Automation Flow - Triggering Personalized Messages with AI
Bulk triggers with AI: customize using the Copilot token and lead fields.
Setting Trigger Flow
In this example, we will use a segment containing all contacts who filled out the Sprinthub University pre-enrollment form, providing name, email and course of interest.
These data — especially the name and the course of interest — will be used later to generate a personalized message.
To learn about the different ways to trigger an Automation Flow, click here.
Automation Flow editing screen.
Send Whatsapp action.
Configuring Send Whatsapp Action
When we use the token {copilot=...}, we can insert line breaks within the content to make the prompt more organized and readable. It is worth noting that the token can be used in any part of the "Send Message" block, according to your preference.
In addition, it is possible to set the level of creativity of the AI response directly in the token, using the prefixes:
temp__creative – for more creative responses with greater variation (more "random").
temp__deterministic – for more direct and predictable responses (more "objective").
Token used in the message:
Writing a prompt inside the Copilot token.
Mass sends with AI can generate high credit consumption on the platform used (e.g.: OpenAI or Gemini). Therefore, it is recommended to prioritize personalized messages for leads with higher conversion potential.
Checking Trigger Messages
As the example below shows, the contact Neto received a personalized message about the registration deadline, based on the course of interest field, which would be Veterinary Medicine.
{copilot=temp__creative
Create a short, engaging message using the lead's course of interest, which would be '{contactfield=curso_interesse}', from Sprinthub University. The lead's name is '{contactfield=firstname}'
The message should remind that registrations for this course are open until October 20th and encourage the lead not to miss the deadline. Use some emojis.
}
