It’s important to know that on average it’s cheaper and easier to retain existing customers than to acquire new ones. An increasing number of top executives are refocusing their efforts on toward customer retention. Let’s break down customer churn as well as what to do about it.
What is Customer Churn, and How Is It Measured?
Customer churn refers to the rate at which customers stop subscribing to a service during a given time period.
How to Measure Customer Churn
According to www.churn-rate.com, “The calculation of churn can be straightforward to start off with. Take the number of customers that you lost last quarter and divide that by the number of customers that you started with. The resulting percentage is your churn rate. You can also calculate churn based on the number of customers lost, the value of recurring business lost, or the percent of recurring value lost.”
Why Is Monitoring Customer Churn Important?
Minimizing churn not only costs less than customer acquisition, it increases earnings.
Cost of Customer Acquisition
Various studies have concluded that it is between 3 and 30 times more expensive to sign a new customer than to retain an existing one. Like the old saying, “A penny saved is a penny earned,” a customer saved is a customer earned. According to NG Data, focusing on customer retention is less expensive because “earning business from new customers means working leads all the way through the sales funnel, utilizing your marketing and sales resources throughout the process. Customer retention, on the other hand, is generally more cost-effective as you’ve already earned the trust and loyalty of existing customers.”
Customer Acquisition Is Not an Optimal Approach for SaaS and Tech-Based Businesses
Many early stage startups and SMBs don’t have the huge sales and marketing budgets necessary to seek new customers. Even if they did, allocating a large budget for customer acquisition would not be in their best interest. Consider the following statistics:
- Improving customer retention by as little as 5% will boost profits by anywhere from 25% to 95%.
- The likelihood of selling to an existing customer is 60-70%, whereas the chances of selling to a new customer are only 5-20%.
- Existing customers are 50% more likely to try new products and spend 31% more money than newly acquired customers.
- Additionally, 80% of your company’s future revenue will come from just 20% of your existing customers.
Tips to Decrease Customer Churn Rates for SaaS Businesses
Customer retention is not a choice for most SaaS companies. Therefore, they need different techniques and strategies to ensure that once they’ve acquired a client or customer, they can maintain the relationship.
Attain the “Right” Customers from the Start
You can reduce churn by acquiring customers who can get the most out of what your software has to offer. The right customers won’t defect due to price. The wrong customers will. By being honest with customers if your software/product isn’t a good fit for their needs, you’re saving yourself from gaining a customer with a low lifetime value who is likely to churn in the future.
Because customer acquisition is more expensive and time-consuming than customer retention, it’s a smart practice to start with customers who will thoroughly utilize what your product has to offer, therefore, making them less likely to defect.
A Thorough On-Boarding Process
When acquiring customers who can gain the most from a company’s product or service, it’s imperative that they are on-boarded properly. Through proper onboarding, a customer will learn exactly how a product/service works and how it will meet his company’s needs. For example, a SaaS business should onboard its new customers, so they’ll have a comprehensive understanding regarding what the software can do along with how to use it. When a customer fully utilizes a product to further the efficiency of his business, his likelihood to churn diminishes.
When a customer is poorly on-boarded, he is more likely to become dissatisfied with a product, as he does not understand exactly what services the product can provide. It is important that an adequately trained representative provide onboarding to new customers, whereas a new representative, or one with insufficient knowledge of the product, is likely to make mistakes and leave out critical information. When a customer doesn’t fully understand a product nor does he use it to its full potential, he is more likely to churn.
Learn from Customers Who Do Churn
Giving customers the freedom to cancel a service online or through an IVR is problematic in that often times, customers do not provide any feedback. Yet, this kind of feedback is priceless in guiding a company to improve a product or service for the future. To address this problem, some companies require service cancellations to be done over the phone, and while this is an old practice, it is not a good practice. A good company will not force customers to leave feedback but will proactively seek it.
Surveys and exit interview phone calls are better ways to collect feedback to find out why customers are churning and to gather information to use in preventing future customers from churning for the same reasons.
Customer Churn Risk and Mitigation
To identify and prevent customer churn, it’s important to know how your customers feel and think. Through calling your customers, you gain a sense of their identities and how they feel about your product. With the aid of KPIs and Big Data, you can get a peek into how they think.
Call Your Customers
Calling your customers periodically to check-in not only exemplifies stellar customer service, it also is a great way to identify and prevent possible churn. Make sure customers are satisfied with their use of your product. If a customer acts unhappy the customer is likely a churn risk.
Another way to know your customers and prevent churn is through the use of KPIs to detect red flags. For example, if a customer has stopped using a service or his use has rapidly declined in the past month or two, he is likely to churn.
The use of Big Data is the most effective way to know customers and reduce customer churn rates. According to Entrepreneur’s Luc Burgelman the use of Big Data helps a company predict potential churn by linking together a series of a customer’s interactions across multiple channels to create a comprehensive customer profile. Having a thorough understanding of a customer allows a business to target exactly where and why his loyalty changes along with what his next move is. This allows a company “to target [him] with relevant messages or offers at exactly the right time to prevent churn.”
Customer Churn Management: How It Is Evolving
In a recently published Harvard Business School journal, Managing Churn to MaximizeProfits, Sunil Gupta proposes a new approach regarding which churn-risk customers a company should fight to save.
The traditional approach to customer churn focuses on preventing any customer from churning. Using statistics and incentives to keep the number of defecting customers low, marketing experts seek to detect which customers are most at risk to churn, then target the customers who rank as the most likely to churn with incentives to stay.
”What’s missing from traditional methods is that they focus only on a customer’s likelihood to churn, but not on the overall profitability of that customer.”
Who to Save
Based on his research findings, Sunil Gupta proposes a new approach regarding which customers to fight to save. The focus is no longer on preventing a specific number of churns, but rather, retaining a specific type of customer by preventing his churn, i.e. the customers with the highest profit margin potential.
Gupta’s model also considers a customer’s likelihood to respond to the incentives aimed at him. In targeting potential churn customers, target, of course, the ones with the highest profit potential, but also target the ones most likely to respond to incentives. Do not waste money and resources on customers who are unlikely to respond.
Theory’s Flaws Don’t Disrupt Profitability
Although Gupta discovered more prediction errors regarding which customers would eventually churn, his method has led to more accurate predictions where they matter most: profit. Gupta says,
”Even if we are a little wrong in predicting the likelihood of customers to churn in some cases, it’s okay. Our goal should not be to minimize the accuracy of churn prediction, regardless of who the customer is. Our goal should be to minimize the error in profitability of who we target.”
In conclusion, what is most important is not how many customers may churn but rather which customers to save.
To make the most of a customer retention budget, companies should aim to save their most profitable customers by reaching out to the ones most likely to respond to available incentives. Gupta says,
“I think anywhere where churn is a big deal and companies are spending resources to reduce churn, this will be useful. The larger the customer base, the more beneficial this model will be to the company. From my view, acquiring a customer is far more costly than keeping a customer. So any company that wants to retain its customers should find some value in this.”
What about you? What are your thoughts on customer churn? We’d love to keep the discussion going in the comments below.
In the meanwhile