The modern advertising landscape thrives on valuable insights. In today’s fast-paced world, intraday optimizations have become the expected standard. Advertisers are actively searching for innovative solutions that can assist them in the following ways:
- Understand how Amazon Ads campaigns can impact retail performance, by hour of day
- Obtain retail analytics in near real-time to help drive timely campaign optimizations
- Proactively inform media and operational planning with retail insights
Amazon addressed above needs by introducing Rapid Retail Analytics.
What does Rapid Retail Analytics offer:
Through the utilization of rapid retail analytics, Amazon Ads offers timely “last hour’s insights” in a matter of minutes, facilitating comprehensive optimization of Amazon Ads campaigns in conjunction with retail performance metrics.
Amazon’s Rapid retail Analytics capabilities:
- Optimize ad budgets and inventory based on hourly changes in traffic, sales and inventory
- Obtain retail analytics summarized hourly, shortly after the close of each hour
- Discover trends at the ASIN level, helping inform ad strategies at the product level
How can advertisers leverage Amazon’s Rapid Retail Analytics:
- Identify day-of-week, hour-of day insights
- Develop “peak” hour notifications
- Schedule ads or change budgets based on expected hourly sales
- Create a dayparting engine, inclusive of hour & date of sales
Actual vs Expected analysis
- Inform campaign changes by measuring hourly actual performance vs. expected
- Ingest clients’ forecasts and develop budget changes to help clients reach goals
Where rapid retail analytics are available:
Feature is available Globally where selling partner API is available. This includes: AE, AU, BE, BR, CA, DE, EG, ES, FR, IT, JP, IN, MX, NL, PL, SA, SE, SG, TR, UK, and US.
How to use?
- Make sure you have access to Selling partner API
- Access rapid retail analytics through Selling Partner API reports & notifications endpoints
- Use as a report or push messages to an AWS destination
- Start using data for your marketing decisions