☕[AT Community Q&A Coffee Break] 5/12/21, 8am PT: Shannon Hamilton, Group Product Manager for Adobe Target☕ | Community
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Amelia_Waliany
Amelia_Waliany
Employee
April 26, 2021

☕[AT Community Q&A Coffee Break] 5/12/21, 8am PT: Shannon Hamilton, Group Product Manager for Adobe Target☕

  • April 26, 2021
  • 14 replies
  • 10417 views

Join us for the next monthly Adobe Target Community Q&A Coffee Break, 

taking place Wednesday, May 12th, 2021 @ 8am PT

🗓️☕Be sure to MARK YOUR CALENDARS with a link to this thread☕🗓️

We'll be joined by Shannon Hamilton, aka @ShannonHamiltonPM, Group Product manager for Adobe Target, who will be signed in here to the Adobe Target Community to chat directly with you on this thread about your Adobe Target questions pertaining to her areas of expertise:

  • Integrations
  • Unified Profile
  • Target AEP Integrations
  • Point integrations with other solutions
  • Core UI workflows

REQUIREMENTS TO PARTICIPATE 

  • Must be signed in to the Community during the 1-hour period 
  • Must post a Question about Adobe Target
  • THAT'S IT!  *(think of this as the Adobe Target Community equivalent of an AMA, (“Ask Me Anything”), and bring your best speed-typing game) 

INSTRUCTIONS 

  • Click the blue “Reply” button at the bottom right corner of this post
  • Begin your Question with @ShannonHamiltonPM
  • When exchanging messages with Shannon about your specific question, be sure to use the editor’s "QUOTE" button, which will indicate which post you're replying to, and will help contain your conversation with Shannon

     

**For those who have joined an Adobe Target Community Q&A Coffee Break before: please note that we are no longer using formal registration pages for these events - just be sure to Mark Your Calendars to sign in here to the Community on 5/12/21 @ 8am PT, and hop onto this thread for direct answers to your Q’s from Shannon.

 

Shannon supports the end-to-end marketer UI, as well as Target’s authoring APIs and cross Adobe Experience Cloud integrations. Her mandate includes developing Target's integration with AEP's Unified Profile. Previously, she was responsible for the machine learning / AI capabilities within Target, including ML-based personalization and ML-enhanced testing. Shannon holds an MBA from the Kellogg School of Management at Northwestern University, where she specialized in data science and marketing.

 

Curious about what an Adobe Target Community Q&A Coffee Break looks like? Be sure to check out our past 2020 Adobe Target Coffee Breaks, covering a WIDE variety of Adobe Target topics, and our latest thread from our 2/24/21 Adobe Target Coffee Break with @Rob_Hornick

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14 replies

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L
lanar1
New Participant
May 10, 2021

@ShannonHamiltonPM What is in the development pipeline for Adobe Target AI?

    ShannonHamiltonPM
    ShannonHamiltonPM
    Employee
    May 12, 2021
    @lanar1 wrote:

    @ShannonHamiltonPM What is in the development pipeline for Adobe Target AI?

    We have some great features we are working on! Two that I'm personally excited for are:

     

    - A new Recommendations algorithm that looks at items a customer has added to their cart

    -  Enhancements to the A4T reporting we released last year for Auto Allocate and Auto Target 

      S
      sRobergeau
      New Participant
      May 10, 2021

      @ShannonHamiltonPM : How can i exclude users from a campaign activity after x number of exposition ? 

        brianv49321515
        brianv49321515
        New Participant
        May 6, 2021

        @ShannonHamiltonPM How our Users adding Taeget to their aps

          ShannonHamiltonPM
          ShannonHamiltonPM
          Employee
          May 12, 2021

          I think you might by asking about implementing Adobe Target? If so, this link might be helpful: https://experienceleague.adobe.com/docs/target/using/implement-target/client-side/at-js-implementation/at-js/how-atjs-works.html?lang=en#implement-target

           

          We have several implementation methods you can use depending on the channel and if you are planning on integrating with Target on the client or server-side.

            JerrodStrid
            JerrodStrid
            New Participant
            May 5, 2021

            I have a question about Adobe Target Auto Personalization campaigns. Is there a way to specify which parameters the algorithm uses - or a way to weight some parameters? We have added custom profile parameters using info we know about the users past history on our site, but those custom profile values do not see to be used (or at least not weighted) in our AP campaign. 

              ShannonHamiltonPM
              ShannonHamiltonPM
              Employee
              May 12, 2021
              @jerrodstrid wrote:

              I have a question about Adobe Target Auto Personalization campaigns. Is there a way to specify which parameters the algorithm uses - or a way to weight some parameters? We have added custom profile parameters using info we know about the users past history on our site, but those custom profile values do not see to be used (or at least not weighted) in our AP campaign. 

               

              There isn't a way to weight parameters that the model uses. A few issues I've seen with custom data and why it may not be showing up include:

               

              - It isn't predictive of the visitor behavior (/ your optimization goal) the model is seeing for that specific activity 

              - Your custom data isn't associated with enough profiles in the activity to be predictive for the overall visitor set in the activity (in other words, it's sparse) 

              - There isn't enough variation in the values for it to be predictive 

               

              This article explains the process of how the model selects attributes: https://experienceleague.adobe.com/docs/target/using/activities/automated-personalization/algo-random-forest.html?lang=en#section_536C105EF9F540C096D60450CAC6F627

               

                MihneaD
                MihneaD
                Employee
                May 12, 2021
                @shannonhamiltonpm wrote:
                @jerrodstrid wrote:

                I have a question about Adobe Target Auto Personalization campaigns. Is there a way to specify which parameters the algorithm uses - or a way to weight some parameters? We have added custom profile parameters using info we know about the users past history on our site, but those custom profile values do not see to be used (or at least not weighted) in our AP campaign. 

                 

                There isn't a way to weight parameters that the model uses. A few issues I've seen with custom data and why it may not be showing up include:

                 

                - It isn't predictive of the visitor behavior (/ your optimization goal) the model is seeing for that specific activity 

                - Your custom data isn't associated with enough profiles in the activity to be predictive for the overall visitor set in the activity (in other words, it's sparse) 

                - There isn't enough variation in the values for it to be predictive 

                 

                This article explains the process of how the model selects attributes: https://experienceleague.adobe.com/docs/target/using/activities/automated-personalization/algo-random-forest.html?lang=en#section_536C105EF9F540C096D60450CAC6F627

                 

                @jerrodstrid,
                We can see what Target deems as the "Important Attributes" if we look in the important attributes report in the UI. (Please note this report will show you only the top 10 visitor attributes sorted by importance score.) The second place is from the Important Attributes Report by downloading the CSV. (This one will show you the top 100 visitor attributes.)

                If your attribute is not present in either it is likely due to one of the reasons @shannonhamiltonpm mentioned above.


                In regards to how everything is put together Personalization Insights is created using an Adobe patent-pending technique called MAGIX (Model Agnostic Globally Interpretable Explanations). You can learn more about MAGIX in the paper linked below.

                Here are some supporting documents:
                KB article on Important Attributes Report
                Paper on Model Agnostic Globally Interpretable Explanations
                KB article on Random Forrest Algorithm

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