Answered

We would like to end the product tour with a step pointing to the chatbot. Is there a way to do that?

Hello, I am not sure if I’m missing something but I encountered a bizzare behaviour using Intercom classes when trying to login an Identified user. Preface: I’m using Qt for Android and integrating Intercom purely on the Android side. In my login function, I get passed user attributes from downstream. These include base attributes as well as additional custom attributes. In the end I end up with something like.UserAttributes userAttributes = builder.build();Log.i(TAG, "Intercom login userattributes: " + userAttributes.toString()); Which prints out: I MyIntercom: Intercom login userattributes: UserAttributes{attributes={name=Last, First, email=email@provider.com, userId=001abc}, customAttributes={attr1=value1}, companies=[]} Then I tried to create a Registration class to perform login as:Registration registration = Registration.create().withUserAttributes(userAttributes); But this registration class does not have email nor userId populated? I already called the withEmail() and withUserI

I’d like to be able to assign a certain collection of Snippets to only be offered for specific audiences/those with specific user tags, much like we are able to set view rules for Help Center articles.  Is this possible for Snippets, or in the works?

I’m also interested in fetching other report metrics (Median response time, New Conversations) from my account to my app and I’m confused about the API Reporting Docs. I’m attempting to use the Node SDK. I’m not sure if I’m structuring the query correctly or using the proper conversations methods, but I’m getting an undefined in my console. The env variables are properly being read, I’ve tested them in my console. In the code below, I’m trying to get conversation rating from the past 7 days. import { Client, Operators } from "intercom-client";import * as dotenv from "dotenv";dotenv.config();const client = new Client({tokenAuth: { token: `${process.env.ACCESS_TOKEN}` },});client.useRequestOpts({baseURL: ‘https://api.eu.intercom.ioconversations’,});// Get today's dateconst today = new Date();// Calculate the date 7 days agoconst sevenDaysAgo = new Date(today.getTime() - 7 * 24 * 60 * 60 * 1000);// Convert the date to a Unix timestamp (in seconds)const sevenDaysAgoTimestamp = Math.floor(s

When I’m creating a numbered or bullet list, I sometimes need to add a callout in-line. I have tried Shift + Enter, but the callout button is disabled.I have also pressed enter to “exit” the list. I can insert a callout here, but it treats the list as a new one and starts over at 1. instead of continuing the previous numbers.How can I add a callout to a list and still continue the list?

Hi All, I want to create a survey that can be sent out through an email campaign, or through the chat function and for that data to be linked back to the account details. When using a sharable link, the survey data is anonymous, and with the context of my survey it makes the data we receive pointless.  Any help would be great. 

I tried to import external content in the Fin AI Agent--Overview interface, but it has not been completed since yesterday, and the prompt "Importing content, please wait..."The URL provided is the top-level domain The URL is public 

Hello, please could someone point me towards the exact provisions in your contract/service agreement which ensures UK personal data can be transferred outside of the UK in accordance with the UK GDPR. I understand that data centre can be changed from US to EU with some manual efforts.Many thanks 

When closing a ticket, there is a new box that says ‘leave ticket in’. What does this mean?  

I have a custom action that calls my api then stores that response in a custom object. It takes an id, and returns a json with a bunch of values I want to display as buttons. When I do this, I am getting more buttons than objects returned by the api, which I would guess come from previously created custom object instances. How can I make it so that the only buttons created are the ones from the associated custom action? I also have access to an id field that I could filter by, although I haven’t found a way to do so yet.

HelloWe are currently working on making our website accessible and defining it according to WCAG standards, we are aiming for the AA standard.We use Intercom on our website and only the Fin chatbot function. We have the following problem there.The screen readers read out ‘Open Intercom message service’ or ‘Close Intercom message service’ in the launcher, i.e. the attribute is stored. The responsible certification organisation has now informed us that this is not self-explanatory enough. Is there a way to adapt this text to our needs? We would like to store something like ‘Open chatbot’ / ‘Close chatbot’ so that it is really clear what is behind the switch. Any help is greatly appreciated!Thank you!S. 

