Outbound still pays - your customers just need a smarter approach
High-volume cold calling is losing ground. Here's what a high-performing, data-led outbound strategy looks like - and how to sell it to your customers.
High-volume cold calling based on limited data is no longer a cost-effective outbound strategy and in the B2C world can be non-compliant.
With both sales and debt collection, the public has grown wary of unsolicited calls and generic conversations. But that doesn’t mean outbound dialling is over as a revenue engine.
It means it has to be smarter, multi-channel and data-led. Based on real-time information and a refined dialling strategy. Often personalised in tone, timing and approach.
So, if you’re reselling UCaaS today, there’s a strong chance your customers’ outbound results are being held back by the platform they’re on. When revenues stagnate, contact rates fall or conversions get harder to close, the problem usually isn’t effort - it’s strategy, data and tooling. This blog sets out what a high-performing outbound operation looks like, so you can have that conversation with confidence.
The outbound metrics your customers should be measuring
The foundation of any smart outbound strategy is good information. Help your customers understand that without the right data, they can’t tell whether calls are reaching the right people, whether agents are performing, or whether their scripts are working. Measurement isn’t a nice-to-have - it’s where improvement starts.
Outbound KPIs to share with your customers:
• Connect rates: are calls being connected to a real person?
• Contact rate: how often are agents reaching the right decision-maker?
• Data penetration rate: is their data being used effectively - are they making the most of high-value leads?
• Conversion rate: the percentage of contacts that result in a positive outcome
• Calls to success rate: the number of calls needed per successful result
Take conversion rate as a case in point. It tells your customers two things at once: the quality of their contact data, and the effectiveness of their team.
Better data means a higher likelihood of reaching the right person. Skills-based routing - matching the right agent to the right call- increases that further. And stronger training, combined with more refined scripts, means more of those conversations end the way they should.
Qualitative insight matters as much as the numbers
Quantitative KPIs don’t tell the full story.Improving contact rates will generate more conversations - but without the right skills in place to handle them, conversion rates won’t follow.
Encourage your customers to combine the numbers with qualitative insight: what objections are coming up most, what their customers are saying about competitors, and where conversations are breaking down.Helping them bring both lenses together is one of the most valuable things you can do as a partner - and it’s a conversation most resellers never have.
Industry-specific KPIs worth knowing
The metrics above apply broadly, but it’s worth helping your customers zone in on numbers that are specific to their sector.
In debt collection, promise to pay (PTP - the percentage of calls resulting in a commitment to pay) and percentage of debt collected are key indicators. In sales, first-call close rates and average revenue per call say a lot about campaign effectiveness.
MaxContact’s KPI Benchmark Report gives a detailed breakdown of what good looks like across sectors. It’s a useful resource to share with customers who want to know how their numbers stack up.
Benchmarking: what good looks like
Once your customers know what to measure, the next step is helping them understand what the numbers mean.
MaxContact’s own research found that the largest proportion of respondents - 34%, across both sales and debt collection - reported conversion rates of between 10% and 19%. Cold outbound sales calls typically convert at 1–3%; warmer, more targeted calls can reach as high as25%.
Broad benchmark ranges for common outbound KPIs:
• Average handling time: 4–12 minutes
• Contact rate(cold calls): 5–15%
• First call resolution: 10–40%
These are broad ranges and will vary significantly by sector and product complexity. The more important thing for your customers is to track their own numbers consistently over time - and to understand what’s driving movement in either direction.
What your customers can do to improve outbound performance
Once your customers are tracking the right metrics,the focus shifts to moving them. Here are the levers most likely to make a meaningful difference - and the conversations worth having:
• Team training and coaching - conversation analytics can surface objection patterns, benchmark individual and campaign performance, and show exactly where coaching will have the biggest effect.
• Smarter dialling strategy - when are their contacts most likely to answer? Are they prioritising by lead value? Are they using the right dialler mode for the campaign? These are practical questions you can help them think through.
• Omnichannel engagement - how does combining SMS, email and calls affect contact and conversion rates? Could AI agents handle routine calls while human agents focus on more complex or sensitive interactions?
