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What is Shopify?
Shopify is a leading e-commerce platform that enables businesses to create and manage online stores. It provides comprehensive tools for inventory management, payment processing, and order fulfillment, making it a popular choice for businesses of all sizes. Shopify stores generate valuable data about sales, customers, products, and transactions.
Why would you want to combine Shopify data with data from emails?
Combining Shopify and email data can provide powerful insights and enable automated workflows that enhance customer experience and business operations.
- Create more personalized email marketing campaigns based on purchase history
- Track the effectiveness of email campaigns by connecting them to actual sales data
- Automate customer service responses based on order status and previous interactions
- Build comprehensive customer profiles that include both purchase and communication history
- Identify patterns between email engagement and purchasing behavior
Explore and learn more about Parabola
Use Parabola to bring your disparate data and documents together, then tackle your most complex processes with ease
Data transformation
Clean, standardize, and manipulate your data and make it actionable
Data storage
Architect new tables and store millions of rows of data
Data visualization
Build customizable visualizations to uncover new insights
Want to test out this process yourself?
Open the template, sign up, and get started
Pull from Shopify
Pull from inbound email
How to use Shopify with Parabola
Parabola's Shopify integration enables seamless e-commerce data management and transformation.
- Import Shopify data automatically with scheduled refreshes
- Transform and clean ecommerce data with built-in steps
- Connect Shopify data with other business systems effortlessly
Retrieving data from Shopify
Connecting your Shopify store to Parabola is straightforward using the Pull from Shopify step. This integration allows you to access various data types from your store, including orders, products, customers, and inventory information.
Key features
- Direct API connection to your Shopify store
- Multiple data type selection options
- Customizable date ranges for data retrieval
- Automatic pagination handling
- Real-time data refresh capabilities
How to use
- Add the Pull from Shopify step to your Flow
- Connect your Shopify account to Parabola
- Select the desired data type (orders, products, etc.)
- Configure any additional parameters or filters
- Run the step to retrieve your data
How to use email data with Parabola
Parabola makes it simple to work with email data from various sources, allowing you to analyze and automate email-related processes.
- Flexible email data import options
- Powerful data transformation capabilities
- Automated email data processing
Retrieving data from email
Parabola's email integration allows you to pull data directly from your email accounts, making it easy to extract and process information from your messages and attachments.
Key features
- Process any email sent to your inbox
- Attachment processing (CSV, Excel, PDF)
- Standardize attachments across suppliers, vendors, and carriers
- Extract email sender and recipient information, file name, and email metadata
- Filter capabilities
- Automated scheduling
How to use
- Add the Pull from inbound email step to your Flow
- Within email settings, copy your Flow's email address
- Specify the attachment type (if applicable)
- Forward or send an email to the Flow's email address
- Click "Refresh data" to pull in your email
- Adjust the fields and validate your final output
Combining Shopify and email data
Once you have both data sources imported into your Parabola Flow, you can combine them using the Combine Tables step. This powerful feature allows you to merge data based on common fields, creating a comprehensive dataset for analysis.
Key features
- Multiple joining methods
- Automatic column matching
- Custom key field selection
- Duplicate handling options
- Preview of combined data
How to use
- After you add your data sources to the Canvas, add the Combine tables step to your Flow
- Drag the arrow from your data sources to the Combine tables step on the Canvas
- Choose the columns to match between the tables
- Configure the join type
- Preview and verify the combined results
Practical use cases and examples
Customer engagement analysis
Combine purchase history from Shopify with email engagement metrics to understand how email interactions correlate with buying behavior. This insight can help optimize email marketing strategies and improve conversion rates.
Automated customer follow-up
Create automated workflows that trigger specific email communications based on purchase behavior, such as product recommendations or review requests, using combined Shopify and email data.
Customer segmentation
Use the combined data to create detailed customer segments based on both purchasing patterns and email engagement levels, enabling more targeted and effective marketing campaigns.
By combining Shopify and email data in Parabola, you can create powerful automated workflows that enhance your business operations and customer relationships. The drag-and-drop interface makes it easy to build these integrations without coding, while the visual Flow builder helps you understand and optimize your data processes.
