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Hi,In our application, we initialize Intercom on page load. When user logs in, we shutdown the existing Intercom instance and boot again with user details. The messenger is loaded through a custom launcher. When the messenger show() is triggered, it seems the messenger doesn't even begin to load for quite some time as seen from the Network tab in dev tools. This makes it looks like as if the customer support chat is not working in our application, which is frustrating. Could you please help us debug this issue? We use the @intercom/messenger-js-sdk package. 

We were able to go on Phone queue but whenever we receive calls , agents cant be heard. All headset and sound setup were working fine. tried basic t/s but issue persists.

We have setup intercom as our helpdesk for our Shopify ecommerce business. Customers who are logged in to their shopify account are getting excellent replies from FIN, with order information etc. But when a customer chats to FIN and they are not logged in, they only get generic knowledge center information. What is the best workflow / solution to make sure Visitors log into shopify before chatting?Can FIN prompt the user to log in at the start of a visitor chat? Can FIN authenticate the user just with the email / order number? We’re also looking for someone to review our whole setup and offer some improvements, please get in touch if you can help us out. Thanks! Scott 

Hey everyone 👋 We’ve been reworking our Knowledge Base structure as our platform has expanded, and I’d love to hear how others have approached this. We’ve recently rolled out several new core products, so it made sense to create a category (mini hub) for each one.However, we also have tools that span all products - for example, an email tool that’s used across multiple product types. My current idea is to move these shared tools into a separate category like “Platform Tools and Features.” The tricky part is that while the email tool touches most of the products, its functionality has small nuances depending on the product. I’m torn between: Keeping all email content centralised in one place nested under a tools section e.g. having an email section (simpler to maintain, easier to find)vs. Referencing it within each product section for context (but risking duplication and confusion - for example, users searching for email help might find multiple references across different categories

Hello all, we have a number of use-cases where we need to engage with 3rd parties for “shared customers” in a form of “ticket sharing”.Current practice is to use a side-conversation and trigger an email (which is likely a conversation part) to that 3rd party, and then responses from that 3rd party link back to the side conversation.Whilst the above sort of works, it is not the most intuitive experience as it is not obvious that there has been a response (you have to open each ticket, navigate to side conversation, see a traffic light indicating a new email).The bigger challenge is this does not consistently work (it does with Zendesk as it was levelling feature to match what they do), but does not for SPRINKLR and Service Cloud where the responses to side conversations create a whole new disconnected conversation, resulting in additional handling and bringing together of conversations.Has anyone done much work on how to connect 3rd party systems and “share tickets”? Is side conversatio

Has anyone tried implementing context-sensitive help in your product like how Intercom uses its help articles and customizes the Learn button drop-down?

Since the upgrade to 9.*.* of version for React Native Intercom (https://github.com/intercom/intercom-react-native), we can no longer build and compile our Expo React Native app for iOS.Somehow the Intercom upgrade introduces a failure where C++ files are not correctly mapped during compiling. This is only when combined with other packages (in our case UserCentrics for RN).It is important to highlight that although other third party apps are involved, Intercom’s upgrade breaks the building process. Compiling fails with: 13 | 14 | #ifndef __cplusplus> 15 | #error This file must be compiled as Obj-C++. If you are importing it, you must change your file extension to .mm. | ^ This file must be compiled as Obj-C++. If you are importing it, you must change your file extension to .mm. 16 | #endif 17 | 18 | // Avoid multiple includes of IntercomReactNativeSpec symbolsand 'optional' file not found'tuple' file not found'utility' file not foundI’ve added a minimal reproducible

I have discoverd instances in conversation_parts where the conversation_part.status is in a snooze state even if the part_type is a comment type. How is this possible, because according to this article (https://www.intercom.com/help/en/articles/6564538-snooze-a-conversation) “If you send a reply message in a 'snoozed' conversation that's assigned to you, it will not automatically 'unsnooze'/reopen the conversation.”“If someone else sends a reply, adds a note, or updates an attribute in a 'snoozed' conversation assigned to you, it will be automatically 'unsnoozed'/reopened.” So How come a conversation remain in an snoozed state even after there is a comment from either admin or customer?A comment part type is defined as: Standard reply from customer or admin to a conversation (defined at: https://developers.intercom.com/docs/references/1.4/rest-api/conversations/conversation-part-model#conversation-part-types)  These are the part-types appearing with snoozed state1    comment2    conver

I want to suggest a 2 features to articles: 1. A checkbox that allow us to  exclude a single page for indexing. Ex: pages with contact information. Those pages should be in help center and also be available for FIN, but not for bots. With a single disallow to be added in the robots.txt is enough.2. If you type an email or a URL, and you don't link it, when you save it's linked automatically and if you want these information to be excluded for crawlers you can't.   