The performance advantage you can offer your customers
Helping your customers understand and act on their outbound performance data is a powerful way to open the door to a bigger conversation. Standard UCaaS platforms can’t offer the range of insight and capability that a specialist customer engagement solution like MaxContact provides - and once customers seethe gap, the case for change makes itself.
Think conversation analytics, AI chatbots, workforce management, intelligent outbound dialling and sophisticated contact strategies - capabilities that standard UCaaS systems simply can’t match, and that enterprise-grade platforms price out of reach for most teams.
MaxContact delivers measurable results - from 200–300% increases in contact rates to doubling sales teams’ conversion rates. Benchmark Insights Report.
That’s because its intelligent, intuitive platform lets teams build smarter outbound strategies and tailor them for every campaign.
Talk to the MaxContact partner team about adding a specialist customer engagement solution to your portfolio. Book a call
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September 29, 2025
5 Must-Have Dialler Features You Need In Your Outbound Call Centre
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
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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.
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Running an Effective Outbound Call Centre
Running an effective outbound call centre can boost sales, help retain customers and ensure timely payment collection. They are a vital cog in the day-to-day running of many different types of businesses, especially those that rely heavily on sales, lead generation or market research.
Unfortunately, many outbound contact centres run into the same challenges time and time again, from low call connect rates to poor performance and difficulties measuring or handling data.
Whether you run an in-house or outsourced contact centre, solving some of these issues can boost your bottom line.
An outbound call centre is a common business operation that handles outgoing phone calls to current or prospective customers, whether it be for sales, telemarketing, surveys and research, appointment setting, or customer notifications and payments.
Inbound vs Outbound Call Centre
As the name suggests, the main difference between an inbound and an outbound call centre is the type of call. An inbound call centre deals primarily with incoming phone calls, supporting new and existing customers with queries, complaints, bookings, or sales. Meanwhile, an outbound contact centre focuses on outgoing calls, where agents are proactively reaching out to prospects or clients.
Many contact centres operate on both an inbound and outbound basis, depending on the needs of the business.
Since outbound call centre operations face a unique set of challenges, we will focus primarily on those for the remainder of this article. Nevertheless, contact centres with diverse and complex requirements can also benefit from the CCaaS solutions mentioned below.
What are the Challenges of an Outbound Call Centre?
Whether it be cold calling, debt collection, or simply ringing customers to remind them of their upcoming appointments, actually getting through to the desired recipient is one of the main challenges of an outbound call centre.
Meanwhile, data management and compliance pose a different, although equally important problem. Let’s look at some of the common challenges of outbound call centres in more detail, and see how they can be solved with effective CCaaS solutions.
Challenge #1: Low Call Connect Rates
A low call connect rate has the capacity to defeat the entire object of an outbound call centre. If you can’t get through to your recipients, you’re unlikely to see a return on the investment of the operation, whether you’re trying to make more sales, raise funds or collect vital market data.
Problems
Incorrect or outdated contact information: With the wrong information, not only do agents fail to reach the recipient, but also waste valuable time on erroneous calls.
Uninterested recipients: We’re all guilty of hanging up quickly or even ignoring unsolicited calls, but large volumes of uninterested recipients can seriously impact results.
Busy signals and voicemails: Reaching live individuals can be challenging depending on the time of day and individual communication preferences.
Solutions
Predictive Dialling and AMD
Predictive dialling is a powerful tool to boost the number of successful connections, using advanced algorithms to optimise call attempts. The technology works by analysing historical data to predict when agents are more likely to reach the desired recipient.
Meanwhile, AMD (answering machine detection) screens and bypasses calls that go to voicemail to reduce idle time, with software provided by MaxContact seamlessly integrated with your existing infrastructure.
Contact Prioritisation
CCaaS software can also identify the most important calls and put them at the top of an agent’s list, using custom data fetching on your leads. This helps you connect more quality calls with customers or prospects who are less likely to hang up.
Outbound Skills-Based Routing
This clever functionality supercharges your campaign results by intuitively matching customers with their ideal agents.
Outbound skills-based routing is a relatively new technology that works across progressive, predictive and preview campaigns to connect customers with agents who have the relevant skills to handle the call. Live-call data is used to assign skill ratings to agents.
