What Is An Outbound Call? Call Centre Best Practices
If you’re an outsourced contact centre dealing with high-volume calls, outbound calling campaigns are vital for driving business growth, acquiring new customers, and nurturing existing relationships. However, executing an effective outbound strategy requires careful planning, the right tools, and a deep understanding of best practices.
In this guide, we’ll explore the essential elements for mastering outbound calling in your call centre.
What Are Outbound Calls?
Understanding the different types of outbound calls before turning your attention to strategy is crucial. The various objectives behind outbound calling initiatives are important to consider:
Sales and Lead Generation: The bread and butter of outbound efforts are often sales calls and lead qualification, whether it’s cold calling for new business or upselling/cross-selling to existing customers.
Market Research: Outbound surveys provide invaluable market intelligence, gathering insights into consumer behaviour, product feedback, and industry trends.
Customer Experience: Proactive outreach can enhance the customer experience by addressing issues before they escalate and gauging satisfaction through post-transaction surveys.
While the specific goals may differ depending on use cases, successful outbound strategies share a common foundation: aligning the right tactics to your unique business needs.
What Can a Strong Outbound Calling Strategy Achieve?
A well-planned outbound strategy, coupled with the right technology, can significantly benefit your business:
| Boost brand awareness and lead generation | Proactively reach a wider audience, introduce your brand, and generate a pipeline of qualified leads. ||-------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|| Strengthen customer relationships and drive retention | Nurture existing relationships with personalised outreach, exclusive promotions, and addressing potential concerns. || Gather valuable market research and sales data | Conduct market research to gain insights into customer preferences and buying habits, ultimately giving you a competitive edge. || Targeted communication for specific campaigns | Execute targeted campaigns for customer satisfaction surveys, new product launches, and more. |
Optimising Call Centre Technology: Inbound vs. Outbound
While the right technology is crucial for both inbound and outbound calls, their needs differ. Inbound centres focus on agent workflow and empowering customers (think IVR and call routing). Outbound centres prioritise lead generation and call efficiency (think predictive dialers and ACD). For centres handling both, a comprehensive, integrated solution is key.
Make Outbound Calling Successful with Powerful Technology
We’ve established that the right contact centre software is make or break when it comes to outbound calling. But which features and capabilities should you prioritise if you’re looking to boost results of your outbound campaigns?
Auto Diallers: Boost agent productivity with an outbound dialler that connects them directly to live prospects, eliminating wasted time on unanswered calls.
Call Recording: Use call recordings to identify coaching opportunities and help agents refine their communication skills and objection handling techniques.
CRM Integration: Painless CRM integration provides agents with a centralised view of customer information, enabling personalised conversations and stronger relationships.
Automatic Call Distribution (ACD): Intelligent call routing means every call is directed to the most qualified agent based on skills, language proficiency, and availability.
Answer Machine Detection (AMD): Avoid wasted time on answering machines by using AMD technology to identify and skip over voicemails.
Dynamic Call Scripting: Empower agents with flexible, interactive call scripts that can adapt to each conversation while maintaining consistency and accurate data capture.
Outbound Skills-Based Routing: Match customers with agents who possess the most relevant expertise, encouraging rapport and efficient resolution.
Data Management: Use data segmentation tools to target the right audience and prioritise contacts most likely to convert, optimising your outreach efforts.
Outbound Calling Best Practices
When it comes to outbound activity, utilising the right technology alone isn’t enough. Successful outbound strategies also rest on implementing proven best practices:
Planning and Preparation
Clearly define campaign objectives and target your call lists to match.
Develop call scripts that act as flexible conversation guides, not rigid scripts.
Ensure compliance with relevant regulations, such as obtaining necessary consent.
Agent Skills and Training
Refine agents’ communication abilities, focusing on active listening, empathy, and objection handling.
For sales campaigns, provide comprehensive product knowledge training.
Measuring Your Outbound Calling Performance
Measuring the success of outbound calling must look beyond the number of calls made. Tracking relevant KPIs helps you to achieve two things. Firstly, it gives you valuable insights that enhance the effectiveness of your campaigns. Secondly, it empowers you to make data-driven decisions for continuous improvement.
Key KPIs to Track for Outbound Calling Success
Here are some of the essential KPIs you should monitor to gain a comprehensive understanding of your outbound calling performance:
Connect Rate: Measure the percentage of your outbound calls that reach live prospects. A high connect rate indicates efficient dialling strategies and minimal wasted time on busy signals or unanswered calls.
Average Handle Time (AHT): Track the average duration of your outbound calls. While a lower AHT might seem ideal, it’s important to consider the context of your campaign goals. For example, a complex sales call might naturally have a higher AHT compared to an appointment scheduling call.
Conversion Rate: This is the golden metric for many outbound calling campaigns. Measure the percentage of calls that achieve your desired outcome, such as a completed sale, appointment booked, or survey completion.
First Call Resolution (FCR): Track the percentage of customer issues resolved during the initial call. A high FCR indicates efficient problem-solving by your agents and minimises the need for frustrating callbacks for customers.
Customer Satisfaction Ratings: Customer feedback is invaluable. Regularly monitor customer satisfaction ratings to gauge their perception of your outbound calling experience. Positive ratings indicate a well-executed strategy, while negative feedback highlights areas for improvement.
