Your data, always accessible
- Your blended and transformed data is stored securely in Coupler.io's built-in storage.
- You maintain full control and can use your datasets anytime for reporting, analysis, or connecting to BI tools.
Blend. Transform. Analyze
Combine data from 400+ sources and turn it into structured data sets with visual tools, SQL, or AI. Everything is stored inside Coupler.io without external databases or separate tools.
Turn your data into analysis-ready reports
Coupler.io blends and transforms your data into clean reports, secure backups, and AI-ready data sets. You control how the data is organized for reporting and AI analytics.
Connect
400+ sources
Manage
Blend & Transform
Formula
Filter
Aggregate
Append
Join
Organize
Store & Visualize
Data Studio
Google Sheets
Claude
ChatGPT
BigQuery
Power BI
BigQuery
Redshift
Postgresql
Snowflake
Data Studio
Power BI
Tableau
Dashboard
Claude
GPT
Cursor AI
Perplexity
Slack
AI Agent
Blend data from multiple sources
Unify data with the same structure
Stack data sources vertically into one continuous table. Coupler.io automatically aligns identical columns so you can compare metrics across sources.
Common use cases:
- Compare Facebook, Google, and LinkedIn ad performance side-by-side.
- Merge expense reports from QuickBooks across different departments.
- Create year-to-date views from monthly Stripe payment data.
Enrich data with related information
Add context from related systems to your primary data set. Merge two or more data sources based on matching values like customer ID, order number, etc.
Common use cases:
- Match Shopify orders with Google Ads campaigns to see which products your ads sell.
- Connect HubSpot leads with Facebook Ads data to find your highest-value sources.
- Merge customer records from GoHighLevel with Stripe payments to analyze purchase behavior.
Roll up data into summary views
Group your data by one or more columns to transform granular records into clear overviews. Calculate totals, averages, counts, or other summary statistics.
Common use cases:
- Convert millions of GA4 events into structured weekly or monthly conversion overviews.
- Build a P&L summary from raw QuickBooks transactions, grouped by category and month.
- Track team performance by rolling up individual HubSpot deals into quarterly revenue totals by rep.
SQL for pivots, deduplication, rolling comparisons, and more
Use SQL when your data preparation needs more control than a visual transformation gives you.
Write one query to combine, reshape, rank, and compare your data sets, using DuckDB SQL syntax.
Write the SQL yourself
Go beyond a single Append, Join, or Aggregate. Use every join type, combine datasets with UNION and INTERSECT, calculate running totals and rankings, or pivot rows into columns – all in one query.
Common use cases:
- Join a table to itself, or on a complex condition that isn't just matching columns;
- Deduplicate records with DISTINCT or ROW_NUMBER() to keep the latest or top row per group;
- Reshape a long list of yearly values into one row per country with PIVOT.
Let Coupler AI prepare the data set
Describe the report or transformation you need. Coupler AI reads your source schemas, writes the SQL, and saves it as a reusable data set. The query stays visible, so you can review the logic before it runs, and edit anytime.
Common use cases:
- "Combine our ad platforms, standardize the campaign fields, and calculate CPA and ROAS" — one data set instead of four separate reports.
- "Which campaigns got worse over the last 7 days?" — a rolling comparison built with window functions.
- "Give me an accounts receivable aging report by customer" — invoices bucketed by how overdue they are.
Connect 400+ sources in minutes.
No code required.
Transform data to match your analysis needs
Shape your data exactly how you need it for analysis and reporting.
Manage columns, filter rows, and create custom calculations - all without writing code.
Column Management: Organize your dataset
Control which columns appear in your final report and how they're structured. Rename columns for clarity, reorder them for better readability, hide unnecessary fields, or create new calculated columns.
Common use cases:
- Rename column names like "utm_campaign" to "Campaign Name" for easier reporting
- Hide internal IDs or technical fields that aren't needed for analysis
- Apply data type formatting like currency, percentages, or date formats
Filter: Focus on what matters
Apply filters to include only the data you need. Choose a column and set criteria - just like filtering in a spreadsheet. Available operators adapt to each column's data type for precise control.
Common use cases:
- Show only Shopify orders above $500 for high-value transaction analysis
- Isolate Google Ads campaigns from specific date ranges for period comparisons
- Focus on Facebook Ads targeting particular countries or demographics
Custom Formulas: Calculate
new metrics
Build custom calculations to create new columns based on your existing data. Use over 70 built-in functions for numeric, text, date, and logical operations. No coding required.
Common use cases:
- Calculate profit margins from Stripe revenue and QuickBooks expenses
- Extract domains from email addresses in HubSpot contacts
- Calculate days between Shopify order dates and fulfillment dates
"We went from spending half our week preparing data to having report-ready insights in minutes. Coupler.io handles the blending and calculations we used to do manually in spreadsheets."
Get report-ready data faster with data set templates
Marketing
Get analysis-ready reports from your ad, SEO, and social media data instantly.
Finance
Turn messy accounting data into structured P&L, cash flow, and invoice reports.
Sales
Convert raw CRM data into clear pipeline and deal performance reports.
Ecommerce
Go from raw ecommerce data to organized sales and inventory insights in clicks.
Frequently asked questions
No. All transformations, such as data blending, filtering, and column management, are done through a visual interface. You set up everything with clicks and dropdowns. For custom calculations, you'll write formulas using Coupler.io's 70+ built-in functions, similar to how you'd create formulas in a spreadsheet.
Append stacks data vertically. Use it when your sources share the same structure, and you want to combine them into one table (e.g., ad performance from Facebook, Google, and LinkedIn).
Join merges data horizontally based on a matching column, like customer ID or order number. Use it to enrich one dataset with context from another (e.g., connecting Shopify orders with Google Ads campaign data).
Data set templates are pre-configured setups built by data analysts for common reporting scenarios in marketing, finance, sales, and ecommerce. Each template already includes the right source connections, transformations, and column selections. Instead of building a report from scratch, you start with a ready-made template and get analysis-ready data in minutes.
All blended and transformed data is stored securely in Coupler.io's built-in storage. You don't need external databases or spreadsheets. Your datasets remain accessible anytime for reporting, further analysis, or connecting to AI tools.
Once you configure sources, blending rules, and transformations in your data flow, Coupler.io runs it on a schedule automatically. Your reports stay up to date without manual intervention.