Challenge #2: Inefficient Agent Performance
While performance is on some level, determined by the individual agent, there are still plenty of things you can do to increase efficiency and motivation.
Problems
High call volume and workload: When there is a high call volume to keep up with, agents can experience stress and burnout, leading to a significant drop in performance.
Lack of proper training: Some call centres lack the resources to provide personalised agent training, meaning they don’t have the necessary skills and knowledge to handle a variety of call types and objections effectively.
Inadequate scripting and resources: Poorly designed scripts or a lack of training and support resources are guaranteed to reduce productivity and ultimately, results.
Solutions
Automated Scripting and CRM Integration
An excellent feature of MaxContact CCaaS is the built-in scripting tools, which help agents handle calls efficiently and consistently with confidence in their script.
Meanwhile, integration with your existing CRM software helps agents easily personalise calls, with all the relevant information at their fingertips.
Call Recording and Data Insights
Using a CCaaS platform to record calls helps supervisors easily identify areas for improvement and provide tailored training to agents, boosting their skills and effectiveness.
Data Dashboards and Performance Management
Most modern CCaaS platforms feature data and performance dashboards which can encourage a more engaging work environment and introduce a dose of healthy competition. They use gamification elements to boost motivation and track progress.
Challenge #3: Difficulty Measuring Success
Collecting information about what works and what doesn’t is one of the only ways to tailor your approach to your unique customer base and operations, improving success exponentially. But collecting and organising that information can be a headache waiting to happen, and is often deprioritised as a result.
Problems
Multiple success metrics: Many campaigns have more than one goal, and monitoring conversion rates, appointment bookings, or survey responses simultaneously can be challenging.
Attribution challenges: It can be difficult to attribute specific outcomes to outbound calls as a range of other marketing efforts and customer touchpoints can also play a role.
Lack of data-driven insights: Without comprehensive, readily available data, it’s difficult to make decisions to optimise call centre performance.
Solutions
Automated Analytics
Using CCaaS software that has automated analytics built-in is a simple way to optimise your campaign strategies. MaxContact provides custom solutions with the capacity to collect and present automated data insights from a range of performance metrics such as call volume, agent utilisation, and call duration.
Multi-Channel Reporting
Taking it one step further, CCaaS can also facilitate data analysis across a range of different communication channels when integrated with your existing software. This provides a holistic view of customer interactions across all touchpoints, helping you gain a broader view of campaign performance.
Challenge #4: Compliance and Security
Breaches of compliance or security can be incredibly costly to an outbound call centre operation. But staying on top of ever-changing regulations can be just as pricey and time-consuming, without one streamlined solution.
Problems
Complying with Do Not Call (DNC) lists: Dialling someone on the DNC list can result in hefty fines and penalties if you’re not careful.
Taking payments quickly and securely: If your outbound call centre deals with payments, calls can be vulnerable to security breaches, damaging your reputation and leading to a significant loss of revenue.
Solutions
Built-in Regulatory Compliance
Having a CCaaS platform with built-in regulatory features is one way to avoid the compliance nightmare altogether.
MaxContact software features innovative DNC list scrubbing to automatically remove all names and contact information that appears on the registry from your database, reducing the likelihood of a fine. It also keeps your system up-to-date with call recording compliance and allows you to locate, edit or remove someone’s information on one simple page.
Secure Payment Handling
Take payments quickly and securely with PCI-DSS (Payment Card Industry Data Security Standard). The MaxContact CCaaS system allows agents to handle payments without viewing or hearing the specific card information of the customer. Instead, they can securely input their details using their keypad.
Data Encryption
Implementing robust security features into your CCaaS system is the best way to proactively protect against a potential breach. Depending on your operational needs, you can add a range of special features such as data encryption, access controls, and regular audits to safeguard sensitive customer information.
Outbound call centre outsourcing is incredibly common, but BPOs often face more challenges than those that operate in-house. These include:
Data Security and Privacy: BPOs that deal with sensitive customer data may face heightened concerns about privacy and compliance. This means they often require even more robust security measures and special technology to stay compliant with data protection regulations.
Geographical limitations: Outbound call centre outsourcing puts distance between the business and its end customer, which sometimes makes it difficult to maintain performance and service quality. Auto quality assurance (QA) can assist in providing continued support to an outsourced team and connect the dots between the client and their customers.
