agilecrm/campaigns-merge-fields

Campaigns Merge Fields Documentation in Agile CRM

campaigns-merge-fields's Issues

Missing documentaiton for Ticket Fields

The only field I can find is {{ticket.requester_name}}, which has no documentation. Please add documentation for this feature. Thanks!

Fields not working as expected in E-mail Templates

The fields in boldface does not work when using template to e-mail a contact.

Name: {{first_name}} {{last_name}}
Title: {{title}}
Company: {{company}}
Address:
{{location.address}}
{{location.city}}, {{location.state}} {{location.zip}}
{{location.country}}

E-mail: {{email}}
E-mail (Work): {{email_work}}
E-mail (Home): {{email_home}}
Linked In: {{linkedin_id}}
Twitter: {{twitter_id}}
Website: {{website}}

Phone: {{phone}}
Phone (Mobile): {{phone_mobile}}
Phone (Work): {{phone_work}}
Phone (Main): {{phone_main}}
Phone (Home): {{phone_home}}
Phone (Other): {{phone_other}}

Fax (Work): {{phone_work_fax}}
Fax (Home): {{phone_home_fax}}

Missing documentation for {{form.field}}

This documentation seems to be missing the complete documentation on how to use form fields in Merge Fields for Campaigns.

I have two form fields named id=support and id=support-2

They are saved as notes, when I try to use them in a Campaign by using {{form.support}} and {{form.support-2}} like I have used when creating forms before, I get no output.

Tracking merge fields to use in emails seems like it should not be this complicated.

Extract data from API, merge field type, with Python

I need to separate the parts of a unique key {{ contact.utm_source }} from the GoHighLevel API, with Python (Pandas and Requests).

— "Contact" is a dataset from the df_Contacts dataframe and unique key "id" (I have the Contacts API).

— "utm_source" appears as a value in the [fieldKey] column of the df_CustomFields dataframe, and also a column with values ​​that I cannot access through the API, but can check through the CRM (I have the CustomFields API).

I need to transform "utm_source" into a column and iterate with the "contacts".
Note: "id" is a column in the df_Contacts dataframe but does not appear in the df_CustomFields dataframe, it is implicit in "contacts" in the key {{ contact.utm_source }} .

I used the functions below but I only managed to get an empty table:

• fetch_and_prepare_data
• extract_merge_fields
• map_utm_source_to_contacts

I need to know if there is any other better approach or reference script so I can solve this problem.