Adobe Journey Optimizer

I have the following scenario for AJO Journey Orchestration and would like to understand if there are any recommended approaches for handling this action.I am aware of the Update Profile option , but I want to explore whether there are other approaches for this use case. This is for a Push Notification scenario where we are not using the AJO native channel; instead, we are using a Custom Action integrated with an external API.Scenario:Deploy V1 to Audience 1(batch campaign). Stop V1 after it has completed. Deploy V2 to Audience 2(batch campaign) and exclude all recipients who received V1.What would be the best approach to identify and exclude the profiles who received V1 when V2 is deployed?

Does anyone have any experience creating a MMS message using Code Based Experience? The configuration setup looks like it’s strictly for In-App use, and not code that I can push to the service carrier as a JSON. The issue is there are some campaigns where we would like the image to appear before the text. The current MMS template places the image below the text. Please advise. 

The business I am working in is currently migrating to Adobe Experience Cloud utilising AEP and AJO as core products. We have discovered the OOTB AJO email seed list capability is not fit-for-purpose. This because the seed list can only be associated with one test profile at each email surface configuration.Our business context:We already have a total of 16 email surface configurations across four brands including consumer, business, marketing, and transactional email communications. There are multiple lines of business within the business, multiple projects on the go at once, and multiple product and marketing campaigns regularly launching.  At any given moment we have thousands of email communications in-market. It is difficult to keep track of what is in-market, and all of the personalised email variations. Marketing & Product want to be able to see all of the email variations in-market, especially when an email incorporates dynamic content. They want the capability to regularly

Hi Team,We have a AJO journey where we are fetching some data like Text and URL using a API call in a custom action and then using the variable fields like: {{{offerCard.offerCardImage.body}}} and {{{offerCard.offerCardImage.url}}} to populate the details in the HTML email.Its working fine but for the URL part we had to use <a href="{{{offerCard.offerCardImage.url}}}">Click Here</a> due to which AJo is not able to track the URL in reporting as well as its not able to encode the URL with the UTM parameters like it does for the hardcoded URLs.I have tried using <a href="https://{{{offerCard.offerCardImage.url}}}">Click Here</a> but it gives me an error saying: Personalisation not allowed in domain.Also if I do like this: <a href="https://{%= (replace(offerCard.offerCardImage.url, "https://", "")) }">Click Here</a> the double quotes get converted into the code " breaking the HTML while saving.same happens with: <a href='https://{%= (replace(offerCard

Enable a client into a journey. A journey in this case could be serious of steps a client has to taken to complete an action. Taking an action is supported in multiple channels like web, mobile in app, email and push notifications. How would one should think of creating an omni channel journey that helps us visualize end to end client move through the journey? Question: How can Adobe Journey Optimizer support an omnichannel client journey today and in the future?I’m looking for guidance on how to model and orchestrate an end-to-end, omnichannel client journey using Adobe Journey Optimizer (AJO).In this context, a journey represents a series of steps or actions that a client needs to take to accomplish a specific goal. These interactions may happen across multiple channels, such as:Web Mobile/in-app Email Push notificationsFor example, a client may start an action on the web, receive an email as the next step, continue the process in the mobile app, and then receive a push notification

Hi everyone,I'm trying to build an Event-Based Journey in Adobe Journey Optimizer where the journey should start immediately after a customer submits an AJO Landing Page Form.My setupCreated an XDM ExperienceEvent schema. Created an Experience Event Dataset based on this schema. Created a Streaming Connection. Created a Form Preset and selected the Experience Event Dataset. Created an AJO Landing Page using this Form Preset. Form submission reaches the generated HTTP API Source/Dataflow successfully.ProblemThe Dataflow runs successfully, but every submission fails during dataset ingestion.Error: DCVS-1106-400The message cannot be validated because a required property is missing:required key [_id] not foundObservationsForm submission reaches the HTTP API Source. Source Flow is created automatically. Records are received but none are ingested. Experience Event schema contains the standard required fields including: _id timestamp The generated schema sample JSON includes _id. Mapping al

Hi,I am having some difficulties understanding the documentation regarding event reactions.I have added an event reaction “clicked” with a following email to those who have clicked. If I add an event timeout of 7 days, will the email to those who clicked wait 7 days before being sent? Or will the email be sent immediately when someone clicks? 

