Collecting a subscriber base for a Telegram bot

[sakibkhan22197]

Scenario: Collecting a subscriber base for a Telegram bot using a pop-up on an attempt to leave
The goal of the script is to proactively collect a subscriber base for the Telegram bot from the site, qualify users and motivate them to leave a request for a consultation with a manager.

How the script works

If the user has not left a request, is not subscribed to the Telegram bot and tries to leave the site, he sees a pop-up with a lead magnet. For example, in exchange for answering questions in the Telegram bot, you can offer help in finding an apartment that meets the user's requirements or a selection of floor plans as a gift.
The user goes to the Telegram bot. His answers are recorded in the user card in Carrot quest. You can also set up the transfer of answers to CRM.
After answering the questions, the user receives a message with the promised lead magnet and an offer to leave a request for a consultation with a manager.
More scenarios for Telegram bot in our map

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Warm-up
Carrot quest helps to warm up leads from the database to motivate them to leave a request. Mechanics with welcome chains and mass warming up mailings were shown.

Mechanics: welcome series of letters
Scenario: Warming up users with a welcome chain
The goal of the script is to introduce users to the company, its list of sweden cell phone number advantages, and motivate them to leave a request.

How the script works

A user who has not yet made a purchase from you subscribes to the newsletter.
He receives the first letter immediately after subscribing.
The rest of the welcome chain letters arrive every 1–3 days.
In the last letter of the welcome chain, the user receives a special offer, which should motivate him to leave a request for a consultation with a manager.
You can send a welcome chain either via email or in a Telegram bot.

Welcome series of letters
Soon in Carrot quest it will be possible to send messages at the optimal time when the user is most likely to read it.

For example, you set up a message to be sent 24 hours after a trigger event. The system will automatically reschedule the sending if the sending time falls on:

working hours from 9:00 to 18:00;
evening after 9 pm;
weekend.
If the user receives the message at a time convenient for him, when nothing distracts him, then the likelihood of reading it will be higher.