The Scenario
You are an account executive covering mid-market SaaS and your manager just moved you onto a new territory. Your previous book of business is gone. You need a fresh contact list — VP and above, US SaaS companies, 50 to 500 employees, Series B or C funding — ready to import into Salesloft before your ramp review in three weeks.
Your first instinct is to go build this in a data provider's interface. Your second instinct, after spending 45 minutes on that, is to find a faster path.
The bad version:
- Open Crustdata's screener, configure the filters for title, geography, company size, and funding stage, and export the results
- Discover that the export includes 800 contacts but the LinkedIn URLs column has gaps — about 30 percent of rows are missing the URL you need to import into Salesloft
- Manually hunt down missing LinkedIn URLs for the contacts you want most, which takes another hour and still leaves gaps
You end up with a list that is 70 percent ready and 30 percent work-in-progress. That is not a clean import.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It calls Crustdata's decision-maker screener with the filters you specify and writes the results directly into your sheet in the structure you need for import.
Use Crustdata's decision-maker screener to find all VPs and C-suite contacts at US SaaS companies with 50 to 500 employees and at least Series B funding — write name, title, company, and LinkedIn URL into columns A through D. Limit the output to 200 contacts and flag any rows where LinkedIn URL is missing.
What You Get
- Column A: full name
- Column B: current job title
- Column C: company name
- Column D: LinkedIn profile URL
- Any row where Crustdata's dataset did not include a LinkedIn URL is flagged in column E, so you know which contacts need manual verification before import
- Total result count written at the bottom of the sheet
What If the Data Is Not Quite Ready
You need to exclude companies already in your CRM
Before writing results, check column F (which contains existing CRM company names) and exclude any Crustdata results where the company name matches an entry in that column — then write the remaining contacts into columns A through D
The title filter is returning some titles that do not match your ICP — "VP of Janitorial Services" is not your buyer
Use Crustdata to find VP-and-above contacts at US SaaS companies with 50 to 500 employees and Series B or later funding, but filter the results to include only titles containing the words Sales, Revenue, Marketing, Operations, or Technology — write name, title, company, and LinkedIn URL into columns A through D
You need contacts split by company size into two separate sheets for different sequence tracks
Use Crustdata's decision-maker screener to find VP-and-above contacts at US SaaS companies with Series B or later funding. Write contacts at companies with 50 to 200 employees into a sheet called SMB Contacts and contacts at companies with 201 to 500 employees into a sheet called Mid-Market Contacts. Include name, title, company, and LinkedIn URL in each.
One prompt to build the list, enrich each contact, and assign a sequence
Use Crustdata to pull 200 VP-and-above contacts at US SaaS companies with 50 to 500 employees and Series B or later funding. For each contact, also fetch their company's current headcount and last funding date. Write everything into columns A through F (Name, Title, Company, LinkedIn URL, Headcount, Last Funding Date), then add a sequence assignment in column G: C-suite contacts get "Executive Sequence" and VP contacts get "VP Sequence".
The filter, the enrichment, and the routing happen in the same instruction.
Try It
Get the 7-day free trial of SheetXAI and open a blank Google Sheet, then ask it to pull a decision-maker contact list from Crustdata using your ICP filters. Once the list is in the sheet, you can ask it to score contacts, exclude existing CRM accounts, or split by tier for different sequence tracks.