Running an Effective Outbound Call Centre: Final Thoughts
While not without its challenges, running an effective call centre can be a lot easier with the right tools, technology and knowledge on your side.
Get in touch today to start running your outbound contact centre more efficiently, or download our guide for more information.
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Is Your Outbound Sales Team Truly Data-Driven?
Most outbound sales teams would describe themselves as “data-driven”. They track activity, review performance reports and measure success against targets.
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But reporting on results isn’t the same as being data-driven. In outbound sales, data only creates value when it is used to actively influence decisions; ideally, while activity is still happening rather than when it is reviewed days later.
A genuinely data-driven outbound sales team will use live performance data to shape how calls are placed, which leads are prioritised, how agents are routed and where coaching is applied. Data, technology and execution work together as a single system.
In this article, we explore what “data-driven” should really mean for outbound sales teams operating in a contact centre environment. We look at the outbound sales metrics that matter most, how technology turns those metrics into real-time decisions, and share the latest data from our Benchmark Report to help you determine whether your performance is average or genuinely competitive.
Use data to decide which leads deserve agent time
Outbound sales teams should focus on maximising productive talk time as the foundation. But the next question becomes, who should agents be spending that time speaking to?
The average first-call close rate across outbound sales teams is 25%, with 31% of teams achieving rates between 20% and 29%. This shows that conversion performance is driven less by how many calls are made and more by how effectively effort is focused.
Understanding which metrics genuinely influence outcomes is critical here. Our complete guide to call centre reporting metrics breaks down the KPIs that matter most, and how they should be interpreted in context rather than in isolation.
Sales teams should concentrate on prospects that are most likely to convert. Which means the first-in, first-out approach to lead prioritisation is an ineffective strategy.
This is where intelligent lead prioritisation tools powered by AI have a huge operational impact. By pulling data from multiple sources, such as recent engagement, historical call outcomes, conversion performance, and potential deal value, intelligent lead prioritisation ranks leads dynamically. As prospect data signals change, prioritisation updates are applied automatically, which means agents consistently spend their available talk time on the opportunities most likely to deliver results.
Use data to match the right agent to the right lead
Data-insights need not stop at determining high-value and high-intent leads. It can also influence who handles them.
While the mean average revenue per call across outbound sales teams is just under £230, over 45% of teams generate less than £59 per call. This gap highlights how widely outcomes can vary depending on agent capability.
When data is used to create value, agent assignment isn’t random or purely availability-based. Instead, performance data is used to match leads with the agents most likely to convert them. For example:
Higher-value or more complex opportunities can be routed to experienced agents with deeper product knowledge or a proven track record of closing similar deals.
Price-sensitive or early-stage leads may be better suited to agents who perform strongly at qualification and objection handling.
Sector-specific prospects can be matched with agents who have previous success in that industry or campaign type.
Skill-based routing makes this possible by using historical performance data such as conversion rates by product, deal size, objection type, or lead source. As new performance signals are captured, routing rules can be refined so decisions improve continuously.
Use real-time performance data to intervene early
Outbound sales performance can change quickly. So, relying on end-of-day or weekly reports limits how effectively teams can respond. Retrospective reporting removes the opportunity to correct issues such as poor lead targeting or gaps in agent performance.
Access to real-time performance data gives sales managers the visibility they need to intervene without burning through contact. Live dashboards show early signals, such as declining connect rates, falling conversion performance, or uneven agent productivity.
Instead of waiting for performance reviews, managers can guide execution as it happens. This might involve reallocating resources, adjusting call scripts, changing lead allocation, or providing targeted coaching.
Contact centres that use real-time insight to guide daily decision-making are better positioned to protect conversion rates and maximise the impact of agent time.
For outsourced or multi-client environments, this ability to intervene early is particularly important. Our article on how BPOs can meet their KPIs explores the additional performance and reporting challenges faced by outsourced contact centres.
Use Conversation Analytics to understand why performance varies
Surface-level metrics such as contact rate, conversion rate and first-call close rate explain what is happening in outbound sales. But the why behind performance differentiation is dependent on agents, campaigns, or lead types, and teams need insight from the conversation itself.
