Adobe Journey Optimizer

TITLE EDIT: Rulesets at action levelhi ! is there a way to retrieve all journeys which are using a rule set? using API or query service? I already know that journey_step_events is handling those ruleset values but is there another way at action (communication) level? thanks

How would you debug? Send request to Edge Decisioning API for the same user (ECID)? Is there any system dataset which tracks capping? 

Hi thereIs it possible to dynamically iterate/loop through all account numbers in an accountDetails array within an AJO Custom Action expression and:Return all account numbers for a customer Display only the last 4 digits of each account number Format the output as: 1234 1234 and 5678 1234, 5678 and 9012 (for 3+ accounts) Thanks!

I'm looking for guidance and best practices from anyone who has implemented bilingual SMS compliance keywords in Adobe Journey Optimizer (AJO), particularly in a Canadian context.ScenarioWe're using:Adobe Journey Optimizer (AJO) Sinch as our SMS provider A single shared short code for both English and French audiencesAs part of Canadian SMS compliance requirements, we need to support mandatory opt-in/opt-out keywords in both languages, including:EnglishSTOP HELPFrenchARRET AIDEChallengeThe integration documentation between AJO and Sinch appears to rely on a single inbound webhook endpoint for processing SMS replies. Based on the documentation I've reviewed, I haven't found a clear approach for configuring language-specific automatic responses.For example:If a user texts STOP, they should receive an English confirmation message. If a user texts ARRET, they should receive a French confirmation message.However, with a single shortcode and what appears to be a single inbound processing pat

Hi all,I'm trying to understand a specific aspect of AJO's decisioning capability. Does AJO's decisioning engine have the ability to generate/select offers purely on its own — using only internal AJO/AEP configuration (like offer eligibility rules, priorities, and constraints) — without needing to pull any profile or event data from an external/3rd party source into AEP?

If the Custom Action is used in live journey I am not able to change the payload, authentication etc? 

Im using the following query to consult ClientIDs that entered a specific action (Email action): SELECTDISTINCT identityMap['clientId'] [0] ['id'] AS node_enter_profilesFROMjourney_step_eventsWHERE_experience.journeyOrchestration.stepEvents.journeyVersionID = 'd67b3772-71a9-4d4c-b78f-a7c5373f8034'AND _experience.journeyOrchestration.stepEvents.actionID = 'b5a8420a-899b-437b-97fd-4a425f7a4e71'AND COALESCE(_experience.journeyOrchestration.stepEvents.journeyNodeProcessed,false) = trueAND (_experience.journeyOrchestration.stepEvents.dryRunID IS NULLOR _experience.journeyOrchestration.stepEvents.dryRunID = '')AND COALESCE(_experience.journeyOrchestration.stepEvents.inTest,false) = false Is there a way to include in this query, the date of the start of the journey as well as tags related to the journey?

Hi ​@Pulkit_Jain_   I am getting a an error during form submission. Fyr I am sharing an screenshot below. 

This dictionary do not work :)AJO Schemas

I got the error in Custom Action AJO journey - 400Is there any chance to preview what payload was sent?Is there any chance to get more details about the error? 

How AI Put a Reliability Promise on Every AJO ServiceGiving nearly every service behind Adobe Journey Optimizer a measurable reliability commitment — at a speed and scale that manual work could never have reached. In our last post, From Gut Feeling to Grade Point, we walked through the Service Scorecard — the automated grade every AJO service earns across four dimensions of quality. One of those dimensions is Reliability Against Our Commitments: how much reliability margin a service is holding against the target it's promised to meet.That dimension is only as strong as the reliability targets behind it. Today, with an SLO defined for 90%+ of AJO services, we have clear, standardized visibility into exactly what each service is expected to deliver — and how much margin it's holding against that target.This is the story of how AI got us there — giving nearly every service behind AJO a precise, measurable reliability commitment, at a speed and scale that would have been out of reach any o

Does the star means that these fields are required and cannot be empty?  

Is it (still) possible to add a one-click optout link in the email opting out from a subscription list (not channel or identity level)?There is an old post about this, but the “Optout level = Subscription” is not available when I try to configure a journey. I am starting my journey with an ootb subscription list audience, and according to comments it should be available then.

Hi everyone,I’m running into an issue trying to call an AEM fragment directly. My approach: I retrieve the fragment ID manually via a Lookup activity, then pass it into the Fragment Helper function as a context attribute sourced from the dataset lookup in email.This works perfectly fine for AJO fragments, but the same method doesn’t work for AEM fragments.Has anyone else run into this, or know what might make this work for AEM fragments specifically? Any pointers would be appreciated.Thanks in advance! 

Hi! We have a requirement where marketing email journeys can send between 10:00 AM and 7:00 PM, but no email should be delivered after 00:00.We are considering: Email Retry Period: 6 hours Quiet Hours from 00:00 Quiet Hours behavior: Discard message Question: if an email is sent before 00:00, goes into delay/retry, and Quiet Hours starts while it is still retrying, will Quiet Hours + Discard stop those retries?Or will the retry continue independently until the configured retry period expires?Is there any native AJO option to define an absolute expiration such as: discard any unresolved email at 00:00? Thanks

Why something like do not return anything? This journey exist - checked with query without WHERE clause. What Query do you use to check Node Name or Node ID? 

