Question on monitoring tables for signals
I import a dynamic list from CRM of prospects that are not customers / active opps
I monitor these accounts for new hires / job postings.
Every day new accounts are added to this list and some are removed because they become active opps / customers, does that automatically add new rows to the signal search and remove opps / customers from the search?
Curious how to achieve this / if i am achieving this
When you import a dynamic list from your CRM, Clay automatically checks this list on a schedule and imports new contacts that meet your criteria. [1]
For monitoring job changes specifically, you can set up Job Change Signals that will monitor contacts in your table for new hires and job postings. [2] However, the signals monitor the existing contacts in your table - they don't automatically add new rows from your dynamic CRM list.
To achieve what you want, you'll need both:
A scheduled import of your dynamic CRM list (which adds new prospects and removes converted ones)
Job change monitoring on the imported contacts
For automatic row removal when prospects become customers, you can enable auto-delete on tables with webhook sources. [3]
I'd recommend trying Sculptor (our built-in AI tool in the top-right corner) to help set up this workflow - it can guide you through building the automation you need.
Is that clear and helpful for you?
Hmm may need more human help here
I understand this can be a bit complex, so I’ll connect you with one of our human agents who can assist you further.
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Hey Garrett- it depends on whether the signal fires off before the accounts are removed. Are you removing them through a dedupe?
Or manually?
no just like imagine we have a list of target accounts
and over time we book mtgs w those target accounts
like how do i ensure we dont monitor accts that are now customers / opps on an ongoing basis
Hey Garrett- apologies for misunderstanding. Could you send me a loom video describing this issue in more detail?
its not an issue, its really just a question!
Hey Garrett- apologies, this is a good question. My instinct is that you'd have the signal run on a longer cadence, and then run a couple of web scraping enrichments or AI enrichments to confirm whether or not those accounts are your competitors. Based on whether they are or not, I'd score them with a formula column with a true or false, and those who fall under false can get filtered out of the list. Does that help or am I misunderstanding the use-case still.
still slightly misunderstanding
