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In today's highly competitive business landscape, gaining insights into customer behavior and loyalty is vital for sustained growth.
One key metric that holds significant value for businesses is churn rate. Churn rate quantifies the rate at which customers stop spending money on a product, service, or organization.
This guide aims to provide a comprehensive understanding of churn rate, its relevance to businesses, how to calculate it, and the importance of measuring it over time.
Churn rate can measure several different types of churn, the main two being customer retention and revenue retention. Customer churn rate measures the percentage of customers who leave. Revenue churn rate measures the percentage of revenue lost due to customers leaving.
When customers churn, it means they've chosen to end their relationship with the company, whether by canceling a subscription, ceasing to make purchases, or switching to a competitor. Churn rate is typically expressed as a percentage and is calculated by dividing the number of customers lost during a specific period by the total number of customers at the beginning of that period.
Acquiring new customers can use considerable resources.
Understanding churn rate is essential because it helps businesses evaluate the effectiveness of their customer acquisition and retention strategies. A high churn rate can be indicative of various underlying issues, such as poor ad targeting, miscommunication of the value proposition, dissatisfaction with the product or service, poor customer experiences, pricing problems, or increased competition.
By closely monitoring churn rates, businesses can identify patterns and trends, enabling them to pinpoint areas that need improvement and develop targeted initiatives to reduce customer attrition.
Churn can negatively impact a company's profitability, growth, and reputation.
Calculating churn — whether for customers, revenue, or users — is simple.
For example, if a company had 100 customers at the beginning of the month and lost 10 customers during the month, the monthly customer churn rate would be 10%.
The formula for calculating revenue churn rate is:
Businesses can calculate churn rates based on any time period that's most relevant to their business.
The most common churn rates are calculated on a weekly, monthly, and yearly basis, although some products also calculate user churn daily.
The main method used to measure churn rate is cohort analysis.
Cohort analysis tracks the user or customer behavior of a specific group of users. A "cohort" is simply a group of people that share common characteristics. Cohorts tend to fall in two categories:
Acquisition cohorts based on time period are the most common form of cohort analysis.
The period used by the business depends on the product or service.
Common time periods to analyze include days, weeks, or months. A freemium consumer app might use daily cohorts, while a paid team project management might use weeks and an enterprise software or services business may measure by months.
As an example, imagine a consultancy that works with ecommerce websites to design their websites and optimize conversion rates. They work on monthly retainers, so monthly cohort analysis makes the most sense.
They could take in all new customers in January, February, March, etc. and measure the longevity of the partnership. Over the course of a year, how many of the January customers discontinue business with this consultancy? That'd be the annual churn rate of that cohort.
The tools needed to measure churn rate depend on the business model. For an expensive product or service with relatively few customers, this is simply done in a CRM system. For products with hundreds of thousands or millions of users, it requires product analytics and a data warehouse to instrument and model out churn rate.
A healthy churn rate varies widely based on the type of business, product, or service.
For subscription services, a good goal is to keep customer churn under 5%.
For SaaS products with free users in addition to paid subscriptions, a common rule of thumb is that for every 8-10% of monthly churn, a business will need to double its acquisition rate. This, of course, is subjective, and can vary based on the individual business, pricepoint, and overall category.
Reducing churn rates, no matter the starting point, is one of the most efficient ways to grow a business.
Generally, during the early stages of building a company, churn rate will be high and as founders and executives scale the company, the goal is to reduce churn rate. The specific churn rate will vary a lot based on the business.
For example, a SaaS product targeting small to medium businesses would have a healthy business at a 90% net retention rate, but enterprise SaaS companies tend to have net retention rates above 100% (meaning they sell additional seats or products after the first deal closed).
A high churn rate indicates that there are issues with the product, service, or customer experience. Common causes of churn include:
There are several strategies that companies can use to reduce churn rate. The very first step is to understand the reasons for churn.
No matter what issue is causing churn in a specific business context, the three following solutions apply to almost all businesses regarding reducing churn rates:
The "customer experience," is, of course, a broad concept that includes user experience and user interface as well as customer support and onboarding.
At each step of the process, from the first marketing touchpoint all the way through customer support experiences and support document availability, attempt to drive high customer satisfaction rates and avoid frustrating valuable customers.
Businesses often have a poor understanding of who their product is best used by, and there's a disconnect between product, sales, and marketing teams. So, marketing and sales teams target a certain customer segment, and the product is a poor fit.
This leads to customer churn, not because the product, but because the customers targeted for acquisition are a bad fit.
Consider products like LinkedIn Sales Navigator to help target the precise customers best suited for a particular business. With LinkedIn Sales Navigator, users can also manage accounts and see if any changes have occurred at a company that may make reaching out with a product or service especially ideal. LinkedIn Sales Navigator can also understand buyer intent, help map relationships for efficiency, and better help with engagement. Businesses should invest heavily in customer segmentation efforts, to make sure the product and customer are a good fit. This can be done with market research, customer surveys, interviews, and other qualitative methods.
Customer feedback is the breakfast of champions. Businesses can never truly know why customers are churning if they don't have analytics to track churn and customer feedback to track the reasons for churn.
At the very least, businesses need to have analytics set up to track their churn rate across time. This allows for longitudinal analysis (in other words, to see if customer churn is improving or not over time).
More importantly, businesses should keep close contact with their customers through surveys, customer interviews, and user experience research. At any point in the business's growth, there will be customer experience problems and bottlenecks. That's inevitable. But it's entirely within the control of a business to fix them, as long as they know about them. And that requires customer feedback and research.
However, businesses can acquire the right customers and find product market fit by targeting specific businesses, roles, and industries with LinkedIn Sales Navigator.
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