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Im trying to install the Messenger app in Salesforce Community. I found this old article but it seems incomplete.  Im wondering if I could get help with this integration.  I Edit the Head Markup in the Salesforce Community with the pre-filled script.Then in a lightning component I tried to Instantiate the Intercom instance:import { LightningElement, api } from 'lwc';export default class IntercomApp extends LightningElement { connectedCallback() { try { window.intercomSettings = { api_base: 'https://api-iam.intercom.io', app_id: 'my-app-id-here' }; } catch (error) { console.error(error);

Hello, We are currently using Intercom in our Expo React Native app for customer service messaging. We have previously been using Expo SDK 53 and React Native 0.79.5 with the react native intercom package 9.0.3 and all has been working well.However upgrading Intercom to 9.1.0 or higher is causing some very weird issues for us.Our app streams HLS video where the HLS playlist contains 10s chunks of video which is presented to the user as one long continuous clip. When scrubbing forward in the clip further than what’s been buffered the stream will obviously need to buffer. Our player is using the expo-video package, but we’ve tried with other packages as well such as react-native-video. Now to the issue; Intercom 9.1.0 and higher causes the app to crash when scrubbing forward quickly in the video stream, this problem is only present there and when downgrading Intercom to 9.0.3 it’s working fine again and I can scrub and pause/forward/rewind

When I pull down an example line in the body via API I get something like this:\n<p class=\"no-margin\"></p>\n<p class=\"no-margin\"><b>Can I add in other activities?</b></p>\n<p class=\"no-margin\">Not at this time. If this is a feature you would like, please send us a message.</p>When I push that back up, it adds a new line to below the bolded text. This is also happening above lists as well, but only when it’s below a <p> class.The output looks like this:<b>Can I add in other activities?<b/>Not at this time. If this is a feature you would like, please send us a message.Where the intended output should be<b>Can I add in other activities?</b>Not at this time. If this is a feature you would like, please send us a message.Is t

We are getting a great number of crashes on the Android version 14.1.0.This seems to happen to the conversation_list RecyclerView.You can find the stack trace bellow:java.lang.IllegalStateException: The specified child already has a parent. You must call removeView() on the child's parent first. at android.view.ViewGroup.addViewInner(ViewGroup.java:4471) at android.view.ViewGroup.addView(ViewGroup.java:4312) at android.view.ViewGroup.addView(ViewGroup.java:4252) at android.view.ViewGroup.addView(ViewGroup.java:4225) at androidx.compose.ui.viewinterop.AndroidViewHolder.setView$ui_release(AndroidViewHolder.android.kt:97) at androidx.compose.ui.viewinterop.ViewFactoryHolder.<init>(AndroidView.android.kt:332) at androidx.compose.ui.viewinterop.ViewFactoryHolder.<init>(AndroidView.android.kt:312) at androidx.compose.ui.viewinterop.AndroidView_androidKt$cre

Hey folks! I’m trying to report what share (or at least total counts) of Solved conversations were closed after 1 reply, 2 replies, and ≥3 replies for a given date range. What’s the exact Intercom chart setup to do this?What I’ve tried:Replies to close a conversation with Median/Average/Sum. Workable but without counts option, it is difficult to reach the actual percentage of solved conversations based on the number of replies used. Closed on first contact rate. I believe this measures “one teammate replied,” not “closed in 1 reply.” so, not really something to rely on.Could someone share any finding, insights or experience calculating this? Or suggest the best workaround.Thanks!

We’re creating the intercom user account from the backend when a new user signs up in our systems. We set up the account with the email ID, name, and mobile number, but not the user ID. [We wanted to keep the email as the single source of truth.]When the user logs in to our mobile app (iOS and Android), we use the same email ID to log in to the intercom using the identified user login option (without a user ID).However, instead of identifying the existing account and logging in, it creates a new account again. Earlier, we faced similar issues with duplicate accounts because a few intercom accounts from the mobile app had logged in with the user ID and email. That created new accounts in the intercom. We resolved this by permanently deleting those accounts and now only using the email ID to log in. But even with this change, the mobile SDK is unable to identify the user and instead creates a new duplicate account again. Could you help me under

Bug Report: Android crash due to setNeedsStatusBarAppearanceUpdate in @intercom/intercom-react-nativePackage: @intercom/intercom-react-nativeVersion: 9.2.0React Native: (e.g. 0.81.0)Platform: AndroidReact Native CLIDescription  The Android build crashes on startup due to a null reference to the property setNeedsStatusBarAppearanceUpdate in IntercomModule. Additional Notes Crash reproducible in RN 0.81.0  Occurs on both emulators and physical Android devices. Works fine on iOS. Clea

The 19.3.0 release introduced a bug where opening articles could sometimes crash, reported here. That was fixed in 19.3.1, but at the same time or possibly earlier, it seems another issue was introduced and the articles now aren’t loading at all.When calling Intercom.presentContent(.article(id: “123456”)), while the app no longer crashes, I’m instead stuck on a blank screen that can’t be dismissed.The close button on that page also does not do anything. I believe this bug was introduced with version 19.2.0. It has already been reported multiple times, but seemingly with little response, here and

