Beehiiv → ChatGPT → ConvertKit: Newsletter Growth Engine

Pull newsletter analytics from Beehiiv including open rates, click rates, subscriber growth, churn data, and top-performing content themes. Export subscriber segments based on engagement levels to identify at-risk and highly engaged cohorts for targeted re-engagement. Track referral program performance to understand which growth channels are most effective.

Aggregate the Beehiiv exports into a Google Sheets workbook that tracks performance metrics over time. Calculate month-over-month growth rates, engagement decay curves for different subscriber cohorts, and content topic performance rankings. This longitudinal view gives the AI a much richer context for identifying what is actually driving growth versus seasonal noise.

Analyze the performance data and historical trends with ChatGPT to identify what content resonates, optimal send times, and subscriber lifecycle patterns. Generate a growth strategy that includes subject line improvements, content mix recommendations, and re-engagement sequences for churning subscribers. ChatGPT also recommends referral incentive structures based on what has driven the highest viral coefficients.

Implement the AI-recommended strategies in ConvertKit by creating automated email sequences for welcome series, re-engagement campaigns, and upsell flows. Use ConvertKit's tagging and segmentation to ensure each subscriber receives the most relevant content based on their engagement history. A/B test the AI-generated subject lines and content structures to validate recommendations with real data.