You calculate what repeat contact costs your customer service by multiplying the number of repeated contact moments by the average cost per contact, and then projecting that figure on an annual basis. For most medium-sized service organizations, this easily involves tens of thousands of euros per year, sometimes more. In this article, we answer the most frequently asked questions about repeat contact: from what exactly falls under it to how you use the outcome internally to free up budget.
What exactly counts as repeat contact?
Repeat contact is any contact moment where a customer contacts you again about the same subject because the problem was not fully resolved during the first contact. It is the opposite of first contact resolution (FCR): the extent to which customer questions are handled in one go. Repeat contact includes not only callbacks, but also follow-up emails, chat messages, and even visits to a service desk.
In practice, repeat contact is regularly defined too narrowly. Many organizations only count telephone callback requests, while a customer who sends an email a day later about the same problem is just as much a repeat contact. Also consider:
- A customer who calls after a previously sent email was not answered or was answered too late
- A customer who seeks contact again because the information provided was incorrect or incomplete
- A customer who has been transferred without the problem being resolved
- A customer who returns via another channel (chat, WhatsApp) after an unsatisfactory telephone conversation
The broader you define repeat contact, the more realistic your view of the actual scale and therefore the costs.
What data do you need to measure repeat contact?
To measure repeat contact, you need at least three data sets: contact volumes per channel, customer identification per contact, and a time window within which you consider repeated contact to be related. Without a link between contact moments and individual customers, it is virtually impossible to reliably register repeat contact.
In concrete terms, this means you must have the following information in order:
- Customer identification per contact moment: Do you know who the customer is for every conversation, every email, and every chat message? Without this, you cannot link contact moments together.
- Subject categorization: Register the subject or reason for contact for every contact. This allows you to determine if two contacts are about the same thing.
- Timestamp and channel: Note when each contact takes place and via which channel, so you can recognize patterns.
- Time window: Establish within which period you consider two contacts to be related. Fourteen days is a common starting point, but this varies by sector.
Many organizations discover at this step that their data is fragmented across multiple systems: a telephony platform, a separate email system, and a CRM that is not updated in real-time. A thorough business analysis helps to gain insight into where the data links are missing.
How do you calculate the actual costs per repeat contact?
You calculate the actual costs per repeat contact by dividing the total annual operational costs of your customer service by the total number of contact moments, and then multiplying that amount by the number of registered repeat contacts. This gives you a direct euro value that you can use internally.
A simple calculation formula looks like this:
- Determine the average cost per contact: total customer service costs (personnel, systems, housing) divided by the total contact volume per year.
- Determine the repeat contact percentage: the share of contacts classified as repeat contact.
- Calculate the total volume of repeat contacts: total contact volume multiplied by the repeat contact percentage.
- Multiply the volume of repeat contacts by the average cost per contact.
Suppose your customer service processes 120,000 contacts annually, the average cost per contact is 8 euros, and 22 percent of the contacts are repeat contacts. Then it involves over 26,000 repeat contacts per year, with a direct cost of more than 200,000 euros. Those are the visible costs. The actual impact is higher.
Which hidden costs are often overlooked with repeat contact?
In addition to the direct handling costs, repeat contact also entails indirect costs that are rarely included in calculations: higher workload for employees, longer waiting times for other customers, increased customer churn, and reputational damage. These costs are harder to quantify, but in practice often larger than the direct costs.
The most underestimated hidden cost items are:
- Capacity loss: Every employee who handles a repeat contact is not available for new questions. This increases queues and lengthens the average waiting time for all customers.
- Customer churn: Customers who have to contact you multiple times for the same problem are significantly less loyal. The costs of lost customers are rarely found in the customer service budget, but they do affect revenue.
- Employee satisfaction: Repeated contacts about unresolved problems are frustrating for employees. This increases staff turnover, leading to extra recruitment and onboarding costs.
- Escalation costs: Repeat contacts escalate more often to higher levels or complaint departments, which is more expensive per handled case.
If you take calculating the costs of customer contact seriously, you also include these indirect effects in your business case.
What is a realistic repeat contact percentage for my sector?
A realistic repeat contact percentage for most service organizations lies between 15 and 35 percent of the total contact volume, depending on sector, channel mix, and complexity of the service. Organizations with simple, transactional questions are usually lower; organizations with complex files or dependence on back-office processes are higher.
Some guidelines per sector, based on practical experience:
- Housing associations and government: Repeat contact percentages of 25 to 35 percent are not uncommon, especially for repair requests, appeal processes, or applications that depend on multiple departments.
- Utilities: Around outages and billing questions, percentages often lie between 20 and 30 percent.
- Education and hospitality: Highly seasonal, but peak periods often show high repeat contact percentages due to capacity pressure.
Important to realize: a repeat contact percentage of zero is not realistic and also not the goal. A percentage below 15 percent is generally considered good. Anything above that is a concrete reason to investigate which processes or information flows are not in order.
