The Scenario
You are running demand gen for a B2B SaaS company. Overnight, the contact form collected 300 submissions. By 9 AM, the routing rules in your sheet assign each lead to a bucket — enterprise, mid-market, SMB — based on company size. The sales team starts their inbound queue at 9:30. Every one of those submissions needs to be a labeled Pipedrive lead before then.
The last time you had a batch this size, you spent two hours clicking through Pipedrive's lead creation form. You ran out of time before the team started and the reps spent the first hour of their queue with a half-loaded inbox, confused about which leads were new.
The bad version:
- You paste leads into Pipedrive's bulk import tool, which only supports person records — not leads with labels
- You create 300 person records, then manually open each one to create a linked lead and apply the label
- At row 90 you realize the label names in your sheet don't exactly match the label names in Pipedrive, so half the labels are rejected
Three hundred submissions. Four hours of work. Still not done.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the submission data, reads your label column, and creates labeled Pipedrive leads in bulk — no form-clicking, no label-matching guesswork.
Create a Pipedrive lead for each row in InboundForms using title from column A, person_id from column B, value from column C, and label from column D. Write the returned lead_id into column E.
What You Get
- A Pipedrive lead created for each row with the correct label applied
- The returned lead_id written into column E for every successful row
- Rows where the label does not match a Pipedrive label name surface with an ERROR in column E rather than silently creating an unlabeled lead
- Rows that succeed immediately appear in the sales team's lead inbox, segmented by label
What If the Data Is Not Quite Ready
The label values in the workbook don't exactly match Pipedrive's label names
For each row in InboundForms, map the segment value in column D to the Pipedrive label: Enterprise maps to hot, Mid-Market maps to warm, SMB maps to cold. Create a Pipedrive lead with the mapped label and write the lead_id into column E.
Some rows are missing a person_id and need a person created first
For each row in InboundForms where column B is empty, create a Pipedrive person using the contact name in column F and email in column G, write the new person_id into column B, then create the lead using the person_id. Write the lead_id into column E.
You only want to create leads for rows that have not been processed yet
For each row in InboundForms where column E is empty, create a Pipedrive lead using columns A through D. Write the lead_id into column E. Skip any row that already has a value in column E.
You need person creation, lead creation with label, and a follow-up email activity all in one pass
For each row in InboundForms: create a Pipedrive person using the name in column F and email in column G if column B is empty, writing the person_id into column B. Then create a labeled lead using the person_id and segment in column D. Then create a follow-up email activity due tomorrow morning linked to the lead. Write lead_id into column E and activity_id into column H. Flag failures in column I.
The pattern is to describe the full routing sequence — person, lead, activity — in one prompt rather than three separate operations.
Try It
The next time an overnight batch of form submissions lands, Get the 7-day free trial of SheetXAI and open your routing sheet. Ask it to create the labeled Pipedrive leads before the team's queue opens. Then see the spoke on converting leads to deals in bulk once those leads are qualified.