Google Analytics views are filtered data snapshots. They help analyze segmented data and make business and marketing decisions.
Views can be useful, but inconsistent settings can be harmful. Channel reporting, bounce rate, and other metrics may be inaccurate if goals, Ads accounts, or query parameter exclusions are not linked consistently across views.
What is a view?
Google Analytics displays reports and analysis tools. Filters allow data customization.
Views help you gain insight by dividing reporting data into manageable subsets. This can help prioritize business-related data.
Google Analytics uses pageviews to count how many times a web page has been viewed. This includes repeat and new users.
Most users access websites via browser address bar or social media links. Pageviews increase with user access options.
Creating a view
Google Analytics views organize data into easily digestible subsets, making it easier to find the most relevant data for marketing and campaign goals. Finance and marketing may need different data.
Referral traffic can distort data, so create a view. Referral traffic comes from other websites or links.
Views define report columns. Base tables supply these columns.
Updates to a view’s underlying table will automatically update the view. This simplifies complex calculations, eliminates queries, and simplifies view management and updating.
Creating a filter
You can filter data in Google Analytics. It is essential for ensuring your reports contain relevant data.
You can filter out internal visits, ad tags, email automation queries, and language modifiers. No limits!
Log into your Google Analytics Admin account to create a new filter. Click + Add Filter after selecting the Account and Property.
Creating a custom metric
ABM metrics are standard, but there are many custom options to track audience data. You might track video views from a certain demographic.
Custom metrics can measure these additional items in Google Analytics. They enhance report flexibility and insight.
Custom metrics must be scoped. Hit or product-level.
Since hit-level custom metrics do not wipe previous values, they are useful for product reporting.
In Google Analytics, click “Add Metric” and type your MAQL query into the Editor pane to create a custom metric.