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Evaluation of the effectiveness of media sources

Posted: Wed Jan 29, 2025 9:37 am
by subornaakter20
Specialists who analyze the work of mobile applications often face this problem: it is quite easy to count the number of downloads, but it is unknown where the flow of the most active clients came from. How to find out? The problem is solved with the help of cohort analysis. Look at the example:

Select a group of people who use the version of the mobile application you are interested in.

It is then divided into segments depending outlook email list on the channel through which the client came.

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"Sales Analysis: Overview of Methods + Instructions for Conducting"
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Conducting A/B tests
Comparing data from A/B tests is not difficult. First, they replace the necessary element on their online platform, make a duplicate page with one change, inform users about it and monitor the dynamics of efficiency. But long-term analysis cannot be carried out with such tests. It is better to use a cohort study. Thus, for example, they test visitors' attention to updated buttons on the landing page:

They allocate a certain period for testing, then those who switched to the updated version of the site for the first time are united in one group.

The other one collects people who continued to use the old site.

We analyze performance indicators.

We hope that you have seen examples of the advantages, accessibility, and effectiveness of cohort analysis compared to other tests. In addition, learning this method will not take much time and effort.

Cohort Analysis for SaaS
Let's now take a closer look at cohort analysis for SaaS. Here, with the help of such analysis, it is easier to optimize situations related to the sales funnel. And it's not just about monitoring the actions of a cohort during a month, you can also collect and analyze other data in order to further improve the system's operation.

The Effectiveness of Free Trials of a Product

This marketing move has become very popular at the moment, and performing a cohort analysis will help evaluate the results of this strategy. To understand how effective it is to provide visitors with free use of the service, people are divided into cohorts. For one group, the trial period will last, say, 10 days, and for another - 20. And then they conduct observation for 30, 60, 90 days. In this way, you can find out which free period will give the best result in terms of conversion percentage? How many buyers will you get and how much will they be willing to pay for further use.

With the help of cohort analysis, you answer many questions: what influenced the user's decision to buy your product, as a result of which actions he came to the step you need. Based on the analysis results, you can understand which segment to strengthen and what to exclude.