ecommerce performance numbers translator

The problem

Interpreting raw ecommerce analytics is tedious and prone to misdiagnosis. Merchants often struggle to turn static percentages like bounce rates or cart abandonment into concrete, revenue-generating actions.

What it does

• Groups raw metrics into business questions regarding traffic quality, engagement, and retention.
• Diagnoses root causes for underperforming metrics, such as price hesitation or checkout friction.
• Prioritizes issues based on revenue impact versus implementation effort.
• Generates a structured action plan with immediate, weekly, and monthly tasks.

Why this beats prompting it yourself

This skill uses a rigorous translation framework that prevents jumping to conclusions based on single data points. It enforces a strict output structure that balances technical diagnosis with plain-language business strategy, ensuring stakeholders understand the "why" behind every recommendation.

Use cases

• Reviewing monthly store performance reports to identify growth opportunities.
• Auditing a paid social campaign that has high clicks but low conversions.
• Fixing funnel leaks in the checkout process for high-traffic stores.
• Developing a customer retention strategy for stores with low returning visitor rates.