Sprinkle Docs
  • What is Sprinkle?
  • Quick Start
  • Analysing your data
    • 🔭Analytics Overview
    • 💠Data Models
      • *️Variables
      • 🌲Hierarchies
      • 🤿Column Mask
    • 🎉Switch to New Reports & Dashboards
    • 🆕Reports
      • Overview
      • Build Using Tables
        • Create a new Report
        • Layout and options
        • Build and Format - Overview
        • Apply Row Limits
        • Identify Date Columns
        • Filter your data
        • Visualizations
          • Table
          • Pivot
          • Line Chart
          • Bar Chart
          • Column Chart
          • Area Chart
          • Combo Chart
          • Scatter & Bubble Plot
          • Pie Chart
          • Funnel Chart
          • Stat Card
          • Point Map
          • Heat Map
          • Radial gauge chart
        • Advanced Features
          • Custom Analysis
          • Variables
          • Table & Quick Calculations
          • Drill - Hierarchical & Date
          • Break Out
          • RLS in Table reports
          • Scheduled Exports
          • Embedding Table Reports
      • Build Using Models
        • Create a new report
        • Layout and options
        • Visualizations
        • Advanced Features
      • Build SQL Reports
        • Create a new Report
        • Layout and options
        • Writing a SQL Code on Editor
        • Visualizations
        • Variables in SQL Reports
    • 🆕Dashboards
      • 🌀Filters
      • 👆Click Behaviour
      • ⏰Data Alerts
      • 🗓️Date Drill
      • 📤Scheduled Exports
      • 🔗Embed link
      • 🖥️Dashboard layout
      • 📱Mobile Dashboards
  • Transforming your data
    • 🔰SQL Transform
    • 📓Python Notebooks
  • Integrating your data
    • ☁️Destination Warehouses
      • AWS Athena
        • Manage storage of Flow tables
      • AWS Redshift
      • Azure Synapse
      • Databricks
      • Google BigQuery
      • MySQL
      • Postgres
      • Snowflake
      • SQL Server
      • K8 Setup
        • AWS EKS
        • Google GKE
        • Azure AKS
    • ⚙️Warehouse & Storage Setup
  • Ingesting your data
    • ☄️Data Imports
      • Databases
        • Azure Cosmos DB
        • Azure Table Storage
        • Google BigQuery
        • Mongo DB
        • MySQL DB
        • Oracle DB
        • Postgres DB
        • SQL Server DB
        • Features
          • Ingestion Modes
          • Add Multiple Datasets
          • CDC Setup
            • CDC setup in Mysql
            • CDC setup in Postgres
            • CDC setup in Mongo
            • CDC setup in SQL Server
          • Destination Create Table Clause
          • SSH Tunnel Setup
      • Files
        • AWS S3
        • AWS S3 External
        • Azure Blob
        • FTP
        • Google Cloud Storage
        • Google Sheet
        • SFTP
      • Applications
        • Apple Search Ads
        • Appsflyer
        • Branch
        • Clevertap
        • Facebook Ads
        • Freshdesk
        • Freshsales
        • Google Ads
        • Google Ads V2
        • Google Analytics
        • Google Analytics 4
        • Google Analytics MCF
        • Google Search Console
        • Hubspot
        • Impact Ads
        • Intercom
        • Klaviyo
        • Leadsquared
        • LinkedIn Ads
        • Magento
        • Mailchimp
        • Marketo
        • Mixpanel
        • MoEngage
        • Rocketlane
        • Salesforce
        • SAP S4
        • Shopify
        • Snapchat Marketing
        • TikTok Ads
        • WooCommerce
        • Zendesk Chat
        • Zendesk Support
        • Zoho Analytics
        • Zoho Books
        • Zoho CRM
        • Zoho Desk
        • Zoho Invoice
        • Zoho Subscription
      • Events
        • Apache Kafka
        • AWS Kinesis
        • Azure EventHub
    • 📤File Uploads
    • 🤖API Pulls
    • 🕸️Webhooks
  • Collaborating on data
    • 📤Sharing
    • 💬Comments
    • ⚡Activity
    • 🏷️Labels
  • Managing Schedules and Data Refreshes
    • ⏱️Schedules
    • 🔔Notifications
  • User Management
    • 🔑Access Management
    • 🧑‍🤝‍🧑Groups
    • 📂Folders
    • 🔄Syncing users, groups and RLS
    • 📧Azure AD Integration
  • Data Security & Privacy
    • 🔐Security at Sprinkle
    • 📄GDPR
    • 📄Privacy Policy
  • Release Notes
    • 📢Release Notes
      • 🗒️Release Notes - v12.1 (New)
      • 🗒️Release Notes - v12.0
      • 🗒️Release Notes - v11.0
      • 🗒️Release Notes - v10.8
      • 🗒️Release Notes - v10.7
      • 🗒️Release Notes - v10.6
      • 🗒️Release Notes - v10.5
      • 🗒️Release Notes - v10.4
      • 🗒️Release Notes - v10.3
      • 🗒️Release Notes - v10.2
      • 🗒️Release Notes - v10.1
      • 🗒️Release Notes - v10.0
      • 🗒️Release Notes - v9.31
      • 🗒️Release Notes - v9.30
      • 🗒️Release Notes - v9.29
      • 🗒️Release Notes - v9.28
      • 🗒️Release Notes - v9.27
      • 🗒️Release Notes - v9.25
      • 🗒️Release Notes - v9.24
      • 🗒️Release Notes - v9.23
      • 🗒️Release Notes - v9.22
      • 🗒️Release Notes - v9.21
      • 🗒️Release Notes - v9.20
      • 🗒️Release Notes - v9.19
      • 🗒️Release Notes - v9.18
      • 🗒️Release Notes - v9.17
      • 🗒️Release Notes - v9.16
      • 🗒️Release Notes - v9.14
      • 🗒️Release Notes - v9.13
      • 🗒️Release Notes - v9.12
      • 🗒️Release Notes -v9.8
      • 🗒️Release Notes - v9.7
      • 🗒️Release Notes - v9.6
      • 🗒️Release Notes - v9.5
      • 🗒️Release Notes - v9.4
      • 🗒️Release Notes - v9.3
      • 🗒️Release Notes - v9.2
      • 🗒️Release Notes - v9.1
      • 🗒️Release Notes - v9.0 (Major)
      • 🗒️Release Notes - v7.23
      • 🗒️Release Notes - v7.21
      • 🗒️Release Notes - v7.20
      • 🗒️Release Notes - v7.15
      • 🗒️Release Notes - v7.14
      • 🗒️Release Notes - v7.13
Powered by GitBook
On this page
  • Datasource Concepts
  • Step by Step Guide
  • STEP-1: Configure Connection
  • STEP-2: Configure Datasource
  • STEP-3: Create Dataset
  • STEP-4: Run and schedule Ingestion
  • Dataset Fields
  1. Ingesting your data
  2. Data Imports
  3. Applications

