- 1. Getting Started
- 2. What's New
- 3. Dashboard
- 4. Contacts
- 5. Components
- 6. Channels
- 7. Campaigns
- 8. Reports
- 9. Points
- 10. Stages
- 11. Categories
- 12.1. Citrix Plugins
- 12.2. Clearbit
- 12.3. ConnectWise
- 12.4. FullContact
- 12.5. Gmail
- 12.6. Hubspot CRM
- 12.7. iContact
- 12.8. Mailchimp
- 12.9. Microsoft Dynamics CRM
- 12.10. Microsoft Outlook
- 12.11. Pipedrive
- 12.12. Salesforce CRM
- 12.13. Sugar CRM
- 12.14. Twitter
- 12.15. vTiger CRM
- 12.16. Zapier
- 12.17. Zoho CRM
- 12.18. Social login
- 12.19. Field Mapping
- 12.20. Integration Testing
- 13. Use Cases
- 14. Cron Jobs
- 15. SAML SSO
- 16. Queue Support (RabbitMQ/Beanstalkd)
- 17. Themes
- 18. Translations
- 19. Tips & Tricks
- Published with GitBook
Lead lists were renamed to segments in Mautic 1.4.0.
Segments provide ways to easily organize your contacts. These segments can be configured from a variety of fields.
When viewing all segments you will notice the column on the right which shows the number of contacts matching that particular segment.
In addition, these filters can be combined to either be inclusive or exclusive depending on your needs.
Once you have selected the field you can then choose the type of operation to perform. These vary depending on the way you wish to filter your contacts.
If you want to divide your segment based on certain criterion, and you wish to avoid sending duplicate emails to the (sub)segments, you can view and alter them through typing the alias name of the contact segments separated by '+' only. You can add n contact segments to have their common, but you will always recieve the result as the intersection of the subsets. You can then manipulate the contacts to remove them from either one subset or all, hence avoiding duplicate emails to the same leads in the subsets.
Matching part of a string
There are 5 filters you can use for matching part of a string -
regexp. First three filters match strings as you enter it.
like filter is for advanced users - you can specify which type you want to use with
My string%is the same as
starts withfilter with
%My stringis the same as
ends withfilter with
%My string%is the same as
My stringis the same as
A few notes for text filters:
containsfilters were added later than the
likeone, so you can easily specify what you need now.
%character in the middle of the string has no special meaning.
my % stringwill search for a string with
%in the middle. The same is true for
%my % string%value. There is no need for escaping this character.
- Mautic searches for
%character in a value for
likefilter and no modification is performed if at least 1
You can use regular expressions in a
regexp filter. Mautic recognises all common operators like
| for OR (
first string|second string), character sets (
[a-z0-9] etc.), repetitions (
?) and more. You have to escape special characters with
\ if you want to use them as matching character. Learn more about regex at https://dev.mysql.com/doc/refman/5.7/en/regexp.html. Please note that MySQL (and Mautic) uses POSIX regex, which could behave differently from other types of Regex.
Date filters allow you to choose a date via DatePicker:
Hovewer you can specify much more here. Mautic recognizes relative formats too (these string are not translatable):
+1 day(you can also use
-2 days(you can also use
2 days ago)
3 weeks ago
3 years ago
Example (Consider that today is
Date identified equals -1 weekreturns all contacts identified on 2018-02-23.
Date identified less than -1 weekreturns all contacts identified before 2018-02-23.
Date identified equals -1 monthsreturns all contacts identified on 2018-02-02.
Date identified greater or equal -1 yearreturns all contacts identified 2017-03-02 and after.
Date identified greater than -1 yearreturns all contacts identified after 2017-03-02.
Beside this you can specify your date with text. These formulas are translatable, so make sure you use them in correct format.
Example (Consider that today is
Date identified equals last weekreturns all contacts identified between 2018-02-26 and 2018-03-04 (Monday to Sunday).
Date identified less than last weekreturns all contacts identified before 2018-02-19.
Date identified equals last monthreturns all contacts identified between 2018-02-01 and 2018-02-28.
Date identified greater or equal last yearreturns all contacts identified 2017-01-01 and after.
Date identified greater than last yearreturns all contacts identified after 2017-12-31.
Once you have created your segment, any applicable contact will be automatically added through the execution of a cron job. This is the essence of segments.
To keep the segments current, create a cron job that executes the following command at the desired interval:
php /path/to/mautic/app/console mautic:segments:update --env=prod
Through the execution of that command, contacts that match the filters will be added and contacts that no longer match will be removed. Any contacts that were manually added will remain part of the list regardless of filters.
In addition to segments you can also manually add any contact to a list by clicking the Preferences button at the segments tab, use the dropdown to select a segment and add the contact to it or click on the x next to a segment in the input field to remove the contact.
Delete all contacts in a segment
Filter the contacts in the segment. The batch delete action in the contact table allows deletion of up to 100 contacts at one time. This is a performance precaution since deleting more contacts at one time could cause issues. This feature can be used for hundreds of contacts.
But deleting thousands of contacts this way in one segment will become a tedious task. Luckily, there is a trick how to let the background workers do the job for you.
- Create a simple campaign which has the segment as the source \
- Use the Delete contact action.
This way the
mautic:campaign:trigger commands will delete all the contacts in the segment. As well as all the contacts which will be added to the segment in the future. Everything is done automatically in the background. The cron jobs must be configured. However, be aware that when a contact is deleted, there is no way to get it back.