The result of such a strategy is always the same: an avalanche-like increase in muted notifications and direct bot blocks. In Telegram, the mute button is just two clicks away from the user. If the content does not fall within their personal interests, they get rid of the irritant instantly and forever. Bringing such a customer back into the sales funnel is practically impossible.
The solution to this problem is transitioning from mass broadcasts to targeted work. Database segmentation allows you to send messages only to those customers for whom your offer is relevant right now. This increases sales conversion several times over and preserves audience loyalty.
Why mass mailings to "everyone" no longer work
User behavior in messengers is very different from their behavior when working with email. People are used to cleaning their inbox once a week, and mountains of spam there are often simply ignored. Telegram is a space for personal communication. Messages from brands arrive in the same chat list where conversations with friends, colleagues, and family are located. Every irrelevant notification is perceived as an invasion of personal boundaries.
When a business sends mass messages indiscriminately, it faces the following consequences:
- Database burnout. Users mute chat notifications. They simply won't see your next, even super-profitable offer.
- Mass blocks. Customers press the stop bot button. For a business, this means the irreversible loss of a contact for whose acquisition money has already been paid.
- Drop in sales. Due to the abundance of uninteresting content, trust in the brand falls. The customer leaves for competitors who communicate with them more respectfully and send only the necessary information.
Four key criteria for database segmentation
For mailings to be profitable, the user base must be divided into groups. In a Telegram bot, this is done automatically by assigning tags based on user actions. Here are the four main criteria for division:
1. Purchase history and average order value
Divide customers by their purchasing activity. Highlight those who buy frequently and in large quantities (loyal customers), those who made only one purchase, and those who registered in the bot but never ordered anything. The offer for a regular customer should differ from the offer for a newcomer. For example, a newcomer can be offered a welcome discount, while a regular customer can get early access to a new collection.
2. Interests and product categories
If you have a интернет-магазин with a wide assortment, track which catalog sections the user opens most often. It is foolish to offer beard care products to female customers. Record interest in specific categories and make targeted product selections.
3. Stage in the sales funnel
Not all bot users are ready to buy right now. Someone is at the selection stage, someone put an item in the cart and got distracted, and someone uses services regularly. A reminder about an abandoned cart should only go to those who actually did not complete оформление заказа, not to the entire customer database.
4. Time since last contact
Isolate a segment of customers who have not made purchases and have not entered the bot for more than 30 or 60 days. They need a special win-back scenario with a strong offer, while active customers do not necessarily need to be disturbed with discounts — they already buy at the regular price.
How the segmentation process works from the inside
To implement such a system, you do not need to perform complex manual actions. All processes are automated at the intersection of the Telegram bot and your CRM system. When a user interacts with the bot — navigates through menu sections, searches for products, places orders — the system automatically assigns them the appropriate tags.
In the control panel, you can configure sending messages using complex filters. For example: "send a message to all women who were interested in the footwear category this month but did not make any purchases." The bot itself will select the right contacts and instantly deliver a personalized offer to them.
An excellent example of working with targeted interests is our own product PriceTrack. This is a specialized bot for tracking prices in online stores. It sends a notification to the user only when the price drops on the exact product that this user added to their personal wishlist. No general spam — only personal utility, which guarantees the highest level of message open rates and trust from users.
Personalized offer scenarios: "before and after" examples
Let's look at how business results change when transitioning from mass mailings to segmented ones using specific examples.
Example in the service sector (beauty salon)
Before: Mailing to the entire database: "We have new comprehensive facial care programs! Sign up!". Conversion is minimal, as the service is not relevant to men and young clients.
After: The message is sent only to women of a certain age group who have previously used the services of a cosmetologist in this salon. The booking conversion rate increases several times over.
Example in an online auto parts store
Before: Mailing "Discount on motor oils for all customers!". Most people simply scroll past the message.
After: The bot analyzes the date of the last oil purchase by a specific customer and their car brand. Six months after the purchase, the bot sends a message: "Hello! According to our calculations, it's time to change the oil in your car. We have already selected suitable options for your model with a discount." The customer feels cared for and makes a repeat purchase.
Safety rules: how to avoid mass unsubscribes
Even a segmented mailing can cause negative reactions if you violate the basic rules of communication in messengers. To ensure your messages are anticipated rather than blocked, adhere to the following principles:
- Observe moderation. The optimal frequency of mailings is no more than once or twice a week for a single segment. The only exceptions are service уведомления о статусе of an order or an appointment.
- Provide an option to customize notifications. Add a settings menu to the bot where the user can choose which events they want to receive messages about (for example, only about major sales or only about changes in their order status).
- Write in simple language. Avoid long texts. A message in Telegram should be short, clear, and contain a distinct call to action with a convenient button to go to the catalog or cart.
- Respect the customer's time. Do not send mailings late at night or early in the morning. Set up automatic message sending taking into account the user's time zone.
Where to start with implementing smart mailings
Transitioning to segmented mailings is a step-by-step process that pays off in the very first weeks of the updated system's operation:
- Conduct an audit of your current database. Determine what customer data you already have in your CRM system (gender, purchase history, preferences) and how it can be linked to Telegram profiles.
- Formulate the first two or three segments. Start with something simple: for example, divide the database into active buyers and those who registered but haven't bought anything yet.
- Set up automatic data collection. Refine the scenarios of your Telegram bot so that it records user actions and transfers this data to the accounting system.
- Launch a test campaign. Prepare a personalized offer for one small segment and evaluate the results in comparison with past mass mailings.
If you want to turn your Telegram bot into a powerful sales tool that communicates with each customer individually and brings stable profit, entrust this task to professionals. The team of the BotCreator studio will help you design the correct data storage structure, set up integration with your CRM system, and launch effective automatic mailing scenarios.<
Contact us on the website botservice.biz to discuss your task and calculate the cost of developing a smart bot for your business.