Hi all! Support team leaders, I’d love to know -What metric from reporting in Intercom do you use to inform a goal for your team monthly?Number of tickets closed? Number of tickets assigned? Number of replies sent? Or something else? I’m trying to zone in on how many tickets my support team members are handling individually each week.  Thanks!

Is it possible to configure the Switch from Messenger to WhatsApp functionality so that, depending on the brand the customer is interacting with, they are offered a different WhatsApp number? Or is this something that might be available in the future? 

Hi, We are using Intercom's API in Europe and have been experiencing an outage in one of the endpoints since October 25th.It fails with error 504 IntercomException: API service is temporarily unavailable.The status page does not show any incidents https://www.intercomstatus.com/Do you experience any API outages?Thanks!

Hi Intercom Community,I’m trying to fine-tune how FIN handles unresolved issues. Specifically:Is there a way to set a limit on how many times FIN tries to resolve a customer’s question before escalating? Can FIN automatically hand off to a human agent after those attempts?I want to make sure customers aren’t stuck in a loop if FIN can’t help. Ideally, it would try a few times, then gracefully pass the conversation to a person.Has anyone set this up successfully? Would love to hear how you approached it—or if there’s a built-in way to do this.Thanks in advance!—Vanessa

Hi!I have a series with two paths that take users to different checklists depending on their experience level. I wanted to review each checklist’s performance to see if our recent changes improved completion rates.If I check the Series Performance Summary Report (checklists section), I get:Total sent (The total number of checklists that have been sent and displayed to users within this Series.): 61,734 Completion rate (The percentage of checklists sent within this Series where the recipient completed the whole checklist.): 23.5% from previous 55 days (14,528 unique completions)If I check the checklist individually, I get these numbers: Checklist 1: Total sent: 16,021 Completion rate: 4.93% Checklist 2: Total sent: 4,437 Completion rate: 2.84% The amount of checklists sent are very different (from 61k to 20k if I add the individual numbers), and the individual percentages of completion are low and become way higher if considering both.Which data should I rely on to measure the impact

Hi, I am stuck on a workflow automation which attempts to apply a tag to a person, rather than the specific conversation.  Context:  We have some leads and customers who are requesting info for a specific student discount we offer. When these requests arrive, we set the ticket type to discount request. After this type has been set,  I want to automatically apply a tag to the person, not the conversation. I am easily able to tag the conversation, but tagging the person doesn’t work.    The goal is to tag the person, and then we can email this group as a cohort in future for new offers.  This is the automation, and it doesn’t work atm:  Any ideas what the blocker is?  Or how I should be doing this instead of above? Thanks very much for any help! Matt 

Fatal Exception: java.net.MalformedURLException: unknown protocol: content at java.net.URL.<init>(URL.java:608) at java.net.URL.<init>(URL.java:498) at java.net.URL.<init>(URL.java:447) at io.intercom.android.sdk.ui.preview.ui.PreviewUriKt$loadFilesAsBitmaps$1$1.invokeSuspend(PreviewUri.kt:252) at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33) at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:101) at kotlinx.coroutines.internal.LimitedDispatcher$Worker.run(LimitedDispatcher.kt:113) at kotlinx.coroutines.scheduling.TaskImpl.run(Tasks.kt:89) at kotlinx.coroutines.scheduling.CoroutineScheduler.runSafely(CoroutineScheduler.kt:589) at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.executeTask(CoroutineScheduler.kt:823) at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.runWorker(CoroutineScheduler.kt:720) at kotlinx.coroutines.scheduling

Fatal Exception: java.lang.NoSuchMethodError: No virtual method close()V in class Landroid/media/MediaMetadataRetriever; or its super classes (declaration of 'android.media.MediaMetadataRetriever' appears in /system/framework/framework.jar) at io.intercom.android.sdk.m5.conversation.utils.URIExtensionsKt.getVideoData(URIExtensions.kt:146) at io.intercom.android.sdk.m5.conversation.utils.URIExtensionsKt.getMediaData(URIExtensions.kt:51) at io.intercom.android.sdk.m5.conversation.ui.ConversationScreenKt.ConversationScreen$lambda$29(ConversationScreen.kt:286) at io.intercom.android.sdk.m5.conversation.ui.ConversationScreenKt.$r8$lambda$l4hfoRjJBkYl_jEYY6YWj7rurp4() at io.intercom.android.sdk.m5.conversation.ui.ConversationScreenKt$$ExternalSyntheticLambda2.invoke(D8$$SyntheticClass) at io.intercom.android.sdk.m5.conversation.ui.ConversationScreenKt$ConversationScreenContent$35.invoke$lambda$3$lambda$0(ConversationScreen.kt:572) at io.intercom.and

