{"id":68550,"date":"2022-09-24T10:13:34","date_gmt":"2022-09-24T08:13:34","guid":{"rendered":"https:\/\/rmarketingdigital.com\/wiki\/analisis-de-cohortes\/"},"modified":"2024-10-28T22:39:19","modified_gmt":"2024-10-28T21:39:19","slug":"analisis-de-cohortes","status":"publish","type":"glossary","link":"https:\/\/rmarketingdigital.com\/en\/wiki\/analisis-de-cohortes\/","title":{"rendered":"Cohort Analysis"},"content":{"rendered":"

<\/p>\n

\n

Cohort Analysis Concept<\/h2>\n<\/p>\n
\n

What is a Cohort Analysis?<\/h3>\n

Cohort Analysis is a technique to examine the behavior of a segment of users with similar characteristics<\/strong>, in a given period of time.<\/p>\n

That is allows assessing the evolution of metrics applied to specific segments<\/strong>. It is mostly used for know the life cycle of customers or users regarding a product or service.<\/strong><\/p>\n

Cohorts can be defined by age, date of registration, geographic location, sex, educational level or any other aspect<\/strong> important that characterizes a segment of the population under study.<\/p>\n

The Cohort Analysis has application in metrics such as the increase in the number of customers or users, retention, <\/strong>conversion<\/strong>\u2026 etc.<\/p>\n<\/div>\n

\n

What is a Cohort Analysis for?<\/h3>\n

It is used to know how certain groups of users or clients with similar characteristics behave<\/strong>, in a period of time and discover how they evolve.<\/p>\n

Its great utility lies in the fact that It is not required to review a large amount of data, it is about categorizing the information according to relevant criteria. <\/strong>This analysis serves to design marketing strategies in order to reduce the loss of customers.<\/strong><\/p>\n

It is also valid for calculate the necessary budget for activities of <\/strong>catchment<\/strong> and retention<\/strong> of customers.<\/p>\n

A Cohort Analysis serves to answer key questions that can help you<\/strong> to offer a better product or service to your customers, for example:<\/p>\n

    \n
  • How many clients have signed up in the last year?<\/li>\n
  • What is the product or service that attracts the most customers on the web?<\/li>\n
  • What are the common characteristics among clients?<\/li>\n
  • Why do customers abandon the shopping cart when they reach the payment methods section?<\/li>\n
  • How to captivate these customers to complete their purchase through remarketing?<\/li>\n
  • What is the average purchases of our customers?<\/li>\n
  • What is the added value that our clients are looking for?<\/li>\n<\/ul>\n<\/div>\n
    \n

    Examples of Cohort Analysis<\/h3>\n

    Suppose you need to know which of the subscribers to a newsletter who registered after a certain date and have become customers.<\/p>\n

    For this, it is necessary to choose the groups of users registered in the time range that you want to review. Subsequently, verify which of them made a minimum purchase in a specific period of time.<\/p>\n

    With this information, it is feasible to project the acquisition of subscribers and customers in the coming months, calculate the average value of purchases and income.<\/p>\n

    In this way, this information will make it possible to estimate the costs and budget necessary for email marketing campaigns, for example.<\/p>\n

    To design a cohort analysis, the procedure must include at least the following stages:<\/p>\n

      \n
    1. Clearly define the cohorts.<\/li>\n
    2. Export and review the data.<\/li>\n
    3. Integrate and cross information with other sources.<\/li>\n
    4. Visualize<\/li>\n
    5. Review and design solutions.<\/li>\n<\/ol>\n<\/div>\n
      \n

      More information on Cohort Analysis<\/h3>\n

      To expand this concept, we suggest you read the following article:<\/p>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

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