Enhance your outbound calls with MaxContact
Successful outbound calling is a continuous process. By acting on the insights gained from tracking KPIs and consistently refining your approach based on data and best practices, you can transform your outbound calling operation so that your activity consistently delivers exceptional results.
MaxContact is a leading provider of outbound call software, combining powerful diallers with reporting, AI, and optimisation tools. Our cloud-based outbound solution can simplify your call centre operations and boost productivity.
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Whether you’re looking to supercharge sales, streamline debt collection, or elevate customer service, the right outbound dialler can redefine how you connect and communicate. So, continue reading to learn more about automated diallers and discover the potential they hold for your contact centre’s success
So, what’s an outbound dialler?
Put simply, outbound dialling is the process of making calls to customers or contacts, typically for sales or marketing purposes.
While outbound dialling can be performed manually on a mobile or business phone, this is not practical when dealing with a high volume of calls. A range of additional features can enhance outbound calling in a contact centre setting through the use of an automated dialler.
What does an outbound dialler do?
An outbound dialler is generally a cloud or software solution that automatically dials phone numbers and makes calls on behalf of your sales, collection or customer service teams. As such, it’s an essential ingredient in any organisation where you need to make outbound calls to clients and prospects throughout the day.
What are the different types of call centre diallers?
The main options are a manual dialler and an auto dialler.
Manual Dialler
A manual dialler is like a traditional phone. A call agent manually dials numbers from a call list, one after another.
Auto Dialler
As the name suggests, an auto dialler automates much of the dialling process. It digitally dials numbers, and can also dial multiple numbers at once, passing answered calls to available agents.
Manual vs Auto Dialler
Why would you choose one over another? Most call centres now opt for auto dialling, because it significantly boosts productivity. Agents spend more time talking to customers and less time dialling unresponsive numbers.
Manual dialling can still be useful, but only for campaigns involving a small number of high value customers who demand a more personal approach.
The different outbound dialler modes
If you’re using an auto-dialler, there are likely three dialler modes that you’ll frequently use, depending on the type of outbound calling you are doing. These are predictive diallers, progressive diallers and preview diallers.
What is it? When most people think of outbound dialling software, they tend to think of predictive dialling. Predictive dialling places calls based on the software’s predictions of agent availability. It dials multiple numbers simultaneously, so that when agents finish one call they can be instantly connected to the next.
What are the benefits? The best predictive diallers minimise abandoned calls (and the amount of time customers spend on hold) and maximise the time your agents spend having conversations. When should I use it? Predictive dialling is the standard for straightforward, high volume sales campaigns (like commodity sales) or debt collection activity.
What is it?Progressive diallers are predictive diallers that slow the pace down by only dialling a number when an agent is available to take the call. Dialling is instant and automatic, so the system still allows for a relatively high number of calls.
What are the benefits? Progressive dialling eliminates the risk of customers abandoning calls or waiting a frustratingly long time before being connected to an agent. Because an agent is always available, the customers you have painstakingly nurtured over a period of time feel valued and importan
When should I use it? It is often used in campaigns that target current customers. It’s a low risk option that can improve customer experience and effectively help agents upsell additional products and services.
What is it? A preview dialler takes the pace down another notch. When an agent indicates availability, information about the next call is sent to the agent for preview.
After a set amount of time – say, one minute – the number is automatically dialled. This delay lets the agent prepare for the call, using information typically taken from the company CRM system – which are often integrated into the dialler.
What are the benefits? Agents can have more in-depth, focused conversations, based on a customer’s real experiences and challenges. It can improve customer experience and increase the number of positive outcomes.
When should I use it? Preview diallers are particularly helpful when the reason for the call is complex or sensitive. For example, following up with web leads or dealing with customer complaint calls.
Outbound diallers can be integrated into many industries. Any company with an outbound contact centre who are cold calling or making high volume phone calls can benefit from outbound dialler software.
Power up your sales teams
Sales campaigns are often high volume and low touch. Predictive dialling is the gold standard for straightforward, high volume outbound campaigns (like commodity sales). It can quickly and efficiently work through large datasets, making sure leads are contacted while they’re still warm.
The best predictive diallers minimise abandoned calls (and the amount of time customers spend on hold) and maximise the time your agents spend having conversations. They can be set to play messages if they meet an answerphone, and will recycle numbers (placing unanswered calls back into the call queue) in a way that ensures your customers or leads are contacted, but never pestered.
The right outbound dialler can make selling straightforward by helping to connect your sales people to the right customers at the right time. Combined with the contact centre-specific features mentioned earlier, it can offer powerful tools for contacting customers, winning business and exceeding customer expectations.
Increase debt collection rates
Your credit and debt resolution teams can use effective targeting to reach priority customers at times that suit them. Maximise collection rates using advanced data segmentation and encourage self-serve with automated communications. Automate payments with self-serve options providing customers choice and improving satisfaction.
Preview diallers are particularly helpful when the reason for the call is complex or sensitive. For example, debt collection calls are more likely to end positively if agents have the time to gather all the information they need beforehand.
