Gain valuable insights on your Amazon business when you review and compare key ad performance metrics across your storefronts using Flywheel Analytics.
What can you do with Flywheel Analytics?
- Understand your Amazon Performance Holistically: Compare performance across profiles, advertising types, and campaigns.
- Compile and Review Performance of Similar Campaigns: View subsets of your campaigns to understand how specific ad types or product lines are performing relative to your business.
- Customize Date Ranges and Metrics: Drill down to specific time periods and metrics to troubleshoot blips in performance.
- Export your Data: Download your data for more granular metrics, allowing you to analyze daily metrics associated with each campaign.
How to Use Flywheel Analytics:
- Profile Selection: Use the drop down to select the profiles (storefronts) in which you want to compare advertising data. If you have multiple storefronts connected under one account, you can select one or many to compare data.
- Metric 1: Select the first metric to include in your comparison.
- Metric 2: (Optional) Select the second metric to include in your comparison.
- Timespan: Customize the date range you want to review. Use the preset timespans ("past 30 days") or use the date picker to choose a specific time period, hit
Submitto apply the changes.
- Click Run Report: Generate your custom report.
- Click Export Data: Download your dataset.
- Apply Additional Filters: After completing steps 1-5, you have the option to further refine the dataset by applying filters for particular subsets of campaigns, targeting types and/or campaign type. Make your selections and hit
Applyto generate changes. Do not hit
Advertising Metrics: What they are and how to use them
Some Popular Metrics to Compare:
Attributed Ad Sales v Ad Spend: How is ad spend impacting your ad sales? Visualize your ACoS using this comparison.
Ad Spend v Clicks: See how changes in spend influences your click volume. If you reduce your spend and also notice a sharp decline in clicks, you may need to re-evaluate where your products are in their lifecycle.
Impressions v Clicks: How many people who see your ad are also clicking it? High impressions with low clicks may indicate you're bidding on the wrong keywords.
Clicks vs Conversions: High number of clicks with low number of conversions may indicate your listing needs optimization.
Advertising Units v Conversions: Are there products that typically result in multiple units being purchased in one transaction? Products that result in the purchase of 1+ units per conversion increase your net ad revenue and yield a higher conversion rate.
Export the dataset to view which campaigns hold these products and other helpful metrics.
Using Data Export Functionality:
Use the export functionality to drill down on daily performance metrics and complete additional analysis outside of Flywheel.
Within the data export csv you can filter by Campaign Type (SP vs SB) or filter your campaigns to review performance of competitor campaigns, for example. Reviewing subsets of campaigns is a great way to review performance and see how they are trending towards your goals. Not all campaigns have the same long term goals, so the metrics you use to evaluate performance should be unique.
ACoS is not the only metric to focus on. Redefine the way you determine success by establishing clear goals and key performance indicators (KPIs) for different types of campaigns, and track the results independently against those goals. Analytics: Measure Success with Metrics