ecommerce growth control tower

The problem

Ecommerce founders often drown in siloed data, struggling to identify whether their growth plateaus are caused by high CAC, poor conversion, or hidden operational leaks. Without a unified view, teams waste time on low-impact tasks while overlooking critical profit-draining issues in fulfillment or retention.

What it does

• Analyzes store health across six key dimensions: acquisition, conversion, operations, fulfillment, retention, and profitability.
• Categorizes findings into critical blocks, clear opportunities, and items to watch.
• Calculates unit economics including LTV/CAC ratios, contribution margins, and payback periods.
• Generates a prioritized 2x2 matrix of actions based on quantified impact and effort estimates.
• Produces a structured report with an executive summary, dimension-based scorecard, and ranked action plan.

Frameworks & tools

Compatible with data from Shopify, WooCommerce, Magento, BigCommerce, and custom storefronts. Processes inputs from Google Analytics, Meta Ads, Klaviyo, and ERP systems.

Why this beats prompting it yourself

General prompts often result in generic advice like "improve SEO." This skill enforces a rigorous six-pillar audit and an Impact vs. Effort prioritization logic, ensuring recommendations are based on hard math and operational reality rather than platitudes.

Use cases

• Conducting a monthly performance audit to re-align team priorities.
• Diagnosing the root cause of a sudden drop in net profitability.
• Preparing for peak seasons by identifying fulfillment and inventory bottlenecks.
• Evaluating the trade-off between increasing AOV and maintaining conversion rates.

Known limitations

Requires accurate historical data for high-confidence results. If metrics like CAC or COGS are missing, the agent uses estimates which must be verified before execution.