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Predictive Dialer vs Progressive Dialer (+ 3 Alternatives)

Before choosing between a predictive dialer and a progressive one for your outbound call strategy, you should decide your business’s priorities. Are you looking to increase productivity? Do you want to drive up customer satisfaction scores? This tradeoff is implicit in the design of each system.

The key difference between predictive and progressive dialers is how they start a call.

  • A predictive dialer dials several numbers simultaneously, assigning each rep a number as soon as they end the previous call.
  • A progressive dialer only dials one number at a time, which gives the rep time to research the potential client who will pick up the phone.

In this post, we’ll cover the vital advantages and tradeoffs that come with using both dialers. Plus, we’ll look at alternative types of call center dialers, if neither a predictive or progressive dialer sounds like the right fit for your business.

Both types of dialers are available with the leading business phone services and call center software. Typically, auto dialing capabilities are available as an add-on feature. You may also find standalone auto dialer software that integrates directly with your CRM software.

Predictive dialers reach more people (with a catch)

A predictive dialer is highly efficient because it can reach more people and reduce the amount of time agents spend waiting. It uses algorithms and predictive analytics to anticipate when agents will be available for the next call.

The system automatically dials multiple numbers simultaneously and filters out unproductive connections, such as busy signals and voicemails, ensuring that agents are only connected to live calls. The system adjusts its dialing pace based on real-time call center metrics like agent availability and call success rates, which help to minimize downtime and increase agent productivity.

By anticipating when agents will finish their current calls, the predictive dialer moves quickly to assign the next call, keeping agents busy without requiring manual input. This means that agents spend more time talking to customers and less time waiting for the next call, which can significantly increase call volume compared to manual or progressive dialing systems.

Predictive dialers can lead to significant improvements in call volume, with some vendors claiming up to a 300% increase in productivity over manual dialing.

However, the actual impact depends on factors like the quality of the contact list and agent readiness. In general, predictive dialers help ensure that agents are always connected to live calls, leading to more efficient use of their time.

Hidden costs of predictive dialers

Despite the benefits, predictive dialers come with hidden costs, including:

  • Higher call abandonment rates: Due to faster dialing, there’s a greater risk of calls being dropped before an agent can answer, which may negatively impact customer satisfaction.
  • Potential harm to customer satisfaction: A higher call abandonment rate may be particularly detrimental to existing customers, as they may feel neglected in favor of reaching new prospects.
  • Compliance risks: The Federal Communications Commission (FCC) mandates that call abandonment rates must not exceed 3% over 30 days. Exceeding this threshold can lead to legal consequences, requiring businesses to carefully balance dialing speed and compliance.

While predictive dialers offer the potential for greater efficiency, businesses must weigh these productivity gains against the potential downsides, ensuring they maintain a positive customer experience and stay within legal requirements.

Progressive dialers have lower call abandonment (at a cost)

Unlike predictive dialers, which dial multiple numbers at once, a progressive dialer calls one number at a time. It waits until the current call is completed before dialing the next one, giving agents more control over the calling process.

One of the main advantages of a progressive dialer is its lower call abandonment rate. By dialing only one number at a time, it minimizes wait times for customers, making it more likely they will stay on the line. When customers hear a live agent right away, they are less likely to hang up.

In contrast, if they are met with a recorded message or a long pause, the chances of abandonment increase.

This improved customer satisfaction is another major benefit. With progressive dialers, customers are connected to agents more quickly, leading to a smoother experience and higher satisfaction rates. For businesses that prioritize customer relationships or work in complex sales environments, progressive dialers allow reps to handle calls more thoughtfully and attentively.

In addition to customer benefits, progressive dialers offer compliance advantages. Because they only connect agents to live callers, they lower the risk of violating telemarketing regulations. Progressive dialers are inherently more compliant with the Telephone Consumer Protection Act (TCPA), which governs automated calling systems. These dialers ensure agents are always speaking to a real person, helping businesses stay within legal limits for things like prior consent and abandoned call rates.

For businesses that value personalization, deal with more intricate sales processes, or are looking to enhance contact center CX, a progressive dialer is a solid choice. Its lower call abandonment rate and higher level of control for agents make it ideal for creating a more tailored and compliant customer experience.

The hidden cost behind progressive dialers

Owing to the step-by-step approach to making calls, progressive dialers tend to exhibit lower total call volumes and productivity when contrasted with predictive dialers. The result is slower lead conversion rates and decreased operational efficiency for businesses that heavily depend on high call volumes.

So, predictive dialers may be a more efficient choice if you work in telemarketing or lead generation companies or any business that requires many outbound calls to be made in a short span.

Comparing predictive dialers vs. progressive dialers

Let’s compare these two systems side-by-side.

