Measurement and analytics
Rapid retail analytics
Retail analytics, now in near real-time
With rapid retail analytics, Amazon Ads is providing the “last hour’s insights” within minutes, enabling holistic optimization of Amazon Ads campaigns joined with retail performance metrics.
How does rapid retail analytics work?
Rapid retail analytics can be accessed through the Selling Partner API via reports and notifications endpoints. The Selling Partner API is available from Amazon and will require approval and developer resources for access, as well as building an API integration. Once integrated to the Selling Partner API, you can ingest the metrics as a report or have messages pushed programmatically to an AWS destination.
Why should I use rapid retail analytics?
Through rapid retail analytics, you can programmatically access a wealth of information that helps inform your advertising strategy, all on an hourly basis. You can access the following information:
1
Sales
Success metrics fall into two categories: industry standard (CTR, ROAS, DPVR, ATC, etc.) and ecommerce goals, which are unique to Amazon (DPVR, eCPDPV, SnS, etc.).
2
Traffic
New-to-brand metrics are generated from first-time customers of your brand and help you understand ad-attributed purchases.
3
Inventory
Gross and invalid traffic metrics enable reconciliation of Amazon DSP metrics with third-party metrics. Invalid traffic (IVT) metrics are nuanced and can be hard to interpret, so reconcile gross metrics before using IVT metrics to rule out measurement-related discrepancies.
Detail page view
Ordered units
Ordered revenue
Here are some ways customers use rapid retail analytics:
Actual vs. expected analysis
- Measure hourly actual performance vs. expected performances, informing intraday updates
- Ingest clients’ forecasts, compare to information provided through rapid retail analytics and develop budget changes to help clients reach goals
Dayparting
- Schedule ads or change budgets based on expected hourly sales
- Create a dayparting engine, inclusive of hour and date of sales
Trend analysis
- Identify day-of-week, hour-of day insights
- Develop “peak” hour notifications
Benefits of rapid retail analytics
Optimize Amazon Ads and retail performance
By monitoring hourly changes in traffic, sales, and inventory, you can better inform Amazon Ads campaign optimizations, such as increasing budget for ASINs during hours where sales performance is strongest. On the retail side, you can also ensure inventory is allocated at appropriate levels and optimized based on advertising performance.
Discover trends at the ASIN level
With near real-time sales metrics, you’ll have hourly insights into how shoppers engage with a brand at the ASIN level, including product detail page views, ordered units, and Amazon’s available inventory count. These insights can help inform advertising strategies at the product level.
Obtain retail analytics faster
Obtain to the minute summarized retail analytics, shortly after the close of each hour. This can help drive intraday optimizations, such as increasing Amazon Ads bids by ASIN-level during hours of greater performance.
SUCCESS STORIES
Rapid retail analytics examples and case studies
How rapid retail analytics helped a brand increase ROAS by 27%
Acorn-i helped Naturediet increase ROAS by 27% through intraday optimizations informed by rapid retail analytics.
Key learnings
27%
27% increase in ROAS in Q1 20231
90%
90% reduction in campaign optimization time2
DemandHelm's intraday optimizations boosted sales by 145%
DemandHelm helped consumer electronics brand Zoom Corp increase their Amazon Ads conversion rates and ROI by analyzing and actioning on hourly retail and advertising performance trends.
Key learnings
12%
A 12% increase in conversion rate3
7%
A 7% increase in ROAS4
Frequently asked questions, answered
Sources
- 1 Acorn-i, United Kingdom, 2023.
- 2 Acorn-i, United Kingdom, 2023.
- 3 DemandHelm, United States, 2023.
- 4 DemandHelm, United States, 2023.