---
title: "Insights: Amazon"
description: A powerful set of tools for sharing, analyzing, and visualizing proprietary viewership data from Amazon.
---
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# Insights: Amazon
## A powerful set of tools for sharing, analyzing, and visualizing proprietary viewership data from Amazon.
Navigation: Click on Insights on the left-hand menu of your dashboard. Select Amazon from the drop-down menu.
### Page Contents
- [Overview](https://help.filmhub.com/amazon-insights#Videotour)
- [Chart](https://help.filmhub.com/amazon-insights#Chart)
- [Panels](https://help.filmhub.com/amazon-insights#Panels)
- [Filtering](https://help.filmhub.com/amazon-insights#Filtering)
- [Estimates vs. Final Data](https://help.filmhub.com/amazon-insights#Estimates)
NOTE:
Loading Amazon Insights will restart any video currently uploading in your dashboard. Wait until your upload is complete to click Amazon Insights.
### Overview
---
Amazon Insights is a powerful set of tools for analyzing proprietary data about your title's performance on Amazon. Amazon insights data is updated multiple times per week. Insights data is reported separately earning reports. Even if you see updated Insights data, earnings reports and payments follow the timeline listed on the [schedule](https://app.filmhub.com/schedule).
### Chart
The chart displays a number of advanced metrics, graphed over time. Select a metric at the top of chart to display it across the chart and panels below.
**Metrics**
All metrics displayed use Amazon’s terminology directly. Amazon does not provide strict definitions of these metrics or how they are calculated. We’re providing our definitions for the metrics below based on our experience and information publicly available in [Amazon’s Help Center.](https://videocentral.amazon.com/support/financial-onboarding-payment-and-tax-information/dashboard-reporting-and-compensation/dashboard-reporting)
- **Minutes streamed:** How many minutes your content has been streamed. Reported multiple times per week.
- **Unique streams:** The total count of unique streaming sessions. If for example a viewer switches devices or pauses, then hits play, that counts as an [additional unique stream](https://videocentral.amazon.com/support/financial-onboarding-payment-and-tax-information/dashboard-reporting-and-compensation/dashboard-reporting). Reported multiple times per week
- **Quantity:** The number of TVOD rentals and purchases. Reported monthly
**Filter by Time**
Use the selector in the top right to select your preferred time period:
- 30 days, sliced into days
- 12 weeks, sliced into weeks
- 12 months, sliced into months
“Sliced” means the grouped by time unit shown on the chart. Selecting a period also sets this time unit for the chart. For example, selecting “12 weeks” shows the chart in weekly intervals.
The chart and panels all display the selected time period.
### Panels
A set of panels further segment the metrics to provide additional insights. You can download a CSV of the data from any panel by clicking the download icon in the bottom left.
**Top Titles**
Top Titles breaks out the insight metrics across your catalog. It’s really useful to see how your titles compare to each other. Clicking on any individual title, will add it as a filter giving you an isolated view of that title’s performance across all insight metrics.
**Top Seasons and Episodes**
When no title is selected (filtered) shows how seasons and episodes perform across all titles. Once you select a specific show in Top Titles segment it breaks all episodes of this show.
Selecting an episode filters all segments by this specific episode.
**Top Formats**
This breaks out the current metric by movies or shows. Select one to filter by it.
**Offer (Consumption) Type**
Amazon uses the terms “Offer Type “and “Consumption Type” to describe the monetization model used by viewers: Prime (SVOD), AVOD, Rental, and Purchase. You can learn more about these [monetization models here](https://help.filmhub.com/articles/3021751-license-types-ad-supported-subscription-and-transactionaltvod?hsLang=en). This panel is a helpful tool to look beyond the $ of your earnings and better understand how your titles are earnings revenue.
**Locations**
The locations panel dives even deeper on where your viewers are watching, allowing you to better understand your audience. Prime Video is available in over 200 countries.
**Quality**
The quality panel divides insight metrics into the resolution standards used by viewers: HD or SD. Quality data is specified by transaction quantity only.
- [Typical HD resolutions include](https://videodirect.amazon.com/home/help?topicId=G202129880&ref=avd_sup_G202129880#G202129910) 1280x720 (16:9 aspect ratio) and 1920x1080 (16:9 aspect ratio)
- [Typical SD resolutions include](https://videodirect.amazon.com/home/help?topicId=G202129880&ref=avd_sup_G202129880#G202129910) 640x480 (4:3 aspect ratio) and 640x360 (16:9 aspect ratio)
### Filtering
Selecting any entries within a panel will apply that entry as a filter for all charts and panels. This is an easy way to segment your data. You can deselect any entry at the top of the Chart to remove your filter.
Adding multiple filters concurrently allows infinite ways to mix and match your data to generate new insights. Here are some examples:
**Track the daily impact of a paid media campaign on unique streams in a specific territory**
1. Select minutes streamed in the chart
2. Select Title in Top Titles
3. Select your chosen territory in Countries
4. Select time period and view chart
**Compare AVOD viewer engagement across your catalog**
1. Select Minutes Streamed
2. Select AVOD in Offer (Consumption) Type
3. View Top Titles panel
**See how your audience watches in Canada**
1. Select Unique Streams in the chart
2. Select Canada in the Country panel
3. View Offer (Consumption) Type panel
Estimates vs. Final Data
Amazon continuously provides estimated data, which is later adjusted to final data. Data is typically finalized after three months and automatically updated. It is common for data to change between estimates and final data for a variety of reasons due to differences in how Amazon tracks data in the short term and long term.
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