SaaS Onboarding Automation

Created an AI-driven onboarding automation engine for B2B SaaS products. The system analyzes user behavior during trial periods and dynamically adjusts onboarding sequences — sending personalized tutorials, feature recommendations, and timing intervention emails based on engagement signals. Reduced time-to-value by 60% and increased trial-to-paid conversion by 42% across a portfolio of SaaS clients. The engine integrates via SDK or API to track product events — feature usage, session frequency, page visits, and drop-off points. A behavioral segmentation model classifies users into personas (power users, explorers, single-use-case, stalled) and serves onboarding content tailored to each group. Automated triggers activate when specific conditions are met: if a user hasn't returned after three days, a re-engagement email with their most-used feature plus an advanced tip is sent. If a user completes a key workflow (e.g., creating their first report), a congratulatory message with a relevant next-step tutorial fires automatically. A/B testing infrastructure continuously optimizes email copy, send timing, and content format. The analytics dashboard provides cohort analysis, funnel conversion rates, and recommended interventions for at-risk trials.