Most Dutch customer service teams are performing below market standards by 2026, without knowing it themselves. Industry research shows that, on average, organizations rate their own customer satisfaction scores higher than customers actually experience them. The good news: Those who know where they stand can make targeted improvements. In this article, we answer the most frequently asked questions about customer service benchmarks and what they mean for your organization.
What KPIs do leading customer service teams use in 2026?
Leading customer service teams in 2026 measure not only speed, but also quality, effort and customer experience. The most commonly used KPIs are First Contact Resolution (FCR), Customer Effort Score (CES), Net Promoter Score (NPS), average handling time (AHT) and reachability percentage. Those who focus only on wait time are missing the full picture.
The shift you see in the best performing teams is that they combine KPIs instead of measuring them separately. A short wait time is worthless if the customer then has to repeat their story or the problem is not solved. Therefore, smart teams steer on a combination of:
- First Contact Resolution (FCR): is the problem solved in one contact?
- Customer Effort Score (CES): how much effort does it take the customer to be helped?
- Net Promoter Score (NPS): would the customer recommend your organization?
- Average handling time (AHT): how long does a call take including post-processing?
- Reachability rate: what percentage of contact attempts are actually answered?
What sets these teams apart is that they also measure these KPIs channel-independently. Whether a customer calls, chats or sends an e-mail, performance is tracked in the same way. That gives an honest picture of actual service quality.
What are the average waiting times in Dutch contact centers?
The average waiting time in Dutch contact centers in 2026 will be between two and four minutes for telephone contact, depending on the sector. In busy sectors such as government, healthcare and telecom, peak periods can reach ten minutes or more. Customers regard waiting times longer than two minutes as unacceptable.
What the benchmarks for waiting times show is a big difference between sectors. Housing associations and government agencies score structurally worse than retail companies, partly due to the complexity of the questions and higher peak times. Digital channels such as chat and WhatsApp are increasingly being used to reduce telephone pressure.
An important insight: waiting time is not just a capacity problem. In many cases, poor routing is the real cause. Customers end up in the wrong department, get transferred and start over. Each transfer actually counts as a new wait time. Those who optimize routing reduce the perceived wait time without additional staff.
How do you measure whether your customer service is truly efficient?
Your customer service is truly efficient if you can reduce the cost per contact while maintaining or increasing customer satisfaction. The most reliable way to measure this is to analyze FCR, AHT and customer satisfaction scores together, supplemented by insight into contact volume per reason.
Many teams measure how quickly they respond, but not why customers contact them. That’s a blind spot. If you don’t know what questions are asked the most, you also can’t determine which processes you can automate or simplify. So measuring efficiency starts with contact reason analysis.
A practical approach to measuring true efficiency:
- Categorize incoming contacts by reason (not just channel)
- Calculate the average handling time by category
- Compare FCR by category with customer satisfaction score
- Identify the top five contact reasons that generate the most volume
- Determine what percentage of those contacts are avoidable through better self-service or proactive communication
Teams that do this structurally often discover that twenty to thirty percent of their contact volume is avoidable. That’s an immediate gain in cost and employee satisfaction.
Why do so many customer service teams score lower than they think?
Customer service teams overestimate their own performance because they measure what is available internally, not what the customer experiences. Internal systems record calls that take place, but not the customers who drop out, don’t call back or quietly switch to a competitor.
There are three structural blind spots that cause this:
- Fragmented data: telephone, chat, email and WhatsApp are measured separately. The customer who contacts three times through different channels about the same problem counts internally as three successful contact moments.
- No view of the customer journey: what happened before contact, such as an unclear letter, an incorrect invoice or a failed self-service, is not included in performance measurement.
- Satisfaction measures with selection bias: customers who complete a survey are more likely to be satisfied than those who do not. The dissatisfied ones are already gone.
As a result, teams steer by numbers that paint too positive a picture. In practice, the gap between internally measured performance and actual customer experience is wider than most managers expect.
What technology are the best-performing contact centers using?
The best-performing contact centers in 2026 operate with integrated omnichannel platforms that bring all channels together in one environment, complemented by AI-driven routing and intelligent self-service. The differentiation is not in one tool, but in the cohesion between systems.
Specifically, you see the following technologies recurring at leading contact centers:
- Omnichannel contact center platforms: telephony, chat, email, WhatsApp and social media in one interface, eliminating the need for employees to switch between screens
- Intelligent IVR and voice recognition: customers are routed based on their demand, not a menu of options
- AI assistants for self-service: chatbots and voicebots handling frequently asked questions outside office hours
- Agentic AI for back office automation: self-thinking digital assistants that not only follow instructions but take initiative and act independently, such as retrieving customer data, processing requests or triggering follow-up actions
- Real-time dashboards and analytics: central overview of all channels, allowing management to manage directly
The common feature of all these technologies is integration. Separate tools that do not communicate with each other do not provide a competitive advantage. The power is in the ecosystem.
How do you quickly improve your position relative to the market?
The fastest way to improve your position relative to the market is to first identify contact reasons and then automate or proactively resolve the top three most common, simplest questions. That immediately frees up capacity for more complex customer contacts.
A realistic improvement approach in three steps:
- Measure what you are not already measuring: start with contact reason analysis across all channels. Without this insight, you improve by feel.
- Close the biggest gaps: identify the three contact reasons with the highest volume and lowest complexity. These are the best candidates for automation or improved self-service.
- Integrate your channels: as long as employees have to switch between multiple systems, you lose time and quality. One integrated platform is not a luxury, but a basic requirement for efficient service.