Elevate your customer service teams
Customer service teams often use progressive dialling to target current customers with after sales information or courtesy communications. It’s a low risk option that can improve customer experience, help nurture loyalty and effectively help agents upsell additional products and services. Because an agent is always available to have a conversation, the customers you have painstakingly nurtured over a period of time feel valued.
5 must-have outbound dialler features
Answer Machine Detection (AMD)
Answer Machine Detection (AMD) lets your auto-dialler software identify answering machines before connecting calls to agents. This means agents only spend time on live conversations, saving them valuable time and boosting productivity.
AMD is particularly helpful for high-volume sales campaigns where every minute counts. MaxContact’s AMD boasts a 90% success rate in detecting answering machines, freeing up agents to focus on reaching real people.
Speech analytics
Forget manually reviewing call recordings! Speech analytics uses AI to analyse every conversation, automatically identifying customer sentiment, call quality, and agent performance. This lets you:
Spot frustrated or vulnerable customers who need extra care.
Ensure agents follow compliance guidelines.
Understand what customers are saying about your products and competitors.
Speech analytics gives you valuable insights from all calls, not just a select few. It saves time and helps you improve the overall performance of your contact centre.
A secure payment manager
A secure payment IVR gives customers the payment options they want, while giving teams the time they need to deal with more complex or sensitive cases.
Payment automation helps you speed up debt collection and improve cash flow. When you give customers more convenient ways to pay, they’re more likely to stick to payment schedules.
MaxContact’s payment IVR is fully PCI compliant, protecting customer information at all times. We offer both assisted payments, in which staff safely guide customers through the payment process, and automated payments, which are fully self-serve and available 24/7.
Analytics and reporting
You can only improve contact centre performance when you can measure it. When you’ve done that, you need to present the data in a way that is easy to understand and act on. That’s where analytics and reporting come in.
MaxContact’s pre-configured reporting gives you complete visibility around productivity, issue resolution rates, revenue and customer satisfaction, to name just a few. You can set targets for campaigns, channels, teams and agents and track performance over time.
All teams – sales, service and debt resolution – benefit from better information. Pre-configured reports give you the data you need in the quickest and most hassle-free way.
Easy integration
A powerful dialler is even better when it works hand in hand with your existing systems. Imagine a sales agent having instant access to customer history, preferred contact methods, and past feedback – all within the dialler interface (thanks to CRM integration).
This allows for personalised conversations that address specific needs, leading to happier customers and improved outcomes. Easy integration applies to after-sales and debt resolution teams too. By connecting your dialler with other systems, you can put all relevant information at agents’ fingertips, reducing hold times and boosting overall efficiency.
The benefits of auto-dialler software you can’t ignore
Improve contact centre metrics like AHT
Average Handling Time (AHT) is a calculation based on the time agents spend talking to a customer, the amount of time callers are on hold and the time taken on follow up tasks, divided by the number of calls handled. The lower your AHT, the better. It means you can handle more calls, improve efficiency and reduce costs. A good dialler can improve AHT and a host of other contact centre metrics, by allowing agents to handle more calls, more efficiently.
Excel at sales and debt collection
Whether it’s sales or debt collection, the best results happen when good agents talk to customers. Whether it’s a high volume, low touch sales campaign, or more sensitive debt resolution calls, the right dialler means your agents spend more time in conversation with customers, and less time processing unanswered calls or connecting to answering machines.
Keep your contact centre compliant
A powerful predictive dialling algorithm speeds up and slows down depending on the conditions in your contact centre. If fewer agents are available, the dialling slows down, helping to ensure you stay within compliant boundaries for abandoned and dropped calls. Or you can switch to progressive or preview modes for more personal contacts. The dialler can also ensure that the frequency of calls to a contact never exceeds official limits.
Seamlessly integrate with your CMS
A dialler that integrates with your CMS system is a huge advantage. It means that the systems feed information to each other, so your agents always have the details of previous contacts at their fingertips. That reduces the risk of customers becoming annoyed by having to repeat information they’ve already previously given. It can also provide insights into customer satisfaction rates, preferred times and methods of communication and so on.
These companies boosted performance with auto diallers
We worked with these companies to replace ageing systems with modern cloud-based diallers – and the results are impressive.
Compare My Insurance
Compare My Insurance is one of the largest independent insurance and protection specialists in the UK. But dialler downtime, data issues and missed opportunities were hampering the business.
MaxContact’s dialler solution integrated seamlessly with the company back office systems. It has significantly increased contact rates while providing complete transparency around performance and progress.
APJ Solicitors
APJ Solicitors, a leading financial mis-selling specialist, needed to increase call volumes and boost efficiency, but its basic VOIP phone system was no longer up to the task.
MaxContact’s solution increased call volumes by 110% in the first year, and improved average agent call efficiency by 36%. Productivity has risen five fold over the company’s previous solution.
Improve your call centre performance with MaxContact
MaxContact offers the most sophisticated outbound dialler currently available. This continually improving cloud-based dialling solution gives you the flexibility to run your contact centre your way, letting you choose the right blend of productivity and compliance for your business needs. With over a 1,000 unique features, MaxContact’s outbound dialler helps meet your contact centre challenges in new and powerful ways.
Contact centres can be high-pressure environments, with plenty of challenges to tackle; managing customer interactions, staying compliant and helping agents perform at their best, to name a few. That’s where speech analytics comes in.
