The Scenario
You are a strategic account manager heading into your quarterly account planning session with the leadership team. You have 50 priority accounts. You know their Salesforce records have the data you need — industry, annual revenue, last activity date, number of open opportunities — but you have been building your planning workbook in a Excel workbook, and it currently has nothing but company names in column A.
The planning session is Thursday. It is Tuesday afternoon.
The bad version:
- Open Salesforce, search for the first account name, open the record, manually copy the industry, the annual revenue, the last activity date into your workbook.
- Go back to Salesforce, search for the next account, repeat.
- Somewhere around account 15, you start second-guessing whether you copied the right revenue number for account 12.
- Spend an hour doing data transcription when you should be doing account analysis.
The information is all in Salesforce. The planning workbook is in your workbook. The gap between them should not take two hours to close.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your account names, queries Salesforce for the matching records, and writes the results directly into your columns — no tab-switching, no manual lookups.
For each account name in column A of my workbook, search Salesforce and write the matching account ID, industry, and annual revenue to columns B, C, and D.
What You Get
- Salesforce account data written to your workbook, one row per account.
- Each column populated with the value from the matching Salesforce record — ID, industry classification, annual revenue as a number.
- Any account names that do not match a Salesforce record get a no match note in column B so you know which ones to investigate.
- All 50 rows processed in one pass.
What If the Data Is Not Quite Ready
Account names in your workbook do not exactly match Salesforce
Your sheet has Acme Corp. Salesforce has Acme Corporation. The lookup fails on exact match.
For each account name in column A, search Salesforce for the closest matching account using fuzzy name matching — write the matched account name, ID, industry, and annual revenue to columns B through E. Flag any low-confidence matches in column F.
You need open opportunity count, not just static fields
For each account, you want to know how many open opportunities exist — a dynamic count, not a stored field.
For each account ID in column B of my workbook, run a SOQL query to count the number of open Salesforce opportunities for that account and write the count to column E.
You need last activity date from a related object
Last activity on the Account record in Salesforce is not always populated — activity often lives on the related Contact or Opportunity. You need the most recent activity date across all related objects.
For each account ID in column B, query the Salesforce ActivityHistory related list and find the most recent activity date — write that date to column F.
Build the full account planning view in one shot
You want account name, Salesforce ID, industry, annual revenue, last activity date, and open opportunity count — all populated from Salesforce in a single pass.
For each account name in column A: find the matching Salesforce account, write the account ID to column B, industry to column C, annual revenue to column D, last activity date to column E, and the count of open opportunities to column F.
One prompt builds the entire planning view.
Try It
Get the 7-day free trial of SheetXAI and open your next account planning sheet, then ask it to pull the Salesforce data for every row. You can also export a full SOQL query result into an Excel workbook, or see the complete Salesforce integration overview.
