Join us for the next Adobe Journey Optimizer Community Q&A Coffee Break!
Topics discussed in the Adobe Summit EMEA 2023 session on Build Personalised Mobile Moments with Adobe Journey Optimizer, scheduled for June 9th, i.e.,
Participating is easy:
Meet the Experts
Robert Calangiu is a Senior Product Manager leading web personalization on Adobe Journey Optimizer. He was previously PM for Adobe Target focused on optimization, experimentation, visual editing, and integrations with other products as Analytics and AEM. And before that, Robert worked as a product manager for Adobe’s TV Everywhere portfolio, leading Authentication & Fraud Management solutions. He is passionate about building customer centric products and helping customers solve the right problems.
Alan Kirkham is a Solution Consultant with over four years’ experience working with Adobe Campaign and digital omnichannel journeys. Alan has enjoyed working closely with large global customers helping them to maximise their use of Adobe products. Before working at Adobe, he acquired over 10 years’ experience working in large organisations as a Solutions Architect and Project Manager.
Erik Wiener aka @erikw342711, Director Platform Engineering
Daniel Cristian Popescu, aka @dpopescu, Sr Software Engineer
Add your Adobe Journey Optimizer web channel and in-app related questions below any time before or during the Coffee Break on Thursday, June 22nd, when you can watch the page and be ready to add follow-up questions and discuss further with other community members!
How do I exclude customers from a journey if they have reached a goal?
Do i have to test if the success event happened always before an activation?
The customer will not fall into the journey or the branch of the journey, if they don't meet the criteria. So, it depends how you define the event. E.g. if the event that triggers the journey is that the customer reaches the gold status, then any customer who already has the status will not fall into the journey when it is triggered, it will only be triggered for those customers who reach the gold status after journey activation.
Consider that I'm doing a abandoned cart journey - my evaluation criteria would be AddToCart without Purchase in last 30min or something, and I intend to activate the customer for 7 days.
If a user converts the next day, would that mean he would be automatically excluded from the journey, or I would have to check everytime.
The same could apply to your example - if a user reaches gold member, and drops to silver the next day, would he be excluded from a 7 day journey?
Once the user has entered the journey, they remain in the journey, even if they don't meet the criteria anymore after they entered. For the journey you describe, I assume your objective would be to get the customer to finalize their check-out. So, you would send them a call to action, if they abandoned their shopping cart. You would then check their status and if they check out, you send them into one branch, which could end their journey. If they still haven't checked out after a certain time, you would send them the second call to action etc.
We want to compare journeys performance against audiences like AB testing (e.g.: control group VS activated group). What is the best way to achieve this - does content experimentation help?
Right now we are using percentage split, and then updating the profile for each so we can measaure in which group each customer was allocated to and hence compare performance.
Content experimentation is available only for AJO Campaigns at this moment, so you can experiment to find the best content for an audience on a particular channel, like web, in-app, email, etc.
In your use case where you want to compare journeys performance against audiences, the current approach with percentage split is the way to go until we'll introduce content experimentation in the journeys canvas.
And what would be the best practice for me to measure the impact of the split?
Should I put an "update profile" after the split, and create a schema to capture in which Journey each user is?
I don't think there is a best practice defined yet for handling this, but we will try to find someone who can give guidance here.
Are you able to walk us through the 'enrich data' feature that sits within AJO?
The Enrich activity is part of the new Audience Orchestration which sits as an alternative to using the Segment rules and can be used in your journeys. This activity allows you to enrich your audience with additional attributes coming from Adobe Experience Platform datasets. For example, you can add information related to the product purchased like its name, price, or manufacturer ID and leverage these information to personalize the deliveries sent to the audience.
This is outlined on this Experience League page - https://experienceleague.adobe.com/docs/journey-optimizer/using/segment/audience-orchestration/compo...
Hi @kirkham
There was a mention about bringing in external datasets into 'enrich' audience feature. Does that mean that we can bring in data from other sources like facebook into this?
Thanks
You could bring in data from other sources in to a dataset so that this could then be used for enrichment.
will this have an online session or just here on the community?
@asdruble-lima this session is chat only.
Hi all, happy to join the AJO Community and take questions from you during our Coffee Break.
Let's get started
how is data privacy handled when custom action is in place to activate data to 3rd party tools?
AJO supports data governance and consent by allowing you to specify the "marketing action" associated with each custom action and then defining the data governance and consent policies associated with that marketing action. This allows you to control, for example, what profile data is allowed to be sent to third parties, and allows customers to opt-out of having their data sent.
Please see this page for more details:
https://experienceleague.adobe.com/docs/journey-optimizer/using/privacy/action-privacy.html?lang=en
@erikw342711 This info is helpful. Thanks
When a user exits a segment used in segment qualification, does he automatically exit the journey using this segment? As if the segment only considers users who have never bought before, but buy after entering the journey.
Once the customer has entered the journey due to segment qualification, then they are in the journey to the end. What you could do is have a condition check further in the journey to see if their status has changed and then have them exit.
When using a Time Condition in the journey, will all subsequent actions be triggered in the same frame? For example: I limit the push trigger between 08:00AM and 11:00AM, and put a wait of 1 day to send an email. Will this email be sent respecting the same original condition? And is this 1 day considering exactly the push trigger time?
Assuming you are adding a wait condition after the push. Then it will start counting down once the push notification has been sent and will send the email exactly 24 hours later. So, if you only send the push between 8am and 11am, the email will also be sent during that time frame the next day, at the time the push notification was sent the day prior.
Is it necessary to enable the Audience Orchestration that you mentioned in another answer? I don't see this option in the AJO interface
Audience Orchestration or Audience Composition, how is now officially called, is currently in Beta for a few selected customers and it should go GA for all customers soon. You'll be able to see it once it goes GA.
Is there any way to know which journeys a profile is on or has been on?
This is possible if you build and run a query using AEP Query Service .
Thanks @Robert_Calangiu, @kirkham, @erikw342711 and @SHausmann for taking the time out today and answering questions for the Journey Optimizer Community.
Event starts:
Jun 22, 2023 - 08:00 AM (PDT)
Event ends:
Jun 22, 2023 - 09:00 AM (PDT)