Google Ads Data Integration
what does it do?
Conversionomics’ Google Ads data integration allows you to import and transform data from Google Ads to be used with your favorite data visualization tool. Users can combine data from different sources using our UI-based BigQuery builder - no code required - or write your own SQL by leveraging the power of the Google Cloud infrastructure. Export query results directly into tools like Google's Looker Studio for visualization and dashboarding, while preserving the depth of the analysis.
Who is it for?
Data analysts and data scientists: Data professionals often work with large, complex datasets that need to be cleaned, transformed, and prepared for analysis. Conversionomics can help them extract data from multiple sources, perform transformations to standardize or restructure the data, and load it into a data warehouse or other storage system for further analysis.
Business intelligence analysts: BI analysts use data to help organizations make better decisions. Conversionomics can help them extract data from various sources, transform it into a format that's suitable for analysis, and load it into a BI platform or other reporting tool for visualization and analysis.
Data-driven marketers: Marketers may use Conversionomics to extract data from various sources (such as web analytics tools, social media platforms, and email marketing systems), transform it into a consistent format, and load it into a data warehouse or other storage system for further analysis. This can help them understand the effectiveness of their marketing campaigns and make more informed decisions about how to allocate resources.
Why do you need this Google integration?
To get a more comprehensive view of their advertising efforts: By integrating data from multiple campaigns and ad sets, an advertiser can get a more comprehensive view of their advertising efforts on Google Ads. This can help them understand what is working well and what areas need improvement.
To perform more advanced analysis: By integrating data from multiple campaigns and ad sets, an advertiser can perform more advanced analysis of their advertising efforts. For example, they may want to compare the performance of different ad creatives or target audiences to identify trends and patterns.
To combine Google advertising data with data from other sources: An advertiser may want to combine their Google advertising data with data from other sources, such as their website analytics or CRM system, in order to get a more holistic view of their marketing efforts.
To automate reporting: By integrating data from multiple campaigns and ad sets, an advertiser can automate the creation of reports, saving time and effort.
To improve data quality: Integrating data from multiple campaigns and ad sets can help ensure that the data is accurate and consistent, improving its overall quality.