The Scenario
It's Tuesday morning and the BDR team's stand-up is in 45 minutes. You're the inbound marketing manager at a B2B SaaS company and the weekly list — 80 leads that scored above 70 in LeadBoxer this week — is supposed to be sitting in Google Sheets, ready to work from. It's not there yet because you're the one who builds it.
The bad version:
- Export a CSV from LeadBoxer's lead view, filtered by score threshold, and open it in Sheets
- Delete the columns the BDR team doesn't use, rename the ones they do, reformat the date column from ISO to something readable
- Paste the cleaned data into the shared Sheet and ping the team lead that it's ready
The meeting is in 45 minutes. You have two other things that were supposed to be done an hour ago. This report isn't complex analysis — it's a data transfer — and it's sitting on your calendar every single Tuesday.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands the structure, and through its built-in LeadBoxer integration it fetches full lead profiles for you — no export, no cleanup pass, no formatting work.
For each lead ID in column A, fetch the full lead detail from LeadBoxer and write company name, lead score, number of sessions, last activity date, and country into columns B through F
What You Get
- Column B: company name as it appears in LeadBoxer
- Column C: numeric lead score (the raw value, not a label)
- Column D: total session count across all visits
- Column E: last activity date formatted as MM/DD/YYYY
- Column F: country detected by LeadBoxer's IP lookup
- Rows where the lead ID didn't resolve in LeadBoxer are flagged with "Not found" in column B so nothing silently disappears
What If the Data Is Not Quite Ready
The lead IDs are mixed with empty rows and header text
Column A has lead IDs starting at row 2 but some rows are blank — skip any row where column A is empty or non-numeric and fetch profiles only for valid lead IDs
The sheet needs a priority label added alongside the score
For each lead ID in column A, fetch their LeadBoxer lead score into column C and then add a priority label in column D: HOT if score is above 80, WARM if 50 to 80, COLD below 50
The lead IDs come from two different tabs that need to be merged first
Combine all lead IDs from Sheet1 column A and Sheet2 column A into a deduplicated list, then for each unique ID fetch the LeadBoxer lead profile and write company, score, sessions, last activity, and country into Sheet3 columns A through F
Clean stale data, pull fresh profiles, and flag leads ready for immediate outreach — in one shot
In Sheet1, clear columns B through F for all rows, then for each lead ID in column A fetch fresh data from LeadBoxer — company name, score, sessions, last activity date, country — and flag any lead with a score above 80 and a session count above 5 as "CALL TODAY" in column G
One prompt handles the cleanup, the pull, and the triage. You walk into the stand-up with a sheet that's done three jobs.
Try It
Get the 7-day free trial of SheetXAI and open a Google Sheet with a column of LeadBoxer lead IDs, then ask it to fetch full profiles for the whole list. When you're done, explore exporting behavioral events for funnel analysis or return to the LeadBoxer integration overview.