Cutting churn by 5% can raise your profit by up to 85%

If someone told you that cutting customer cancellations by just 5% could raise your profit by up to 85%, would you believe it? It sounds like an exaggeration, but it is exactly what researchers Frederick Reichheld and W. Earl Sasser Jr. demonstrated in a classic study published in the Harvard Business Review in 1990.

The logic is simple: customers who stay longer buy more, cost less to serve and refer new customers. Every additional month of tenure accumulates value. When you slow the exits, those effects multiply.

In practice: a vehicle protection association

We modelled the case of a Brazilian vehicle protection association with 3,000 members, on a dataset built to reproduce the sector's pattern. (These associations are a common alternative to car insurance in Brazil: members pay a monthly fee and the association covers losses out of the shared pool.) It accumulates 517 cancellations, and the pace jumped from 11.4 to 58.3 a month after a price rise, 5.1 times higher. Amounts below are converted from Brazilian reais at about R$ 5.10 to the US dollar, with the original figure in brackets.

• Monthly revenue already lost: about $15,600 (R$ 79,767), from the 517 who left
• Additional annual loss if the pace continues: about $21,200 (R$ 108,000)
• Average ticket: $30 (R$ 154) per month

Now imagine that this association managed to retain just 5% of those 517 customers, roughly 26 people. At an average ticket of $30 and average tenure of 18 months, that is close to $14,100 in future revenue preserved. And that is before counting the cost of acquiring 26 new customers to replace them.

Why retention is worth more than acquisition

Winning a new customer costs 5 to 25 times more than keeping an existing one. That figure, reinforced by a 2014 Harvard Business Review article, explains why companies that focus on retention grow faster.

In this association's case, there are three main reasons:

1. The acquisition cost is already paid. Every customer who stays pays back the investment made to bring them in. Every customer who leaves turns that investment into a loss.
2. Long-standing customers generate referrals. In the base analysed, customers who came through consultant referrals had 83.2% retention, 20 percentage points above those who came through the website. The ones who stay bring more people in.
3. Long-standing customers are less price-sensitive. The data showed that the cheapest plan (Rubi, $7-14/month) had 26.9% churn, while the most complete plan (Diamante) sat at 8.7%. People who see the value stay.

The snowball effect of cancellations

If retention creates a virtuous cycle, cancellation creates the opposite. Every customer who leaves:

• Reduces the revenue available to invest in improving the service
• Overloads the sales team, which has to refill the base
• Can generate negative word of mouth, driving away potential customers
• Weakens your negotiating position with suppliers

In the original Reichheld and Sasser study, the authors analysed companies across a range of industries (from credit cards to insurance) and found that the impact on profit varied from 25% to 85% depending on the sector. For subscription-based businesses, such as vehicle protection associations, the effect tends to sit at the high end.

How to apply this in your business

You do not have to solve all of your churn at once. The research shows that incremental gains already make an enormous difference. Start with three questions:

1. How many customers did you lose in the last 3 months? Do not guess: go to the data.
2. What are the most common reasons? A price increase? A denied claim? Service quality? Each cause calls for a different action.
3. Where is the widest exit door? In the case we analysed, 48.6% of customers whose claim was denied went on to cancel. That was the point of highest impact.

When the owner of that association saw that he had already lost about $15,600 of monthly revenue to cancellations, and that every 5% of improvement was worth tens of thousands of dollars a year, customer retention stopped being "something to sort out later" and became priority number one.

The first step is always the same: look at the data you already have.

Data from a vehicle protection association with 3,000 members. The Reichheld and Sasser study (1990) spans multiple industries, but the specific numbers in this article reflect this type of recurring-revenue business.

References

• Reichheld, F. F. & Sasser Jr., W. E. (1990). "Zero Defections: Quality Comes to Services". Harvard Business Review, Sep-Oct 1990.
• Gallo, A. (2014). "The Value of Keeping the Right Customers". Harvard Business Review, Oct 2014.

Frequently asked questions

Why can cutting churn by 5% raise profit by up to 85%?

Because customers who stay longer accumulate recurring revenue, pay back their acquisition cost and refer new customers. When you retain more, revenue grows without extra marketing spend while the cost to serve falls. Reichheld and Sasser showed that this compounding effect ranges from a 25% to an 85% increase in profit depending on the industry, and it is largest in subscription businesses.

How much more does it cost to win a new customer than to keep an existing one?

Between 5 and 25 times more, according to a 2014 Harvard Business Review article. Acquisition demands investment in marketing, sales and onboarding before it produces any revenue at all. An existing customer has already been through those stages and pays on a recurring basis, which makes every extra month of tenure far more profitable than the first sale.

How do I calculate the financial impact of cutting churn by 5%?

Multiply the number of customers you lose per month by 5%, then by your average ticket and by average tenure in months. In a base with 517 cancellations over 6 months, retaining 5% means 26 customers; at a ticket of $30 and 18 months of tenure, that is close to $14,100 in future revenue preserved.

Where should a small business start when cutting churn?

Start by finding the real number of cancellations over the last 3 months, splitting them by reason (price, denied claim, service, non-payment) and identifying the widest exit door. In the case analysed, 48.6% of customers whose claim was denied went on to cancel, so that was the point of highest leverage. Fix the cause that concentrates the most losses before touching anything else.

Which acquisition channel produces customers with the lowest churn?

In the base analysed, customers who came through consultant referrals had 83.2% retention, against 63.2% for the direct channel (the website). That is a gap of 20 percentage points. Referred customers arrive with calibrated expectations and a social tie, which lowers the chance of cancelling in the first months and raises customer lifetime value.