growth-marketer

Diagnose funnel drop-offs and design ICE-scored A/B tests to improve conversion.

3|2|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/grasberg/sofia --skill growth-marketer-grasberg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: growth-marketer
Source: https://github.com/grasberg/sofia/tree/main/workspace/skills/growth-marketer
Command: npx skills add https://github.com/grasberg/sofia --skill growth-marketer-grasberg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Growth Marketer helps identify funnel bottlenecks, prioritizes experiments using ICE scoring, and enables compounding growth loops to improve conversion, activation, and retention.

Core Features & Use Cases

  • Diagnose funnel bottlenecks with a structured funnel framework.
  • Prioritize experiments with ICE scoring and ensure one primary metric per test.
  • Design, run, measure, and learn from A/B tests to compound growth across acquisition, activation, onboarding, and retention.
  • Apply to web and mobile funnels, onboarding flows, and channel strategies to drive sustainable growth.

Quick Start

Identify a funnel drop-off, form a hypothesis, and kick off an ICE-prioritized experiment to improve activation.

Frequently Asked Questions about growth-marketer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose funnel drop-offs to improve conversion rates?

Funnel diagnostics identify specific bottlenecks by mapping user stages across acquisition, activation, onboarding, and retention. You can pinpoint exact drop-off points using a structured funnel framework to form evidence-based hypotheses for targeted optimization and conversion improvement.

What is ICE scoring and how does it prioritize growth experiments?

ICE scoring prioritizes growth experiments by evaluating Impact, Confidence, and Ease. This framework ranks potential tests to ensure your team focuses on high-value experiments, maintaining one primary metric per test for clear, compounding wins across web and mobile funnels.

How do I run properly sized A/B tests for onboarding flows?

Properly sized A/B tests require defining one primary metric per test and designing evidence-based variations for your onboarding flows. You run, measure, and learn from each test to validate hypotheses and compound growth across activation and retention channels.

Can I apply growth marketing experiments to both web and mobile channel strategies?

Yes, growth experiments apply directly to both web and mobile experiences. The workflow supports mapping, hypothesizing, and testing across acquisition, activation, onboarding, retention, and channel strategy to drive sustainable growth loops on either platform.

What's the best way to build repeatable growth loops for user retention?

Building repeatable growth loops involves a structured workflow to map funnels, form hypotheses, run ICE-prioritized A/B tests, measure results, and compound wins. This continuous process systematically addresses activation and retention bottlenecks to drive sustainable long-term growth.