Lead Gen & Marketing AI Automation
Case Study Summary
Client: Confidential - A Packaging Machinery Company
Industry: Packaging Machinery Industry
Impact Metrics:
- Built an automated lead-generation pipeline that surfaced opportunities the same day they were publicly announced.
- Monitored 15+ high-signal news and event sources to identify relevant company triggers.
- Developed personalized cold email campaigns with custom subject lines, achieving over 50% open rates.
- Opened each email with a context-aware, personalized paragraph to immediately capture attention and establish rapport.
- Demonstrated clear, immediate value to the recipient by tailoring each message to their specific situation or challenge.
A packaging machinery company seeking to integrate AI agents into their marketing pipeline to target the right prospects at the right time through cold email outreach.
Challenge
The sales team at a packaging machinery company faced the challenge of keeping up with all the public news on the Internet and social media to find verified leads and then doing further research and reaching out to each one of them using a personalized script. Even RSS feeds had too much noise and not enough signals.
Our Approach
To tackle this challenge, we developed a custom-built AI Internet Navigator that continuously monitored relevant industry events across press releases, public news, and social media platforms. Once a potential lead was identified, we used another AI agent to conduct deeper research and gather additional information about the lead. This enabled us to craft personalized messages and launch automated, targeted email campaigns to reach key decision-makers.
Results & Impact
- Automated 90% of the sales team’s cold email outreach workflow.
- Saved hours of manual work by developing a personalized orchestration of AI agents.
- Improved email open rates in marketing campaigns by an average of 20% through personalization.
- Gained a competitive advantage by being the first to reach out to potential clients.
Solution Overview
Baseline OpenAI end-to-end chat reference architecture
Tech Stack
- OpenAI
- hunter.io & instantly.ai APIs
- PlayWright & API integration
- SQL
- Python
Additional Context
- Timeline: 3 months
- Team Size: 1 person
- Role: AI Engineer
- Expertise in marketing campaign automation
- Focus on OpenAI model integration
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