The Scenario
You're a revenue ops analyst. Last week, the Salesforce team completed a cleanup — they identified 80 defunct company accounts and 150 ghost contact records that had been sitting in the CRM without activity for over a year. The architect told you: "These are also in Specific. Get them out of there before we close the quarter." You have a Google Sheet with two tabs: company_ids in column A of tab 1, contact_ids in column A of tab 2. Specific's cleanup deadline is end of next week.
The bad version:
- You open Specific's companies interface and start searching for the first company ID. The search doesn't support IDs — you search by name, find the match, open the record, and hit delete. Three confirmation clicks per company.
- After 12 companies you've spent 35 minutes. At this rate, 80 companies will take nearly five hours — and then you still have 150 contacts to do.
- Midway through, you delete a company and discover it had conversation records attached. Specific asks if you want to delete those too. You're not sure. You stop to check with the team. The cleanup drags into next week.
You were handed a list of IDs and told to clean them up. That should be a 10-minute task, not a multi-day event that requires three conversations about data dependencies.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your ID lists, connects to Specific through the built-in integration, and can execute bulk deletions — writing back the status for each row so you have a complete audit trail without clicking through a UI 230 times.
Delete each Specific company whose company_id appears in column A of this sheet — write 'deleted' or the error message into column B for each row
What You Get
- Each company_id in column A processed against Specific's delete endpoint.
- Column B populated with 'deleted' for each successful deletion, or the specific API error for any that failed — so you can see which records were protected by dependencies without guessing.
- A row-level audit trail that proves the cleanup happened, which the Salesforce team can use to verify alignment.
- The same pattern works for contacts: point the prompt at the contact_id tab and replace the entity type.
What If the Data Is Not Quite Ready
Some IDs may have already been deleted in a previous cleanup pass
For each company_id in column A, attempt to delete the record in Specific — if the record doesn't exist, write 'NOT FOUND' in column B; if deleted successfully, write 'DELETED'; if an error occurs, write the error message
You need to delete contacts from a separate tab
For each contact_id listed in column A of the 'Ghost Contacts' tab, delete the corresponding user record from Specific and write the deletion status into column B
You want to delete companies and their associated contacts together
For each company_id in column A, delete the Specific company record and any contacts whose company association matches that ID — write 'company deleted, N contacts deleted' or the error into column B
Full batch cleanup across both entity types in one shot
First, for each company_id in column A of the 'Defunct Companies' tab, delete the Specific company and write the status into column B. Then, for each contact_id in column A of the 'Ghost Contacts' tab, delete the Specific user record and write the deletion status into column B. Flag any row where the deletion failed with 'FAILED' at the start of the status message.
One pass, both lists, full audit trail — ready to hand back to the Salesforce team as confirmation.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with a list of Specific IDs flagged for removal — then ask it to process the deletions and write the status back row by row. See also how to bulk-import replacement records after the cleanup, or export all contacts to verify the final state.