Monitor Eshop

This tool provides a structured framework for monitoring an ecommerce storefront by aggregating data from orders, traffic, product, and advertising sources. It computes core metrics such as revenue, orders, sessions, conversion rate, and average order value, and presents them in a consolidated view. The goal is to help ecommerce operators, growth marketers, and merchandising teams observe performance patterns and respond quickly to changes.
Conceptually, the system normalizes heterogeneous data, aligns it to a common timeframe, and applies standard formulas to yield comparable KPIs across channels. It supports multi-currency reporting, time-zone awareness, and historical comparisons. Users can define a set of KPIs, enable anomaly alerts, and benchmark current results against prior periods to quantify the impact of campaigns or site updates.
Key features include data ingestion connectors, period aggregation, currency normalization, and configurable alert thresholds. Optional capabilities cover custom KPIs, cross-channel breakdowns, CSV/JSON exports, and automated reports. The tool does not perform attribution modeling by itself; instead it focuses on store-level performance signals that executives and operators rely on for operational decisions.
Typical use cases include monitoring daily revenue and conversion drift during flash promotions, tracking launch impact for new product lines, and validating optimization experiments. By surfacing trends and anomalies early, teams can adjust pricing, messaging, or traffic mix to protect margins and accelerate growth. The approach emphasizes accuracy, clarity, and actionable insights over decorative dashboards.