We are seeing quite a few crashes for the latest Intercom SDK. Older SDKs do not crash.  OS Version: iOS 26.0.1 (23A355)Report Version: 104Exception Type: EXC_BREAKPOINT (SIGTRAP)Exception Codes: 0 at 0x00000001077393e8Crashed Thread: 0Application Specific Information:Exception 6, Code 1, Subcode 4419982312Thread 0 Crashed:0   Intercom                        0x1077393e8         ListBlockView.configure1   Intercom                        0x107738d40         ListBlockView.init2   Intercom                        0x10773f1c0         closure in BlockViewFactory.getViewsForBlocks3   Intercom                        0x10773efc4         BlockViewFactory.getViewsForBlocks4   Intercom                        0x1077432cc         BlockPartView.addBlocks5   Intercom                        0x107744a3c         BlockPartView.configureLayout6   Intercom                        0x10774ec1c

Hello, We need to calculate total duration for which conversations are snoozed for analytical purposes. I went through the community forum and found this In the above topic, it’s mentioned that their isn't a direct method provided for generating a report specifically for snooze time in conversations.Although we have found out that we can derive snooze durations and it would be helpful if we can get a review from the Intercom community over this method, or if we can get some other attributes or methods (provided by the Intercom API) through which we can calculate snooze durations, this would be extremely useful for us.We are aiming to derive the snooze duration based on the following:Calculate snooze time by tracking conversation state transitions through conversation parts, which provide the most granular state information for each conversation.

Hi Team,I’m Prakash Hinduja, a consultant and advisor based in Geneva, Switzerland (Swiss) , specializing in crypto, renewable energy, and gold investment. I’m currently looking to integrate the Intercom Messenger on my website to improve customer engagement.I’d love to hear from anyone who has experience with this. RegardsPrakash Hinduja Geneva, Switzerland  

Hi!I’m new to Intercom and Workflows. I’m a French speaker, so apologies if some of the wording isn’t perfect.We use Intercom to communicate with professionals using our AI tool for healthcare.To improve efficiency, we created a Workflow that automatically generates tickets depending on the issue type.I looked into the “Auto-close incomplete Workflow conversations” option, but it doesn’t work in our case, since most of our Workflows end with a ticket.I also considered using the “When the customer doesn’t respond” trigger, but that doesn’t help either—because it’s the bot (not a human) interacting with the user.And most importantly: I don’t want conversations to close automatically when the Workflow ends, because our goal is to continue helping the client if they still need support.Fin suggested I try using tags inside the Workflow to trigger auto-close only in specific cases.So I w

Hey community,I’m exploring ways to improve SEO performance by analyzing how customers engage with content and interact across different channels. Understanding their questions, search patterns, and preferences can really help refine keyword targeting and content structure.For anyone working in digital marketing services, these insights often become a game-changer — they make it easier to design content that matches user intent, optimize landing pages, and improve organic visibility.I’d love to hear how others integrate customer analytics or feedback into their SEO planning. What strategies have you found effective for aligning content with real user needs while boosting rankings?

Hello everyone.I'm experiencing an MQRC 2035 (Authorization) error when integrating Intercom with our messaging queue system. The setup involves deploying an application with MQ Client Connection Properties, specifying all necessary details.While trying to resolve the issue, I reached out to RabbitMQ support to ensure our configurations were correct. Despite Intercom running as the root user and the queue manager using default mqm users, the connection still fails. The error message indicates a failure to connect to the queue manager on the specified hostname and port.Has anyone encountered this issue while integrating Intercom with a messaging queue? What steps did you take to resolve it?Any insights or suggestions would be greatly appreciated.

Looking for an experienced consultant to help build and optimize Intercom chatbot solutions for customer support automation and lead generation. Need expertise in conversational AI design and Intercom platform integration.Requirements:Experience with Intercom's Resolution Bot and Custom Actions for automated customer interactions Knowledge of conversation flows, intent recognition, and fallback scenarios for complex customer queries Understanding of Intercom's Messenger integration, help desk workflows, and CRM data synchronization Ability to design multilingual chatbots with personalization and user segmentation Familiarity with Intercom's API for custom integrations and third-party tool connectionsRemote work preferred. Please share relevant Intercom chatbot implementation experience and approach to conversational AI optimization.

Hey, im currently creating an Chatbot Workflow. My maingoal is to split the current workflow in 2 parts. I want to do this to clean it up a bit.The Workflow asks the User if hes a Customer or a driver and this is where i want to split it. Id like to have one workflow for customers and one for Drivers.Any Ideas on how to implement this?You can see the current Workflow on the attached picture. 

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.

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 c

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 (

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!

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!

I know the default survey uses emojis with hover-over text labels, but it seems like our customers might not be understanding the difference between each rating (see attached image). It’s starting to impact our metrics a bit.I’d really like to keep using Intercom’s native CSAT tool for reporting and widgets, but I’m wondering: Is there any way to customize the default emoji options (e.g., swap them out or show the text labels instead)? Or do we know if there’s already a product request or feature idea out there for that? Also related question, is it possible to tweak how CSAT is calculated in our instance? For example, could we have “OK” responses count as positive? A lot of our users are parents or older family members, and based on some past examples, “OK” seems to represent a satisfied response rather than a neutral or negative one.

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.Co

Release Date: 28-10-2025 🐛 Bug Fixes Fixed a crash that could happen when opening articles from a conversation.

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$35.invoke$