Automate Company-Level Lead Enrichment-10X Better Insights

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Workflow Name:

Lead Company Enrichment from Google Sheets
Purpose:

Auto-enrich company-level data from domain names
Benefit:

Saves manual research time and increases data accuracy
Who Uses It:

Sales; SDRs; Marketing Ops; Research teams
System Type:

Google Workspace
On-Premise Supported:

Not required; cloud workflow
IPSec Guide Link:

Not applicable
Supported Protocols:

HTTPS/REST
Industry:

SaaS, B2B, Technology, Marketing & Sales, Lead Generation, Demand Generation, Enterprise Software
Outcome:

90% faster; 100% accuracy
Category: Tags: , , , , , , , , , , , , , ,

Description

Problem Before:

Teams manually researched companies; causing slow outreach and inconsistent data
Solution Overview:

Workflow fetches domains; enriches via crawler; and writes enriched data back
Key Features:

Auto data extraction; enrichment; mapping; and writeback to Sheets
Business Impact:

80% faster research cycle and better lead qualification
Productivity Gain:

Cuts manual research time by 60-70%
Cost Savings:

60% lower manual costs.
Security & Compliance:

Ensures only public data is used

Company-Level Lead Enrichment

Accelerate Company-Level Lead Enrichment by automating data extraction, enrichment, and verification. This no-code workflow enhances every company profile with firmographic, technographic, and financial insights, reducing manual research and enabling smarter, data-driven decision-making.

Smart Data Mapping & Validation

Using intelligent data mapping, the system extracts key attributes such as company size, industry, revenue, technology stack, locations, and key contacts. It validates, enriches, and standardizes all information before updating your CRM or analytics platforms — delivering 10X higher accuracy, stronger segmentation, and more targeted outreach.

Watch Demo

Video Title:

How to Transform & Enrich Company Domains with AI Workflow Automation?
Duration:

01:28

Outcome & Benefits

Time Savings:

70-80% faster research cycles
Cost Reduction:

Cuts manual research labor costs
Accuracy:

Provides 90%+ accurate public data
Productivity:

5? more companies enriched/day

Industry & Function

Function:

Sales; Marketing Ops; Research
System Type:

Google Workspace
Industry:

SaaS, B2B, Technology, Marketing & Sales, Lead Generation, Demand Generation, Enterprise Software

Functional Details

Use Case Type:

Company-level data enrichment
Source Object:

Company domain names
Target Object:

Enriched company dataset
Scheduling:

On-demand or hourly
Primary Users:

SDRs; BDRs; Marketers
KPI Improved:

Lead quality; research time
AI/ML Step:

Extracting company attributes & ice-breakers
Scalability Tier:

High-volume enrichment

Technical Details

Source Type:

Google Sheets API
Source Name:

Google Sheets
API Endpoint URL:

https://sheets.googleapis.com/v4/spreadsheets/{sheetId}
HTTP Method:

GET/POST
Auth Type:

OAuth 2.0
Rate Limit:

Google Sheets default limits
Pagination:

Range-based pagination
Schema/Objects:

Domain list; enrichment fields
Transformation Ops:

Field mapping & enrichment
Error Handling:

Auto retry + fallback row skip
Orchestration Trigger:

Manual or scheduled
Batch Size:

~100 rows per batch
Parallelism:

Multi-threaded crawling
Target Type:

Google Sheets API
Target Name:

Google Sheets (Enriched tab)
Target Method:

Append/update rows
Ack Handling:

Writeback confirmation
Throughput:

500-1000 companies/hr
Latency:

Seconds per domain
Logging/Monitoring:

API logs + enrichment logs

Connectivity & Deployment

On-Premise Supported:

Not required; cloud workflow
IPSec Guide Link:

Not applicable
Supported Protocols:

HTTPS/REST
Cloud Support:

Fully cloud-native
Security & Compliance:

Ensures only public data is used

FAQ

1. What is the goal of company-level lead enrichment?

The goal is to enhance lead records with company insights such as firmographics, size, industry, tech stack, and revenue to improve targeting and lead qualification.

2. How does the system validate and map company data?

The workflow uses automated data mapping, domain matching, and validation rules to verify company details, remove inconsistencies, and standardize profiles.

3. Can company-level enrichment run in real time or on a schedule?

Yes. Enrichment can run in real time for instant qualification or be scheduled for periodic batch updates depending on business needs.

4. What happens if a company record cannot be identified or matched?

Unmatched company records are flagged for review. The system retries enrichment, applies alternate data sources, or routes them for manual verification.

5. Does the platform support large-scale company enrichment?

Yes. The platform supports high-volume company datasets, enabling bulk enrichment with reliable accuracy, governance, and performance.

6. What are the benefits of automating company-level lead enrichment?

Automation improves lead quality, enhances segmentation, supports better ICP matching, boosts targeting accuracy, and drives higher conversion rates.

Resources

Blog:

5 Reasons to Automate ERP Integrations ? https://…

Case Study

Customer Name:

Global SaaS Enterprise
Problem:

Poor lead qualification due to missing or inaccurate company data
Solution:

Automated Company-Level Lead Enrichment
ROI:

4 FTEs redeployed; 3?month payback
Industry:

SaaS, B2B, Technology, Marketing & Sales, Lead Generation, Demand Generation, Enterprise Software
Outcome:

90% faster; 100% accuracy

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