Predictive dialers work best for:

  • High call volume needs: It is ideal for businesses with many outbound calls that should be made within a narrow timeframe.
  • Automated call handling: It efficiently connects agents with live callers and maximizes how many calls can be made each day.
  • Data-driven decisions: It uses clever algorithms to predict call availability and optimize agent workloads.
  • Telemarketing and lead generation: It is particularly suitable for industries where high call volumes are essential.

Progressive dialers work best for:

  • Personalized interactions: It is specially designed to deliver hand-hewn and attentive customer experiences. It’s almost a premium option.
  • Complex sales processes: It is better suited for businesses with well-scripted sales procedures that require agent control.
  • Telemarketing regulations: It reduces the risk of compliance issues by only connecting agents with opted-in callers.
  • Lower call volumes: It is also better suited for businesses with lower call volume needs or those valuing quality over quantity.

Both systems aim to improve efficiency by automatizing the dialing process. But they rely on different mechanisms to achieve this goal. While progressive dialers emphasize maintaining high-quality interactions and providing agents with some control, predictive dialers focus on increasing the volume of calls handled per agent.

Three alternatives to predictive and progressive dialers

Here are three other types of dialers that offer a different set of benefits and tradeoffs than the two types we have looked at so far.

Preview dialers

Preview dialers give agents detailed customer information before each call, allowing them to prepare for personalized conversations. When integrated with a CRM, preview dialers can display a customer’s interaction history across multiple channels, helping agents deliver tailored service.

Unlike predictive or progressive dialers, preview dialers allow agents to decide whether or not to place a call, adding an extra layer of control.

Preview dialers are ideal for businesses focused on high-quality, personalized outbound interactions — especially when calling existing customers or handling complex cases where preparation is crucial. They’re a strong choice for teams prioritizing customer satisfaction over sheer call volume, offering a more thoughtful and deliberate alternative to other automated dialers.

Pros Cons
  • Enhanced customer satisfaction due to tailored interactions.
  • Lower call abandonment rates as customers are more likely to stay engaged.
  • Better adherence to regulations, with fewer accidental calls to unapproved numbers.
  • Lower call volume compared to other dialers because agents must review profiles.
  • Requires skilled agents to analyze and adapt calls based on customer data.

Power dialers

Power dialers select numbers from a predefined call list and dial them one at a time. When a call is answered, the system immediately connects the agent to the caller, ensuring no time is wasted. If the call goes unanswered, the power dialer automatically moves to the next number on the list, keeping the process efficient.

You could think of power dialers as a simplified version of a predictive dialer, lacking sophisticated algorithms that anticipate agent availability and call abandonment rates. It’s an easy way to automate one of the most time consuming elements of a call center workflow.

Still, this streamlined workflow eliminates manual dialing and minimizes downtime for agents. By maintaining a 1:1 dialing ratio, power dialers ensure agents are always prepared to engage with the customer, making them a reliable tool for teams focused on steady, high-quality interactions.

Power dialers are suitable for businesses that prioritize high call volume, are concerned about compliance, but prefer a simplified dialing system. They are a useful option for companies that don’t want to deal with the compliance exposure of predictive dialers, but still need agents to make a high number of calls per hour.

Pros Cons
  • Higher call volume than manual dialing, but not high as predictive dialers can achieve.
  • Guaranteed 1:1 dialing ratio means that customers will always be greeted by an agent.
  • Allows agents to leave voicemail, which not all types of dialers support.
  • Less efficient than predictive as agents may spend time waiting for calls.
  • Compliance requirements for automated dialing necessitate training and oversight.

Blended dialers

Blended dialers allow businesses to handle both inbound and outbound calls with the same system, maximizing efficiency and improving customer service. By automatically assigning outbound calls when agents are available and prioritizing inbound calls as they come in, these systems ensure that no time is wasted and customers receive timely responses.

The system works by monitoring call queues in real time. When an agent is free, the dialer connects them to an outbound call from the list. If an inbound call comes in while agents are busy with outbound calls, the system either places the call on hold or redirects it, depending on your setup. This allows your outbound team to jump in and help decrease call queue times during a spike in traffic..

This flexibility makes blended dialers a great fit for smaller teams or businesses looking to get the most out of their available agents.

Blended dialers are best suited for businesses that handle significant volumes of both inbound and outbound calls but need to optimize a smaller, unified team.

For larger call centers with specialized teams, separating inbound and outbound operations may be more effective. Smaller businesses often benefit most from blending calls, as it allows them to maximize efficiency without adding staff.

Pros Cons
  • Maximized agent productivity allows a smaller team to handle inbound/outbound.
  • Minimal front-end complexity for agents who can use a single system for all calls.
  • Improved satisfaction with prompt responses and consistent outreach.
  • Complex to manage compared to other dialers, and requires ongoing adjustment.
  • Risk of agent fatigue from handling diverse responsibilities can increase burnout.
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RPA Contact Center: What Grindy Tasks Can it Get Rid Of?

RPA stands for robotic process automation. It represents some of the most cutting-edge technological developments of the modern era with its ability to improve efficiency gains in business operations. RPA uses software bots to automate tasks, eliminating the need for people to perform manual labor and other tasks that involve rote, repetitive processes.

RPA is deployed in many IT settings and is ideally suited for contact centers, which are intensely customer service-focused environments.

The clear case for RPA in contact centers

RPA bots act in place of human operators, having first gained prominence in the manufacturing industry where low-skilled, labor-intensive tasks were highly prevalent. The introduction of RPA bots was not necessarily to replace human labor, but to displace and reallocate it for more productive endeavors.

In places like contact centers, for instance, they do a lot of the repetitive and boring tasks so that human agents are free to focus on more creative, value-adding tasks.

Typically, RPA bots work using an API, but they can also function and interact at a graphical user interface layer to execute complex workflows.

While RPA accelerates productivity, not all tasks, processes, or environments are ideal for process automation.

RPA is primarily used for the following:

  • Tasks with standardized processes and functions that are predominately rule-based.
  • Mundane tasks that are labor-intensive and time-consuming.
  • Jobs that operate in reliable, data-rich, and data-driven environments.
  • Workplaces that process high-volume, monotonous tasks and need consistent handling without experiencing diminishing returns.
  • Business processes that use well-defined, standardized data sets that are easy to structure and categorize.
  • Tasks that deal with a large volume of digitized data that’s adequately readable.

After selecting the right vendor, deploying robotic process automation requires capturing the steps you want to automate, executing the pilot process with your preferred vendor, and then implementing it.

When a contact center deploys one or many automated bots, it allows the center to scale its operations while delivering high-volume processes swiftly, accurately, and consistently without a downgrade in quality or efficiency. Moreover, RPA bots provide these benefits at significant cost savings compared to human agents who would otherwise be wasted on menial tasks. Ultimately, they allow human capital to focus on tasks requiring intuitive judgment.

For contact center employees specifically, RPA can automate numerous workflow tasks that are part of a typical workday. These tasks rarely have an impact on customer satisfaction outcomes, so contact center employees benefit from having more time to focus on activities that are more productive.

Additionally, RPA technology can also streamline certain tasks and fortify data security practices for the company, taking some of that burden off the employees.

At the same time, RPA bots don’t need to take bathroom breaks and can work all day long without experiencing diminishing returns.

Unattended and attended bots

For the most part, contact centers use unattended bots that execute processes behind the scenes. These unattended RPA bots are primarily provisioned to tackle rule-based processes automatically, which allows them to automate back-office services at scale.

Meanwhile, attended RPA bots require human intervention and/or instruction to perform tasks, as they typically do things that depend on the knowledge and expertise of a contact center agent. For instance, an attended bot can act as a virtual assistant that is manually triggered to gather customer information while the agent interacts with a customer.

Furthermore, an assisted RPA bot can even take the information it gathers from an agent’s computer and fill in forms with personalized customer details during a call. This makes RPA bots especially useful for agents who deal with various support chats, Voice over Internet Protocol (VoIP) calls, and other routine data input processes.

The top opportunities for contact center RPA

Contact centers are filled with repetitive, time-consuming tasks that can drain efficiency and hinder customer satisfaction. RPA offers a powerful way to streamline these processes,  reduce errors from manual entry, and free up agents to focus on more valuable interactions.

Here are eight key opportunities where RPA can drive significant impact and transform operations

1. Enhanced customer verification

While traditional IVR systems are effective for basic customer authentication — such as verifying account numbers or PINs — RPA goes beyond simple queries to handle more complex, dynamic verification processes.

For example, RPA bots can:

  • Pre-validate customer information: Pull and cross-check data from multiple systems, such as CRM platforms and payment records, to ensure accuracy before escalating to an agent.
  • Handle conditional logic: Adapt verification steps based on the caller’s issue or account status. For example, if a payment dispute is flagged, RPA can pre-authorize verification layers like confirming recent transactions or linking a verified email.
  • Initiate advanced authorization: Request sensitive approvals, such as confirming account changes or processing refunds, without requiring the customer to repeat details to a live agent.

Beyond traditional identity verification, RPA also supports tasks like appointment confirmations. For businesses offering in-home services, RPA bots can proactively reach out to customers, verify service windows, and update scheduling systems — all without agent intervention.

This enhanced approach saves time, reduces friction for customers, and ensures agents are equipped with verified, up-to-date information when they step in to assist.

2. Automated self-service

Contact centers are often flooded with basic customer inquiries, like asking about product returns or how to file a warranty claim. These tasks don’t need a live agent, so they’re great candidates for automation.

A simple IVR phone tree can handle simple tasks, like pressing a number to check your account balance. However, IVR is limited in what it can do — if a customer needs to update their billing information, manage a return, or track an order status, it often can’t access the backend systems or process complex requests.

SEE: Learn best practices of setting up simple phone trees

RPA goes beyond that. For example, if a customer wants to return an item, an RPA bot can guide them through the return process, check the product’s return eligibility, and generate a shipping label — and this is all done without human assistance.

It can also assist with updating account details, processing refunds, or even tracking shipments by pulling data from multiple systems in real time. This not only makes things faster for customers, reduces the burden on agents, and helps you get call center queuing times down during peak hours.

3. Optimized agent support

RPA can greatly enhance the effectiveness of human agents in contact centers by streamlining repetitive tasks and providing valuable support during customer interactions.

For example, RPA can automatically route inquiries to the right agent based on their skills and workload, ensuring that customers are quickly connected to the best-suited person. This reduces wait times and helps agents focus on cases they are best equipped to handle. RPA goes beyond traditional skills-based IVR by automating both front-end and back-end tasks, such as gathering customer data and updating records in real time, while IVR systems focus primarily on routing calls or providing scripted responses.

Additionally, RPA can retrieve and display relevant call center knowledge base articles or troubleshooting steps in real time, enabling agents to resolve issues more quickly. It can also update customer records, log interaction details, and process back-office tasks like returns and refunds, all while the agent continues to assist the customer.

SEE: Learn how to create a call center knowledge base your agents love to use. 

By consolidating data from multiple systems and presenting it in an easily accessible format, RPA ensures that agents have all the necessary information to provide fast, informed, and personalized service, improving both efficiency and the overall customer experience.

4. Report preparation

Many contact centers need to produce reports for management to monitor the progress and evaluate key performance metrics.

While report preparation is a simple task for a human agent, it nevertheless requires a certain degree of decision-making that can distract agents from focusing on their daily workload. The process is also prone to error and takes significant time to carry out. Furthermore, it often compels agents to switch between multiple systems to generate data and run reports.

RPA can automatically gather and analyze contact center analytics, such as call volume, response times, and agent performance, to generate accurate, real-time reports without manual input, saving time and reducing errors.

RPA bots can rely on quick, automatic, and rule-based provisioning to generate, analyze, and disseminate reports (often via email) to respective managers.

5. Integrating systems

Enterprise software applications are creatures of immense complexity. Only a few vendors have the expertise or resources to supply all the critical functionality needed, and no enterprise system is completely siloed. This means integrations with third-party apps are necessary for a unified system.

This task is hard for any type of business software, but with so many moving parts, contact center integration is notoriously difficult to get right.

RPA can simplify this by automating data transfers and workflow automation between systems like CRM, ticketing, and payment platforms. RPA ensures real-time updates, reducing errors, saving time, and providing agents with accurate, up-to-date customer information, ultimately enhancing the contact center customer experience.

SEE: Discover how to improve contact center CX without buying anything new. 

RPA’s ability to bridge system gaps allows contact centers to scale easily, integrating new tools or platforms without disrupting existing workflows. By automating system integration, RPA increases efficiency, reduces operational costs, and ensures a smooth, unified process across multiple systems, which leads to faster problem resolution and more personalized service for customers.

Although APIs make the task much easier, integrating various systems and workflows into your contact center is non-trivial. Using RPA, contact centers can integrate multiple systems without disrupting the underlying ecosystem.

6. Handling recurring and repeat calls

When a caller has to go through various transfers on a single call, it can be very irritating and detrimental to the overall customer experience.

RPA is a good resource to mitigate these occurrences, as it can keep track of particular issues surrounding a customer problem and relay that information to agents automatically. This helps agents understand the context surrounding a customer’s call or issue right away.

If necessary, RPA bots can also provide agents with a comprehensive customer profile at the click of a button so they can get a sense of an individual customer’s previous interactions.

This leads to a more personal and expedited communication process for the customer while also shortening the average call duration for the agent. This means customers are happier and agents aren’t wasting time transferring or answering calls they don’t need to.

In the end, RPA is an important contact center technology that streamlines routine call handling and improves operations. By automating tasks such as data retrieval, record updates, and providing real-time information to agents, RPA allows human agents to focus on more complex customer issues. This reduces wait times, enhances call efficiency, and ensures smoother interactions across channels. Additionally, RPA handles administrative tasks behind the scenes, enabling agents to resolve issues more quickly and creating a more seamless experience for both agents and customers.