How Damantra Cut Lead Response Time by 75% & Increased Demo Conversion by 28% with Calilio

1. Customer Calls Were Spread Across Different People and Devices

Damantra’s customer journey involved more live communication than a typical self-service software product.

Prospective customers often wanted to explain their existing production process before booking a demonstration. They needed to know whether Damantra could support their order stages, artwork approval process, pricing structure, production team, and customer communication workflow.

New customers also needed guidance when translating their existing spreadsheets and manual processes into Damantra.

Support calls could involve several connected issues. A customer might call about a revised artwork file, an unpaid invoice, a production deadline, and user permissions during the same conversation.

Initially, these calls were handled through a mixture of personal mobile numbers, online meeting tools, and a basic business line.

This approach worked while Damantra was handling a small number of customers. As call volume increased, it became harder to determine who owned each conversation and whether the customer had already spoken with another team member.

The team experienced several recurring problems:

• New enquiries did not always reach an available sales representative.
• Customers sometimes called individual employees who were unavailable.
• Different team members used different numbers for outbound calls.
• Call histories were distributed across personal devices.
• Support representatives lacked visibility into earlier conversations.
• Managers had limited information about call demand and response times.
• Important details from calls were documented inconsistently.

Customers occasionally had to repeat information when a conversation moved from sales to onboarding or from support to another department.

2. Missed Calls Were Slowing the Sales Pipeline

Many Damantra prospects were production owners or managers working inside active print shops and workshops.

They often called between production tasks, while reviewing artwork, or after realizing that their current spreadsheet-based process was becoming difficult to manage.

These calling opportunities were time-sensitive. When a prospect did not receive an answer, they did not always leave a detailed voicemail or complete another enquiry form.

Before Calilio, Damantra received approximately 580 inbound calls per month. Around 18% of calls made during business hours were missed.

The team could usually return those calls, but the process was inconsistent. Sales representatives checked personal call histories, contact forms, email notifications, and internal messages to identify prospects who needed a response.

The median response time for a new phone enquiry was 3 hours and 24 minutes.

By the time a representative reconnected, the prospect was sometimes back in production, unavailable for a detailed conversation, or already evaluating another software provider.

3. Sales Follow-Ups Depended Too Heavily on Individual Habits

A typical Damantra sales process involves several conversations designed to guide prospective customers through their decision-making journey. It usually begins with an initial discovery call to understand their needs, followed by a tailored product demonstration. Subsequent discussions may cover setup, pricing, data migration, or team access, and the process often concludes with a trial review before the customer decides to subscribe.

The sales team was making approximately 810 outbound calls each month. However, representatives dialled prospects manually and recorded outcomes in different ways.

Some added detailed notes. Others recorded only a short status. Follow-up dates were not always consistent.

Managers could see opportunities progressing through the sales pipeline, but they did not have a reliable view of the calling activity behind those opportunities.

Without a structured way to track sales conversations, it was difficult to answer important questions such as which leads had received a callback, how many follow-up attempts had been completed, which calling times produced the highest answer rates, which prospects were waiting for another conversation, and how often qualified calls progressed to a product demonstration. This lack of visibility made it challenging to monitor engagement, optimize outreach efforts, and accurately measure sales performance.

Approximately 33% of qualified phone enquiries progressed to a booked demonstration.

4. Customer Context Was Being Lost Between Teams

Damantra’s sales, onboarding, and support teams worked closely together, but each team handled a different stage of the customer relationship.

Sales representatives learned about the prospect’s existing workflow, order volume, team structure, production stages, and operational challenges.

Onboarding specialists then needed much of the same information to configure the customer’s workspace effectively.

Support representatives needed visibility into previous discussions when handling questions about active accounts.

Before Calilio, employees generally wrote notes after each call. The quality and completeness of those notes varied depending on workload and the complexity of the conversation.

Only around 46% of customer calls had a complete written summary attached to the relevant account or request.

This created additional work. Employees frequently checked internal messages, contacted colleagues for context, or asked customers to explain an issue again.

5. Managers Lacked Reliable Phone-Performance Data

Damantra could measure subscriptions, trials, customer activity, production workflows, and support requests through its software and internal systems.

Phone activity remained much harder to evaluate.

The company lacked a consistent way to measure and monitor key call performance metrics, including inbound and outbound call volumes, missed calls, callback response times, peak calling periods, and call outcomes. It also struggled to track sales connection rates, follow-up completion, common customer support topics, and the time employees spent on call administration. As a result, it was difficult to evaluate team performance, identify operational bottlenecks, and make informed decisions to improve customer service and sales efficiency.

Damantra needed a cloud phone system that could centralize customer communication without adding desk phones, complicated hardware, or a lengthy implementation process.