Google Adwords is an advertising tool that focuses on a cost-per-click model of paying for ads. Adwords tracks data on the performance of ads and ad campaigns, which can provide insights on if the budget for your ads is reflective of the value they bring to your company.
Google Sheets is an online spreadsheet app that lets users create and format spreadsheets while simultaneously working with other people. Businesses can use Google Sheets to maintain data consistency across departments and to ensure that every member of their team is on the same page.
Bring all your Google AdWords data to Amazon Redshift
Load your Google AdWords data to Google BigQuery
ETL all your Google AdWords data to Snowflake
Move your Google AdWords data to MySQL
Bring all your Google Sheets data to Amazon Redshift
Load your Google Sheets data to Google BigQuery
ETL all your Google Sheets data to Snowflake
Move your Google Sheets data to MySQL
Monitor ads that share a single budget and bid amount, allowing you to efficiently track ad performance, change your bidding strategy, and ensure that an ad group is giving you the right return on your investment.
Organize ad groups into campaigns and set a single budget and bidding frequency. With this, you can better manage the expense of your ads and ensure that you are running the right ads for your purposes.
Use developer metadata to keep track of a location or an object in a spreadsheet. This can help you maintain data organization and clarity, even as you scale or continue to add new rows of information.
Create new spreadsheets, look up existing spreadsheets via spreadsheet ID, or get data on portions of a spreadsheet using filters. These functions can help you understand and consolidate your data for big-picture business insights.
Maintain full control over the values on your spreadsheet and add, clear, append, or update values as necessary. Use this flexibility to keep your data up-to-date and useful at all times.
Use sheets to copy a single sheet from a spreadsheet to another spreadsheet. This can be especially useful when you’re integrating data from various sources or reorganizing your data structure for analytics.