ecommerce-sales-tracker

Paste or upload your sales data with platform, date range, and currency, and the skill computes a KPI snapshot scaled to your business stage. It covers revenue, orders, AOV, conversion rate, and repeat-purchase rate, with targets for early-stage, growth, and mature businesses.

Anomaly detection requires a dated time series of one consistent metric with at least 5-7 comparable prior periods as a baseline. Each period is compared against a trailing baseline with a stated threshold, and candidate anomalies are checked against seasonality, partial exports, and tracking gaps before being flagged.

No, it never connects to live platform accounts, APIs, or reporting tools under any circumstance. It works only from data you type, paste, or upload in the conversation, and every figure in the output traces back to that supplied data.

Cohort analysis requires a customer identifier or cohort label, each customer's first-order date, and later purchase dates or values for the same identifiers. Customers are grouped by first-order period to compute retention and repeat-purchase rates across subsequent periods.

Missing figures are marked Not provided and never estimated or extrapolated. Analyses that fall short of minimum data requirements are labeled Data-dependent, with the framework explained and the exact additional data needed stated.

Use ecommerce-seo-auditor when a sales drop may stem from rankings, crawlability, or on-page issues, and ecommerce-geo-auditor when the issue involves AI-shopping or AI-search visibility. The sales tracker focuses on analyzing the sales data itself, not diagnosing traffic causes.