Hyper-Personalized Outreach: Connect Deeper with Automated Prospecting
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Automate hyper-personalized outreach by scraping prospect data from Apollo, enriching it with LinkedIn insights, and crafting tailored messages using AI. This workflow streamlines lead generation and boosts engagement.
About This Workflow
The 'Hyper-Personalized Outreach' n8n workflow is designed to revolutionize your sales and marketing efforts by enabling deep personalization at scale. It begins by leveraging Apollo.io to scrape targeted prospect data, including essential contact information and work emails. This data is then enriched with detailed insights from LinkedIn profiles. Crucially, the workflow utilizes AI, powered by OpenAI, to analyze this gathered information and generate highly relevant outreach messages. By combining data scraping, enrichment, and AI-driven content creation, this workflow ensures every outreach is unique, impactful, and designed to resonate with your target audience, ultimately driving higher conversion rates.
Key Features
- Automated Prospect Data Scraping: Efficiently gather leads and their contact information from Apollo.io.
- LinkedIn Data Enrichment: Augment prospect profiles with detailed information from their LinkedIn presence.
- AI-Powered Message Generation: Craft uniquely personalized subject lines and body content using advanced AI models.
- Data Storage & Management: Seamlessly store valuable prospect data in Supabase for future reference and analysis.
- Customizable Outreach: Adapt the workflow to fetch specific data points and tailor AI prompts for maximum relevance.
How To Use
- Configure Apollo Scraper: Obtain your Apify API key and paste it into the
Apollo Scrapernode. Ensure theurlparameter is set to the Apollo.io search results URL after applying your desired filters. - Set Up Supabase: Create a Supabase table named 'Data' (or adjust the node name accordingly) with columns for
linkedin_urlandemailbefore running the workflow. - LinkedIn Data Enrichment: The
LinkedIn Datanode requires your RapidAPI key for the li-data-scraper API. Ensure thex-rapidapi-keyheader is populated. - AI Personalization: Review the prompts in the
StoryandHTML Modifiernodes. Customize thejsonSchemaExamplein theStructured Output Parsernodes to define the desired AI output structure for your subject and body. - Connect Nodes: Ensure all nodes are correctly connected in sequence, starting from the
When clicking ‘Test workflow’manual trigger. - API Keys: Replace placeholder API keys for Apollo and RapidAPI with your actual credentials.
- Test and Iterate: Run the workflow with a test set of data and review the output, adjusting prompts and configurations as needed for optimal results.
Apps Used
Workflow JSON
{
"id": "23d2fd23-6aac-4b1e-b49a-95dcbcc280a8",
"name": "Hyper-Personalized Outreach: Connect Deeper with Automated Prospecting",
"nodes": 27,
"category": "Sales",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 23d2fd23-6aac...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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