Improvements don’t have to be big and costly. Small adjustments in routing, better IVR texts or a simple FAQ chatbot can already make a measurable difference in wait times and employee satisfaction.
How Pegamento helps take your customer service to market level
We see daily how organizations struggle with fragmented systems, limited data and staff shortages that put pressure on their service quality. Pegamento offers no costly customization, but smart combinations of proven modules that help you move forward quickly and concretely.
What we can do for you:
- Merging all channels into one omnichannel platform so employees always have the full customer view
- Implement intelligent routing that brings customers directly to the right employee
- Deploy AI-driven self-service for frequently asked questions, including outside office hours
- Set up real-time reports and dashboards that finally give you insight into what’s really going on
- Deliver everything under one roof, from implementation to management and support, without complex vendor structures
We are ISO 27001 certified (information security), complemented by ISO 9001 and ISO 26000, so you know you are working with a reliable partner who takes quality and responsibility seriously. Wondering where your customer service is now and what it takes to make the step to market standard? Check out our contact center solutions or contact us directly for a no-obligation consultation.
Frequently Asked Questions
Hoe vaak moet ik mijn klantenservice benchmarks herzien om relevant te blijven?
Marktstandaarden verschuiven, dus het is aan te raden om je benchmarks minimaal twee keer per jaar te evalueren en te vergelijken met actuele branchecijfers. Kwartaalrapportages intern zijn ideaal om trends tijdig te signaleren voordat achterstanden te groot worden. Koppel deze evaluaties aan concrete actieplannen, zodat benchmarking niet alleen een meetmoment is maar ook een verbeterimpuls.
Wat is een realistisch tijdspad om van onder de marktstandaard naar het marktniveau te komen?
Voor de meeste organisaties is een periode van zes tot twaalf maanden realistisch om meetbare verbeteringen te boeken, afhankelijk van de huidige situatie en de beschikbare middelen. Snelle winsten zoals betere routering, verbeterde IVR-teksten of een eenvoudige FAQ-chatbot zijn vaak al binnen één tot drie maanden te realiseren. Structurele verbeteringen zoals een volledig geïntegreerd omnichannel platform vragen meer tijd, maar leveren ook duurzamer resultaat op.
Hoe betrek ik mijn medewerkers bij het verbeteren van KPI's zonder weerstand te creëren?
Transparantie is hierbij de sleutel: deel de benchmarkresultaten openlijk met het team en betrek medewerkers actief bij het identificeren van knelpunten, want zij zien dagelijks waar het misgaat. Zorg ervoor dat KPI’s worden gepresenteerd als verbeterinstrumenten en niet als controlemiddelen, zodat medewerkers ze als steun ervaren in plaats van als druk. Teams die mede-eigenaarschap voelen over de cijfers, presteren aantoonbaar beter en zijn meer gemotiveerd om verbeteringen door te voeren.
Welke veelgemaakte fout moet ik vermijden bij het opzetten van een omnichannel platform?
De meest voorkomende fout is het simpelweg samenvoegen van bestaande losse kanalen zonder de onderliggende processen en routeringslogica opnieuw in te richten. Een omnichannel platform werkt alleen optimaal als de klantdata, contacthistorie en afhandelingsprocessen ook daadwerkelijk geïntegreerd zijn, niet alleen de interface. Begin daarom altijd met een procesanalyse voordat je de technologie implementeert, anders automatiseer je bestaande inefficiënties in plaats van ze op te lossen.
Is AI-gedreven selfservice ook geschikt voor organisaties met complexe of gevoelige klantvragen?
Ja, maar de inzet vraagt om een doordachte afbakening van wat de AI wel en niet afhandelt. Voor complexe of gevoelige vragen, zoals klachten, juridische kwesties of emotioneel beladen situaties, is een naadloze overdracht naar een menselijke medewerker essentieel en moet de AI dit tijdig herkennen. De beste resultaten worden behaald wanneer AI de eenvoudige, repetitieve vragen volledig afhandelt en zo capaciteit vrijmaakt voor medewerkers om zich te focussen op de situaties waar menselijk contact echt het verschil maakt.
Hoe weet ik welke contactredenen het meest geschikt zijn voor automatisering?
De beste kandidaten voor automatisering zijn contactredenen die hoog in volume zijn, laag in complexiteit en waarbij de klant weinig emotionele betrokkenheid heeft, zoals statusinformatie, adreswijzigingen of standaard FAQ-vragen. Begin met een contactredenanalyse over minimaal drie maanden om betrouwbare patronen te ontdekken en rangschik de redenen op volume én afhandeltijd. Vermijd het automatiseren van contacten waarbij de klant al gefrustreerd is of waarbij maatwerk noodzakelijk is, want een slecht geautomatiseerd proces verergert de klantbeleving in plaats van het te verbeteren.
Wat is het verschil tussen CES en NPS, en welke metric is het meest waardevol voor mijn klantenservice?
De Customer Effort Score (CES) meet hoeveel moeite een klant moet doen om geholpen te worden en is daarmee de meest directe indicator van de kwaliteit van jouw serviceprocesen, terwijl de Net Promoter Score (NPS) de algehele loyaliteit en aanbevelingsbereidheid van de klant meet en daarmee een breder beeld geeft van de klantrelatie. Voor operationele sturing binnen de klantenservice is CES doorgaans waardevoller, omdat het direct aangeeft waar het contact wringt en waar processen verbeterd kunnen worden. Gebruik NPS als strategische thermometer op organisatieniveau en CES als tactisch sturingsinstrument op team- en procesniveau.