How do you use the outcome to free up internal budget?
You use the calculated costs of repeat contact internally by translating them into a concrete business case: how much can you save if you reduce the repeat contact percentage by a certain number of percentage points? A reduction of five percentage points can already yield tens of thousands of euros per year for a medium-sized customer service, which justifies investments in better systems or processes.
Make the business case as concrete as possible by working out three scenarios:
- Conservative scenario: Reduction of repeat contact by five percentage points. What direct saving does this yield?
- Realistic scenario: Reduction by ten percentage points, combined with an estimate of the indirect benefits such as lower workload and less turnover.
- Ambitious scenario: Reduction by fifteen or more percentage points through structural process improvement or automation of repetitive questions.
Present the outcomes not only as cost savings, but also as capacity gain: how many extra contacts can your team handle if repeat contact decreases? And what effect does that have on customer satisfaction and accessibility? That makes the business case also attractive for management and MT who steer on quality and continuity, not just on costs.
How Pegamento helps in calculating and reducing repeat contact
We help organizations not only to calculate repeat contact, but also to structurally reduce it. We do this by starting with a thorough analysis of your current customer contact processes, data links, and channels. From that picture, we determine together where the greatest gain can be achieved and which approach is most suitable for your organization.
What we offer specifically:
- Business analysis and baseline measurement: We map out your repeat contact percentage and translate that into a concrete business case that creates internal support.
- Omnichannel customer contact platform: By bringing telephony, email, chat, and WhatsApp together in one environment, employees immediately see the full customer file. This prevents customers from having to tell their story again.
- AI and Agentic AI: Intelligent assistants that answer frequently asked questions directly and support employees with more complex questions, so that problems are more often resolved in one go.
- Process automation: We automate repetitive actions and recurring information flows with smart solutions, including what we call Agentic AI: an evolution from executive bots to self-thinking assistants that take initiative and act independently, not just follow instructions.
- Everything under one roof: From analysis to implementation, management, and continuous optimization: you have one point of contact and no complex supplier constructions.
Do you want to know what repeat contact costs your organization annually and what can realistically be saved? Contact us for a non-binding conversation.
Frequently Asked Questions
How quickly can I start measuring repeat contact if my data is fragmented across multiple systems?
You don’t have to wait until all systems are fully integrated. Start with the channel where you have the most data available, for example telephony, and use that as a starting point for an initial baseline measurement. Even a sample over two to four weeks can already give a reliable indication of your repeat contact percentage. From that first measurement, you build out the data links to other channels step by step.
What are the most common mistakes when setting up a repeat contact measurement?
The biggest pitfall is using a time window that is too narrow or a channel definition that is too limited, causing you to structurally underestimate repeat contact. Another common mistake is the lack of unambiguous subject categorization: if employees register the same problem differently, you cannot reliably link contact moments together. Therefore, first ensure standardized contact reasons and a clear measurement definition before you start analyzing.
How do I involve my customer service employees in reducing repeat contact?
Employees are the best source of insight: they know exactly which questions keep coming back and why problems are not resolved in one go. Organize short sessions in which employees name the most frustrating repeat contacts and let them think along about solutions. This not only increases the quality of your analysis, but also ensures support during the implementation of improvements.
Can reducing repeat contact also have a negative effect on customer satisfaction?
That risk exists if you try to reduce repeat contact by actively discouraging customers from contacting you, for example through barriers in your telephone accessibility. The right approach is to improve the quality of the first contact, so that customers simply have no reason to call back. When you focus on better information provision, faster handling, and clearer communication, customer satisfaction usually rises simultaneously with the decrease in the repeat contact percentage.
What quick wins are possible to quickly lower repeat contact, even before large systems are adapted?
One of the fastest wins is improving the feedback to customers after an initial contact: send a confirmation with a clear expectation about the handling time and a direct callback option. In addition, it helps to inventory the most common causes of repeat contact and create an improved script or knowledge article for those specific subjects. These adjustments can often be implemented within a few weeks and yield direct measurable results.
How often should I re-measure the repeat contact percentage after implementing improvements?
Measure at least monthly, so you can see in time whether implemented improvements are having the desired effect and whether new causes of repeat contact are arising. In the first three months after an implementation, weekly monitoring is recommended, because effects sometimes become visible with a delay or initially rise temporarily due to adjustment phases for employees. Make repeat contact a fixed KPI in your monthly customer service reporting, so it receives structural attention.
Is an omnichannel platform necessary to effectively reduce repeat contact, or are there alternatives?
An omnichannel platform makes it significantly easier to link customer contacts across channels and give employees a full customer file immediately, but it is not a hard requirement to start. Organizations that are not yet ready for a full platform can work with a central CRM as an interim solution in which employees manually register contact moments. This is labor-intensive, but already provides a better basis than completely disconnected systems and helps you substantiate the business case for a structural solution.