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By recording and transcribing 100% of customer conversations, analysing sentiment, categorising topics and ranking agent performance, speech analytics helps contact centre leaders uncover actionable insights, make smarter decisions and optimise business operations.In this article, we’ll explore 10 practical ways our speech analytics platform can be used to transform the way contact centres work. From improving compliance checks to empowering agents and enhancing sales strategies, there’s a lot to gain from this powerful technology.
1. Speeding up call quality assessments
In traditional quality assessments, quality assurance (QA) teams are often required to listen to hundreds of call recordings to evaluate, understand agent-customer conversations, and assess the quality of the call. This manual process is time-consuming, especially for call centres dealing with high call volumes.
Speech analytics speeds up the QA process by transcribing speech-to-text, with every call transcribed into a full text version. Thanks to text transcriptions, QA teams can read through calls – which takes 50% less time than listening to them. This is because QA teams can skip directly to specific points in the conversation that need attention.
By searching within transcripts for specific phrases or keywords, it is much easier and quicker to find sections where issues have arisen, saving significant time but without sacrificing detail.
2. Keyword tracking for compliance
Staying compliant is crucial for contact centres, particularly in industries with strict regulations such as sales, collections, or finance. Agents often need to say specific phrases or mandatory statements during calls – for example, those required by the Financial Conduct Authority (FCA) or Ofcom guidelines.
MaxContact’s Spokn AI makes compliance easier to monitor and achieve, as it can be set up to track and filter certain keywords across all call transcripts. Compliance teams can set up the software to flag calls where those important phrases are missing or not used correctly.
This means you can quickly spot and fix potential compliance issues without spending hours manually checking calls. It’s a simple way to reduce risks, save time, and make sure your team is consistently ticking all the right boxes.
3. Keyword tracking for vulnerability detection
Contact centres need to identify and provide special care for vulnerable customers, such as those who express concerns related to financial or emotional hardship. This is where the ability to search for phrases or mandatory statements across transcripts once again supports the process.
Using speech analytics and keyword filtering, it is possible to detect sensitive language within conversations, flagging words and phrases that may indicate vulnerability. By automating this process, speech analytics software helps agents and supervisors identify potentially vulnerable customers quickly, allowing them to respond with empathy, follow specific support protocols, or even escalate the conversation to a specialist.
This targeted approach improves customer care and means vulnerable individuals receive the assistance they need.
4. Optimising sales playbooks
For sales and collections teams, the ability to handle customer objections effectively can have a huge impact on call outcomes. This is where speech analytics steps in to give agents an edge. By analysing call topics, customer objections and sentiment trends, tools like speech analytics can help call centre supervisors to uncover what’s working (and what’s not) in customer interactions.
Senior call centre leaders can use these insights to tweak call centre scripts, refine sales tactics and even create “battlecards” to tackle competitor comparisons head-on. These resources and insights are then shared with call agents.
On top of that, speech analytics can indicate how call agents respond to objections by looking at phrase level sentiment, helping pinpoint successful techniques and areas for improvement. With these insights, teams can continuously optimise their playbooks, leading to smoother calls, better outcomes and more conversions.
5. Improving agent performance through sentiment analysis
Helping agents improve starts with understanding where they might be struggling or excelling. Sentiment analysis does this by breaking conversations into phrases and identifying words of positive or negative sentiment post-call. It draws attention to areas where an agent might be lacking empathy, patience, or clarity – all key factors that impact how customers feel during a call.
When speech analytics software uncovers calls with high customer frustration or negative sentiment, call supervisors can step in with tailored coaching. Whether it’s working on tone, handling sensitive situations, or improving listening skills, this focused feedback helps agents refine their approach. The result? Happier customers, stronger relationships and call agents who feel more confident.
6. Identifying what works well to amplify success
Improvement is important, but so is recognising what’s already working. Speech analytics helps teams to see moments of positive sentiment in calls, showing where call agents have handled objections and sensitive interactions effectively, striking the right chord with customers.
By considering the ‘why’ behind these successful interactions, managers can uncover tactics, language, or approaches that deliver great results time and time again. These insights can be shared across the team to raise everyone’s game, and they’re also an important resource for marketing or sales teams.
Whether it’s refining scripts or crafting new campaigns, using proven techniques ensures greater consistency and impact across your contact centre.
7. Driving operational efficiencies
Efficiency is key in contact centres, but it shouldn’t come at the expense of quality. Speech analytics helps strike the perfect balance, with tools like call summaries, topic detection and sentiment analysis. These features allow call centre supervisors to identify common call topics and recurring customer issues.
Armed with this data, managers can design targeted training and streamline processes to ensure agents are ready to tackle frequent queries right away. This leads to fewer call transfers and more first-call resolutions, cutting down handling times while boosting customer satisfaction. The outcome is a more efficient operation that saves time, resources and costs – all without compromising on quality.
8. Gaining insight into team dynamics
Understanding your team’s performance isn’t just about numbers or individual performance – it’s about seeing the bigger picture. With speech analytics, call centre managers have a clearer view of overall team performance and can break down calls by agent, objection type or campaign. This level of detail helps uncover collective team performance as well as each agent’s individual strengths and areas where they may need extra support.
