Difference between s.t() and s.tl() send data | Analytics

- s.t(): Send data to Adobe Analytics and treat it as a page view

- s.tl(): Send data to Adobe Analytics and do not treat it as a page view

Adobe Analytics - Virtual report suites

Adobe Analytics virtual report suites segment our Adobe Analytics data so that we can control access to each segment. The virtual report suite inherits the data from the global report suite. For example, if we would like to manage the web and mobile Analytics data into a single report suite and all data are flowing into a global report suite, but to segregate those data further those data also flowing into smaller report suites. We set a variable to multiple report suites, and send their data to more than one report suite. This is referred to as multi suite tagging or base/parent report suites.

So, the purpose is to send the data to one report suite, which then is divided according to segments. And based on that segment we can control the access of Analytics data like what information should visible to a particular Analytics user.

Benefits of using Virtual report suites

1. Simplify implementation by allowing you to use a single Report Suite ID (RSID) across all sites/domains. Having all data in a single report suite enables customer analytics as we move toward the next generation of Adobe Analytics.
2. Business users in your organization always see only the data segments that are relevant to them.
3. Improve security by allowing Admin users to control data access more easily and more granularly after implementation.
4. Provide the ability to participate in Device Co-op
5. People metric
6. A single-customer view of data (in the future)
7. The ability to create unlimited virtual report suites to segment out data

Reference:

1. Adobe Experience League - Virtual report suite

Google Analytics questions and answers for beginner

1. What would you use to compare two date ranges in a report?

1. Hourly, Day, Week, Month views in the time graph
2. Real-time reports
3. Date range comparison
4. Account selector

2. What does the “Users” metric measure?

1. The total number of visits to your website
2. Users that had at least one session on your site in the given date range
3. Users that landed on the homepage of your website
4. Users who have signed up to an email newsletter on your website

3. In Google Analytics, what is the “Bounce Rate”?

1. The number of times unique users returned to your website in a given time period
2. The percentage of sessions in which a user exits from your homepage
3. The percentage of total site exits
4. The percentage of visits when a user landed on your website and exited without any interactions

4. In Google Analytics, what is a “dimension”?

1. The total amount of revenue a business has made in a given date range.
2. An attribute of a data set that can be organized for better analysis.
3. A comparison of data between two date ranges.
4. A report that offers information about your audience.

5. In Google Analytics, what is a “metric”?

1. A dimension that can help you analyze site performance.
2. The dates in your date range.
3. A segment of data separated out in a report for comparison.
4. The numbers in a data set often paired with dimensions.

6. In Google Analytics, what is a “secondary dimension”?

1. An additional widget you can add to a dashboard for more specific analysis.
2. An additional metric you can add to a report for more specific analysis.
3. An additional dimension you can add to a report for more specific analysis.
4. A visualization that allows you to view understand the impact of your data.

7. If you wish to see if report data is performing above or below the website average, which Google Analytics visualization should you choose?

1. Pivot view
2. Comparison view
3. Performance view
4. Percentage view

8. How do you increase the amount of data in a sampled Google Analytics report?

1. Choose “Greater precision” in the sampling pulldown menu
2. Choose “Faster response” in the sampling pulldown menu
3. Apply additional filters
4. Remove the Secondary Dimension

9. By selecting “Share Template Link” you can share your dashboard and your data with another user.

1. True
2. False

10. If you share a dashboard with others, they can change the information that shows on their dashboard

1. True
2. False

Correct Answers:

1. Date range comparison
2. Users that had at least one session on your site in the given date range
3. The percentage of visits when a user landed on your website and exited without any interactions
4. An attribute of a data set that can be organized for better analysis.
5. The numbers in a data set often paired with dimensions.
6. An additional dimension you can add to a report for more specific analysis.
7. Comparison view
8. Choose “Greater precision” in the sampling pulldown menu
9. False
10. True