Which KPIs do you use to increase customer retention?

The KPIs that contribute most to customer retention are: First Contact Resolution (FCR), Customer Effort Score (CES), repeat contact rate, and average wait time. These metrics reveal where customers lose interest or become frustrated, long before they actually leave. Combine them with NPS and CSAT to get a complete picture of the customer experience. In this article, we answer the most frequently asked questions about customer retention and KPIs, so you know exactly what to focus on.

Which metrics predict customer churn the earliest?

The earliest signs of customer churn are visible in behavioral metrics: a rising repeat contact rate, a declining First Contact Resolution rate, and an increase in complaints across multiple channels simultaneously. These metrics respond more quickly to changes in customer satisfaction than survey-based scores such as NPS.

Statistically speaking, customers who contact us multiple times about the same issue are significantly more likely to leave than customers whose issue was resolved on the first try. The same applies to customers who switch channels—for example, from chat to phone—because they feel their issue isn’t being taken seriously.

Other early indicators include:

• Rising average handling time (AHT): indicates that more complex or unresolved issues are piling up
• Higher transfer rates: Customers who aren’t connected to the right person lose trust
• Declining self-service usage: Customers who stop using your knowledge base or chatbot have often become frustrated
• Increase in contacts outside office hours: indicates urgent needs that are not being adequately addressed during the day

If you want to identify customer churn at a very early stage, combine behavioral data from your contact center with CRM data on purchase frequency and contract renewals. Combining these two data sources gives you a much more reliable predictive picture than any single metric on its own.

What is the difference between NPS, CSAT, and CES in terms of retention?

NPS (Net Promoter Score) measures long-term loyalty, CSAT (Customer Satisfaction Score) measures satisfaction following a specific interaction, and CES (Customer Effort Score) measures how much effort a customer had to expend to achieve their goal. When it comes to customer retention, CES is generally the most predictive metric, because high customer service effort is a direct reason for customers to leave.

NPS: The Loyalty Thermometer

NPS asks customers how likely they are to recommend your business on a scale of 0 to 10. It’s an excellent strategic metric, but it’s slow to respond to operational changes. You won’t see a drop in NPS until weeks or months after the problems have started. So use NPS as a signal at the executive level, not as an operational management tool.

CSAT: A Snapshot

CSAT measures whether a customer was satisfied after a specific touchpoint, usually through a short survey immediately following the call or chat. It’s useful for assessing the quality of individual interactions and coaching employees, but it says little about the overall customer relationship. A high CSAT score at a single touchpoint doesn’t rule out the possibility that the customer might still leave if the underlying issue isn’t resolved.

CES: The Retention Meter

CES measures how much effort a customer had to expend to receive assistance. Research in the customer service industry consistently shows that high customer effort is the strongest predictor of customer churn. Customers who receive assistance effortlessly are more likely to stay. Customers who have to repeat themselves, are transferred, or have to wait a long time look for alternatives. For customer contact teams, CES is therefore the most direct retention metric of the three.

How do you correctly calculate the customer retention rate?

You calculate the customer retention rate by taking the number of customers at the end of a period, subtracting the number of new customers acquired during that period, dividing by the number of customers at the beginning of the period, and multiplying by 100. The formula is: ((end-of-period customers – new customers) / beginning-of-period customers) x 100.

Here’s an example: You start the quarter with 500 customers, acquire 80 new ones, and end with 520. Your retention rate is then ((520 – 80) / 500) x 100 = 88%. This means you have retained 88% of your existing customers.

Be aware of a few common mistakes in this calculation:

• Don’t exclude new customers: if you include them in your calculations, it skews the results in a positive direction, even though you’re actually losing customers
• Choosing the wrong time period: For subscription services, a quarter or a year makes sense; for transactional businesses, a shorter period may be more relevant
• Counting dormant customers as active: Determine in advance when a customer is considered “lost” so that you can measure consistently

Always calculate the retention rate by customer segment if you have multiple segments. An average of 85% can mask the fact that your premium customers are leaving in droves while lower-priced segments remain stable.

Which KPIs are most relevant for customer service teams?