By tracking objection trends, comparing metrics across agents and teams, and analysing how individuals handle challenging situations, call centre leaders can make coaching much more targeted. Instead of a one-size-fits-all approach, these data-driven insights allow team leaders to tailor their feedback, helping every agent play to their strengths while improving in areas where they struggle. This leads to a more skilled, confident and well-rounded team.
9. Empowering agents to self-improve
Speech analytics isn’t just a tool for managers – it’s also a powerful way to help agents grow and improve. With features like call recaps, sentiment insights, and objection tracking, managers can share clear, objective feedback based on real data from their agents’ interactions.
By providing tailored feedback, managers can help agents spot patterns, identify areas for improvement and refine their skills – whether it’s handling objections more effectively, improving tone, or building stronger rapport with customers.
This personalised coaching creates a sense of accountability and motivates agents to continuously grow.
With clear, actionable feedback, agents can deliver better customer experiences and contribute to the team’s success. Plus, happier, more capable agents are less likely to burn out, which helps reduce turnover and maintain a strong team.
10. Conducting market research to inform growth strategies
Spokn AI is a powerful tool for uncovering what your customers really want. By evaluating recurring topics and sentiment trends across conversations, it helps contact centres build a clear picture of customer needs, preferences and pain points.
With advanced topic detection and transcription capabilities, speech analytics empower businesses to spot emerging trends and patterns that might not be immediately obvious. Whether it’s identifying new product demands, spotting service gaps, or understanding shifts in customer sentiment, these insights are invaluable for shaping future strategies.
This customer-first approach gives contact centres a new-level of visibility into customer information. Often, customer information is recorded in siloed notes (particularly in hybrid working environments) making them inaccessible at a top data level. Speech analytics aggregates and analyses conversations, uncovering actionable insights into sentiment, trends and preferences. This enables businesses to adapt to market changes, create targeted campaigns and design products and services that truly meet customer needs.
Speech analytics is powerful software that makes the way for smarter, more efficient and more impactful operations in your contact centre. By analysing 100% of customer interactions, platforms like Spokn AI offer insights that help tackle the unique challenges of a fast-paced call centre floor, from improving compliance and agent performance to refining sales strategies and uncovering customer needs.
The key to success lies in using these insights to take action: refining processes, tailoring coaching and aligning your strategy with the data. Not only does this lead to better outcomes for your team and business – it also creates a stronger, more positive experience for your customers too.
As customer expectations grow and contact centres become more complex, embracing speech analytics tools can give you the clarity, confidence and competitive edge you need to thrive.
By leaning into the capabilities of speech analytics, you’re not just keeping up; you’re staying ahead.
Blog
5 min read
Call Centre Quality Monitoring: Why Sampling Isn't Enough
Quality assurance is one of the most compliance-critical functions in any contact centre, and one of the most under-resourced. For most operations, the gap between what QA teams can review and what regulators now expect to see evidenced has never been wider.
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Most contact centres review a small fraction of their calls. A QA analyst picks a handful, scores them, flags what went wrong, and then moves on. It feels like it ticks the box for quality assurance. But for Ofcom-regulated telecoms operations and FCA-regulated financial services firms, it’s not enough, and the consequences of getting it wrong have never been higher.
This article explains why call sampling creates compliance exposure, what always-on monitoring looks like in practice, and what to look for when evaluating your current approach.
What is call quality monitoring?
Call quality monitoring is the process of reviewing agent-customer interactions to assess whether they meet your quality, compliance, and performance standards.
It typically covers:
What was said and how the agent handled the conversation
Whether compliance scripts and protocols were followed
How vulnerable customers were identified and managed
Whether the outcome was appropriate for the customer
How performance compares against your scoring framework
When call quality monitoring is done consistently, it gives you a documented evidence-base across every call type, agent, and campaign. But when it’s done poorly or too infrequently, it leaves gaps that regulators are increasingly likely to find before you do.
How do most contact centres currently monitor calls?
Sampling is the typical approach many call centres take to monitoring calls. A QA reviewer listens to a set number of calls per agent per month, scores them against a framework, and feeds the results back into coaching. It is time-consuming work, so let’s break down the numbers.
Example:
A single reviewer handles 50 calls a month at 30 minutes per call.
This amounts to 25 hours of review time.
And it is still only a fraction of the total call volume reviewed.
The problem here is not the effort; it's the coverage. On average, contact centres manually evaluate 5% of calls per week, meaning many QA operations are leaving the majority of interactions unreviewed. This means:
You don’t know whether your agents are consistently identifying vulnerable customers.
You don’t know whether compliance scripts are being followed on the calls you did not pick.
You are not building an evidence bse, only a small sample.
Manual call sampling statistics
FCA Consumer Duty: you need evidence across every interaction, not a snapshot
For debt collection, insurance, and other FCA-regulated contact centres, the stakes are different but the problem is the same. Consumer Duty requires firms to demonstrate they are delivering good outcomes for retail customers, not just on the calls they reviewed, but consistently and measurably across their entire operation.
The FCA has shifted decisively from implementation to enforcement. Regulators are no longer asking whether you have a quality monitoring process. They are asking whether you can prove, with documented evidence, that your agents are handling vulnerable customers correctly, following compliant scripts, and not causing foreseeable consumer harm. And that’s for every call, not just the ones you checked.
