)
Written by
Table of Contents
“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Traditional ETL tools like Fivetran, Stitch, and Airbyte support HubSpot to data warehouse pipelines, but they require technical setup, ongoing maintenance, and expensive data warehouse infrastructure.
You’ll learn about a spreadsheet-based alternative that eliminates ETL complexity while providing powerful transformation capabilities and direct Looker Studio connectivity.
Replace traditional ETL with spreadsheet-based transformations using Coefficient
CoefficientHubSpotoffers a unique alternative to traditional ETL tools by using Google Sheets as both the transformation layer and data source. You get no-code data pipelines that connectdirectly to Looker Studio without requiring data warehouses or complex ETL infrastructure.
This approach provides faster implementation, lower costs, and more accessible transformations using familiar spreadsheet formulas instead of SQL or Python scripts.
How to make it work
Step 1. Import HubSpot data without coding.
Connect to HubSpot through Coefficient’s import wizard and select the objects you need for your pipeline. Import deals, contacts, and companies with custom field selection. Apply up to 25 filters to focus your data imports and reduce processing overhead.
Step 2. Transform data using spreadsheet formulas.
Create custom calculated fields using familiar functions like =TRIM(A2) for data cleansing, =DATEDIF(B2,C2,”D”) for time calculations, and =VLOOKUP() for joining multiple HubSpot objects. Build aggregations with pivot tables and use SUMPRODUCT for complex revenue calculations directly in the spreadsheet.
Step 3. Set up real-time transformations.
Configure scheduled imports to refresh your HubSpot data hourly or daily. Use Coefficient’s Formula Auto Fill Down feature to automatically apply your transformation formulas to new rows as they’re imported. This creates real-time transformations without batch processing delays.
Step 4. Connect transformed data to Looker Studio.
Add your Google Sheets as a data source in Looker Studio. Since the transformations happen in the spreadsheet layer, your dashboards load faster and you can validate data quality visually before creating visualizations.
Simplify your data pipeline today
Start buildingThis spreadsheet-based approach eliminates data warehouse costs, reduces IT dependencies, and provides faster implementation than traditional ETL tools. You get powerful transformations with visual validation and direct Looker Studio connectivity.your simplified data pipeline with Coefficient.