I would like my outgoing emails inside the active correspondence to be sent not from the personal intercom addresses for each agent or personal email address, but from one general email address. For example, inside the conversation, there are 3 agents participating. A, B and C. I would like all the messages to be sent not from 3 different addresses but from one company address. Like support@mail.com . On my workspace end I should still be able to distinguish the messages that were sent by agents A, B, C. Is it possible?

Hey everyone 👋We’re currently using Fin as the first line of support, handling all incoming customer conversations.It works great — once a human agent joins the conversation, Fin automatically stops responding, which makes perfect sense in most cases.However, there are many situations where the agent realizes that Fin could actually continue handling the customer effectively after their short intervention.It would be super helpful if agents could reactivate Fin in a conversation — ideally with a simple button or command — so Fin can pick up right where it left off.Is there a way to do this today? If not, we’d love to see this added as a future feature 🙏Thanks!Tamir

Hi all, we’re pretty new to Fin AI & chatbot setup in general, so we might be missing something, however, I’m seeing massive differences in how Fin responds to questions in the Preview environment versus the actual live environment on our website.As an example – one of our users asked a fairly basic question about our service, and Fin AI responded with “Sorry, I couldn’t find information related to your question.” However, when I pasted the same question into the Fin AI preview (logged in as an organizational user within the Intercom admin dashboard), it returned a comprehensive response and fully answered the user’s question.Currently, we have Fin AI enabled for all Users, Leads, and Visitors via Intercom Messenger only, and have it trained on all of our published support articles, as prompted via the Simple Deploy process.I’ve scoured all available Fin AI settings within Intercom to no avail, and I’m not able to find another community thread about this topic. Can anyone offer me

HelloThere is bug in the integration,Sometimes tickets fail creating with Unauthorized error from jira It seems the intercom is using a wrong/expired header token while sending request to jira I attached here the screenshots  

We are longtime users of Intercom’s API.  The majority of our requests to Intercom’s API succeed.  Here are examples of two payloads that consistently fail.{  "event_name": "new-feature-receive_this_response",  "created_at": 1761447241,  "user_id": "x12x227f8x4067cx7a5dx97x"} {  "event_name": "experiments-show_experiment",  "created_at": 1761447325,  "user_id": "x12x227f8x4067cx7a5dx97x",  "metadata": {    "label": "experiment_questions"  }} When they fail, Intercom’s API just returns a 422 with no additional details about the problem. Reading through the docs, I can’t figure out what is wrong with these.  They both have event_name and created_at, the two required fields.  One has metadata, and one does not, but metadata is listed as optional, anyway.  I tried adjusting the event_names — replacing underscores with hyphens, truncating them &c., even trying a random string of 10 ascii chars, but these requests always still fail.  I got a coding agent to read through the docs, and it

I’m trying to measure the monthly capacity of my team as far as how many inquiries were opened vs closed. Notice i didn’t specify the words “conversations” or “tickets” - i just want to see the total of both but it’s SUPER confusing because in a Conversations report i’m also seeing tickets.What’s the one report i can pull and fully trust that it shows me everything?Please note that i want the report to show tickets/conversations that started by the customer and not by the support agent. Thanks so much for your help!!!

I’m having an issue with the workflow in our ticket queue when closing a ticket. Normally when a ticket is closed the next ticket in the queue is automatically selected. For the last couple of days this has not been happening. For the most part it is reverting to the most recent ticket received in the queue, but sometimes it jumps to a random ticket somewehere else in the queue. I seem to be the only member of our team experiencing this so I think I have inadvertantly changed a setting somewhere but cannot find anything about this in the Settings or the Help section.

Hello guys, please i need help I would like to integrate some workflows where if an agent identifies a new customer and inputs their contact details as a lead, an automated email is sent to the customer and then 3days later, a follow-up mail is sent as well. I have checked the internal workflow, but i cant find something of such.I also want to create workflows on escalated tickets from intercom and its sent to slack channel directly for bug reports, Automating first response time and resolution time.