A sampling approach does not produce that evidence. It produces a snapshot.
For more on what the FCA now expects from contact centres in financial services and debt collection, see our Consumer Duty guide.
The problem with call sampling: A Summary
Sampling typically covers around 5% of calls per week, leaving the 95% of interactions unreviewed and unverifiable
Compliance drift happens slowly. By the time sampling catches a behaviour, it is already established and harder to coach out
Poor agent behaviour on outbound calls can go undetected long enough to trigger carrier blocking or an FCA flag
Vulnerable customers may not be identified correctly on calls you never reviewed
Good performance goes unrecognised as you cannot replicate what you cannot see
A sample tells you what happened on the calls you chose to review. It does not tell you what is happening in your operation
From sampling to monitoring: what's actually required
Moving from sampling to consistent call monitoring is not simply a matter of reviewing more calls. It requires the right infrastructure in place, and historically, that infrastructure was either too expensive, too time-consuming, or both.
At a minimum, always-on monitoring requires:
Call recording across all interactions, not just selected campaigns or call types
Transcription that converts voice to text accurately enough to be reviewed and searched at scale
A platform that connects recording, transcription, scoring, and reporting in one place rather than across multiple disconnected tools
Without all three, monitoring at scale either falls back on human reviewers (which is where the 25-hours-per-50-calls problem comes back in) or produces data too inconsistent to be useful as a compliance evidence base.
MaxContact's Conversation Analytics brings all of this together in a single platform. Call recording, real-time transcription, and reporting sit alongside each other. This gives your QA team a single place to monitor, review, and evidence what is happening across every interaction, without stitching together multiple tools or managing separate systems.
The reason most contact centres have defaulted to sampling is not because they did not want better coverage. It is because the operational cost of achieving it manually was prohibitive. A team large enough to review every call would cost more than most mid-market operations can justify. But that has changed.
How Conversation Analytics makes always-on monitoring feasible
Conversation Analytics is the platform that makes consistent, always-on call monitoring operationally viable for mid-market contact centres.
Rather than relying on a QA team to manually select, listen to, and score calls, Conversation Analytics connects call recording, transcription, scoring, and reporting in a single platform – automating quality assurance. Every interaction is captured, transcribed, and made reviewable, giving your QA team complete visibility across all call types, all agents, and all campaigns without the resourcing overhead of manual review at scale.
The cost comparison is significant. Replicating meaningful call coverage with human reviewers alone would cost an estimated £14,000 per month in analyst time for a mid-sized contact centre. Conversation Analytics delivers that coverage at a fraction of the cost, freeing your QA team to focus on coaching, calibration, and the complex calls that genuinely need a human eye.
How AI call monitoring surfaces insights faster
AI is what makes the insights from always-on call monitoring actionable rather than overwhelming.
Without AI, full call coverage creates a different problem; more data than a QA team can meaningfully review and act on. AI-powered call monitoring solves that by doing the heavy lifting on routine scoring, so your team's attention goes where it matters most.
Benefit
What it means for your operation
Structured scorecards answered automatically
Every scorecard question is answered using transcript evidence; no manual listening, no reviewer subjectivity.
Transcript-linked evidence
Every score links back to the exact exchange that informed it, giving you a defensible audit trail.
Faster review cycles
Review time drops from 30 minutes to 5 minutes per call, recovering around 4 days of analyst time every month.
Consistent scoring across your entire operation
The same criteria, applied the same way, across every agent, call type, and campaign every time.
Human oversight built in
Your QA team reviews outputs, calibrates scoring, and focuses on complex calls. AI handles the routine. Governance stays with your team.
The result is not just faster QA. It is a more reliable, more defensible evidence base built on every call, not a sample of them.
What to look for in your call quality monitoring approach
Is your evidence transcript-linked? Generic summaries are not a defensible evidence base. Scoring decisions need to be traceable back to what was actually said.
Is your scoring consistent? If different reviewers score the same call differently, your evidence has a credibility problem. Consistent scoring logic applied across all interactions removes that subjectivity.
Does your QA sit within your analytics platform? If scoring, feedback, and reporting live in separate tools, you create friction and risk. Everything should be in the same place.
Is human oversight built in? Your QA team should be able to review, challenge, and calibrate outputs. Always-on monitoring supports human-led governance, it does not replace it.
Are you scoring the right calls? Configurable triggers and criteria by call type, queue, campaign, or outcome, mean your monitoring effort goes where the compliance risk is highest.
The question is not whether you can afford to monitor every call
It is whether you can afford not to.
Ofcom and the FCA have both made clear that evidence of compliance needs to be consistent, documented, and demonstrable. A sampling process may satisfy an internal audit. It is unlikely to satisfy a regulator asking for proof of good outcomes across your entire customer base.
Always-on call quality monitoring closes that gap. It gives your QA team better data, gives your compliance function defensible evidence, and gives your operation a consistent view of what is actually happening on the phones across all calls, rather than just the ones you happened to pick.
Download the UK Contact Centre Regulatory Guide 2025–2027 to see how the FCA and Ofcom compliance obligations facing your sector map to your call monitoring approach and what good evidenced practice looks like in both.
