Examples of 'customer churn' in a sentence
Meaning of "customer churn"
customer churn - Customer churn refers to the rate at which customers stop doing business with a company. It is a metric used by businesses to assess customer retention and loyalty
How to use "customer churn" in a sentence
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customer churn
Reducing customer churn through data analytics.
You get better at reducing customer churn.
Predicting customer churn using logistic regression.
It is also known as the rate of attrition or customer churn.
Reduce their customer churn rates.
There are several different ways to calculate customer churn.
How to prevent customer churn using predictive analytics.
Machine learning can be used to predict customer churn.
Survey of customer churn factors.
Customer churn prediction in telecommunications.
Decrease customer churn.
Customer churn is a serious menace that media companies find almost impossible to tackle.
Prevention can sometimes be the best medicine when it comes to reducing customer churn.
But preventing customer churn is key to improving your revenue.
You can then use this feedback to improve your business and reduce customer churn.
See also
Others reduce customer churn and improve satisfaction ratings.
Using Big Data telecom companies can predict customer churn in a better way.
Customer churn refers to how much business has been lost within a specific period of time.
And this is useful because customer churn and revenue churn do not always line up.
Customer churn rate is the rate at which your customers cut ties with your companies.
Know the effects of seasonality on customer churn and the success of campaigns and strategies.
Customer churn is the 1 enemy of SaaS startups.
ProdPad also has never had a customer churn who was part of their Slack community.
In order to improve customer retention, brands must focus on customer churn.
Reduce the downside of customer churn by focusing your attention on the most profitable customers.
Divide the number 1 by your customer churn rate.
Sometimes, customer churn rate is calculated as a lost business value.
Which customers live in areas with a high statistical customer churn rate?
Pre-made packages can predict customer churn or analyze a company 's social media content.
Luckily for businesses, predictive modeling can be used to prevent customer churn.
Reduce customer churn - You worked hard to make that sale.
At the very least, marketers can help to address the problem of customer churn.
Customer churn - Predict which customers are likely to leave your company and go to a competitor.
By enabling organizations to manage valuable relationships across multiple departments, customer churn is reduced.
A high customer churn rate?
With good predictive analytics, you have the means to reduce your customer churn.
Sales, Identifying a company 's best clients and predicting customer churn are two strengths of predictive analytics.
However, whenever you talk about customer retention you also need to talk about customer churn.
Scenario 2, customer churn is low, but so is the number of new customers.
Find your customer lifetime rate by dividing the number 1 by your customer churn rate.
Credit card companies usually have customer churn rates that are around 20 %.
In today 's saturated mobile phone market, preventing customer churn is vital.
Reduce customer churn by 10 percent.
In this paper, we present a new cost-sensitive framework for customer churn predictive modeling.
By not responding to reviews, you run the risk of increasing your customer churn by 15 %.
Azure Machine Learning, Deploying the customer churn model.
Price, on the other hand, plays only a minor role in customer churn rates.
First, how do I measure my customer churn rate?
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Net new individual customer accounts in thousands
Customer response to these changes was also positive
Explain to the customer the importance of not
Examples of using Churn
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Why do not you go churn us some butter
They churn like they are full of nails
Anger can not churn the butter