3 datasets found
  1. r

    Amazon Average Order Value Statistics 2019-2025

    • redstagfulfillment.com
    html
    Updated Jun 15, 2025
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    Red Stag Fulfillment (2025). Amazon Average Order Value Statistics 2019-2025 [Dataset]. https://redstagfulfillment.com/amazons-average-order-value/
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    htmlAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Red Stag Fulfillment
    Time period covered
    2019 - 2025
    Area covered
    United States
    Variables measured
    Daily Order Volume, Average Order Value, Category-Specific AOV, Prime Day Order Value, Cross-Platform AOV Comparison
    Description

    Comprehensive dataset tracking Amazon's average order value trends, Prime Day statistics, cross-platform comparisons, and category-specific benchmarks from 2019 to 2025.

  2. n

    MODIS Aggregate for Amazon Basin/Large Scale Biosphere-Atmosphere...

    • cmr.earthdata.nasa.gov
    Updated Apr 21, 2017
    + more versions
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    (2017). MODIS Aggregate for Amazon Basin/Large Scale Biosphere-Atmosphere Experiment; MODIS/Terra Surface Reflectance 8-Day L3 Global 500m ISIN Grid, 1/1/03-1/1/05 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214611754-SCIOPS
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    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 2003 - Dec 31, 2004
    Area covered
    Description

    This dataset represents spatial aggregates of the MODIS/Terra Surface Reflectance 8-Day L3 Global 500m ISIN Grid (MOD09A1), as provided by the EROS Data Center (EDC). THis product is available for multiple days.

    The University of New Hampshire's (UNH) Earth Science Information Partner (ESIP), EOS-WEBSTER (http://eos-earthdata.sr.unh.edu/), has created this MODIS surface reflectance aggregate product from MOD09A1 8-day 500m surface reflectance tiles. MOD09A1 data are provided every 8 days as a gridded level-3 product in the Integerized Sinusoidal projection. UNH has aggregated multiple tiles to create a large-region surface reflectance product, which can be spatially subset within the EOS-WEBSTER Search & Retrieve data ordering tool. Our system has also reprojected these data from the original Integerized Sinusoidal projection to Geographic, with a pixel resolution of 15 arc seconds.

    The aggregate products contain all the layers from the original input products plus an additional layer created by EOS-WEBSTER, which provides a look-up code to map each pixel in the aggregate back to its original input tile.

    These aggregate products allow the users of EOS-WEBSTER to subset MODIS 8-day surface reflectance data across tile boundaries and to customize the spatial region of interest using an on-line GUI interface. Data are also provided in a generic binary format (BSQ) with detailed header information, which can be read into most image or data processing applications. EOS-WEBSTER has broken the original 12 layers in the input tiles into 6 logical holdings so that a user may order 1 or more of the band sets (see below). For instance, the user may only wish to order the 7 reflectance bands and not all the other supporting data which are provided with the original data-this significantly cuts down on the data volume.

    Version-4 input products were used to create these output files. Please see the Global Change Master Directory (GCMD) to learn more about the MOD09A1 input data (http://gcmd.nasa.gov/getdif.htm?MOD09A13).

    This MODIS surface reflectance product may be used to generate land- related products or used as input to global and regional climate models and surface energy balance models. These data also may be used for land cover characterization.

    Data Set Characteristics: Output format: BSQ with header,netCDF,HDF-EOS,GEOTIFF, ASCII Grid Logical Data Holdings: Surface Reflectance: 7 surface reflectance bands Surface Reflectance QC: 1 bit field band Sun/Sensor Geometry: 3 bands State Flags: 1 bit field band Day-of-Year: 1 band Input Tile Code: 1 band

  3. Amazon revenue 2004-2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Amazon revenue 2004-2024 [Dataset]. https://www.statista.com/statistics/266282/annual-net-revenue-of-amazoncom/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, United States
    Description

    From 2004 to 2024, the net revenue of Amazon e-commerce and service sales has increased tremendously. In the fiscal year ending December 31, the multinational e-commerce company's net revenue was almost *** billion U.S. dollars, up from *** billion U.S. dollars in 2023.Amazon.com, a U.S. e-commerce company originally founded in 1994, is the world’s largest online retailer of books, clothing, electronics, music, and many more goods. As of 2024, the company generates the majority of it's net revenues through online retail product sales, followed by third-party retail seller services, cloud computing services, and retail subscription services including Amazon Prime. From seller to digital environment Through Amazon, consumers are able to purchase goods at a rather discounted price from both small and large companies as well as from other users. Both new and used goods are sold on the website. Due to the wide variety of goods available at prices which often undercut local brick-and-mortar retail offerings, Amazon has dominated the retailer market. As of 2024, Amazon’s brand worth amounts to over *** billion U.S. dollars, topping the likes of companies such as Walmart, Ikea, as well as digital competitors Alibaba and eBay. One of Amazon's first forays into the world of hardware was its e-reader Kindle, one of the most popular e-book readers worldwide. More recently, Amazon has also released several series of own-branded products and a voice-controlled virtual assistant, Alexa. Headquartered in North America Due to its location, Amazon offers more services in North America than worldwide. As a result, the majority of the company’s net revenue in 2023 was actually earned in the United States, Canada, and Mexico. In 2023, approximately *** billion U.S. dollars was earned in North America compared to only roughly *** billion U.S. dollars internationally.

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Red Stag Fulfillment (2025). Amazon Average Order Value Statistics 2019-2025 [Dataset]. https://redstagfulfillment.com/amazons-average-order-value/

Amazon Average Order Value Statistics 2019-2025

Explore at:
htmlAvailable download formats
Dataset updated
Jun 15, 2025
Dataset authored and provided by
Red Stag Fulfillment
Time period covered
2019 - 2025
Area covered
United States
Variables measured
Daily Order Volume, Average Order Value, Category-Specific AOV, Prime Day Order Value, Cross-Platform AOV Comparison
Description

Comprehensive dataset tracking Amazon's average order value trends, Prime Day statistics, cross-platform comparisons, and category-specific benchmarks from 2019 to 2025.

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