For customer service teams, the KPIs most relevant to retention are: First Contact Resolution (FCR), Customer Effort Score (CES), average wait time, repeat contact rate, and transfer rate. These five metrics directly measure the quality of the customer experience at the moment they contact the company, and that moment is crucial for retention.

Here is an overview of what each metric means and why it matters:

• First Contact Resolution (FCR): the percentage of inquiries that are fully resolved in a single interaction. A low FCR means that customers have to call back, which leads to frustration and churn.
• Customer Effort Score (CES): how easy or difficult customers found it to get help. Directly linked to loyalty.
• Average wait time: Long wait times are one of the most commonly cited reasons why customers switch to a competitor.
• Repeat contact rate: the percentage of customers who call or chat multiple times about the same issue. A high percentage indicates structural problems in your handling of the issue.
• Transfer rate: how often customers are transferred. Each transfer increases the likelihood of frustration and churn.

In addition to these five, it’s also useful to measure the volume of contact per channel. If you notice that customers are increasingly reaching out via WhatsApp or email instead of by phone, it could mean that they perceive the phone line as a barrier, which poses a retention risk.

How do you use retention KPIs to prioritize improvements?

Use retention KPIs to prioritize improvements by starting with the metric that represents the highest volume of frustrated customers. Combine quantitative data (which metric is performing the worst?) with qualitative data (why?) to determine where you can make the biggest impact with the least effort.

A practical three-step approach:

1. Identify the bottleneck: see which KPI deviates the most from your benchmark or target. Is your FCR low? Then that’s your starting point, because every unresolved issue directly affects your retention.
2. Analyze the cause: examine the underlying data. A high repeat contact rate may be due to poor routing, a lack of knowledge among employees, or systems that do not display customer history. The solution varies depending on the cause.
3. Measure the effect of your intervention: implement one improvement at a time and measure its impact on the KPI over at least four weeks. That way, you’ll know what works and what doesn’t.

A common mistake is trying to address all the poor metrics at once. That makes it impossible to measure what made a difference. Choose the metric with the greatest impact on customer churn and address that one first.

When are retention KPIs a symptom rather than the cause?

Retention KPIs are a symptom when the underlying cause lies outside the customer contact team. A declining FCR or rising CES may be the result of product issues, unclear communication from marketing, or fragmented systems that force employees to work inefficiently. In that case, improving the metric itself won’t solve anything.

A high repeat contact rate is a good example of this. If customers keep calling about the same problem, the first question is: Is this due to how employees handle the problem, or is the product or service itself the source of the problem? If a software bug or an unclear invoice is the real cause, you can train the FCR team until you’re blue in the face, but the metric won’t improve structurally.

Other situations in which KPIs are symptoms:

• Employees who have to switch between multiple systems to answer a single question, causing AHT to rise
• Routing that is based on availability rather than customer demand, causing customers to be directed to the wrong department
• No visible customer history in the contact center, forcing customers to repeat their story over and over again

Whenever you see a poor metric, also consider the context: is this a team problem, a process problem, or a system problem? That question determines who should take the lead on the solution and prevents you from wasting your energy in the wrong place.

How Pegamento Helps with Customer Retention

We understand that retention KPIs will only improve if the underlying infrastructure allows for it. Many organizations track metrics but are unable to take action because their systems are fragmented, employees lack a complete view of the customer, or routing does not align with actual customer demand. That is exactly where we make a difference.

Through our contact center technology, we offer customized solutions using standard building blocks, so you don’t need costly custom development but still get a solution that’s perfectly tailored to your situation. Everything under one roof, from implementation to management. Specifically, we help you with:

• Smart routing that directs customers directly to the right employee or department, immediately improving FCR and CES
• Omnichannel customer overview that allows employees to view a customer’s complete history on a single screen, regardless of which channel the customer previously used to contact the company
• Real-time dashboards that bring all retention KPIs together in one place, so you can focus on the metrics that really matter
• Agentic AI assistants that handle repetitive questions on their own and take the initiative in common customer scenarios, allowing employees to focus on complex situations

Would you like to know how your customer service team can improve on the KPIs that most influence retention? Contact us, and we’ll explore the possibilities together.