I was wondering we have a number of campaigns that does some data management. The way I have been testing locally on my machine is as follows. I have a check if the lead has an expected field. If they do I check if they have a primary job field related to their job title (it’s like a grouping as such). If they do not I assign them that primary job and then remove them from the campaign. if they already have the field assigned i remove them from the campaign.
I know that when our campaign update runs they will be added back to the campaign as we have set that leads can restart the campaign. I am wondering if this will cause too much extra processing especially as the segment has 20K plus leads at the moment, and it can grow.
I am wondering is this the sort of thing others are doing as part of their data management
I had a chat with the head of marketing today about what they wanted to achieve and propesed a solution for them which he is very happy with. Essentially the same as i described above but without all those remove from campaign action. We only have one if they do not meet any of the criteria.
I added a “Remove from this Campaign” action inside the campaign, which was based on a segment.
As the contacts were still in the segment, they were added back to the campaign (by the cron, which runs each minute).
My campaign-conditions were heading the contact right to the same action “Remove from this Campaign”.
In 20 hours my mautic database grew > 6Gb (from 430Mb to 7Gb).
There were campaign_lead_event_log and lead_event_log that were full with actions of that campaign.
I had to solve it trough MySQL-commands with the use of ChatGBT.
