Demonstration of using Cloud Code to automate hyper-personalized, value-first LinkedIn cold outreach. The creator shows lead discovery via Sales Navigator, scraping and scoring leads with Apify, and generating tailored profile banners and messages using AI. Workflow focuses on high-quality, semi-automated outreach to increase response rates and prioritize best-fit B2B prospects.
– Lead discovery: Uses Sales Navigator to build and export targeted connection lists, preferring connection requests without messages to improve connection rate.
– Data extraction: Demonstrates using Apify scrapers with LinkedIn cookies to download profile data as CSV, then imports it into a Cloud Code project for processing.
– Scoring and qualification: Custom scoring (company size, LinkedIn presence, location, buying power, activity) ranks leads and filters out non-paying or irrelevant prospects.
– Personalized outreach: Generates improved LinkedIn banners, photos and messages via image and text AI (Kai/Nana Banana), assembles an HTML dashboard and runs semi-automated outreach — reported 35% response rate.
Quotes:
Sending just ‘Hey, do you want me to help you?’ — this is BS; it doesn’t work.
We’re doing high-quality, hyper-personalized, value-driven cold outreach.
It’s not 100% automated — it’s 95% automated.
Statistics
| Upload date: | 2026-04-02 |
|---|---|
| Likes: | 434 |
| Comments: | 29 |
| Statistics updated: | 2026-05-02 |
Specification: How I Use Claude Code For B2B Outreach (35% Reply Rate)
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