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Right now, we’re asserting the final availability of Amazon Advertising Cloud (AMC) on AWS Clear Rooms to assist advertisers use their first-party indicators to collaborate with Amazon Advertisements distinctive indicators. With this collaboration, advertisers can generate differentiated insights, uncover new audiences, and allow promoting marketing campaign planning, activation, and measurement use instances, all with out having to maneuver their underlying indicators exterior of their AWS account. With AMC on AWS Clear Rooms, prospects can simply put together their knowledge, match and create audiences, use customized insights to activate extra related promoting campaigns with Amazon Advertisements, and measure return on advert spend. All of this may be completed from probably the most safe cloud computing atmosphere accessible as we speak.
Advertisers regularly try to succeed in new audiences and ship related, advertising campaigns to raised interact their prospects. But, the promoting and advertising panorama is present process a elementary shift with sign loss and fragmentation. As such, advertisers and their companions must collaborate collectively utilizing indicators which can be saved throughout many functions to personalize their promoting campaigns. Nonetheless, to work with each other to assemble insights, corporations sometimes must share a replica of their indicators with their companions, which is usually not aligned with their knowledge governance, safety and privateness, IT, and authorized groups’ insurance policies. Consequently, many companies miss alternatives to totally maximize the worth of their first-party indicators and enhance planning, activation, and measurement outcomes for his or her campaigns.
AMC on AWS Clear Rooms makes it simpler and scalable for advertisers to make use of their first-party indicators with Amazon Advertisements, together with collaborating throughout event-level indicators and modeling distinctive audiences to assist enhance media planning, activation, and outcomes with out having to maneuver underlying indicators exterior their cloud atmosphere.
AMC on AWS Clear Rooms conditions (atmosphere setup)
To get began with AMC on AWS Clear Rooms, the advertiser wants an AWS account and a dataset that incorporates consumer inhabitants and event-level knowledge saved in open knowledge codecs (CSV, Parquet, or Iceberg) in an Amazon Easy Storage Service (Amazon S3) bucket. The following step is to ship an electronic mail to the Amazon Advertisements workforce to request the creation of an AMC occasion. As soon as an occasion has been created, the Amazon Advertisements workforce will create an AWS Clear Rooms collaboration and invite the advertiser to hitch the collaboration.
The way it works
1. Be part of an AWS Clear Rooms collaboration and create an ID namespace.
2. Configure and affiliate tables to an AMC collaboration.
3. Run an ID mapping workflow to create and populate the ID mapping desk.
4. Run a question in AMC.
Walkthrough
1. Be part of an AWS Clear Rooms collaboration and create an ID namespace.
The advertiser will settle for the collaboration invite by making a membership of their AWS account. As soon as within the collaboration, the advertiser will entry the AWS Clear Rooms console after which choose the AWS Entity Decision ID namespace generated when the collaboration was created to begin the method of utilizing their knowledge for matching and collaboration in AWS Clear Rooms. Subsequent, specify the AWS Glue desk and the related schema mapping and select the S3 bucket in the identical AWS Area because the collaboration for briefly storing your knowledge whereas it processes. Lastly, the advertiser will present permissions to learn your knowledge enter from AWS Glue and write to Amazon S3 on their behalf.
Within the AirportLink collaboration proven within the following screenshot, the advertiser (member AirportLink2) accepts a collaboration invite despatched by member AirportLink1.
2. Configure and affiliate tables to an AMC collaboration.
After becoming a member of the collaboration, the advertiser will create configured tables on their buy knowledge, add customized evaluation rule, and affiliate the configured desk to the collaboration.
Throughout the collaboration, the advertiser will arrange a collaboration evaluation rule to manage which get together can obtain the results of a question run on the related desk.
3. Run an ID mapping workflow to create and populate the ID mapping desk.
Now that the ID namespace is related to the collaboration, the Amazon Advertisements workforce will create an ID mapping desk within the AWS Clear Rooms console. This step requires each the advertiser (supply) and the Amazon Advertisements workforce (goal) to affiliate their ID namespace sources to the collaboration. Amazon Advertisements will present the strategies of mapping and configuration, add the main points for querying to call the ID mapping desk, and supply permission for AWS Clear Rooms to execute and observe the ID mapping workflow job on their behalf. Lastly, the Amazon Advertisements workforce will choose Create and Populate to begin the mapping workflow and generate an ID mapping desk that captures a typical consumer cohort, who had been matched on the principles offered in Step 2.
4. Run a question in AMC.
Advertisers can both use templates or write a SQL question to run for evaluation and get question outcomes for additional insights. They’ll run the SQL question within the following methods:
- Run a SQL question with AMC knowledge and the advertiser’s knowledge that return the outcomes to the advertiser’s S3 bucket utilizing combination evaluation. An instance question is “How most of the prospects who’re registered for my electronic mail checklist noticed the advertisements I’m operating on Amazon?”
- Run a SQL question to create an viewers on the advertiser’s knowledge or overlap with AMC indicators that returns outcomes to the S3 bucket of Amazon Advertisements. An instance question is to generate an viewers to focus on in an advert marketing campaign.
- Run an AWS Clear Rooms ML lookalike modeling job the place Amazon Advertisements contributes the configured mannequin and the advertiser contributes a seed viewers. The ensuing section (checklist of consumer advert IDs) is distributed to Amazon Advertisements.
After operating the question, the advertiser can create an viewers utilizing a rule-based viewers or an analogous viewers by navigating to the Viewers tab in AMC. The output of the viewers question will likely be despatched on to Amazon Demand Aspect Platform (DSP). The next desk exhibits the choices accessible to you when creating the viewers:
| If you wish to |
Then |
| Use pre-built viewers templates | Choose Create with tutorial question from the dropdown checklist |
| Create customized viewers queries | Choose Create new question from the dropdown checklist |
When creating a brand new question, the advertiser will configure numerous choices akin to identify, description, and date changes. Moreover, the advertiser can select from the 2 following viewers sorts:
– Rule-based viewers – Create audience-based on the viewers question.
– Comparable viewers – Create machine studying (ML) based mostly audiences based mostly on the seed viewers outputs from the viewers question.
Now accessible
AMC on AWS Clear Rooms is accessible in within the US East (N. Virginia) Area. You’ll want to verify the complete Area checklist for future updates. Study extra about AMC on AWS Clear Rooms within the AWS documentation.
Give it a attempt by emailing the Amazon Advertisements workforce to get began and ship suggestions to the AWS re:Put up for AWS Clear Rooms or by your standard AWS Assist contacts.
— Veliswa
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