Unlock the full potential of your ActiveCampaign data by integrating it seamlessly with BigQuery. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see it in action!
You are going about your day setting up and operating your organization’s data infrastructure and preparing it for further analysis. Suddenly, you get a request from one of your team members to replicate data from ActiveCampaign to BigQuery.
We are here to help you out with this problem. You can transfer data from ActiveCampaign to BigQuery using custom ETL scripts. Or you can pick an automated tool to do the heavy lifting. This article provides a step-by-step guide for both of them.
How to Connect ActiveCampaign to BigQuery?
To replicate data from ActiveCampaign to BigQuery, you can either use CSV files or a no-code automated solution. We’ll cover replication via CSV files next.
Method 1: Export ActiveCampaign to BigQuery using CSV Files.
You can export CSV files from ActiveCampaign and import them to BigQuery.
- Step 1: In ActiveCampaign, navigate to “Contacts” > “Export.” Type the name of the export and select all the fields you want to export. Click on “Export.”
- Step 2: You can download this from the Downloads link under the “Actions” column.
- Step 3: To load CSV data into a new BigQuery table, navigate to “Explorer” > “Dataset info.” Click on “Create table” on the BigQuery page.
- Step 4: In the Create Table panel, specify the following details:
- Select “Google Cloud Storage” from the “Create table” list in the Source section.
- In the Destination section, select the dataset you want to create and enter the table name. Set Table type to Native Table.
- In the Schema section, enter the schema definition.
- Step 5: Click on Create Table.
Using CSV files and SQL queries is a great way to replicate data from ActiveCampaign to BigQuery. It is ideal in the following situations:
- One-Time Data Replication: When your business teams require these ActiveCampaign files quarterly, annually, or for a single occasion, manual effort and time are justified.
- No Transformation of Data Required: This strategy offers limited data transformation options. Therefore, it is ideal if the data in your spreadsheets is accurate, standardized, and presented in a suitable format for analysis.
- Lesser Number of Files: Downloading and composing SQL queries to upload multiple CSV files is time-consuming. It can be particularly time-consuming if you need to generate a 360-degree view of the business and merge spreadsheets containing data from multiple departments across the organization.
You face a challenge when your business teams require fresh data from multiple reports every few hours. For them to make sense of this data in various formats, it must be cleaned and standardized. This eventually causes you to devote substantial engineering bandwidth to creating new data connectors. To ensure a replication with zero data loss, you must monitor any changes to these connectors and fix data pipelines on an ad hoc basis. These additional tasks consume forty to fifty percent of the time you could have spent on your primary engineering objectives.
How about you focus on more productive tasks than repeatedly writing custom ETL scripts, downloading, cleaning, and uploading CSV files? This sounds good, right?
In that case, you can…
Load Data from Active Campaign to BigQuery
Load Data from Active Campaign to Snowflake
Load Data From Active Campaign to Redshift
Method 2: Migrate your ActiveCampaign Data to BigQuery using Hevo
Going all the way to use CSV files for every new data connector request is not the most efficient and economical solution. Frequent breakages, pipeline errors, and lack of data flow monitoring make scaling such a system a nightmare.
You can streamline the ActiveCampaign to BigQuery data integration process by opting for an automated tool. To name a few benefits, you can check out the following:
- It allows you to focus on core engineering objectives. At the same time, your business teams can jump on to reporting without any delays or data dependency on you.
- Your marketers can effortlessly enrich, filter, aggregate, and segment raw ActiveCampaign data with just a few clicks.
- The beginner-friendly UI saves the engineering team hours of productive time lost due to tedious data preparation tasks.
- Without coding knowledge, your analysts can seamlessly aggregate campaign data from multiple sources for faster analysis.
- Your business teams get to work with near real-time data with no compromise on the accuracy & consistency of the analysis.
As a hands-on example, you can check out how Hevo, a cloud-based No-code ETL/ELT Tool, makes the ActiveCampaign to BigQuery data replication effortless in just 2 simple steps:
Step 1: Configure ActiveCampaign as a Source
Configure ActiveCampaign as the source in Hevo.
Step 2: Configure BigQuery as a Destination
Configure Google BigQuery as your Destination.
That’s it, literally! You have connected ActiveCampaign to BigQuery in just 2 steps. These were just the inputs required from your end. Now, everything will be taken care of by Hevo. It will automatically replicate new and updated data from ActiveCampaign to Google BigQuery every 1 hour (by default). However, you can also increase the pipeline frequency as per your requirements.
