{"id":11285,"date":"2025-03-10T13:21:46","date_gmt":"2025-03-10T12:21:46","guid":{"rendered":"https:\/\/promogen.cz\/?p=11285"},"modified":"2025-12-12T11:36:41","modified_gmt":"2025-12-12T10:36:41","slug":"vyuziti-kauzalni-statistiky-v-marketingu-klic-k-lepsimu-vyhodnocovani-kampani","status":"publish","type":"post","link":"https:\/\/promogen.cz\/en\/vyuziti-kauzalni-statistiky-v-marketingu-klic-k-lepsimu-vyhodnocovani-kampani\/","title":{"rendered":"The use of causal statistics in marketing: The Key to Better Campaign Evaluation"},"content":{"rendered":"
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Performance Advertising, Performance<\/a><\/div>\t\t\t \t\t\t\t\t\t \t\t\t\n\t\t
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The use of causal statistics in marketing: The Key to Better Campaign Evaluation<\/h4>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t\t\t\t \t\t\t\t\t
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When evaluating marketing events or activities, we often choose traditional metrics such as conversion rates, average order value, PNO, conversion rate or CPC.
\nThese indicators are useful but do not answer the key question: Did our campaign actually cause an increase in sales, or would it have happened without it? This is where causal statistics come in.<\/p>\n\t\t<\/div>\n\t\t<\/div><\/div><\/div><\/div>

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What is causal statistics and how to use it in marketing?<\/h3>\n

Causal statistics focuses on determining the actual causal relationship between two phenomena. While traditional analytics looks at correlations (e.g., \"Did we increase budget and conversions went up?\"), causal statistics asks:
\n\"Would the number of conversions be the same without the budget increase?\"<\/strong><\/p>\n

In marketing, it can be used to make more effective decisions when optimizing campaigns, using methods such as:<\/p>\n