Coupler.io Blog

How to Load Data From Google Ads to PostgreSQL? – Three Methods Explained

  • Borys Vasylchuk

    • PostgreSQL is an open-source database system that includes in-built analytics functionalities. It is a suitable option for storing and analyzing your Google Ads data. In this article, we offer various tutorials to connect Google Ads to PostgreSQL. Additionally, you can use other reporting tools to visualize data or build ad performance analytics dashboards.

    Different options to connect Google Ads to PostgreSQL

    Let’s explore these methods in more detail and learn how to load data from Google Ads to PostgreSQL.

    How to load ad data to PostgreSQL automatically with Coupler.io?

    Coupler.io can extract, transform, and load (ETL) your Google Ads data into Postgres. You can set up the connection for Google Ads analytics in a few easy steps:

    Step 1: Extract data from Google Ads

    To start the data transfer, click Proceed in the form below. This will open a pre-configured importer.

    To continue, you’ll need a Coupler.io account, which is free to create (no credit card is required).

    In the importer, connect your Google Ads account and select the data to export. You can choose from various reports, core components, campaign settings, conversions, etc. Popular ones include campaign performance, keyword performance, ad group performance, and ad performance reports.

    Optionally, you can set a dynamic period for the report’s data using macros, e.g., from {{60daysago}} to {{today}}.

    In this step, you have the option to connect additional data sources, such as other Google Ads accounts or paid channels, to the importer. This is useful when you want to merge data from multiple sources into a single dataset.

    Step 2: Preview & transform data

    Coupler.io lets you review data and perform transformations before loading your data into Postgres.

    Here, you can:

    There is also an option to combine data if you’ve connected multiple data sources (e.g., multiple Google Ads accounts or other paid channels).

    You can proceed further once the data looks good.

    Step 3: Load data into PostgreSQL and schedule refresh

    To connect your PostgreSQL account, follow the on-screen instructions. You’ll need to enter these details: host, port, database name, username, and password.

    You can specify the schema name and table for loading your data in Postgres. It could be an existing table or a new one.

    Optionally, choose the Import mode from the following options to control how new rows are added on each run:

    Enable the automatic data refresh option to update data, regularly sending the latest information from Google Ads to PostgreSQL.

    Select how often you would like the data to be refreshed (e.g., every 15 minutes), along with your preferred days of the week and specific times for the updates.

    Save and run the importer.

    On a successful run, the ad data will be exported to PostgreSQL.

    Coupler.io will also automatically update the PostgreSQL data table, fetching fresh information from Google Ads according to your schedule. 

    Try Coupler.io for free

    Bonus: Use ready-made report templates to analyze Google Ads data

    You can not only export data from Google Ads to PostgreSQL to further build reports or dashboards with Coupler.io. This platform also provides ready-made reporting templates. In this case, your data will be sent directly to a data viz tool (without using Postgres). 

    Coupler.io offers free plug-and-play Google Ads Looker Studio templates that help you quickly visualize your ad data. These dashboards use a Coupler.io importer, which refreshes data automatically, keeping reports up to date.

    This template offers all the important metrics in a single report, providing a quick view of campaign performance. You can analyze ad reach, spending, and conversion trends, as well as monitor dynamics over time.

    There is also an option to filter the report to show data for a specific date range, campaign type, and campaign.

    It also lists the best-performing campaigns and ad groups on your account.

    The dashboard includes a separate tab where you can track the monthly dynamics and analyze demographics.

    This template comes in several versions – for Looker Studio, Power BI, and Google Sheets. Select the version you need from the banner below. Then, open the template and follow the setup instructions on the Readme tab.

    Google Ads dashboard in Looker Studio

    Get a detailed overview of the performance of your Google ads advertising campaigns to achieve your marketing goals better.

    Try this dashboard

    Google Ads dashboard in Power BI

    Overview the performance of your advertising campaigns in Google Ads and track monthly dynamics of key metrics.

    Try this dashboard

    Google Ads dashboard in Google Sheets

    Evaluate the performance of your PPC campaigns launched on Google and use these insights to optimize budgeting and conversion.

    Try this dashboard

    This report includes an overview of the key metrics, such as cost, impressions, clicks, CPC, conversions, and conversion rate. It also indicates how each of the metrics changed compared to the previous period. You can also find a list of keywords with the metrics breakdown, which helps you identify the best- and worst-performing keywords.

    Use this dashboard template in Looker Studio to regularly find terms not driving conversions and add them to negative keywords in Google Ads. This way, you can optimize your spending and improve the ROAS over time.

    Get this free dashboard

    If you run multiple campaigns, this dashboard can help you by showing insights into different types of creatives. It enables you to identify what types of ads, formats, and assets are driving better results so that you can optimize your strategy.

    In the dashboard, you can find the key metrics such as cost, impressions, clicks, CPC, CPM, and CTR. The report also displays a table showing these metrics for each campaign, ad group, and ad. There is also an option to filter the report for specific date ranges, campaigns, and ads.

    Further, you can see how your ads perform over time. The report also lists the top-performing campaigns and ad types to help you optimize budget allocation.

    Get this free dashboard

    Manual method to load data from Google Ads to PostgreSQL

    From the Google Ads interface, you can export the required report into a CSV file. Then, load it into the PostgreSQL database using the command line. This method may look easy, but it does not actually integrate both platforms and support automatic data refreshes.

    It includes three main steps:

    Open Google Ads and go to the data view you want to export (e.g., campaigns).

    Click the Download icon on the top of the table and select .csv.

    This will download the Google Ads data CSV file.

    Now, go to the PostgreSQL interface and run a PSQL query to create a table with the columns present in CSV. For example, here, we have created a new table named gadsdata with four columns using this SQL query:

    CREATE TABLE gadsdata (

    campaign_name VARCHAR(255),

    campaign_id VARCHAR(50),

    status VARCHAR(50),

    start_date DATE

);

    You can modify this query as per your table name and columns. Once the table is created, use the Copy command to import the downloaded CSV:

    \COPY tablename FROM '/path/to/your/google-ads-file.csv' DELIMITER ',' CSV HEADER;

    Make sure to replace the table name and CSV file path accordingly.

    On a successful import, it will print something like COPY X (where X is the number of rows created). You can verify the Google Ads to PostgreSQL import by viewing the dataset.

    Programmatic method to load data using the API (requires a server)

    Building your own connector and a data pipeline is always an option for data engineers and scientists. However, it requires extensive scripting, APIs, and DBMS knowledge. Therefore, considering the technical complexity involved, it’s not suitable for business users such as marketers.

    To access the data, you will need a Google Ads Manager account with the API enabled.

    Here are the steps involved:

    This can be done using any scripting language you prefer. However, it’s easier with Python, which already has client libraries for the Google Ads API. For further details, refer to the official Google Adwords API docs.

    Now, if you want to automate the Google Ads to PostgreSQL data integration, you’ll need to host the program on a server and set up a workflow for data management. Keep in mind that this may incur additional monthly costs, which will vary based on your hosting server pricing.

    There are different ways to connect both platforms, and you can choose one that suits your needs.

    In addition to PostgreSQL integration, Coupler.io connects to other destinations, such as BI platforms (Power BI, Looker Studio, and Tableau), spreadsheets (Google Sheets and Microsoft Excel), data warehouses, and more. This allows you to further analyze your Google Ads data directly on your favorite reporting platform.

    In addition, it can export data from other online advertising platforms, such as Bing Ads, Facebook Ads, LinkedIn Ads, TikTok Ads, Pinterest Ads, and others. This makes it a single solution to automate reports and analyze data for all your paid channels.

    Automate PPC reporting with Coupler.io

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