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Scenario: onboarding to the service using a chatbot in your personal account

Posted: Tue Jan 21, 2025 5:54 am
by sakibkhan22197
How the script works

The user registered in the service and activated the trial. When registering, he left an email.
Immediately after registration, the user will receive the first letter from the onboarding chain of letters by email.
The following letters can be sent every other day to help the user list of argentina cell phone number understand the functionality of the service and motivate him to buy the full version. The number of letters in the chain and the frequency of sending depends on the duration of the trial period.
Onboarding to the service using emails
The Marquiz service team set up this onboarding scenario :

Onboarding email snippet
Onboarding email snippet
Result for the month:

+ 36,180 rubles in revenue from the onboarding chain.

The purpose of the script is to help the user understand the service and start using it.

How the script works

The user registered in the service and logged into his personal account.
In 20 seconds, a chatbot will appear, offering assistance in mastering the service.
You can include qualifying questions in your chatbot script to help you select relevant content for the user.

Onboarding to the service using a chatbot in your personal account
An example of such a chatbot was shown in the case of the online service Moneyplace . The free period in Moneyplace is 7 days. If the user has registered in the service and has not paid for the subscription, the chatbots in the personal account continue to warm him up until payment.

After authorization, users are met by a chatbot that helps them understand the main questions about the service and collects requests for consultation.

The chatbot qualifies the user so that the manager can immediately see what question the client is interested in and can prepare a personalized offer.

Chatbot that is triggered after authorization in the platform
Chatbot that is triggered after authorization in the platform
Chatbot results for 4 months:

→ 459 requests for consultation;
→ 18% of users who started a dialogue with the chatbot left their phone number.

Among all the mechanics of Carrot quest, the chatbot brought the most applications after authorization - 41%.