Ops

Create an automated prospecting pipeline to Google Sheets

This play automates the entire prospecting workflow using Lusha. It searches for contacts based on your ICP filters, enriches each prospect with verified contact data, and exports the enriched results directly into Google Sheets.

Instead of manual searches, CSV exports, and enrichment steps, your team gets a continuously updated, analysis-ready prospect list—built automatically.

Why this works

Prospecting is often fragmented: search in one tool, enrich in another, export to Sheets, then clean everything up before use. That friction slows teams down and introduces errors.

This play centralizes discovery and enrichment in Lusha and delivers clean, structured data straight into Google Sheets—where teams already review, score, and prepare lists for action.

What you get

Automated prospect search using Lusha Prospecting filters
Batch contact enrichment (email, phone, title, company, LinkedIn where available)
Direct export to Google Sheets with structured columns
Repeatable list building without manual exports
Clean input for CRM, outreach tools, or analysis

Built by: Lusha

Difficulty: Medium

Tools: Google Sheets, Lusha, Make

Type: Template

How to set it up

Connect your apps in Make

Ensure active connections for:

Lusha: API access for prospecting and enrichment
Google Sheets: permission to create and update spreadsheets

Define your prospecting criteria

Configure Lusha Prospecting filters such as:

Job titles or functions
Seniority level
Industry
Company size
Geography

These filters define who gets added to your sheet.

Configure enrichment fields

Choose which fields to enrich and export, for example:

Work email
Direct or mobile phone
Job title and seniority
Company name and domain
LinkedIn profile

Tip: Start with core fields and expand once quality is validated.

Map fields to Google Sheets

Create a clean sheet structure with columns like:

First name / Last name
Email
Phone
Title
Company
LinkedIn URL
Lead source (e.g., “Lusha Automated Prospecting”)

Set cadence and limits

Decide:

How often the scenario runs (daily, weekly, manual)
How many prospects per run (to control volume and credits)

Test end-to-end

Run the scenario and confirm:

Prospects are found correctly
Enrichment completes successfully
Rows are written cleanly into Google Sheets

What to do next

Add ICP scoring columns: Score prospects inside Sheets before pushing to CRM or outreach.
Deduplicate before export: Check email or LinkedIn to avoid duplicates across runs.
Push approved rows downstream: Send high-fit prospects from Sheets into Salesforce, HubSpot, or Sales Engagement tools.
Create multiple pipelines: Use separate scenarios for different segments (SMB, Mid-Market, Enterprise).
Track sourcing performance: Compare conversion rates by prospecting criteria over time.

The goal: Prospecting should be systematic—not manual. This play turns Lusha into a repeatable, automated lead engine, delivering enriched, sales-ready prospect lists straight into Google Sheets.

No FAQ items available at this time.

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Connect once, run anywhere. Works in Claude, ChatGPT, n8n, Clay, or any agent connected to Lusha.

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