Hi, we have a Channel Capping Rule of 1 Email per day shared across multiple journeys.# Example:Journey 1Trigger → EmailJourney 2Trigger → Email 1 → Wait 1d → Email 2 → Wait 1d → Email 3Scenario:Day 1: Journey 2 - Email 1 → SENTDay 2: Journey 1 - Email → SENT       Journey 2 - Email 2 → EXCLUDED by cappingWe need Journey 2 to behave like:Day 3: Retry Email 2Day 4: Email 3The problem is that a capping exclusion does not trigger the Email error path, so the journey continues normally.We also want to avoid creating one recovery journey or audience per communication because it would not scale.Is there a more native/scalable Adobe-recommended solution for this use case? Even with Data Distiller is something dificult to achieve.Thanks.

Hi! I’m working on a use case where an email was not sent because the profile had reached the daily frequency cap.The client would like to keep that communication on hold and retry it the following day. In other words, if the email is excluded today due to capping, it should automatically be sent tomorrow once the profile is eligible again.Is there a way to achieve this behavior in AJO?Thanks! 

Is it possible to measure with AJO how much revenue particular email sendout generated?User opened email User went to web User bought something on a webI do not thinks so because I do not see such a metric in AJO but I would like to confirm 

Rules are the quiet workhorses of decisioning. They decide who’s eligible, who’s excluded, and which conditions have to line up before an offer, a message, or an experience is allowed through.They’re also, historically, one of the more technical things a marketer is asked to build — a careful stack of attributes, operators, values, and logic that has to be exactly right to work at all.The gap has always been the translation step. You know, in plain language, exactly who you want to target: “loyalty members in New York who haven’t opted out.” Turning that sentence into a valid rule expression — the right attribute paths, the right operators, the right nesting — is where the friction lives.AI-assisted rule authoring closes that gap. You describe the rule you want in everyday language, and the AI Assistant generates a ready-to-use rule suggestion, complete with the underlying expression, that you can apply to the builder with a single click. This post walks through where to start, how it

I am trying to build a journey using the wave feature to send over 10 days. The send will be flighted each day over the 10 days. I have tried to dry run / use simulation to test the journey, and I keep drawing an error to say last wave must be within 6 days and 18 hours from journey start. Can waves not go beyond this time? Do we have to keep it within 6 days and 18 hours from journey start or is there a way around this? Thanks!  

I see the new 13 month in lake and 90 days in profile store have been implemented across the AJO experience tracking dataset. How is unsubscribe being managed now? I’m seeing cases of where customers have opted out of a communication by clicking the unsubscribe link, being opted back in. the unsub is in the lake, but not in profile any more. What is Adobe doing to manage this? I’m seeing massive GDPR issues here, unless I’m hopefully mistaken regardsMaec

Hi All I have a requirement for a landing page with five Opt-in/Opt-out services.If a user selects one or more specific services for Opt-out and then clicks the Call-to-Action (CTA) button, only the selected services should be opted out. If the user clicks the CTA button without selecting any specific service, the user should be opted out of all five services by default.How can we implement this logic in AJO? Thanks Gowtham Raj

Is there something to consider for push daily capping? I've applied capping to push but users are receving the push even with the daily capping.

Hi Everyone,I am not able to find where I can get the contextual data from API triggered campaign payload within AEP/AJO datasets after email sent out.Normally you would see some metadata on AJO Interactive Messaging Profile Dataset, however I could not find contextual data in it. Thanks!

Hi all,I have a requirement for a landing page with five Opt-in/Opt-out services.If a user selects one or more specific services for Opt-out and then clicks the Call-to-Action (CTA) button, only the selected services should be opted out. If the user clicks the CTA button without selecting any specific service, the user should be opted out of all five services by default.How can we implement this logic in AJO? Thanks Gowtham Raj

How would you debug Ranking Formula in Decisioning?Create selection strategy in code base campaign with test profiles and check if for specific profiles best offer is returned?  

Hi everyone,We are trying to better understand the actual behavior of the “Trigger after batch audience evaluation” option in AJO, because in our case it does not seem to behave the way the documentation and UI tooltip suggest.From what we have observed, if the first run of a daily journey happens before the export job for that day is available, the journey ends up using the previous day’s snapshot instead of waiting for the current day’s audience evaluation/export to complete. After that, each subsequent run appears to keep following the same pattern, since it only checks whether a newer snapshot is available compared to the one used in the previous execution.That makes us wonder whether this feature is really behaving as expected. In practice, it seems that if the first run happens too early, the journey can stay one day behind indefinitely, which makes the configuration much less useful for daily journeys than we would expect.The behavior we are expecting is that the journey should