2022 Seasonal Amazon Advertising Report
A Roadmap for the Holidays, Prime Day, and Key Retail Dates
This Seasonal Amazon Advertising Report and Guide leverages Amazon advertising campaign data to provide the analysis and guidance needed for brands, agencies, and third-party sellers to optimize their strategies around key ecommerce holidays and sale events.
- Calendar and retail “holidays” such as Black Friday and Prime Day drive brands to compete for shoppers by raising their advertising budgets – and with the right strategy, it pays off.
- While a major focus is given to the end-of-year holiday shopping season, an analysis of Jungle Scout’s Amazon advertising data reveals big opportunities for advertisers throughout the year.
- Well-prepared sellers and brands can earn higher returns on holiday ad spending by leveraging the data and actionable tips included in this report to identify trends, tap into the needs of last-minute shoppers, and more.
Amazon Advertising Data Snapshot
Monthly percentage share of full-year Amazon advertising spending*
*Data shown represents each respective month’s share of full-year 2021 ad spend
Average return on Amazon advertising spend (RoAS)
About the report
Analysis and findings included in this report are based on ecommerce data for full-year 2021 from Downstream by Jungle Scout, the leading Amazon advertising and analytics software. The data set includes 5,000+ distinct brands and 950,000+ unique Amazon advertising campaigns across all key ad media, and primarily represents large ecommerce enterprises.
About Jungle Scout
Jungle Scout is the leading all-in-one platform for ecommerce sellers, supporting more than $50 billion in annual Amazon revenue. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their ecommerce businesses. Jungle Scout is headquartered in Austin, Texas and supports 10 global Amazon marketplaces.
Using the Data
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