we can identify a specific segment of users
Posted: Sun Jan 19, 2025 9:27 am
The most common cohort analysis uses cohorts of users or customers based on time (e.g., user registration in a certain month), user activity (e.g., first purchase or viewing of a specific product), geography, or demographics. The choice of parameter depends on the purpose of the cohort analysis: for example, evaluating the effectiveness of marketing activities or improving customer retention programs.
Cohort analysis is used primarily as a study to help i belarus telegram number database dentify common parameters and patterns in the behavior of website users. Here are some examples of cohort analysis: measuring the period of customer activity to optimize loyalty strategies; assessing the impact of changes in a product or website on user behavior; identifying the most effective channel for attracting customers (giving maximum profit and requiring minimum costs to attract a buyer); assessing the results of new incentive events - promotions, special offers, discounts - to stimulate long-term customer activity or increase conversion. Using cohort analysis, from the mass of visitors and website users attracted by a specific promotion, who came in a certain month, or who came to the website from a specific traffic channel.
How to collect data
To collect data, you can use the functionality of popular web analytics systems, such as Google Analytics 4. Basic capabilities for analyzing cohorts among site visitors or buyers are available here. Unfortunately, Google web analytics does not always process data on users attracted by Yandex Direct contextual advertising or those who came from Yandex search qualitatively, and the tool itself is not convenient for all marketers and is often not used to collect information and build end-to-end analytics.
Cohort analysis is used primarily as a study to help i belarus telegram number database dentify common parameters and patterns in the behavior of website users. Here are some examples of cohort analysis: measuring the period of customer activity to optimize loyalty strategies; assessing the impact of changes in a product or website on user behavior; identifying the most effective channel for attracting customers (giving maximum profit and requiring minimum costs to attract a buyer); assessing the results of new incentive events - promotions, special offers, discounts - to stimulate long-term customer activity or increase conversion. Using cohort analysis, from the mass of visitors and website users attracted by a specific promotion, who came in a certain month, or who came to the website from a specific traffic channel.
How to collect data
To collect data, you can use the functionality of popular web analytics systems, such as Google Analytics 4. Basic capabilities for analyzing cohorts among site visitors or buyers are available here. Unfortunately, Google web analytics does not always process data on users attracted by Yandex Direct contextual advertising or those who came from Yandex search qualitatively, and the tool itself is not convenient for all marketers and is often not used to collect information and build end-to-end analytics.