What Is Churn?

Churn is a term that refers to the rate at which a business loses customers or users over a given period. It's a crucial metric for businesses that depend on stable subscribers or customers, like telecom companies, online subscription services, and SaaS (software as a service) providers.

Generally, Churn is evaluated primarily by these kinds of subscription-based businesses, since they need stable, long-term customers. Measuring it matters a great deal because, on the financial side, a high Churn rate can be very costly for a company, since acquiring new customers is more expensive than retaining existing ones. On the other hand, it can also signal problems with customer satisfaction, product or service quality, or market competitiveness. These are the most common causes of customer loss.

Origin and Evolution

The concept of Churn was born in the telecommunications industry in the late 1990s, when phone companies were competing fiercely for every customer. It was a time when switching providers became as simple as making a phone call, and companies needed to understand why users were leaving "overnight." That's how the need to measure the drop-off rate came about.

Over time, this metric stopped being exclusive to "telcos" and began a journey across different industries, adapting to each one like a new language:


  • Telecommunications and Utilities: Churn started out as a loyalty thermometer. Every customer who switched companies represented a story: a better price, a bad experience, or a more tempting offer from a competitor. Fierce competition turned Churn into a mandatory KPI.
  • Financial Sector: banks and insurers adopted Churn to understand why customers were migrating to institutions with lower costs, better benefits, or a more agile digital experience. Here, churn reflects distrust or a mismatch with expectations.
  • Software and SaaS: with the subscription economy, Churn went from being "just another indicator" to becoming a core pillar of the business. In SaaS, even a small increase in Churn can slow growth. It's studied almost under a microscope: onboarding, perceived value, support, UX, pricing and engagement.
  • Internet and E-Commerce: digital platforms, e-commerce and apps discovered that Churn measures more than just abandonment, it also measures emotional disconnection. They analyze the "exact moment" a user stops coming back, buying or interacting.

Today, Churn is more than just a metric: it's a strategic tool for anticipating behavior, improving the customer experience, and building long-term relationships. It lets us read trends, catch early signs of customers slipping away, and turn that information into effective retention actions.

How Is It Calculated?

The rate is calculated by dividing the number of customers lost by the total number of customers. Let's say a software company has 1,000 customers at the start of the month and loses 50 customers during that month.


  • Number of customers lost: 50
  • Total number of customers at the start of the period: 1,000
  • Churn Rate = (Number of customers lost / Total customers at start of period) x 100
  • Churn Rate = (50 / 1,000) x 100 = 5%

The result is 5%, meaning the company lost 5% of its customers.

Churn can be calculated over different time periods, daily, weekly, monthly or yearly, depending on the company's needs and how frequently customer turnover occurs.


It's also worth noting that the rate can vary by industry and business type. Even so, as a general rule, we could classify rates using these ranges:


  • Very Low (< 3%): exceptionally high retention; customers are very satisfied and rarely leave.
  • Low (3% - 5%): high retention; most customers are satisfied and loyal.
  • Medium (5% - 10%): good retention, but with some customer turnover.
  • High (10% - 20%): problematic retention; customer satisfaction needs improvement.
  • Very High (> 20%): very low retention; urgent action is needed to prevent significant losses.

It's important to note that this metric shouldn't be viewed in isolation, and should be evaluated alongside other key metrics, like customer acquisition rate, customer lifetime value and customer profitability, to get a complete picture of a company's health.


On top of that, Churn isn't necessarily negative on its own, since it can reflect natural customer turnover or shifts in the market. Still, a high rate can be a warning sign of underlying issues that need to be addressed.

Other Customer Analytics KPIs

  • Lifetime Value (LTV): the total expected value of a customer over the course of their relationship with the company.
  • Customer Acquisition Cost (CAC): the average total cost of acquiring a new customer, including marketing and sales.
  • Customer Retention Rate: measures a company's ability to retain customers.
  • Customer Satisfaction (CSAT): measures customers' overall satisfaction.
  • Net Promoter Score (NPS): indicates how willing customers are to recommend the company.
  • Basket Analysis: analyzes products purchased together to identify patterns.
  • Customer Engagement Metrics: includes session time, visits or interactions.
  • Customer Segmentation Metrics: help divide customers by shared characteristics.
  • Referral Rate: percentage of new customers who arrive through referrals.
  • Cross-Sell and Up-Sell Rates: effectiveness of additional sales strategies.

      • These KPIs are fundamental to understanding and improving customer relationships, as well as optimizing marketing and sales strategies.

      Causes of High Churn

      Dissatisfaction with products or services, poor customer service, or a lack of innovation are the main causes of customer loss. So is a better offer from the competition, or shifts in customers' needs.

      Overpromising: exaggerated promises create expectations that go unmet, leading to dissatisfaction.

      Lack of Training: untrained teams or bureaucratic post-sale processes hurt satisfaction.

      Lack of Innovation: failing to keep up-to-date or study the competition can drive customers away.

      Reduction Strategies

      • Improve the Customer Experience: listen to feedback and make improvements based on it.
      • Loyalty Program: offer incentives to keep customers loyal.
      • Predictive Analysis: identify at-risk customers through data analysis.
      • Customer Service: resolve issues quickly and efficiently.
      • Personalization: offer services tailored to customer needs.
      • Communication: keep customers informed about updates and promotions.
      • Innovation: stay up to date with trends and technologies.
      • Customer Retention: offer discounts or benefits to customers considering leaving.
      • Follow-Up: analyze the reasons behind churn to improve processes.

      While the rate will never be 0, these actions help improve retention and satisfaction.