Our Conversation Analytics analyses 100% of outbound calls, transforming unstructured call audio into actionable insight that would be impossible to capture through manual review or random sampling.
With the ability to analyse conversations at scale, sales leaders can review and identify the underlying drivers of performance. This insight helps explain why certain agents convert more effectively, why objections stall progress, or why specific lead types underperform despite similar call volumes.
In practice, Conversation Analytics supports data-driven outbound sales teams by enabling:
More targeted coaching: Identify the techniques used in successful calls and pinpoint where individual agents need support
Better script and messaging optimisation: Surface patterns in high-performing conversations and common objections
Improved quality and compliance oversight: Analyse every call rather than small samples
Earlier identification of emerging issues: Spot shifts in sentiment, objections, or competitor mentions
If you’re looking for a broader view of how these metrics work together, our guide on how to measure call centre efficiencyexplores how performance indicators combine to drive overall effectiveness.)
Key benefits for outbound sales teams include:
Enhanced Agent Training: Identify successful techniques and areas for improvement, allowing for targeted training programmes.
Customer Sentiment Analysis: Detect changes in tone and emotion, helping agents adapt their approach in real-time.
Quality Assurance at Scale: Analyse every call, ensuring comprehensive QA and quick identification of compliance issues.
Identifying Sales Opportunities: Recognise patterns in successful calls to refine sales scripts and strategies.
Competitor Intelligence: Flag mentions of competitors, providing valuable market insights.
Trend Identification: Quickly spot emerging trends in customer behaviour or common objections.
By implementing speech analytics, outbound sales teams can gain data-driven insights that lead to more effective strategies, improved customer experiences, and better business outcomes. Use these insights to identify common objections, spot successful sales techniques, and provide targeted coaching to your team. A recent study by Forrester found that companies using AI-driven speech analytics saw a 10% increase in customer satisfaction scores and a 15% improvement in first-call resolution rates.
With speech analytics, you’re not just collecting more data – you’re gaining the ability to understand and act on the nuances of every customer interaction, transforming your outbound sales operation into a truly data-driven powerhouse.
Sustaining data-driven outbound sales performance
When combined with performance data, conversation analytics closes the loop between insight and action. Conversation analytics doesn’t sit alongside metrics. It explains them and enables more confident decisions and continuous improvement.
Using more tools or tracking additional metrics doesn’t automatically make an outbound sales team data-driven. Data only becomes valuable when it actively guides decisions across the contact strategy, from how calls are dialled, and leads are prioritised, to how agents are routed, coached and optimised.
In genuinely data-driven teams, agents and managers understand what key metrics mean, how they influence outcomes and when intervention is needed. Performance reviews focus on interpreting trends and agreeing on clear next actions, rather than simply reporting on results after the fact.
The most effective outbound sales teams connect data. By linking real-time performance insight with intelligent technology and informed decision-making, they improve results while activity is still in progress, not once opportunities have already passed.
If you want to understand how your outbound sales performance compares to other UK contact centres, benchmarking is the most effective next step.
Sampling isn’t evidence: what the new compliance rules mean for your contact centre
Fines are up 35x, the FCA wants proof, and most breaches are slipping through the calls nobody reviews. Here’s what the data says — and what to do about it.
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Compliance used to be something you could, quietly, budget for. A fine here, a sample there, a QA process that reviewed a small slice of calls and hoped the rest looked the same.
That maths no longer works.
In 2026 the cost of getting it wrong has changed by an order of magnitude, and regulators have moved from asking whether you’ve done the work to asking you to prove it. In our recent webinar, Kayleigh Tait and Conor Bowler walked through what’s changed, shared new research from more than 300 UK contact centre leaders, and showed how MaxContact’s Auto-QA closes the gap. Here’s the summary.
The 2026 compliance landscape
Two things have shifted at once.
First, the numbers. PECR - the regulation governing outbound calls, texts and marketing communications - used to cap fines at £500,000. Since the Data (Use and Access) Act came into force in February 2026, that cap has risen to £17.5 million, or 4% of global turnover, whichever is higher. That’s a 35x increase in maximum exposure. And for the first time, company directors can be held personally liable, up to £500,000 each.
