Google Analytics reports in Google spreadsheets

Create an hourly refreshing report in Google spreadsheets to display the current day’s data, enabling immediate visibility of your key website metric’s development.

Set up an hourly spreadsheet report to monitor transaction revenue and e-commerce conversion rate using Google Analytics dimensions and metrics.

Build an automated hourly monitoring report in Google Sheets that tracks hourly revenue and conversion rate with charts and simple formatting. The report updates every hour with fresh data.

Identify opportunities for keywords to start campaigns, create content, or sell products, and reveal highly performing search terms from the internal search engine before bidding begins.

Create an automated Google Sheets report that cross references site search terms from Google Analytics with Google Ads search queries, using seven days of data to compare searches and revenue.

Learn to build a cross-referenced Google Sheets report from Google Analytics data, linking internal search terms and search queries, calculating revenue per search, and using conditional formatting to prioritize bids.

Discover how to measure page-level conversions by exporting data from Google Analytics into Google Sheets to compare which pages convert best and generate leads.

Discover how to compute a page-level conversion rate for a 'Contact US' event by exporting unique events by page and unique page views to Google Sheets.

Explore events on pages in Google Analytics by analyzing event category and page, compute conversion rate from unique events to unique page views, and visualize trends in Google Sheets.

Open the analytics dashboard to compare yesterday’s performance with last year and track the current month against goals for leaders, with easy hourly monitoring.

Learn to build a monthly website monitoring report in Google Sheets that tracks revenue, users, and transactions daily, and compares current month data to last year.

Create an automated daily dashboard in Google Analytics data within Google spreadsheets, showing current month revenue, users, and transactions with a year-over-year comparison and conversion rate metrics.

Build a checkout steps performance report in Google Sheets to track user flow and timing across steps like personal information, delivery, and payment.

Learn to pull Google Analytics data into Google Sheets, filter by checkout step pages, compute unique page views and entrances, and visualize checkout flow over time with charts and dashboards.

Track how the mobile to desktop traffic ratio evolves over time by creating a spreadsheet report, rather than using the interface, for clear trend insights in Google Analytics.

Build a simple devices ratio report in Google spreadsheets to track desktop, tablet, and mobile traffic over time, using device category and users with weak index as the metric.

Build a simple devices ratio report in Google Sheets by calculating desktop, mobile, and tablet user shares over the week using weak index, then chart the trends.

Explore how a spreadsheet can estimate the cost of website outage by calculating lost leads and revenue, with a practical outage calculator example.

Build a spreadsheet outage calculator for revenue or any metric, using minute-level time with date, hour, and minute dimensions across seven report configurations.

Build an outage revenue calculator in Google Sheets to compute revenue during outages and compare with six-week averages, using outage date, start and end times, and revenue data.

Explore how to share Google Analytics reports in Google spreadsheets, control access, view reports without Google Analytics access, and understand sharing limits.

Learn how to share Google Analytics data in spreadsheets, inviting people by email with edit, comment, or view rights, or use link sharing for anyone with the link.

Explore common errors and API limits when generating Google Analytics reports in Google spreadsheets, and use linked resources to troubleshoot error responses and API limits.

Extend Google Analytics beyond its interface by exporting data, manipulating it in Google Sheets, scheduling hourly refreshes, and sharing automated, integrated reports.