How we automated lead processing for a company and cut deal closing time in half

Initial situation: channel chaos and loss of speed

Let's describe the "before" situation: at the beginning of the project, the company had no significant issues with its team or demand. Clients were receiving numerous inquiries, and managers tried to respond to them promptly. The problem lay elsewhere — in the way communications were organized. When the number of channels and requests rapidly increased, the system couldn't handle the load, and each new lead only increased operational complexity.

Below are the key symptoms of the “before” condition, which led to loss of control and speed.

• Multiple communication channels simultaneously. Client requests arrived via Telegram, WhatsApp, Instagram Direct, and the website, but each channel operated independently. Managers had to constantly switch between apps, which increased response times and created the risk of missing requests.
• Some of the correspondence was on managers' personal phones. Managers sometimes conducted conversations through personal accounts. This made transferring clients between employees more difficult. There was a risk of information loss during an employee's absence or termination.
• There was no single client profile. The same client could message from different channels and be treated as a new contact each time. Communication history was broken, and to restore context, employees had to ask the client again or rely on their own memory.
• It's difficult to monitor response speed. Since there was no single call center, it was impossible to track how quickly B2B service managers responded to new leads. Delays in processing requests arose not from a lack of willingness to work, but because notifications were lost between channels.
• The manager didn't see the real picture. The manager didn't understand the workload of his employees, how many active conversations were taking place, and couldn't see the current status of requests. Decisions had to be made based on fragmented data and subjective perceptions.
• Deals are closing slowly. Each of the problems described above accumulated along the path from initial contact to closing. Loss of context, slow response times, and manual coordination meant that even interested clients took longer to make decisions than they otherwise would have.

Problems that needed to be solved

1. Combine all channels in one system so that employees can work in a single environment without switching between applications.
2. View the complete communication history. All customer requests should be stored in one place, even if they come from different channels. This way, managers can see the communication history without having to search through chats, contact colleagues, or ask the customer to repeat the request.
3. Speed up the initial response. A quick response directly impacted the conversion rate to dialogue, and then to a sale.
4. Reduce manual efforts. Reduce copying, transferring information, and form filling by managers.
5. Make the process transparent. Monitor workload, status, and request processing speed so managers can see information in real time and make decisions based on objective data.
6. Reduce dependence on specific managers so that knowledge and contacts remain in the system, rather than in personal chats.

Why classic CRM wasn't suitable

When the project launched, the service was already working with a traditional CRM system. Therefore, learning the tools wasn't the problem. The challenge was different: traditional CRM didn't support the real-world interactions between managers and clients. The system existed alongside the processes, rather than supporting them.

We identify the decisive factors that created obstacles in the team's work.

• Spreadsheet interface. The logic of basic CRM systems is built around tables, lists, and reports. Therefore, managers are forced to constantly fill out forms instead of promptly responding to client notifications — and this slows down communication.
• Complex lead cards. The cards contained numerous fields and tabs that had to be filled out manually. Because this was time-consuming, managers put off the work.
• Managers work in chats, not in a CRM. Communication with clients took place via Telegram, WhatsApp, Viber, email, and Instagram. The CRM system was used not as the primary work environment, but as a secondary tool for recording results.
• Lengthy onboarding. The CRM system requires an understanding of its complex structure, field logic, and scenarios. Therefore, training new employees took a long time. This, in turn, negatively impacted the team's scalability.
• The CRM hindered dialogue with the client. The system requires careful information entry and adherence to formal processes. As a result, the CRM began to compete with dialogue rather than enhance it.

Solution: chat-oriented CRM AvaCRM

The B2B service aimed to integrate all communication channels and simplify managers' daily work without adding unnecessary burden. When evaluating alternatives, it became clear that a key success factor was a tool that operates in a format as close as possible to the employees' usual way of communicating with clients. This tool was the chat-oriented CRM AvaCRM.

Let's look at the main characteristics of the system that allowed us to properly and effectively organize the team's work.

CRM in messenger format

The interface is built around chats, allowing employees to work in a familiar environment. Notifications, files, and client interaction history are all organized into a single thread.

Focus on dialogue, not cards

Client data is displayed alongside the conversation. This ensures seamless interaction, eliminating the need for managers to constantly open cards, manually enter data, and switch between windows. This speeds up workflow and reduces the risk of missing details.

A familiar interface for managers

The interface is similar to popular messaging apps, allowing for rapid team onboarding. New employees can get started without extensive training.

Minimum entry threshold

Chat-oriented CRM AvaCRM is easy to launch and does not require complex configuration.

