BigQuery Connector.

Easily transfer all your BigQuery data to Google Sheets or Looker Studio and monitor your performance in one place. Automate and streamline your reporting processes to focus on what matters: your marketing insights!

Enjoy a 15-day free trial to explore everything the BigQuery Connector can do!

Transform Your Data into Actionable Insights

Maximize your marketing strategy with the BigQuery Connector

The BigQuery connector enhances data analysis by seamlessly syncing your database information into tools like Google Sheets, Looker Studio, and Power BI. Centralize your structured data, monitor trends, and uncover actionable insights to make data-driven decisions with confidence.

Pick your destination to import BigQuery Connector data

Key Benefits of the BigQuery Connector

Broad cross-platform compatibility

The Klaviyo Connector integrates seamlessly with tools like Google Sheets, Looker Studio, Power BI, and more. Effortlessly export your data to keep track of all your campaigns, all in one place.

Personalized insights tailored to your marketing goals

Create custom reports with the metrics and dimensions that matter most. Analyze your campaign performance and audience behavior to make data-driven decisions that optimize marketing strategies.

Save time with Real-Time data synchronization

No more manual updates! The Klaviyo Connector automates data synchronization, ensuring your reports are always up to date. Focus on improving marketing performance instead of pulling data.

Better visualization for enhanced decision-making

Transform your data into visually compelling dashboards using tools like Looker Studio and Power BI. Monitor key metrics such as open rates, click-through rates, and audience segmentation to maximize your ROI.

Automate & simplify reporting processes

With the Klaviyo Connector , schedule automatic data refreshes to ensure you always have the latest insights without any manual effort.

Create your account in less than 1 minute and enjoy 15 days completely free with access to all functionalities
* The Free Trial is set once a user starts using the product, and it is with the characteristics of the Large Agency Plan.
Try BigQuery Connector now!

How Does the BigQuery Connector Work?

Getting started with the BigQuery Connector is simple. Follow these steps toconnect your BigQuery Connector account to Dataslayer:

1
Log in to Dataslayer
Select your reporting tool
(e.g., Google Sheets or Power BI)

2
3
Connect your BigQuery account
Insert custom SQL query
4
5
Schedule automated reports or refresh manually for up-to-the-minute data
Use this data to drive smarter marketing decisions, all from one place
6

Frequently Asked Questions About BigQuery Connector

1. What BigQuery metrics and data can I work with using Dataslayer?

The BigQuery Connector is designed to give marketers and analysts seamless access to all of their marketing, sales, or operational data stored in Google BigQuery. Unlike advertising or analytics connectors that focus only on campaign performance, the BigQuery Connector lets you query any dataset you have in your data warehouse—whether it’s marketing attribution tables, customer journey data, financial records, or CRM exports. You can pull aggregated metrics like revenue, cost, ROI, impressions, or any custom-calculated KPIs, as well as raw-level data for advanced modeling. This flexibility ensures that your reporting is not limited to predefined metrics but instead tailored to your specific business needs.

2. Can I analyze large-scale datasets and historical records?

Yes. One of the main advantages of the BigQuery Connector is that it allows you to query and analyze very large datasets without limitations on lookback periods. This is especially valuable for marketers who need to combine long-term historical data with current campaign performance. You can build trend analyses, cohort studies, and customer lifetime value models directly from your BigQuery data, something that is often not possible in native advertising platforms with restricted retention periods.

3. Does the connector support combining marketing data with other business data?

Absolutely. With the BigQuery Connector, you are not limited to marketing tables alone. You can merge advertising data from Google Ads, Meta Ads, or LinkedIn Ads with CRM exports, sales pipelines, or product usage data stored in BigQuery. This integration provides a holistic view of the business, enabling advanced analysis such as marketing mix modeling, lead scoring, revenue attribution, or product analytics. By centralizing everything in BigQuery, Dataslayer makes it easy to pull combined datasets into your preferred reporting tool.

4. Can I write custom SQL queries and pull results into my reports?

Yes. The BigQuery Connector gives you the flexibility to run custom SQL queries directly against your datasets and import the results into destinations like Google Sheets, Excel, or Looker Studio. This allows data teams and marketers to work collaboratively: analysts can design complex queries, while marketers can refresh and use the results in their everyday reports without needing to interact with the BigQuery interface directly. This ensures both power and usability across teams.

5. What scalability and performance benefits does the BigQuery Connector offer?

BigQuery is designed to handle petabytes of data with fast query execution, and the BigQuery Connector makes it simple to tap into this power. You can process large datasets quickly, even when running complex queries across multiple joined tables. For growing organizations, this scalability means you don’t have to worry about data limits—your reporting grows seamlessly with your business. Dataslayer ensures that you can refresh your dashboards without experiencing delays, even when querying millions of rows.

6. What reporting destinations are supported for BigQuery data?

The BigQuery Connector works with all major reporting destinations supported by Dataslayer. You can send query results to Google Sheets or Excel for quick manipulation, connect to Looker Studio or Power BI to create interactive dashboards, or use the API Query Manager for automated pipelines. Since the data is already in a warehouse, you can also combine BigQuery with other connectors for advanced data workflows that integrate seamlessly with Snowflake, Redshift, or Amazon S3.

7. How is pricing structured for the BigQuery Connector?

Like all Dataslayer connectors, the BigQuery Connector is included in every subscription plan. Pricing depends only on usage: the number of API calls or rows processed in your reporting destination, and the number of accounts connected. There are no additional fees for enabling BigQuery. This allows you to combine your warehouse queries with data from Google Ads, Meta Ads, or TikTok Ads under the same plan without paying any extra connector costs.

8. Where can I get help with the BigQuery Connector?

To help you make the most of the BigQuery Connector, Dataslayer provides detailed documentation, guides, and tutorials in the Knowledge Base. These resources explain how to set up connections, run queries, and build automated dashboards. If you need personalized assistance, our support team is available via live chat and email to provide troubleshooting, advice on SQL queries, and best practices for integrating BigQuery with other Dataslayer connectors.

BigQuery Connector: A Data Overview

Accounts connected
Weekly users
Active integrations
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