Ajayi Olaifeoluwa's Work | ContraWork by Ajayi Olaifeoluwa
Ajayi Olaifeoluwa

Ajayi Olaifeoluwa

Gohighlevel Funnel & Automation Specialist

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Cover image for An automated client follow-up workflow
An automated client follow-up workflow designed for cleaning businesses. This system segments leads based on selected cleaning services, applies smart tagging, sends personalized email sequences, and automates follow-ups to improve response rates and customer engagement.
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Cover image for This project is a multi-branch
This project is a multi-branch automated reminder workflow designed to improve lead engagement and follow-up efficiency through personalized email automation. The system intelligently routes contacts based on selected interests or form responses, ensuring every user receives a targeted communication sequence. The workflow includes conditional branching, customized email delivery, timed wait actions, reminder sequences, timeout handling, and automated follow-up emails. Different user paths were created for software inquiries, website-related inquiries, and unmatched conditions, allowing the automation to adapt dynamically to user behavior. The process was built to reduce manual follow-up tasks, improve response rates, and maintain consistent communication with leads throughout the customer journey. My role involved workflow architecture, automation logic setup, condition mapping, email sequence structuring, timing configuration, and visual process organization to ensure scalability, clarity, and efficient user flow management.
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Cover image for This workflow was designed to
This workflow was designed to automate lead enrichment and AI qualification for sales or outreach systems. It uses conditional routing to decide whether a company requires enrichment data before qualification. The process includes website scraping through Apify to collect missing business information such as company description or employee count. Extracted data is then structured and passed into an AI qualification module powered by GPT-4o-mini, which scores each lead against the ideal customer profile (ICP). The system returns qualification status, lead score, reasoning, and recommended action with structured JSON parsing and error handling for reliability. My role included workflow architecture, automation logic, node configuration, API integration, and clean visual process design for scalability and easy maintenance.
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Cover image for Built a fully automated reminder
Built a fully automated reminder workflow in GoHighLevel to improve lead engagement and follow-ups. The system uses conditional branches, timed reminders, customized emails, and automated follow-up sequences based on user actions and form selections. Designed to reduce missed responses, increase conversions, and streamline communication for different customer interests.
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