Data Replication Frequency
| Default Pipeline Frequency | Minimum Pipeline Frequency | Maximum Pipeline Frequency | Custom Frequency Range (Hrs) |
| 1 Hr | 1 Hr | 24 Hrs | 1-24 Hrs |
You can also visit the official documentation of Hevo for ActiveCampaign as a source and Google BigQuery as a destination to have in-depth knowledge about the process.
In a matter of minutes, you can complete this No-Code & automated approach of connecting ActiveCampaign to BigQuery using Hevo and start analyzing your data.
Hevo’s fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. It also enriches the data and transforms it into an analysis-ready form without having to write a single line of code.
Hevo’s reliable data pipeline platform enables you to set up zero-code and zero-maintenance data pipelines that just work. By employing Hevo for simplifying your data integration needs, you get to leverage its salient features:
- Fully Managed: You don’t need to dedicate any time to building your pipelines. With Hevo’s dashboard, you can monitor all the processes in your pipeline, thus giving you complete control over it.
- Data Transformation: Hevo provides a simple interface to cleanse, modify, and transform your data through drag-and-drop features and Python scripts. It can accommodate multiple use cases with its pre-load and post-load transformation capabilities.
- Schema Management: With Hevo’s auto schema mapping feature, all your mappings will be automatically detected and managed to the destination schema.
- Transparent pricing: You can select your pricing plan based on your requirements. Different plans are put together on its website and all the features it supports. You can adjust your credit limits and spend notifications for increased data flow.
- Live Support: The support team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
Seamlessly Import your ActiveCampaign to BigQuery
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What can you hope to achieve by replicating data from ActiveCampaign to BigQuery?
Here’s a little something for the data analyst on your team. We’ve mentioned a few core insights you could get by replicating data from ActiveCampaign to BigQuery. Does your use case make the list?
- Which Demographic contributes to the highest fraction of users of a particular Product Feature?
- How do Paid Sessions and Goal Conversion Rates vary with Marketing Spend and Cash flow?
- How to identify your most valuable customer segments?
Read More About: Integrating Data from ActiveCampaign to Redshift
Key Takeaways
These data requests from your marketing and product teams can be effectively fulfilled by replicating data from ActiveCampaign to BigQuery. If data replication must occur every few hours, you will have to switch to a custom data pipeline. This is crucial for marketers, as they require continuous updates on the ROI of their marketing campaigns and channels. Instead of spending months developing and maintaining such data integrations, you can enjoy a smooth ride with Hevo’s 150+ plug-and-play integrations (including 40+ free sources such as ActiveCampaign).
BigQuery’s “serverless” architecture prioritizes scalability and query speed and enables you to scale and conduct ad hoc analyses much more quickly than with cloud-based server structures. The cherry on top — Hevo will make it further simpler by making the data replication process very fast!
Saving countless hours of manual data cleaning & standardizing, Hevo’s pre-load data transformations get it done in minutes via a simple drag-and-drop interface or your custom Python scripts. No need to go to your data warehouse for post-load transformations. You can simply run complex SQL transformations from the comfort of Hevo’s interface and get your data in the final analysis-ready form.
We hope you have found the appropriate answer to the query you were searching for. Happy to help!
FAQ on ActiveCampaign to BigQuery
What type of data is stored in ActiveCampaign?
ActiveCampaign primarily stores customer relationship management (CRM) data, including contact information, email campaign performance metrics, user interactions, tags, notes, automation workflows, and segmentation data. It also holds information on leads, sales pipeline stages, and customer engagement activities.
Why do I need to integrate my ActiveCampaign data with BigQuery?
Integrating ActiveCampaign data with BigQuery allows for advanced analytics and reporting capabilities. It enables you to combine your marketing data with other datasets for deeper insights, perform complex queries on large volumes of data, and leverage BigQuery’s machine learning and data visualization tools to improve marketing strategies.
How do I load ActiveCampaign to BigQuery?
To load ActiveCampaign data to BigQuery:
1. Export Data: Use ActiveCampaign’s API to extract data or export it as CSV files.
2. Prepare Data: Clean and format the data as necessary to match the schema in BigQuery.
3. Load Data: Use the BigQuery Data Transfer Service or the LOAD DATA command.
4. Schedule Regular Updates: Optionally, set up a scheduled job to update your BigQuery tables regularly to keep your data current.
Sharon is a data science enthusiast with a hands-on approach to data integration and infrastructure. She leverages her technical background in computer science and her experience as a Marketing Content Analyst at Hevo Data to create informative content that bridges the gap between technical concepts and practical applications. Sharon's passion lies in using data to solve real-world problems and empower others with data literacy.
