A Step-by-Step Guide to Connecting ShipHero to BigQuery and Moving Klaviyo Data

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Today’s data-driven businesses must integrate their systems to maximize efficiency and make informed decisions. Integrating data improves efficiency and ensures useful insights from combined data sets. ShipHero, Google BigQuery, and Klaviyo are just a few examples of popular platforms in the e-commerce and data analytics fields. By integrating with Google BigQuery, a robust data warehouse, the popular order fulfillment solution ShipHero can offer unprecedented insights. The addition of Klaviyo, a powerful marketing platform, gives businesses a trifecta of resources for amplifying their data analysis and marketing approaches.

Understanding the Platforms


ShipHero is an all-inclusive system for handling inventory and shipping orders. E-commerce operations are streamlined by automating order processing, inventory tracking, and shipping. E-commerce businesses need a platform for reduced shipping errors, faster order processing, and real-time inventory visibility.

Google BigQuery

Google BigQuery is a fully managed, serverless data warehouse that enables lightning-fast SQL queries by harnessing Google’s vast computing resources. Near-instantaneous analytics, lightning-fast query processing, and intelligent scalability are its hallmarks. BigQuery’s real-time analysis of massive datasets aids data-driven business decisions.


Klaviyo is a cutting-edge e-commerce marketing automation platform. Brands can use data to create personalized, multi-channel marketing campaigns. Klaviyo helps e-commerce marketers segment audiences, automate email campaigns, and track performance metrics for targeted and effective marketing. Its integration capabilities make it a key component of many e-commerce marketing strategies.

Connect ShipHero to Google BigQuery

ShipHero and Google Cloud Platform accounts must be active before integrating. Access to BigQuery and ShipHero’s API is crucial. Learn about Google Cloud SDK and ShipHero integration software to simplify the connection.

1. The BigQuery API setup guide to connect Shiphero to Google Bigquery is here:

  • Select your project in Google Cloud Console.
  • Go to “APIs & Services” in the navigation pane and click “Enable.”
  • Locate “BigQuery API” and enable it.

2. Configuring ShipHero settings for integration:

  • Sign in to ShipHero.
  • Visit integrations or API.
  • Locate the BigQuery connection option and supply the required details, such as your Google Cloud Project ID and API key.
  • The ShipHero information must be placed in a BigQuery dataset.

3. Testing the connection:

  • Start a trial data import from ShipHero into BigQuery.
  • Once the data has been transferred, you should double-check its presence and accuracy in the designated BigQuery dataset.

Incorrect API keys or insufficient permissions are common causes of integration issues. Verify the authenticity and currency of all credentials. If data transfer fails, check for data format mismatches. Always consult official documentation, and consider contacting platform support teams for complex issues to ensure a seamless integration.

Why Move Klaviyo Data to BigQuery

When marketing insights from Klaviyo are moved to BigQuery, silos in the data infrastructure are shattered. Combining Klaviyo’s granular marketing data with BigQuery’s analytics boosts its power. The result: better insights, marketing strategies, and data-driven decisions that boost profits.

Step-by-Step Process to Move Klaviyo Data to BigQuery

  1. Exporting data from Klaviyo:

Klaviyo login: Access your Klaviyo dashboard with your credentials.

Select ‘Data Export’ from ‘Account’: The Klaviyo dashboard’s ‘Account’ section contains administrative and data tools. Data extraction is the purpose of ‘Data Export.’

Select desired data sets: You can choose lists, campaigns, or metrics for analysis. This granularity exports only relevant data. 

Specify the date range: Filter your data based on specific time frames, ensuring you capture the most relevant periods for your analysis.

‘Export Data’ and download: Start exporting after setting parameters. Klaviyo offers CSV or JSON downloads after processing.

  1. Formatting and preparing data for BigQuery:

Open exported files: Examine the exported data structure with a data editor or viewer.

Ensure alignment with BigQuery’s requirements: BigQuery has specific data type and format requirements. Ensure your dates, strings, and numbers match these specifications.

Streamline the data: Eliminating unnecessary columns or data points can speed up the import process and subsequent queries.

  1. Importing data into BigQuery:

Google Cloud Platform Console Access: You can access BigQuery through your Google Cloud account once you have logged in.

Project and dataset selection: Within BigQuery, decide which project and dataset will house the Klaviyo data.

Select ‘Create Table’ and ‘Upload’: Create a new table and click ‘Upload’ to add Klaviyo data.

Define options: Set the table schema, data format (CSV or JSON, depending on your Klaviyo export), and other settings.

Click ‘ Create Table’: This action will initiate the data import.

  1. Verifying the data transfer:
  • After loading your data into BigQuery, run a few sample queries to verify its integrity and structure.
  • Compare BigQuery and Klaviyo record counts and key metrics to ensure a complete and accurate transfer. Significant discrepancies should be investigated and resolved.

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Klaviyo and BigQuery integration is strategic in the digital age. Businesses gain new insights by centralizing Klaviyo’s rich marketing data in BigQuery’s robust analytical environment. In addition to improving data management, this synergy gives businesses the tools they need to develop more effective marketing strategies, base decisions on empirical evidence, and gain an edge in the marketplace. As we have shown, the procedure is complex but doable with careful planning and execution. If they want to succeed in today’s data-driven economy, companies must adopt such integrations.


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