\/comments?post=4172"}],"version-history":[{"count":4,"href":"https:\/\/www.maix-analytics.de\/en\/wp-json\/wp\/v2\/pages\/4172\/revisions"}],"predecessor-version":[{"id":4335,"href":"https:\/\/www.maix-analytics.de\/en\/wp-json\/wp\/v2\/pages\/4172\/revisions\/4335"}],"up":[{"embeddable":true,"href":"https:\/\/www.maix-analytics.de\/en\/wp-json\/wp\/v2\/pages\/4166"}],"wp:attachment":[{"href":"https:\/\/www.maix-analytics.de\/en\/wp-json\/wp\/v2\/media?parent=4172"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}