Hi Experience League Community,,I am trying to configure WhatsApp API credentials in Adobe Journey Optimizer (AJO). When I enter my API Token and Business Account ID, I get the following error:"(#100) Tried accessing nonexisting field (owned_whatsapp_business_accounts)"Thanks

The recording of today’s Experience League LIVE show is now available on Experience League.https://experienceleague.adobe.com/en/on-demand-events/exl-live-episode-08-26-26 In this Experience League Live session, we introduce Adobe Journey Optimizer Loyalty, a new orchestration layer that sits above your existing loyalty platform to turn static points ledgers into responsive, AI-driven experiences. Whether you're running a mature loyalty program or testing engagement tactics, we show how AJO Loyalty connects loyalty data to the same orchestration engine already powering your broader customer journeys. We walk through how always-on AI surfaces insights and recommends next-best tactics for your marketers, how to build challenges that gamify customer behavior and personalize rewards, and how to orchestrate loyalty messaging alongside the rest of your customer journey, all without replacing the loyalty management platform you already rely on. Join us to see how loyalty can move from a backw

Hi AJO Community,I'm trying to confirm the exact behaviour of channel-level frequency capping within a multi-step journey, specifically when the Global Rule Set is involved. I'd appreciate any official confirmation or real-world validation of what I've outlined below.Our Setup:We have a Global Rule Set (channel domain) with two active email rules:Daily Email Limit: 1 email per dayWeekly Email Limit: 3 emails per weekOur journey is a Read Segment (batch) with the following structure:Email 1 → 10-Day Wait → Email 2My Understanding of the Behaviour:When a profile enters the journey and hits the daily or weekly cap at Email 1, the message is skipped but the profile continues moving through the journey canvas — it is not ejected. The exclusion is recorded at the message delivery level with reason code ExcludedForControlRules (050002).After the 10-day wait, both the daily and weekly caps will have fully reset (daily resets at midnight UTC, weekly resets Saturday at 23:59:59 UTC). So assuming

Hi Team,We have a AJO journey where we are fetching some data like TEXT and HTML using a API call in a custom action and then using the variable fields like: {{{offerEmail.body.text}}} and {{{offerEmail.body.html}}} to populate the details in the HTML email.Its working fine if i use {{{offerEmail.body.html}}} but breaks if i use {{{offerEmail.body.text}}} like: Hi Customer/n/nHere is your test email/n/nClick Here.Hence i used HTML as its populates the partagraphs and the email looks good. Now the issue is that the API contains few API specific personalisations as well like: {{profile.person.name.firstName}}, {{profile.person.name.lastName}} and many more and while populating the content inside of the email body in AJO it does not open up to show the respective value but just shows the personalisation fields including the handle bar like: Hi {{profile.person.name.firstName}}Here is your test emailClick Here. Is there a way to get the values populate the values from the profile instead o

Hi there, Is it possible to use a combination of batch and streaming audiences in a single journey (noting - both use active on edge evaluation method). I have created a journey with the following:audience qualification based on a streaming audience using events Node checks if the member is part of a batch audience One hour wait  Node checks if member is part of a streaming audience Email Five day wait Node checks if the member is part of a batch audience. Will this journey reliably work with the combination of streaming and batch audiences? 

Hi all,I have recently gained access to the AJO feature ‘Optimize for AI Inbox’-feature for e-mails, which should make the text version of the e-mail optimized for an ai e-mail inbox, ultimately resulting in higher engagement. I find the feature super easy to use, and I like the use case as a simple step towards making our e-mail deliveries more AI-ready.A feature like this is very easy and interesting to perform a split test on, so I have already setup 2 separate split tests. Test 1: Bulk/One-off 50/50 split with around 50.000 customers in each treatment (Ecom sales e-mail)Result: No significance in either open rate or CTOR. Test 2:Always on survey/customer satisfaction e-mail. 50/50 split.Result: Low volume as of now, so too early to conclude. Disclaimer: I’m situated in Denmark (so are the customers from the test), and I’m aware of differences in european versions of email clients such as Gmail, where we don’t have full roll-out of the AI inbox feature yet. So I’m keen to hear from

I noticed that capping is not counter properly in Offer Decisioning. Which schema is responsible for that:1. ajo_inbound_activity_event_dataset2. ODE DecisionEventsDoes the event that the offer is displyed and clicked in Mobile SDK is generated automatically or manually? In order for the capping to work I need to include of these two datasets include in Datastreams (that is what Adobe support advised). However these two schemas has different structure then that specific for Mobile SDK?

Is your loyalty program actually driving growth, or is it just... sitting there? A static points ledger that doesn't talk to the rest of your customer journey? Join our next Adobe Experience League Live session on AI-Powered Loyalty Orchestration with Adobe Journey Optimizer Loyalty, where we're digging into exactly this problem. Here's what my guests Keara Fausett, Daniel Vivas, and Tyler Hoguewill be showing: ✅ How AI can surface insights and recommend next moves for your marketers, automatically ✅ Building challenges that actually gamify customer behavior (and make rewards feel personal) ✅ Weaving loyalty messaging into the rest of your customer journey, instead of running it in a silo ✅ Connecting loyalty data to AJO's orchestration engine — without ripping out what you've already built📅 Wednesday, August 26th 🕑 2 PM PT If you've ever looked at your loyalty program and thought "there has to be a smarter way to do this", this session is for you. Come join us.Register now: https://