Overview
A B2B sales team required an automated, AI-driven outbound pipeline to completely replace manual lead research and eliminate generic, low-converting cold outreach.
Impact
The sales team was severely bottlenecked, wasting 20+ hours a week manually scraping LinkedIn and writing generic emails that yielded a sub-2% response rate. To hit their revenue targets, they needed an infrastructure capable of executing hyper-personalization at scale, freeing up the sales team to actually take calls and close deals.
Work
I built an end-to-end “Invisible SDR” using Make.com and advanced LLMs. The pipeline automatically scrapes target B2B companies and enriches the founder’s data via APIs. It then passes the deep context to Claude 3.5 Sonnet, prompting it to draft a hyper-personalized, 3-sentence pitch. Finally, the system syncs the drafted email directly into their CRM (HubSpot) for a quick, 1-click human approval before deploying.
90% Reduction in Research Time
Eliminated manual lead scraping and data entry, buying back over 20 hours a week for the sales team to focus purely on high-leverage sales calls.
Context-Aware Personalization
Leveraged advanced AI to generate highly specific, account-based outreach at scale, significantly increasing positive outbound response rates.