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☕[AT Community Q&A Coffee Break] 2/24/21, 9am PT: Rob Hornick, Senior Product Manager for Adobe Target☕

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Amelia_Waliany
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Amelia_Waliany
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09-02-2021

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

taking place Wednesday, February 24th, 2021 @ 9am PT

👨‍💻👩‍💻Be sure to MARK YOUR CALENDARS with a link to this thread👨‍💻👩‍💻

We'll be joined by Rob Hornick, aka @Rob_Hornick, Senior Adobe Target Product Manager, 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 his areas of expertise:

  • Recommendations
  • Auto-Allocate
  • Auto-Target
  • Automated Personalization
  • Personalization
  • Machine Learning & Artificial Intelligence 

🎯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 @Rob_Hornick
  • When exchanging messages with Robert 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 Robert

💡**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 2/24 @ 9am PT, and hop onto this thread for direct answers to your Q’s from Rob.

 

Rob Hornick Headshot (1).jpg

 

 

Rob Hornick is the Senior Product Manager for Machine Learning and Personalization with Adobe Target, based in San Francisco. Rob is energized by building tools to personalize digital experiences and by putting advances in machine learning into marketers’ hands. Prior to joining Adobe, Rob was a Manager with Accenture Digital where he helped marketers optimize their processes and technology.

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 1/13/21 Adobe Target Coffee Break with @Robert Calangiu 

Adobe Target Coffee Break Product Management Q&A

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helvoirt
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23-02-2021

@Rob_Hornick How do you keep everything manageable and maintainable when scaling up the number of A/B tests and setting up for personalisation at scale across multiple customer journeys? Any advice or best practices you can share?

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kadcock
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24-02-2021

@Rob_Hornick We are easing into using Profile Scripts.... are there best practices around how many is too many?  At what point do they impact page load performance?  Etc.

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FDmAmG
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24-02-2021

Hey, @Rob_Hornick any preference or best practices on using auto-allocate vs. sample size calculator for a/b testing?

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RobHornick
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24-02-2021

Good morning and welcome! Looking forward to chatting with you all today. I'll begin answering questions shortly!

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ToddWeston
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24-02-2021

@Rob_Hornick 

I'm struggling with understanding how to get Auto-Target or Auto Personalization to use our custom data attriubutes.  We have a number of items we send to Analytics that we would like it to consider.  1) How do we teach the ML algorithm about these.  2) Is it configurable in any way?   Thx!

 

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RobHornick
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24-02-2021


@FDmAmG wrote:

Hey, @Rob_Hornick any preference or best practices on using auto-allocate vs. sample size calculator for a/b testing?


Hi @FDmAmG ! Auto-Allocate can be used almost any time you would run an A/B test, but it can be especially good to use in the following circumstances:

  • You have a limited amount of time for your test. This can be the case when a test is only relevant for a period of time (e.g. a promotion tied to President's Day Weekend or "The Big Game", or a landing page associated with an external email blast or a conference). Auto-Allocate begins shifting traffic to winners before the result is final and allows you to realize more lift in a shorter amount of time than traditional A/B tests.
  • You want to test more than two experiences. Traditional A/B/N test methodologies require much more traffic when you add more experiences. Because Auto-Allocate reduces traffic to losing experiences, it's able to do a better job of finding differences between winning experiences.
  • You don't want to worry about the statistical calculations. This one is self-explanatory!

You might want to run a classical A/B test under the following circumstances:

  • You need a high degree of confidence about the magnitude of the difference between experiences. Because Auto-Allocate shifts traffic to winners, you may have a wider degree of uncertainty around the "true" conversion rate (or revenue, etc.) of a losing experience.
  • When it's important to you to say that "there was no winner" within a fixed timeframe. Traditional fixed-horizon A/B testing has a defined end date for the test and at the end of that timeframe, you can say "We did not reject the null hypothesis; version B was not proven better than version A." Auto-Allocate doesn't have a fixed end date in mind, so you might be left with a less definite conclusion.

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Rami_Hammad
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24-02-2021

@kadcock Here's a helpful link, it mentions all the limits in Adobe Target: https://experienceleague.adobe.com/docs/target/using/troubleshoot/target-limits.html?lang=en#orderid...

 

Specifically the section:

 

Profile scripts

  • Recommended limit of active profile scripts: 300

  • Recommended limit of total profile scripts per account: 2,000

Hope that helps!

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FDmAmG
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24-02-2021

The last bulleted item was something I hadn't considered! Thank you @Rob_Hornick 

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24-02-2021

@ToddWeston  @Rob_Hornick Re: using custom attributes in Auto Personalization-- it seems like Target is pulling in custom analytics segments shared to the Experience Cloud, but no other Analytics data other than standard metrics. We are specifically interested in key custom events that have been set up to define success actions on the site.