Second, the FCA’s stance. Consumer Duty has been law since 2023, but the regulator has moved from “have you put this in place?” to “prove it with evidence.” Of the 180 board reports the FCA reviewed last year, the most common failure wasn’t that firms hadn’t done the work - it was that they couldn’t evidence the outcomes for vulnerable customers.
At these levels, a fine isn’t a line item you plan for. It’s a risk you have to design out.
What the research found
To ground this in reality rather than headline numbers, MaxContact commissioned independent research across 300+ UK contact centre leaders, 285 of them FCA-regulated. A few findings stood out.
Coverage has matured - but gaps remain. Asked how they review calls today:
49.5% still sample manually
46.7% already use AI to review every call
2.8% review nothing systematically
That’s a more mature picture than the “2–3% sampled” figure often quoted in industry research. But it also confirms that a real share of organisations still aren’t solving the problem with technology.
Sampling leaves you exposed. More than half - 54% - said a compliance breach or harm had occurred outside their routine QA process. 16.5% said it had happened more than once. The point is simple: if you only look at a sample, the problems tend to live in the calls you didn’t look at.
And it costs real money. Across everyone surveyed - including firms that paid nothing - the average regulatory fine in the last 12 months was £81,000, with 31% paying £50,000 or more. Fines weren’t the whole story either: the average lost revenue from non-compliant sales (refunds, cancellations, deals that fell through) was £22,000, and 50.2% said they’d lost a sale, contract or customer over a compliance issue.
The confidence gap
One of the more revealing findings came from asking teams two questions. First: how confident are you that you could evidence fair treatment if the FCA came knocking? Confidence was high across the board.
Then we flipped it: have you actually found a breach outside your QA sample? The gap between the two is the interesting bit.
It’s less about how hard a team looks and more about what they’re looking at. Sales and collections calls tend to follow scripts and structured flows, so there are only so many ways a conversation can drift out of compliance. Customer care and technical support calls are far less scripted - troubleshooting, escalations, one-off advice - so there’s more variance per call, and more chance of a breach hiding in the calls that never make it into the sample.
The feedback delay problem
Even when issues are caught, they’re caught slowly. On average, it takes 3.08 days between a call happening and the person who took it getting feedback. Only 10.9% hear back within a day; over a third (37.2%) wait three days or more.
The blocker isn’t attitude. Time, cost and headcount accounted for 37.4% of the reasons given, while only 6% felt there was no genuine need for faster feedback.
That delay matters, because feedback has a shelf life. Third-party research shows employees are 3.6x more likely to say they’re motivated to do outstanding work when feedback comes daily rather than at a quarterly or annual review. Put the two together and the risk is clear: if something’s going wrong on a call and nobody flags it for the best part of a working week, it’s probably happening again and again in the meantime.
AI Call Scoring vs Auto QA at Scale
MaxContact addresses this with two features inside Conversation Analytics. They’re easy to blur together, so it’s worth being precise.
AI Call Scoring is an AI scorecard builder, included in the Conversation Analytics base package. You write the scorecard in plain English, and it scores individual calls — a human still picks which calls to run it against. It cuts review time from 2–3x the length of the call down to around five minutes per call.
Auto QA at Scale takes those same scorecards and runs them on a schedule - historically and as new calls come in - so you get consistent coverage across 100% of eligible calls. Every result is backed by evidence in the transcript, and calls are grouped by outcome (pass, fail, auto-fail, not applicable) so your team can focus human review where it’s needed.
What Auto-QA looks like in practice
In the demo, Conor built an FCA compliance scorecard and showed how it runs at scale. A few things worth knowing:
Build the scorecard the way that suits you. You can draft it in a tool like Excel first - using comments and track changes to collaborate - then bring it into Conversation Analytics. Each criterion is defined across what to detect, what to listen for, and how to score it, using a decision tree where possible to keep scoring consistent.
It handles vulnerability. The scorecard can detect drivers of vulnerability across health, life events, resilience and capability, and score whether the agent acknowledged, semi-acknowledged or missed the indicators - directly relevant to the FCA’s focus on vulnerable customers.
