Analyze your Intercom data in PopSQL
Getting your data from Intercom to PopSQL can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Intercom and PopSQL with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
How it works
Automatically sync and store the data you want with table-level control.
See the Intercom data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Intercom in minutes
Intercom is a customer messaging platform for sending both automated and live chat messages directly to the customer. Panoply’s Intercom integration makes it possible to load your data directly into your own data warehouse, without an ETL process in place or costly data infrastructure.
Once stored in the Panoply Smart Data Warehouse, your Intercom data can be extracted, explored, and analyzed with all of your other data sources. Analysts can generate reports from within Panoply, and run queries and analyses immediately. Panoply makes it easy to learn more about your customer communication habits, purchases, and product usage behavior, all from within one end to end data management platform.
Learn more:
Intercom Data Warehousing
Intercom Business Intelligence
Other connectors with Intercom
Integrate with PopSQL in minutes
PopSQL, the “Modern, collaborative SQL editor for your team” is a SQL editing platform that provides shareable URLs to your queries and results. PopSQL automatically displays your analytics in chart and graph formats that best fit your data. User-friendly features like query variables, search and version history make PopSQL easy for the non-programmers on your team. Panoply powers PopSQL combining and automating all three key aspects of the data stack: data ingestion, data storage and management, and query performance optimization so your PopSQL queries and graphs will be lighting fast and always up to date.
Other connectors with PopSQL
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