Hi all,We have started using events to trigger transactional emails and it’s great that we can use the metadata to add content to the email.We want to add a list of things that are pending from the user. The list could be as small as one thing or as big as the user added to their tasks. How can we achieve this ? Ideally iterating over the list and just adding the text that was added to the event metadata. And yes, we’re aware that there’s a limit of 20 metadata parameters and that strings can be a maximum of 255 characters long.Thanks,Aldo 

We are open 8:00 am to 8:00 pm estWe usually get a morning queue since not every agent starts at the same time.Any tips on how I can improve our daily first chat response time for clients that register during business hours?

Hi, Carsten here. I’m trying to replicate the “median response time” under the responsiveness reporting page in the Intercom UI, but I struggle a bit to make it accurate, where sometimes there is 10+ minutes discrepancy. So I would hear if someone in this community forum can help a bit? What I can understand from reading other posts in this forum with a similar issue is the statistics_median_time_to_reply metric should be the only one I need to replicate the same number I see in the Intercom reporting, so I’m not sure why it seems difficult to get to match. The other posts doesn’t seem to post the solution to their issues either though. The calculations I’m doing at moment is:Get the newest version of a conversation id (qualify     row_number() over (partition by id order by updated_at desc) = 1) Then convert created_at to date and calculate the median on the median_time_to_reply.  date_trunc(day, created_at)::date as day, median(statistics_median_time_to_reply) as median_response_time

I’m trying to add tags to users via APi but is not working, Are there any diferences between contacts and users?I tryed using both and was not sucessful.I’m doing this http request but nothing is happening to the user tag  

Hi all,Wondering is anyone else has the issue where newsletter signups from Shopify come through with the field “Shopify verified email= true” despite not having actioned the double opt in email managed by Shopify.I’m currently being bounced between both support teams. 

suggested articles - can i pin certain articles based on the page i'm no in my platform? Also, can i pin videos too?

I have a survey running in our mobile app, with a fallback to email if users do not respond to the survey. At the moment users that submit the survey via email are unidentified. Is there a way to pass a long user info in the survey url to solve this?

I have full permissions for the workspace. I am trying to change the help center settings but the ‘Save Changes’ button on the top right stays disabled.

I think the webhook body has changed when a user sends a message,For the first message a user sends, I see the below. The body used to have the user’s message, but now it’s null. Also it’s a new part_type `language_detection_details`Anyone else notice this? "conversation_parts": { "type": "conversation_part.list", "conversation_parts": [ { "type": "conversation_part", "id": "2322", "part_type": "language_detection_details", "body": null, "created_at": 1718102859, "updated_at": 1718102859, "notified_at": 1718102859, "assigned_to": null, "author": { "id": "7189586", "type": "bot", "name": "Fin AI", "email": "operator+wed4314z@intercom.io" }, "attachments": [], "external_id": null, "redacted": false } ], "total_count": 1 } } }

Hello!Our team uses multiple teams to organize our workload based on tasks and communication channels. Adding language-based separation would create an excessive number of additional teams, making it difficult to manage shifts efficiently.We've found that:We cannot add "skills" to agents to designate the languages they should handle. Workflows do not support the "do not assign to" option.Is there an alternative way to prevent agents from being assigned conversations in languages they do not speak, other than creating separate teams?

We have noticed in certain circumstances it would be good if the customer reply didn’t re-open a conversation or ticket such as when a customer thanks us for our help. Its nice to hear that the customer is happy but we don’t want the conversation to reopen. I know I can set it so conversations don’t reopen at all, but this then creates a new conversation which is worse that one reopening. Has anyone got any ideas on how best to resolve this?

how can i know who is on our site and where they are from ? thanks

Hii, I’m Darshan Hiranandani, Does anyone know if there's any possibility of creating a CSAT for bots? Just like we want to measure customer satisfaction in conversations with humans, we'd like to gauge the satisfaction of our customers with our bots. In addition to having metrics that, more or less, give us an overview, we really would like users to rate the bot.

Hello everyone!Does anyone know if there's any possibility of creating a CSAT for bots? Just like we want to measure customer satisfaction in conversations with humans, we'd like to gauge the satisfaction of our customers with our bots. In addition to having metrics that, more or less, give us an overview, we really would like users to rate the bot.Thank you!