# Amazon.de Order Seasonality Index — Monthly — Germany — 2025

> November orders peak at 28% above the annual average, driven by Black Friday, while September is the weakest month.

**Period:** 2025  
**Market:** DE  
**Data status:** final  
**Data as of:** 2026-04-27T15:27:51.679161+00:00  
**Sample size:** n = 1,141  
**Source:** [https://www.datapods.app/en/insights/consumption/online-shopping/amazon-de-seasonality-index-monthly-2025](https://www.datapods.app/en/insights/consumption/online-shopping/amazon-de-seasonality-index-monthly-2025)

## Segments

- **Years:** 2025
- **Platform:** amazon

## Summary

Amazon.de order volume shows clear seasonal peaks in Q4, with November commanding a 28-point index premium over the annual baseline (Index 128). December follows at Index 115 (+15% vs. annual average). The first quarter and especially September mark the year's softest periods, suggesting that holiday shopping and year-end gifting drive disproportionate platform activity.

## Chart

Monthly seasonality index (baseline 100) for Amazon.de orders in 2025, with November at 128, December at 115, and September at 88.

## Methodology

Index calculated as 100 × (total monthly orders / average monthly orders across 2025) for the panel of users with full-year coverage (n=1,141). No AGOF weighting is applied, since the index measures relative seasonal shape within the same panel — panel composition cancels out. Data is final as of April 2026, covering the complete 2025 calendar year.

## Citation

Datapods (2026-04-27). *Amazon.de Order Seasonality Index — Monthly — Germany — 2025*. Datapods Insights. https://www.datapods.app/en/insights/consumption/online-shopping/amazon-de-seasonality-index-monthly-2025

## About Datapods

Datapods is a behavioral consumer-data platform. The Insights library publishes free, citable statistics derived from a panel of 25,000+ opted-in participants in Germany: observed real behavior (transactions, browsing, media), not surveys. All data is processed within the EU and is GDPR-compliant.

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