Schedules do the running. Choose an always-on schedule (new calls scored as they come in) or a one-time run (for example, 5% of last quarter’s calls to check historical compliance). Add rules - minimum call length, successful outcomes only - set the sample size, activate, and it runs.
Filter and report on what matters. Build views by result - passes, fails, auto-fails - and drill into any call to see the evaluation summary and exactly why it failed. Performance reporting breaks results down by campaign, team and user, with more question-level reporting arriving shortly.
Common questions from the session
Isn’t AI scoring just swapping one compliance risk for another? No - because it isn’t a black box. Every score links straight back to the exact part of the transcript it came from, so a QA lead can check any result against the call in seconds. The AI decides what needs looking at; a human still decides what to do about it.
We already run Conversation Analytics with AI Call Scoring - is Auto-QA a big project? No. It sits on infrastructure you already have, so it’s a matter of turning the feature on. Your existing scorecards carry straight over — you’re not rebuilding anything. What changes is that scoring runs on a schedule against every eligible call, rather than a person choosing which calls to score.
Can results be shown to agents, not just QA? This is in development, and it’s permissions-based - you control the level of detail. The plan is three layers of feedback: calls scored in real time as they happen, a daily “top three to improve, top three strengths” summary, and the same across a rolling seven-day view.
The takeaway
The rules have changed, and sampling no longer counts as evidence. When breaches hide in the calls you don’t review, and feedback takes three days to land, the fix is coverage that’s complete, evidenced and fast. That’s exactly the gap Auto-QA is built to close.
About MaxContact
MaxContact is an AI-powered customer engagement platform that helps businesses turn every customer conversation into a revenue-driving outcome. Our platform spans contact centre software, conversation analytics, and AI agents and chatbots - working together as one connected solution. Book a demo.
Blog
5 min read
Auto QA is live: every call scored, every score evidenced
Auto QA is available today as an add-on to MaxContact Conversation Analytics.
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Auto QA scores 100% of your eligible interactions against your own criteria and links every score back to the exact exchange in the transcript. When a regulator, an ombudsman or the board asks about a specific call, the evidence already exists.
Reviewing every call turns out not to be the finish line
We surveyed 300 UK contact centre managers and directors in August. 285 of them operate under FCA regulation, and among that group, 46.7% already have AI reviewing every single call. For years the case for automating Quality Assurance was that you could only ever listen to a fraction of your conversations. For half this market, that's no longer the problem. So, we asked those same 285 people whether they'd ever found a compliance breach or harm issue outside their routine Quality Assurance sample.
54.0% said yes. 16.5% had found more than one.
Reviewing everything, it turns out, isn't the same as being able to prove anything. Consumer Duty doesn't ask whether a conversation was recorded or even scanned. It asks for an assessment against defined criteria, applied consistently, with an audit trail and a demonstrable link between what you found and what you did about it. Plenty of businesses now have automated review across all their calls. Far fewer could produce that chain for one named customer, on one named call, this week.
The part that costs money is the wait
The other finding that shaped this product was about speed. Only 10.9% of regulated – businesses get feedback to an agent within a day of the call. The mean is 3.08 days. And when we asked what stops teams reviewing more, the answers were about resource rather than capability - time, cost and headcount accounted for 67.4% between them. Three days is a long time on a contact centre floor. A missed disclosure or a mishandled vulnerability marker usually isn't a one-off; it's a habit, and it carries on across conversations nobody has flagged yet.
The end of the Quality Assurance Sample
Every eligible interaction is scored automatically, as soon as the transcript is available. There are no selection step and no queue. Scorecard criteria are written in plain English rather than built from keyword rules or complex logic, so your Quality Assurance team can create and change them quickly and without waiting on us. Every score is evidence-linked, so a result can be defended in a coaching session, an internal audit or a regulatory review.
And because it's one evidence layer rather than three, Operations, Quality Assurance and Compliance are working from the same view of the same conversations instead of separate samples and separate conclusions. Your reviewers keep the final say throughout. They can challenge a score, question an output and recalibrate criteria whenever the operation changes.