Download
5 min read
What UK Customers Really Want from Contact Centres in 2026
We've just published our Voice of the UK Consumer 2026 report — and the picture it paints for contact centre leaders is both urgent and actionable.
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We surveyed 1,000 UK adults who had interacted with a contact centre in the last 18 months. The findings reveal something that goes beyond wait times, channel preferences, and AI adoption. This year, the biggest barrier to customer contact isn't the interaction itself - it's getting consumers to engage in the first place.
The Numbers Don't Lie: Trust Is Now an Operational Problem
Before we get to what consumers want, we have to address what's getting in the way. Our research reveals a structural trust deficit playing out before a single agent picks up the phone.
69% of UK consumers always or often screen calls from unknown numbers
46% have ignored a message from a legitimate company because they assumed it was a scam
Only 22% strongly agree they can tell when unexpected company contact is genuine
77% of those who ignored a legitimate call experienced a real consequence such as a missed appointment, an unresolved problem, a missed payment deadline
This is the Trust Gap: the growing distance between a company's confidence in its own outbound contact and what consumers actually believe when they see an unknown number. It affects every sector with outbound ambitions and it can't be fixed by dialling more.
Call Avoidance Varies Dramatically by Sector
Not all sectors face the same screening wall. Our data shows stark differences in call avoidance rates, and the gap between best and worst performing sectors is significant.
Loans, credit and debt management companies are the most avoided, with 37% of consumers saying they'd be least likely to answer a call from this sector. Insurance follows at 25%, with telecoms, technology, and retail/e-commerce close behind at 22–23%. Banks and building societies fare better at 16% avoidance, and notably, they also hold the highest sector trust score at 96%.
The lesson? Trust and answer rates move together. Sectors that have invested in consumer trust over time are reaping the operational benefits in their outbound performance. Those that haven't are paying the price at the identification gate.
"This data should make every contact centre leader pause," says Ben Booth, CEO of MaxContact. "Consumers broadly trust the sectors they deal with, but that trust doesn't translate into picking up the phone. If consumers can't tell the difference between a legitimate call and a scam, outbound strategies will struggle to deliver."
What Actually Makes Consumers Pick Up
The good news is that the Trust Gap is closable. When we asked consumers what would make them more likely to answer, two things stood out clearly:
82% say they would be more likely to answer if caller ID clearly identified the company name
80.5% say a pre-call text or email would make them more likely to pick up
These aren't aspirational preferences - they're operational levers. The problem isn't the dialler. It's the identification gate. Legitimate contact centres aren't losing the persuasion game. They're often not getting on the pitch.
Contact centres should prioritise:
Branded caller ID and carrier number reputation management - so consumers can recognise your call before they decide whether to answer
Pre-call communication - give consumers a reason to expect your call, especially in high-avoidance sectors
Treating contact frequency as a trust variable -too-frequent contact doesn't just frustrate consumers; in regulated sectors, it carries compliance risk
AI Is Here — But Transparency Is Non-Negotiable
UK consumers have been interacting with AI in contact centres for some time. The problem is, many didn't know it.
87% of consumers believe they've interacted with AI or automation in a recent company contact. Of those, 22% were sure or fairly sure they'd been talking to AI — but weren't aware of it at the time. That's more than one in five consumers who discovered, after the fact, that part of their experience was automated.
Nearly 9 in 10 (88%) consumers say it's important for companies to clearly disclose when AI is being used. Half say it's very important.
"The reputational risk of undisclosed AI is real and avoidable," says Ben Booth. "Consumers aren't opposed to AI - they're opposed to being kept in the dark about it. Deploying AI without disclosure doesn't just frustrate customers; it reinforces the same uncertainty that's causing them to screen your calls."
AI Adoption: Where It Works and Where It Doesn't
Consumer opinion on AI is nuanced. Where AI genuinely adds value, consumers are broadly willing to accept it:
Answering FAQs: 36%
Routing to the right department: 35%
Account updates and billing information: 26%
But the picture reverses sharply when it comes to high-stakes interactions. Over half (54%) say they don't want AI involved in emergency situations. Significant numbers also object to AI involvement in complex account problems (50%), financial discussions (49%) and when negotiating terms (46%).
Crucially, 71% of consumers say they'd be comfortable with AI helping resolve an issue faster — as long as a human agent was available throughout. The acceptance of AI is conditional on a clear, accessible escalation path.
Humans Still Matter Where It Counts
Despite the growth of AI and automation, consumers are clear about when they need a person:
Emergency situations - 41% want a human agent
Complex account queries - 33%
Financial discussions — 29%
Explaining a sensitive or personal matter - 26%
Making a complaint - 23%
These aren't edge cases. An AI that handles a billing query well creates modest goodwill. An AI that mishandles a bereavement disclosure or an emergency can permanently damage a customer relationship.
When things go wrong and complaints happen, consumers care most about: a clear explanation of the outcome (39%), being kept updated throughout (37%), appropriate compensation when the company is at fault (33%), and only having to explain the issue once (31%).
What Builds and Breaks Consumer Trust
Our research shows consistent patterns in what drives contact experience, positively and negatively.
