Integrate Intercom with Mode

About Intercom

Intercom is a powerful set of tools for better managing your company’s customer support system. It includes a help center with a feedback system, which you can use to focus future articles on the growing needs of your customers, and it also provides a robust conversation system that allows you to assign support teams to customers based on specific criteria (about the customer or discussion topic), rather than just based on availability. Intercom is designed to create a more effective customer support network by specifically tracking and targeting your customers’ needs.

About Mode

As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.

Popular Use Cases

Bring all your Intercom data to Amazon Redshift

Load your Intercom data to Google BigQuery

ETL all your Intercom data to Snowflake

Move your Intercom data to MySQL

Bring all your Mode data to Amazon Redshift

Load your Mode data to Google BigQuery

ETL all your Mode data to Snowflake

Move your Mode data to MySQL

Integrate Intercom With Mode Today

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Intercom's End Points

Intercom Conversations

Track the content of conversations and who is involved in them. This can be used to generate data about which topics customers are most concerned with so that you can further focus your support efforts accordingly.

Intercom Tags

Sort specific groups of users and companies that you are communicating with by creating an easily searchable tag that permeates all of your intercom databases, and you can use that tag to integrate other data about those groups throughout intercom.

Intercom Users

Collect valuable customer data for your CRM, including basic contact info such as name, email address, and phone number but also more specific data, such as when they signed up, last signed in, and the tags associated with them.

Intercom Companies

Track the progress of your business relationship with companies (including a list of their users). Use that data to monitor how well your support network is meeting a company’s needs and how much of your overall revenue comes from each of the companies that are interacting with your business via intercom.

Intercom Segments

Automatically categorize users based on set criteria. Then Intercom can assign support teams based on that criteria, which allows you to more easily match customers with the support team members that can best assist them.

Mode's End Points

Mode White-Label Embeds and Visualizations

Mode's White-Label Embeds allow you to integrate customized, interactive visualizations, and analytics into your applications — so your customers can access powerful reporting that seamlessly blends with your apps. White-Label Embeds also secure your data by ensuring that specific customers see appropriate information only. Lastly, Mode includes pre-built charts and the ability customize your visualizations in JavaScript, HTML, and CCS.

Mode SQL Editor

Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.

Mode Helix Data Engine

The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.

Mode Dashboard Features

Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.

Mode Native Python and R Notebooks

Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.

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