Just a couple of years ago, a chatbot was perceived as a toy: “hi, I’m a bot, how can I help you?” - and that’s all. Today it is a working tool that responds to clients around the clock, does not lose requests at night, qualifies leads and relieves managers. And with the advent of neural networks, bots learned to conduct a live dialogue and understand questions, and not just offer buttons. Let’s look at what business tasks a chatbot actually solves, where it lives, how much it saves, and when it should be implemented.
What a chatbot can do: 7 business tasks
1. Reply 24/7. The client writes at night or on the weekend - the bot responds instantly. By the time your competitor calls back in the morning, you have already taken the application into consideration.
2. Don't lose applications. Каждое обращение фиксируется и попадает в CRM. Not a single message gets lost in the flow, even when managers are busy.
3. Qualify leads. The bot asks several questions and filters out non-targeted requests, and immediately passes the “hot” ones to the manager with the information already collected.
4. Carry out auto funnels and warm-up. The bot consistently sends useful messages, cases, special offers - and brings a cold subscriber to a purchase without human intervention.
5. Accept orders and registration. Placing an order, signing up for a service, making a reservation - all within a correspondence, without calling or waiting for an operator.
6. Answer frequently asked questions. Price, delivery, conditions, operating hours - the bot covers 70–80% of typical questions, freeing up managers for complex tasks.
7. Collect data and remind. The bot segments the audience, reminds about an abandoned cart or record, and returns customers.
Where does the chatbot live?
The bot works where your audience is:
- Telegram - the most popular channel for bots today: funnels, mailings, payments directly in chat.
- VKontakte — bots in communities, auto-responses, integration with advertising.
- On the website — a widget that greets a visitor and turns traffic into applications.
- WhatsApp and other instant messengers — where it is more convenient for the client to write.
The bot works best in conjunction with website and social networks: traffic from advertising and search gets into the bot, and it brings the person to the application.
How much does a chatbot save?
Savings consist of several items:
- Time for managers. The bot takes care of the routine - standard questions, initial qualifications, recording. One bot replaces part of the work of an entire department.
- Applications not closed at night. Requests after hours no longer cool down until the morning - the bot picks them up right away.
- Lead processing cost. Automation of the initial contact reduces the cost of processing each request significantly.
- Response speed. Instant response increases conversion: the faster the response, the higher the chance that the client will not leave for a competitor.
As a result, the bot does not so much “cut costs” as it prevents the business from losing money on slow and missed responses.
AI bots vs script bots
Previously, bots worked strictly according to the script: a step to the left of the buttons - and the bot “broke”. Modern bots using neural networks understand questions in free form, answer in human language and find the answer themselves in the company’s knowledge base. This is part of a larger theme - implementation of AI and automation into business processes, where the bot becomes not just an answering machine, but a full-fledged assistant in the sales and support department.
At the same time, script bots are not outdated: for clear processes (recording, ordering, FAQ), a simple script bot is often more reliable and cheaper. The right approach is to combine: a rigid script where order is needed, and AI where live dialogue is needed.
Who needs a chatbot
- Services with recording — salons, clinics, car services: appointments and reminders without calls.
- Online stores — order status, responses to products, return of abandoned carts.
- B2B and services — lead qualification and warming up the long transaction cycle.
- Information business and experts — auto funnels, warming up and sales in messengers.
- Any business with a flow of requests, where managers are drowning in typical questions.
How to implement a bot: stages
- Analysis of tasks. We determine what exactly the bot should do: answer, qualify, sell, record.
- Script and logic. We register dialogues, branches, transfer points to the manager.
- Integrations. We connect CRM, payment, calendar, knowledge base.
- Launch and training. We test on real dialogues and refine the answers.
- Analytics and development. We look at where people fall off and improve the scenarios.
Common mistakes
- A bot instead of people, not together with them. The bot should remove the routine and transfer difficult things to a human in a timely manner, and not lock the client in buttons.
- There is no contact with the manager. If a client cannot call a live person, this is annoying and leads to lost applications.
- Complex, confusing scenarios. The easier the path to the goal, the higher the conversion.
- Launched and forgotten. The bot needs to be improved based on real dialogues.
What is the price
The cost depends on the complexity: a simple scripted bot for recording or FAQ will cost less, a bot with AI, integrations with CRM and payment will cost more. But what needs to be considered is not the cost of development, but the payback: how many applications the bot will retain and how much time it will free up managers. As a rule, the bot pays for itself in the first months due to previously unclosed requests.
Example: how a bot turns traffic into requests
Imagine: you invested in advertising, a person went to the site in the evening - but the managers are no longer working. Without a bot, he leaves and, most likely, does not return: the advertising budget is wasted. With a bot the scenario is different. The widget greets the visitor, answers questions about price and delivery, offers to leave a contact or place an order directly in the chat, records the request in CRM and in the morning transfers the already warm client with a correspondence history to the manager.
The same mechanism works in Telegram and VKontakte: advertising does not lead to a “dead” landing page, but to a bot, which immediately engages you in dialogue. The conversion from a click to an application is higher for such a link, because a person receives an answer instantly and is not left alone with his questions. Essentially, the bot squeezes the traffic that you have already paid for, but which previously slipped through your fingers.
Conclusion
A chatbot today is not a “fashionable feature”, but a way not to lose clients and relieve the workload of the team. He works around the clock, responds instantly, qualifies and warms up, and forwards complex questions to people in a timely manner.
If you are losing applications due to slow responses or managers are drowning in routine, the bot solves both problems. The Dom Marketing agency has been engaged in implementation of AI and chatbots turnkey: from script to integration with CRM and launch. You can start with a free analysis: we’ll show you which tasks in your business should be automated first.