
Pug.ai
Automated the entire lead pipeline from scrape to Instantly-powered email campaigns.
20K+/mo
Leads enriched
40/wk
Hours saved
95%
Campaign accuracy
Sales team spent 40+ hours a week researching, segmenting, and enriching outbound lead lists.
How We Solved It
Built n8n workflows for scraping, segmentation, ICP verification, enrichment, and Instantly campaign automation connected to their backend APIs.
Role
AI Automation Engineer
Audience
B2B AI Lead Gen Companies
Timeline
4-6 Weeks
Tools
Understanding the Problem Space
Through comprehensive analysis of Pug.ai's operations, we identified key bottlenecks and inefficiencies. The manual processes were not only time-consuming but also prone to errors, creating a significant drag on productivity and scalability.
Automation Overview
Real-time monitoring of all automated workflows
20K+/mo
Leads enriched
40/wk
Hours saved
95%
Campaign accuracy
Real-time monitoring of all automated workflows
Key Insights
- •Manual processes were consuming 40-60% of team time on repetitive tasks
- •Error rates in manual workflows were significantly higher than automated processes
- •Scalability was limited by human capacity, not system capabilities
- •Team members were eager to offload routine work to focus on strategic initiatives
Translating Insights into n8n
We translated our research insights and design principles into concrete n8n workflows. Each workflow was carefully architected to be maintainable, scalable, and aligned with business objectives.
Main Workflow - Lead Processing
Complete automation workflow structure showing lead ingestion, enrichment, and routing

Node Configuration - Data Transformation
Detailed node setup and data transformation logic

Execution Logs - Workflow Monitoring
Workflow execution history, success rates, and error handling

Integration Setup - API Connections
Third-party integrations and API connection configurations

Collaboration
Worked with Pug.ai's backend engineers and PMs to design data models and email cadences.
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