This question explores Analytics & Tracking and addresses practical considerations related to: How can I identify and fix anomalies in my weekly eCommerce sales data?

Identifying and fixing anomalies in your weekly eCommerce sales data involves analyzing trends and patterns to spot irregularities that deviate from expected performance. This process can be managed through Google Analytics or Looker Studio by reviewing your sales reports and applying filters or comparisons. Sign in to your Google Analytics or Looker Studio account. Navigate to Reports → Monetization → Ecommerce Purchases. Use the date range selector to view weekly data and apply filters to compare against previous periods. Identify any significant deviations or spikes in your sales data. Investigate potential causes such as promotions, external events, or tracking errors. ADDITIONAL COMMENT: Consider setting up alerts in Google Analytics to notify you of significant changes in sales data. Review any recent changes to your website or marketing campaigns that might affect sales. Use Looker Studio to create a custom dashboard for ongoing anomaly detection and visualization. Collaborate with your marketing and sales teams to understand external factors influencing sales. ✅

How can I identify and fix anomalies in my weekly eCommerce sales data?

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How can I identify and fix anomalies in my weekly eCommerce sales data?

Asked on Jan 30, 2026

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Identifying and fixing anomalies in your weekly eCommerce sales data involves analyzing trends and patterns to spot irregularities that deviate from expected performance. This process can be managed through Google Analytics or Looker Studio by reviewing your sales reports and applying filters or comparisons.

Sign in to your Google Analytics or Looker Studio account.
Navigate to Reports → Monetization → Ecommerce Purchases.
Use the date range selector to view weekly data and apply filters to compare against previous periods.
Identify any significant deviations or spikes in your sales data.
Investigate potential causes such as promotions, external events, or tracking errors.

Additional Comment:

Consider setting up alerts in Google Analytics to notify you of significant changes in sales data.
Review any recent changes to your website or marketing campaigns that might affect sales.
Use Looker Studio to create a custom dashboard for ongoing anomaly detection and visualization.
Collaborate with your marketing and sales teams to understand external factors influencing sales.

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How can I identify and fix anomalies in my weekly eCommerce sales data?

Asked on Jan 30, 2026

Answer

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