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Learn more about syncing Google Ads data


Detailed documentation on how to start syncing Google Ads data.

Google Ads Documentation

Jumpstart your Google Ads analytics with reusable blocks

dbt packages can speed up your work

Once you replicate your Google Ads data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.

Dbt has prebuilt packages for many Stitch data sources, including Google Ads. Here’s a look at code for modeling Google Ads data. These packages are composed of a collection of reusable SQL queries and macros that can transform data that follows a particular schema. This particular block of code is an example of one of the macros that can quickly transform your Google Ads data to measure click performance.

View the source on GitHub →
                            {% macro stitch_adwords_click_performance() %}
    {{ adapter_macro('adwords.stitch_adwords_click_performance') }}
{% endmacro %}
{% macro default__stitch_adwords_click_performance() %}
with gclid_base as (
        googleclickid as gclid,
        day::date as date_day,
        keywordid as criteria_id,
        adgroupid as ad_group_id,
        row_number() over (partition by gclid order by date_day) as row_num
    from {{ var('click_performance_report') }}
select * from gclid_base
where row_num = 1
and gclid is not null
{% endmacro %}

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When it comes to replicating your data to Amazon S3, conventional ETL is no longer the only game in town.

Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.

This is where Stitch can help.

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Founder and CEO, ReportGarden

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