What puts consumers off before they even try:
Long wait times: 36%
Being transferred multiple times: 34%
Difficulty reaching a human: 29%
Having to repeat themselves: 28%
What good looks like:
Quick resolution -36%
Easy access to a human when needed - 35%
Knowledgeable agents - 34%
Clear communication throughout - 32%
On channel trust, email remains the most trusted channel for company contact (51%), followed by phone calls (30%) and letters (27%). For outbound communications that don't need an immediate response, email is still the most credible messenger.
Five Focus Areas for Contact Centre Leaders in 2026
Based on our findings, these are the areas that will have the most impact:
Fix the identification gate: Deploy branded caller ID, carrier number reputation management and pre-call communication. The recoverable opportunity isn't every screened call; it's the willing contacts who are filtering themselves out because they fear scams.
Make AI disclosure the default: Clearly disclose AI use at the start of every AI-assisted interaction. In regulated sectors, it's a compliance requirement. Everywhere else, the reputational risk is reason enough.
Protect the human escalation path : Across every question about AI in this study, the most-cited condition for consumer acceptance was the same: a human must be available and clearly signposted. Design the escalation as carefully as you design the AI.
Treat 'only explain once' as an infrastructure target: CRM integration, context-passing between channels, and warm handoffs are the operational response to the number one complaint driver.
Audit complaint journeys against what consumers actually need : A clear outcome explanation, ongoing updates, appropriate compensation, not having to repeat themselves, and a human presence. These five things determine whether a resolved complaint becomes a trust-builder or a churn trigger.
Want the full picture? The Voice of the UK Consumer 2026 report includes sector-by-sector breakdowns across utilities, telecoms, finance/debt, and insurance — with data on vulnerability handling, AI comfort, complaint experience, and regulatory risk. Download the full report here.
Blog
5 min read
Make Call Reviews Faster, Fairer, and Evidence Backed.
Introducing AI Call Scoring — now included within Conversation Analytics at no additional cost.
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Here’s a number worth sitting with: 30 minutes.
That's how long it takes to manually score one call. Listen back, fill in the scorecard, write up the notes, log the result. Do that 50 times a month and you've lost on average 4 days per reviewer to scoring alone.
Most QA teams know this. They're not slow or inefficient - the maths just doesn't work. One reviewer for every 25 agents, 30 minutes a call, finite hours in the week. Something must give, and that’s coverage. The industry average sits at around 5% of calls reviewed, which means 95% of what happens on your contact centre floor stays invisible.
Not just to your QA team. To your compliance records. To your coaching programme. To the agents who deserve consistent, fair feedback on every call they handle.
That's the problem AI Call Scoring is built to fix.
Your standards applied to every call you wish to score.
The way it works is straightforward. You define your existing QA standards - built around your business rules, your compliance requirements, your definition of what a good call looks like. AI Call Scoring applies them to your selected calls, scoring each one against your criteria using evidence taken directly from the transcript.
No algorithm deciding what good looks like on your behalf. You set the standard.
What this means for your QA team day to day
One of the things that doesn't get talked about enough in QA is how demoralising inconsistency is. Two reviewers score the same call differently. An agent pushes back. The process loses credibility. And meanwhile, the team is so buried in manual scoring that the actual coaching - the conversations that change behaviour -never happen.
AI Call Scoring brings review time down from around 30 minutes to about 5 minutes per call. Your QA team stop being a scoring machine and start doing what they're good at - calibrating standards, making judgment calls, and coaching agents to improve.
For a reviewer handling 50 calls a month, that's roughly four days back every month. That's a lot of coaching time that wasn't there before.
It's not just for big teams
This is worth saying clearly because it matters: AI Call Scoring isn't just a tool for large operations with dedicated QA departments.
For teams of 50 or more agents, the time savings are significant - around 133 days per year across four QA staff, worth approximately £15k in team time. But beyond the hours, scoring more calls consistently means you start seeing the patterns that a small sample will never show you.
For smaller teams of 10 to 30 agents, it's even more of a shift. Structured QA without dedicated headcount. Team leaders reviewing scored calls in minutes. Compliance coverage that doesn't require a compliance team. And a framework that grows with the business.
When compliance is non-negotiable
For contact centres operating in regulated sectors, the stakes have risen. Consumer Duty, now actively enforced by the FCA, places a direct obligation on organisations to evidence that customers are receiving good outcomes.
When a complaint lands, you can't point to a sample. You need evidence that the specific interaction was handled correctly. AI Call Scoring gives you an auditable record of every scored call, with auto-fail rules that catch compliance breaches - a missed disclosure, an incomplete ID check - regardless of how the rest of the call went. Every call you score is evidenced, auditable and defensible.
Your team stays in control
We want to be clear about this: AI Call Scoring is there to support your QA team, not sideline them. Every scored result can be reviewed, edited, challenged or discarded. Your people stay in the loop. The AI does the volume work - your team does the thinking.
It all lives inside Conversation Analytics — scored calls, common objections, objection handling effectiveness, top performers and saved compliance views, together in one place.
Already on Conversation Analytics? It's yours.
AI Call Scoring is included within Conversation Analytics at no extra cost. If you're already using the suite, it's available to you now.
This is also just the start. Automated QA at Scale is coming later this year - fully automated scoring across campaigns at volume. More on that soon.
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