Intercom

Guide to integrate your Intercom with Sprinkle

PreviousImpact AdsNextKlaviyo

Last updated 1 year ago

Datasource Concepts

Before setting up the datasource, learn about datasource concepts

Step by Step Guide

STEP-1: Configure Connection

To learn about Connection, refer

  • Log into Sprinkle application

  • Navigate to Datasources -> Connections Tab -> New Connection ->

  • Select Intercom

  • Provide all the mandatory details

    • Name: Name to identify this connection

  • Connect to Intercom

  • Test Connection

  • Create

STEP-2: Configure Datasource

  • Navigate to Datasources -> Datasources Tab -> Add ->

  • Select Intercom

  • Provide the name -> Create

  • Connection Tab:

    • From the drop-down, select the name of connection created in STEP-2

    • Update

STEP-3: Create Dataset

  • Report Type (Required)

    • Contacts

      • Sub Reports: Select from drop-down

    • Companies

    • Data_Attributes

      • Sub Reports: Select from drop-down

    • Tags

    • Segments

    • Articles

    • Conversations

    • Teams

  • Flatten Level(Required) : Select One Level or Multi Level. In one level, flattening will not be applied on complex type. They will be stored as string. In multi level, flattening will be applied in complex level till they become simple type.

  • Destination Schema (Required) : Data warehouse schema where the table will be ingested into

  • Destination Table name (Required) : It is the table name to be created on the warehouse. If not given, sprinkle will create like ds_<datasourcename>_<tablename>

  • Create

STEP-4: Run and schedule Ingestion

In the Ingestion Jobs tab:

  • Trigger the Job, using Run button

  • To schedule, enable Auto-Run. Change the frequency if needed

Dataset Fields

User can pick following fields in datasets

Admins
  • type

  • email

  • id

  • name

  • away_mode_enabled

  • away_mode_reassign

  • has_inbox_seat

  • team_ids

Articles
  • id

  • type

  • workspace_id

  • parent_id

  • parent_type

  • title

  • description

  • body

  • author_id

  • state

  • created_at

  • updated_at

  • url

Companies
  • type

  • data

  • total_count

  • pages

Contacts

all_contacts

  • type

  • id

  • workspace_id

  • external_id

  • role

  • email

  • name

  • social_profiles_type

  • social_profiles_data

  • has_hard_bounced

  • marked_email_as_spam

  • unsubscribed_from_emails

  • created_at

  • updated_at

  • location_type

  • custom_attributes

  • tags_type

  • tags_data

  • tags_url

  • tags_total_count

  • tags_has_more

  • notes_type

  • notes_data

  • notes_url

  • notes_total_count

  • notes_has_more

  • companies_type

  • companies_data

  • companies_url

  • companies_total_count

  • companies_has_more

  • opted_out_subscription_types_type

  • opted_out_subscription_types_data

  • opted_out_subscription_types_url

  • opted_out_subscription_types_total_count

  • opted_out_subscription_types_has_more

attached_companies

  • type

  • companies

  • total_count

  • pages

attached_segements

  • type

  • data

attached_tags

  • type

  • tags

notes

  • type

  • data

  • total_count

  • pages

Conversations
  • type

  • id

  • created_at

  • updated_at

  • source

  • contacts

  • teammates

  • title

  • admin_assignee_id

  • team_assignee_id

  • custom_attributes

  • open

  • state

  • read

  • waiting_since

  • snoozed_until

  • tags

  • first_contact_reply

  • priority

  • sla_applied

  • conversation_rating

  • statistics

  • conversation_parts

Data_Attributes

company_attributes

  • type

  • name

  • full_name

  • label

  • description

  • data_type

  • api_writable

  • ui_writable

  • custom

  • archived

  • model

contact_attributes

  • type

  • name

  • full_name

  • label

  • description

  • data_type

  • api_writable

  • ui_writable

  • custom

  • archived

  • model

Segments
  • type

  • id

  • name

  • created_at

  • updated_at

  • person_type

Tags
  • type

  • data

Teams
  • type

  • teams

  • pages

To learn about datasource, refer

Datasets Tab: To learn about Dataset, refer . Add Dataset for each report/dataset that you want to integrate, providing following details

Destination Create Table Clause: Provide additional clauses to warehouse-create table queries such as clustering, partitioning, and more, useful for optimizing DML statements. on how to use this field.

☄️
here
here
here
here
Learn more