How we combined all channels into one feed

It was important for the company that manager-client communications weren't fragmented into separate chats depending on the platform. We unified channels through a single conversation feed with clear processing rules.

All requests from different channels → in one working window

B2B service employees no longer need to check Telegram, WhatsApp, Instagram, and the website separately. Incoming communications have been configured so that they are accessible from a single workspace.

How we combined all channels into one feed

It was important for the company that manager-client communications weren't fragmented into separate chats depending on the platform. We unified channels through a single conversation feed with clear processing rules .

All requests from different channels → in one working window

B2B service employees no longer need to check Telegram, WhatsApp, Instagram, and the website separately. Incoming communications have been configured so that they are accessible from a single workspace.

One client → one dialogue, without duplication and loss of context

Clients can send requests through various channels, but our system combines all messages into a single conversation. This facilitates communication, maintains context, and eliminates duplicates.

Clear dialog navigation → statuses, tags, priorities

Each conversation has a status, tags, and priority level. This allows managers to quickly understand the status of customer requests, which require immediate attention, and which require scheduled processing.

Full communication history → always at hand

The manager views the entire client communication history, as well as files and chat activity. The manager can monitor the progress of the interaction at any time without further clarification from the team.

Lead Processing Automation

A key step in this case was to build an automated lead processing logic so that the system would handle technical tasks, leaving the team free to focus on customer interactions and sales. Let's list some real-world scenarios.

1. Automatic lead generation from any channel. New customer inquiries received from Telegram, WhatsApp, Instagram, or website forms are automatically converted into leads in the system. This frees the team from having to process each request manually.
2. Automatic tagging and status assignment. To assign a lead status or tag, the system takes into account keywords, the source of the request, and the stage of interaction. This makes it easier to understand the context of the request.
3. Routing between managers. Leads are distributed among employees according to preset rules, such as request type, channel, priority, and manager workload. The risk of missing a conversation is eliminated, and the team's workload is evened out.
4. Basic workload analytics. The system records the distribution of conversations between employees, the speed of responses to clients, and the number of requests. This analytical data allows you to identify peak periods and bottlenecks, and, as a result, make informed strategic decisions.
5. Optional: a chatbot or AI agent for initial interactions. It's possible to connect an AI agent or chatbot at the first stage. It collects basic customer data, answers typical questions, clarifies details, and directs the customer to the appropriate specialist. As a result, B2B service managers are connected to an existing dialogue.

How the work of managers has changed

These before/after examples demonstrate how changes in tools and processes have directly impacted the speed of managers' work, as well as the control and quality of interactions with clients.

Results after implementation

1. The time from first contact to closing has been reduced by approximately half . According to internal metrics, B2B service managers now respond to client inquiries much more quickly. In turn, clients receive responses without delay. The lead processing cycle has been significantly reduced. All this is thanks to a unified feed and automation.
2. The number of lost calls has decreased. Based on observations, no customer request is left unattended, as all contacts are stored in the system.
3. The manager now has transparency. They have a complete picture of each employee's work, can monitor the team's workload, and set priorities. This allows them to make informed decisions and respond quickly to changes.
4. The team adapted quickly. According to internal monitoring, the team easily adopted the new approach. Managers are focused on working with clients in their now-familiar chat format.

The implementation of a chat-oriented CRM in a B2B service proves that properly organized lead processing and centralized communications positively impact the team's efficiency and quality. The "single feed + automation + focus on dialogue" approach not only speeds up processes but also makes them transparent and controllable.

Key takeaways from this case study:

• Response speed is a competitive advantage. If your team responds to inquiries quickly and in a timely manner, customer satisfaction levels rise, and the chances of successfully closing deals increase.
• Chat is a natural format for working with clients. Chats were a natural medium for communication between managers and clients. Therefore, working in a familiar format helped the team avoid stress and a lengthy adaptation period, and instead focus on communicating with clients.
• Data centralization → process order. Now all client contacts and requests are located within a single system. This helps avoid chaos and duplication.
• Automation → ease and efficiency of daily work. A chat-oriented CRM has taken over all routine work of the B2B service. As a result, managers work faster, and the number of errors has significantly decreased.
• CRM is a tool that adapts to the team. The system adapts to the actual processes and work style of managers, not the other way around.

Does this case resonate with you: leads are coming from different channels, managers are overloaded, and the manager is struggling to keep the process under control? The problem likely lies not with the team, but with the tools used. AvadaCRM's experience shows that in such cases, it's crucial to start automating business processes and properly building a communications framework.