Go further with you Google Analytics Data

Analytics 360

Analytics 360 is the paid enterprise version of Google Analytics -introduces two additional ways to organize your analytics data: 1. subproperties 2. roll-up properties

Subproperties

-A sub property gets its data from one other property called the source property. -analytics 360 perk

How do you remove data from analytics?

-You can remove your data from GA4 for any reason and at any time 1. request data deletion -submit a request, with 7 day grace period before the deletion process 2. delete user data -you can delete a single user's data if you have edit permission 3. delete a property -if you have edit permission -will be in the trash up to 35 days then deleted permanently and all data 4. analytics users deletion API -delete data in bulk

Developers can use the Measurement Protocol to:

1. Tie online to offline behavior 2. Measure interactions both client-side and server-side 3. Send events that happen outside web and app (e.g. offline conversions, order refund, in-store purchases)

What are the higher limits that analytics 360 has compared to GA4?

1. has greater event parameter per event, custom dimension, and custom metrics 2. offer 50 conversion types compared to 30 for GA4 3. has 400 audiences compared to 100 for GA4 4. hold data up to 50 months compared to 14 month in GA4 5. BigQuery export billions of event, GA4 has 1M event limit

Which integration enables the Google Organic Search Traffic report in Analytics?

Search Console integration

True or false? You can choose the geographic location where your data is stored when it's exported from Google Analytics to BigQuery.

True

Roll-up properties

contains data from two or more source properties. - It can include source data from ordinary properties and subproperties, but not other roll-up properties. -analytics 360 perk

When using data import, what two types of data are joined with Analytics data when you open a report and Analytics issues a query for the report data?

cost data and item data

Which data collection feature allows you to control the amount of time user-level and event-level data is stored by Google Analytics?

data retention period

Enabling ads personalization in Analytics gives you the ability to use your Analytics audiences to personalize your digital ads. What's the most granular level on which you can customize how data is used?

individual event

True or false? Google Signals in Analytics need to be enabled to use audience features in Google Ads.

true

When using data import, what two types of data are joined with Analytics data when joined at collection/processing time?

user data and offline event data

When do you use roll-up properties?

1. combine products, brands, or regions -Roll-up properties provide a broad view of your business across products, brands, or regions by combining data from multiple source properties into a single roll-up property.

What are two options for how often data is exported to BigQuery?

1. daily -A full export of data takes place once a day. 2. streaming -data is exported continuously throughout the day

When do you use subproperties?

1. data governance: controlling what data is included or excluded from a property. 2. user governance -for example: use case for a sub property to restrict data for each region within its property so there's no access outside the appropriate region.

what levels can your data be used for ads personalization?

1. property-level 2. country-level 3. event or user property level 4. individual event or session

BigQuery

a server-less, cost-effective, multicloud data warehouse designed to help you manage and analyze data with built-in features like machine learning, geospatial analysis, and business intelligence. -lets you run SQL queries -lets you query large sets of data -choose whether to export data to external or internal storage, and location where you'd loke data to be stored

Analytics User Deletion API

delete data in bulk, like for multiple user at one time

what are 4 data collection controls available in GA4?

1. disable data collection 2. IP addresses -does not log or store individual IP addresses, no need to change any settings 3. data retention period -Set the amount of time before user-level and event-level data stored by Google Analytics is automatically deleted from Analytics servers. 4. consent mode -Consent Mode Once implemented, Google's tags will dynamically adapt based on the consent status of your users, only using measurement tools for the specified purposes when consent's been given by the user.

What kind of data can be imported?

1. cost data -Use cost-data import to import data generated by non-Google campaigns, such as email-marketing campaigns and social-media advertising 2. item data -Item-data import can be used by eCommerce businesses to bring an entire product catalog into Analytics, letting you measure user behavior, site traffic, eCommerce revenue, and conversions with item-specific data such as size, color, style, or whatever item dimensions make sense for your business. 3. user data -Enhance user segmentation and remarketing audiences by importing user metadata stored outside of Analytics, such as loyalty rating, date of last purchase, or customer lifetime value from a CRM system. 4. offline events -Import offline events from sources that don't have an internet connection or don't otherwise support real-time event collection. Once you upload events, they're processed like they were collected via Analytics SDKs and use the timestamp you provide or the timestamp of the upload if you don't provide one

what are the 4 ways you can share Analytics data with Google?

1. google products and services -Turning on this setting lets Google Analytics provide best-in-class Intelligence and Insights services and maintain critical spam detection services. 2. benchmarking - Contribute anonymous data to an aggregate data set to enable features like benchmarking and publications that can help you understand data trends. All identifiable information about your website is removed and combined with other anonymous data before it's shared with others. 3. technical support -Let Google technical support representatives access your Google Analytics data and account when necessary to provide service and find solutions to technical issues. 4. account specialist -Give Google marketing and sales specialists access to your Google Analytics data and account so they can find ways to improve your configuration and analysis and share optimization tips with you.

3 ways you can integrate different data sources with analytics data

1. modify and create events 2. measurement protocol -A standard set of rules for collecting and sending events directly to Google Analytics servers. 3. data import -Upload data from external sources and join it with your Analytics data. -Data Import joins the offline data you upload with the event data that Analytics collects

Which of the following is not something you can do with BigQuery export? 1. Export your data from BigQuery to external storage 2. Import other data into BigQuery to combine with Analytics data 3. Export Analytics data to BigQuery and run SQL queries 4. Send events from BigQuery directly to Google Analytics servers

4. Send events from BigQuery directly to Google Analytics servers