Adobe Target

drewb6915421 · 5/6/25

Hello everyone, looking forward to answering questions on Target announcements and anything else you are desiring more information on! Fired up with all of our big announcements, modernized UI and new Gen AI features!

chris-luckett · 5/6/25

Hi @drewb6915421, frustratingly I haven't had time to review all the exciting new Target features that were announced at Summit in detail yet, but in terms of the sample questions above, I'm interested to understand how the new flicker management release reduces flicker and in terms of the new enterprise permissions you've released are there any plans to extend this to "Product Recommendations" i.e. right now I believe anyone with any access to Target can edit and publish Recommendations designs and criteria regardless of whether these are being used in LIVE activities or not.

drewb6915421 · 5/6/25

@chris-luckettA lot of big announcements at Summit, including a new modernized UI with improved Platform interoperability that is rolling out over the next month to customers, AI Assistants for product knowledge and content generation (VEC), improved flicker management, and a new experimentation agent that leverages Gen AI for analyzing current activities and suggesting next best opportunities for optimization based on desired outcome. The new flicker management will reduce (and even remove) potential flicker greatly by masking only the part of a page where an activity is being delivered and only when the activity is running, so it reduces the requirements for delaying load significantly in a client-side implementation. Interesting suggestion on Permissions for Recommendations specifically - we can look into that, but I want to stress that the best way to manage this issue currently would be to assign the desired restricted users an Editor permission level. This will mean that they can construct algorithms or even activities, but can't push them live. This means that an Approver or Publisher has governance over the algorithms and recommendations activities built by an Editor.

cristinel · 5/6/25

@chris-luckett Just to add on this, we are looking at expanding permissions so that we move to a granular permissions system which will allow for creation of custom roles to support specific tasks or teams.

drewb6915421 · 5/6/25

I know there will be questions around AJO Experimentation Accelerator, a new Gen-AI-powered experimentation agent built for Target (and AJO) that analyzes existing Target activities and provides next best suggested activities with projected outcomes for you to consider and to assist with prioritizing your optimization practice. To request early access, visit this page and sign up: https://business.adobe.com/products/journey-optimizer/experimentation-accelerator.html

chris-luckett · 5/6/25

I signed up last month for this, do you know when we will find out if we are eligible to take part in the early-access beta?

drewb6915421 · 5/6/25

@chris-luckettGreat news! We have a lot of early access requests that we are reviewing currently. As this is a Gen AI features, there are riders and other requirements that need to be signed off on before we provide access. I know the beta team is doing this in a rolling manner as they are also wanting to engage with accounts and receive feedbacks on additional enhancements and requests. I can follow-up to see where they are at in the process on your behalf

chris-luckett · 5/6/25

Thanks @drewb6915421! A lot of people excited to learn more about that one here

drewb6915421 · 5/6/25

@chris-luckettWe are so excited for you to get your hands on it and to develop it further. It is a prime example of how Gen AI can be applied to areas of the optimization strategy and execution in a program to bring faster creation and intelligence to the process. It is going to be a game changer in terms of fine-tuning and scaling our programs!

drewb6915421 · 5/6/25

@chris-luckettThis was related to the recommendations permissions

drewb6915421 · 5/6/25

A few more Target Summit announcements is CDN experimentation, an evolution of our on-device decisioning which provides near latency-free testing and targeting leveraging EDGE workers such as Akamai. We ran a lab that showed how it doesn't require a call each time to Target servers and is ideal for use cases where performance is important, such as feature management/flagging. We also showcased an integration with Workfront Fusion that creates an auto-testing process for activity creation that has sped up activity creation by 4X, so ideal for testing and personalization at scale.

chris-luckett · 5/6/25

Sorry, one more from me, and slightly off-topic, but relevant to my organization - we often have use-cases to run geo-targeted activities, but with the majority of our shoppers now being on mobile devices, IP-geo location isn't always very reliable certainly at the more granular locations like City and Zip code. Is there any way, other than asking shoppers to explicitly share their location using the geolocation API to improve the accuracy of this for anonymous shoppers?

drewb6915421 · 5/6/25

@chris-luckettYou've raised a great topic for discussion. GPS isn't as accurate as geo-location for the desktop web for sure, but I'm wondering if there's potentially a configuration that could help with pinpointing GPS such as Points of Interest with our Core Services. What are the use cases you are desiring accurate GPS for with Target? Here is more information on mobile targeting, and we do provide geo-location data leveraging Digital Envoy, which is one of the top providers: https://experienceleague.adobe.com/en/docs/target/using/audiences/create-audiences/categories-audien...

chris-luckett · 5/6/25

Thanks @drewb6915421, a couple of scenarios include targeting:

- shoppers within a certain proximity to one of our physical retail stores.

- shoppers affected by disruption to our normal operations due to extreme weather events.

- shoppers within a certain proximity to an event we are running

drewb6915421 · 5/6/25

@chris-luckettThat's why I asked - great! I do think assigning POIs (Points of Interests) in our Core Services would help with pinpointing proximity to a location for the store/event use cases - we have hotel chains that do that for identifying if a customer is trying to book a room near a property, and that could assist with the GPS accuracy. Disruption based on weather is interesting - I think you could probably get more general GPS location as weather affects a city most often, and weather data could then be married with that more general geo-location data to identify an audience that needs to be targeted with specific weather-related disruptions.

chris-luckett · 5/6/25

Great! Is there any documentation you can share on how we would go about achieving this (assigning POIs) or is it something that would need further investigation for a potential future enhancement?