If you already use MaxContact’s Conversation Analytics, you already have AI Call Scoring. That lets your team score selected calls against your existing scorecard, taking a review from roughly thirty minutes down to five - around four days a month back for a reviewer. Auto QA is the paid add-on that removes the selection step entirely and turns that output into a complete, auditable record across every call.
Available today
Auto QA is available now as an add-on to Conversation Analytics. Existing customers can speak to their Customer Success contact about switching it on. If you'd like to see it working on your own call volume rather than ours, book a demo and we'll walk you through it.
Sales want to push performance. Compliance want to protect against risk. 77.5% of the managers and directors in our research agreed that pushing performance raises compliance risk - so this isn't a tension anyone needs convincing of. Score every call and both teams are at least arguing from the same evidence.
How do consumers actually feel about AI in customer engagement?
As more UK businesses cut contact centre jobs in favour of AI, we asked over 1,000 UK consumers where they actually want automation - and where they still expect a human. The answers aren't as simple as "customers are moving online."
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A major UK utility provider announced this week that it's cutting 1,300 jobs, leaning harder into AI and digital service. It won't be the last business to make this call, and it's not the first either. Across most industries right now, there's a version of the same bet being placed: that customers are ready to swap people for bots.
Our sales team has had some version of this conversation with almost every customer and prospect this week. The question underneath it is always the same - should we be doing this too?
"It's the question everyone's asking right now," says Richard Langham, VP of Sales at MaxContact. "Listening to your customers is exactly the right instinct. The mistake is assuming what worked for one business, in one industry, applies everywhere else. Consumer behaviour isn't uniform, and neither are the moments that matter to people. Before following someone else's playbook, it's worth checking what your own customers think - not what another sector's did."
We put that question to the public directly. Our Voice of the UK Consumer 2026 report surveyed over 1,000 UK consumers on exactly this: where do you want AI, and where do you want a human? The answers are more specific, and more useful, than "customers are moving online."
Consumers draw a hard line on where AI belongs
We asked people which situations they'd want to keep AI out of entirely. They were clear. Over half (54%) don't want AI anywhere near an emergency. Half say the same for complex account problems. Financial discussions (49%) and negotiating terms (46%) aren't far behind.
Flip the question and ask where a human matters most, and you get the same answer from the other direction: emergencies top the list at 41%, then complex account queries (33%), financial discussions (29%), and explaining something personal or sensitive (26%).
These situations are more common than they might sound. A missed bill. A bereavement. A boiler packing in over winter. Someone explaining a difficult situation to a company for the first time. Contact centres deal with moments like these every single day - and our data says people want a person on the other end when it happens.
AI has its place
There's real appetite for automation where it's genuinely useful: answering FAQs, routing calls, pulling up account updates. People are happy to let a bot handle the boring stuff.
There's even one situation where AI wins outright: talking to a lender about financial difficulty. More people choose AI here than a human agent. But when you dig into why, it's not enthusiasm for the technology - it's privacy. People find it easier to admit they're struggling to a screen than to a person. That's not proof consumers prefer bots. It's proof they want to avoid judgement.
Listen to your own customers, not someone else's headline
"A telecoms customer, an insurance customer and an energy customer don't necessarily feel the same way about AI," Langham says. "What one industry can get away with, another can't. What worked for one company's customer base might land completely differently with yours."
Here's what to get right before making any move on the back of someone else's numbers:
Check your own data before borrowing someone else's conclusion - a drop in call volume tells you what stopped happening, not why, and not whether it's safe to read as "customers don't want people anymore."
Keep the human path open exactly where our data says it counts - emergencies, complex issues, money problems, anything personal. These are the situations where AI is least welcome, and where getting it wrong does the most damage to trust.
Tell people when they're talking to AI - 88% of consumers say this matters, half calling it very important. If AI is handling more of your first-line contact, being upfront about it isn't optional. It's what keeps trust intact.
Moving contact online doesn't close the trust gap on its own. Keeping a human reachable for the moments people care about most does, and knowing which moments those are for your customers - not someone else's - is the bit worth getting right.
If you're weighing up a similar decision, don't do it on assumptions borrowed from a headline. Get the full picture - including sector-by-sector breakdowns for utilities, telecoms, finance/debt and insurance - in our Voice of the UK Consumer 2026 report.Download here.
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