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Justyna Jupowicz-Kozak

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cohort analysis

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "cohort analysis" is correct and usable in written English.
It is typically used in contexts related to data analysis, marketing, and research, where groups of subjects are analyzed over time to observe trends or behaviors. Example: "The marketing team conducted a cohort analysis to understand customer retention rates over the past year."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

"A lot of cohort analysis has crept in," he said.

News & Media

The New York Times

Cohort analysis has been used most extensively in demography, especially in studies of fertility.

Let's run a cohort analysis!

News & Media

TechCrunch

Retrospective cohort analysis.

Retrospective matched cohort analysis.

Seasonality can be an important component to elucidating cohort analysis.

News & Media

TechCrunch

But cohort analysis revealed that something was wrong.

News & Media

TechCrunch

Type of Study:Prospective cohort analysis.

The rest of the meeting was spent in product and cohort analysis.

News & Media

TechCrunch

The decay we see here is typical in a cohort analysis.

News & Media

TechCrunch

This update now also allows Analytics users to perform cohort analysis.

News & Media

TechCrunch
Show more...

Expert writing Tips

Best practice

When conducting a "cohort analysis", clearly define your cohorts based on relevant characteristics such as acquisition date, shared experiences, or demographic data to ensure meaningful insights.

Common error

Avoid vague or overly broad cohort definitions. Clearly define the criteria for inclusion in each cohort to ensure that the analysis yields actionable and relevant results.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "cohort analysis" functions primarily as a noun phrase, often used as the object of a verb or as a modifier in a larger noun phrase. Ludwig AI confirms its common usage in various contexts. For example, "Let's run a cohort analysis!"

Expression frequency: Very common

Frequent in

Science

41%

News & Media

40%

Formal & Business

19%

Less common in

Encyclopedias

0.8%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "cohort analysis" is a widely used and grammatically sound noun phrase that refers to a method of data analysis focused on tracking specific groups over time. As Ludwig AI indicates, it is commonly employed in scientific research, news reporting, and business analytics. Its primary function is to describe this analytical method, with the intent to uncover trends and patterns. While alternatives like "group analysis" or "segment analysis" exist, "cohort analysis" specifically highlights the temporal aspect of tracking a defined group. It's crucial to clearly define cohorts to ensure meaningful analysis.

FAQs

What is the purpose of performing a "cohort analysis"?

A "cohort analysis" helps to understand how a group of users, customers, or subjects behave over time. It's useful for identifying trends, measuring retention, and evaluating the impact of changes or interventions on specific groups.

How do you define a "cohort" in cohort analysis?

A "cohort" is a group of individuals who share a common characteristic or experience within a defined period. Common characteristics include acquisition date, sign-up month, or shared demographic traits.

What are some alternatives to "cohort analysis"?

Depending on the context, alternatives to "cohort analysis" include "group analysis", "segment analysis", or "trend analysis". Each of these terms emphasizes different aspects of analyzing groups and trends.

How is "cohort analysis" used in marketing?

In marketing, "cohort analysis" is used to track customer behavior over time, measure customer retention rates, and understand the impact of marketing campaigns on different customer segments. It helps identify which strategies are most effective for retaining and engaging customers.

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Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: