Transforming Your Contact Center for Optimal Performance

Great customer service depends on offering multiple ways to communicate. Still, when things get complicated, 76% of consumers prefer to pick up the phone, according to Zendesk. When the issue is urgent, emotional, or high-stakes, chatbots and email threads simply don’t cut it. People want clarity, empathy, and real-time problem-solving, and voice conversations can handle nuance, emotion, and urgency far better than any asynchronous channel.

Sales teams that use a CRM see up to 29% more revenue than those that don’t (Salesforce, 2023). However, that’s only true if the CRM is fully integrated with the tools reps actually use, like voice calling. Without phone integration, sales managers lose visibility, reps waste time manually logging calls, and customer conversations vanish without context.

Leads contacted within 5 minutes are 100x more likely to connect than those followed up with after 30 minutes, according to the Lead Response Management Study by MIT. Speed matters — and click-to-call helps reps act instantly.

Support agents can handle an average of 50–70 tickets per day, and even a few seconds lost per interaction adds up quickly. According to Gartner, manual dialing can cost teams over 1 hour of productivity per agent each day — time that could be spent resolving tickets, not toggling between systems.

Call disposition accuracy determines how precisely agents label the outcome of a call, directly influencing follow-up actions, CRM data integrity, and performance metrics. Inaccurate tagging creates broken workflows, missed opportunities, and misleading reports that affect everything from sales forecasting to customer experience. To improve accuracy, high-performing teams use strategies like simplifying disposition lists, leveraging speech analytics, and automating routine tags to ensure every call is categorized with intent and clarity.

Silence Ratio and Overlap Time are two overlooked but critical metrics that help contact centers assess the real quality of their conversations. High silence often signals hesitation or friction in workflows, while excessive overlap reveals poor listening or pressure-driven interruptions, both of which impact customer satisfaction and resolution efficiency. By tracking and interpreting these patterns at scale, teams can identify specific coaching needs, streamline call handling, and ultimately improve both agent performance and the customer experience.

Contact centers use talk-to-listen ratio as a powerful indicator of conversation quality, customer understanding, and agent performance. This article explains how Voiso’s AI Speech Analytics tracks the ratio in real time, ties it to outcomes like First Contact Resolution and CSAT, and helps managers identify and coach agents toward more balanced, effective conversations. It also provides clear benchmarks by call type, common pitfalls to avoid, and actionable strategies for improving the ratio using Voiso’s tools like real-time dashboards and Flow Builder.

Sales reps spend 64% of their time on non-selling tasks like manually entering data and switching between tools during outreach. In other words, precious time that should be spent talking to leads instead of toggling tabs. That’s according to a 2023 report by McKinsey, which found that fragmented workflows are a top cause of lost sales momentum.

Support teams lose up to 20% of their time switching between systems and manually dialing calls — according to a Zendesk Benchmark report. For high-volume teams, that time translates into thousands of unresolved tickets and slower first response times.

Call Answer Rate (CAR) is a crucial metric that shows how often calls are picked up, and in outbound campaigns, it can be as low as 2–10%, leading to lost revenue and wasted resources. Improving CAR requires addressing multiple factors such as caller ID reputation, call timing, contact list quality, and using tools like Voiso’s AMD and predictive dialers to ensure agents connect only with real people. Voiso’s platform provides AI-driven analytics, dynamic caller ID management, and omnichannel routing to help contact centers systematically raise answer rates and drive better business outcomes.

Sales reps spend more time than they realize just jumping between tools. According to Harvard Business Review, constant context-switching adds up to five full weeks of lost productivity every year. For HubSpot users managing high volumes of outreach, every extra tab, copied number, or manual log entry cuts into time that should be spent actually selling.

Sales reps spend just 28% of their week actually selling, according to Salesforce’s State of Sales report. The rest is consumed by admin work like logging calls, updating records, or manually dialing phone numbers. It’s a daily drain on productivity that compounds across entire teams.

Average Talk Time (ATT) is often misunderstood and misused in contact centers. This article shows how to interpret ATT correctly, differentiate it from AHT, and use it as a diagnostic tool, not a performance score. It offers practical strategies to optimize talk time through intelligent routing, real-time agent support, and AI-powered insights, while tying ATT to broader metrics like CSAT and FCR.

Zendesk is one of the most widely used customer support platforms in the world, helping businesses of all sizes manage tickets, streamline communication, and deliver exceptional customer experiences. But while Zendesk is powerful on its own, its real strength lies in its flexibility.

In the world of customer engagement, recognition is more than a badge, it’s a signal of trust, momentum, and market readiness. That’s why Voiso’s recognition as a Leader in Mid-Market Speech Analytics in Asia in the G2 Fall 2025 Report carries such weight.

Zoho CRM is one of the most versatile customer relationship management platforms on the market, trusted by businesses to manage leads, track sales, and nurture customer relationships. But while Zoho CRM is powerful on its own, its true value is unlocked through integrations.

Salesforce is the world’s leading CRM platform, trusted by businesses of all sizes to manage sales pipelines, customer relationships, and service operations. But while Salesforce is powerful out of the box, its true potential comes alive through integrations.

HubSpot has become the go-to CRM platform for businesses looking to manage their sales, marketing, and customer relationships all in one place. But while HubSpot is powerful on its own, its true potential is unlocked through integrations.

From solo entrepreneurs to enterprise teams, organizations of every size are looking for ways to connect their favorite tools, cut down on manual work, and get more done in less time. Zapier makes that possible by linking over 7,000 apps into seamless workflows that run automatically.

Chatbots have evolved from novelty features into powerful tools that shape how businesses interact with customers and manage operations at scale.

Transfer rate isn’t just a metric, it’s a reflection of how well your contact center routes intent and preserves context across handoffs. High transfer rates usually signal upstream issues like vague IVRs, poor tagging, or lack of resolution ownership, not complex customer problems. Voiso tackles this by using predictive routing, transparent dashboards, and agent-side tools that reduce repeat explanations and turn transfers into seamless, trust-building moments.

Call volume is one of the most volatile and impactful metrics in contact center operations, with over 43% of teams experiencing daily spikes of 30% or more, yet most still plan around averages. High-performing teams analyze volume by intent, channel, and handle time to predict surges, prevent burnout, and optimize staffing without sacrificing CX. Voiso empowers this shift with live forecasting, smart routing, and AI-driven insights that turn chaotic spikes into strategic opportunities for service and growth.

Taking notes during calls and meetings can be exhausting, and even the most diligent note-taker can miss key details. That’s where AI call summarization tools can help. Powered by natural language processing (NLP), speech recognition, and machine learning, these tools automatically transcribe and distill calls into actionable summaries.

If you’re thinking about moving your contact center operations to the cloud, you’re not alone. But what exactly does cloud migration mean in this context? Simply put, it’s the process of shifting your contact center’s infrastructure and services—from traditional on-premise setups—to a cloud-based platform.