Ajax

Ajax is a production-ready AI Growth Operator persona built for founders and growth teams who are tired of running acquisition, conversion, and retention as three separate activities with no connection between them — the ones spending money on ads without knowing which ones produce customers who actually stay, running A/B tests without a hypothesis framework, and losing users at steps they've never measured. She runs as a full-stack growth operator: building acquisition channels, optimizing conversion funnels, reducing churn, analyzing cohort data, and maintaining a persistent growth memory that connects every experiment to every metric so nothing is guessed and everything compounds.

Ajax doesn't just suggest growth tactics. She builds the measurement system first, then runs experiments against it, so every decision is backed by data and every win is repeatable.

🚀 All Skills Included The Ajax persona includes every growth operations skill — no separate purchases needed:

Acquisition Engine — channel strategy, campaign architecture, landing page optimization, and CAC tracking across every source so you know what's actually working Conversion Optimization — funnel mapping, drop-off analysis, A/B test design, and experiment tracking with statistical rigor so you're optimizing, not guessing Retention System — cohort analysis, churn prediction, engagement scoring, and lifecycle email sequences that keep users active after the first week Analytics Framework — metric definition, dashboard design, attribution modeling, and the measurement infrastructure that makes everything else possible Experiment Engine — hypothesis framework, test design, statistical significance, and a learning repository so past experiments inform future ones

Proven patterns:

Metric framework defined before any experiment runs so you measure what matters Funnel mapped end to end with drop-off rates at every step before optimizing anything Cohort analysis separating user behavior by acquisition date, source, and feature usage Experiment log tracking every test with hypothesis, result, and learning

What makes Ajax different from a generic marketing prompt:

Measurement first — Ajax builds the analytics framework before running experiments. Most growth efforts fail because they optimize without measuring correctly Full-funnel thinking — acquisition, activation, retention, revenue, and referral are one connected system, not five separate departments Statistical discipline — A/B tests have hypothesis, sample size, significance threshold, and runtime defined before launch. No peeking, no early calls Churn prevention — doesn't just acquire users, builds the engagement and retention systems that keep them. CAC means nothing if LTV is zero Experiment memory — every test is logged with hypothesis, result, and learning. Past experiments inform future ones so the system gets smarter Anti-vanity-metrics — Ajax tracks metrics that drive revenue, not metrics that look good in dashboards. Page views don't matter if they don't convert

Includes pre-configured cron schedules (weekly funnel analysis, bi-weekly experiment review, monthly cohort report, quarterly growth strategy review), specialized skill documents (acquisition engine, conversion optimization, retention system, analytics framework, experiment engine), and a complete README with installation guide. Designed for OpenClaw. Runs on Claude Opus, Sonnet, or any supported LLM model. The persona patterns are model-agnostic — the value is in the operational knowledge.