Auction categories feed


This feed is not available to Microsoft Invest clients.

This is a log level data feed that provides you with data on all categories (universal and custom) that were present in an auction where you were the selling member.

The Xandr internal name for this feed is auction_categories_feed.

Each feed is delivered hourly and will be retained for 7 days. The feed will be logged when an auction is complete.

If you enable the auction category feed, it will be in your feed list along with all your other log level data feeds. See [Log Level Data Feeds](log for more information.

Column Index Column Name Type Description
1 date_time UNIX Epoch time The time and date of impression (e.g., 1526057561 which would need to be translated to Friday, May 11, 2018 4:52:41 PM (UTC)) .
2 auction_id_64 bigint The unique identifier of the auction.
3 user_id_64 bigint The ID of the user.
4 seller_member_id int The member ID of the seller.
5 universal_categories int A list of category IDs for the universal categories that apply to this auction.
6 custom_categories int A list of category IDs for the custom categories that apply to this auction.
7 hashed_user_id_64 bytes The hashed version of the Xandr 64-bit User ID which will we provided as a proxy in certain cases where Xandr is unable to provide the real user_id_64. You will not be able to target users via their hashed user ID. However you can use this identifier to calculate unique users, user frequency, and user recency. An example is provided below:

Note: If you receive the user_id_64 version of this field, you will not receive the hashed version.
8 partition_time_millis UNIX Epoch time The hourly partition any record row falls into, represented as a UNIX Epoch timestamp value (in milliseconds). Useful for defining hourly partitions when loading into a database or data warehouse. For the Avro format, this field is given the timestamp-millis logical type for native timestamp detection. For example, 1568077200000 can also be represented as Tuesday, September 10, 2019 1 AM (UTC).