Analyze your Shopify data in PopSQL
Getting your data from Shopify 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 Shopify 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 Shopify data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Shopify in minutes
Shopify is e-commerce software that simplifies online sales and collects important customer data. With Shopify, merchants can not only create a digital storefront, but start to understand the impact of marketing campaigns on conversions…and their bottom line. But merchants that are looking for deeper insights like RFM reporting or CLV analysis may soon become frustrated by the limitations of Shopify’s built-in reporting. Thankfully, Panoply’s code-free cloud data platform makes it easy to sync and store your Shopify data and to combine it with other critical e-commerce data sources like Google Ads, Facebook Ads, and Stripe, unlocking game-changing advanced analytics that just aren’t possible with Shopify alone.
Learn more:
Documentation
Shopify Data Warehousing
Shopify Business Intelligence
Other connectors with Shopify
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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