This is a project requirement to complete a Degree in Google Analytics and Data Studio. Here we have covered Views & Filters, Data Exploration, Segmentation, Dashboard, Time Series chart, Date Range Control.

1. Advanced Displays,

2. Prim

3. 1.Best Practice Check:
Three Primary Views
This account is Google Merchandise Store Demo Account. Here we can see that
Raw Data View, Master View, Test View those can be create from Create View
option given in the screen shot.

4. From Admin Section select Filter option and then select “Create new Filter”.
After naming Filter Name", select Exclude then put a IP address and next select
Save option. That's how we can make a filter type.

5. r

6. Standard Display - Audience
In the three month time period from Sunday
1st March to 31st May 2020, visitors peaked
number in the week of 24th–30th of May at
12,509 and dropped to the lowest in the
week of 22nd May – 31st June at 8,931.
We are certain why this happened but we can
see returning visitor percentage of dropped
week was only 20% which may be a reason.
Covid-19 might be the reason not having many
user in dropped week whereas in June tread is
high since people started use to with this
pandemic situation and going back to normal
life.

7. Standard Display: Acquisition
In the time period, the highest bounce
rate is 75.01 from Display marketing
and lowest bounce rate is 34.40% from
Affiliate marketing which means people
went away from the first page. On the
other side, highest eCommerce
Conversion rate is 20% from paid
marketing and lowest rate is 00% from
affiliate marketing which means people
purchase from this site coming from
paid marketing whereas affiliate
marketing is not working well (need new
strategy).

8. Percentage Display:
Conversion
Here is the conversion related screen
shot only.

9. Comparison
Display: Behavior
/google+redesign/shop+by+brand/
youtube site performing badly in
term of speed and /basket.html
has good speed timing.

10. Percentage Display: Audience
Desktop user 70% and mobile user is
27% which indicate that we should
have a better performing Apps to user
friendly.

11. Segmen

12. Audience Segment: Characteristic
51.90% of total user's language is US
English 12.24% use other form of
English language. From US English
speaker in New York has the highest
revenue and second position hold by
San Francisco.

13. Audience Segment:
Geography
40.74% of total user is from
Northern America. San Francisc is
holding the second position.

14. Audience Segment: User
Behavior
95.44% of total user is new user. So, we
can see that customer retainsion is not
up to the mark. Session percentage is
97.24%.

16. 1. Merchandise Store Draft Dashboard:Built on the Master View
I have added Master View at "Data Source" in google data studio.

17. 2. Merchandise Store Draft Dashboard: Time Series chart
Here is the line graph of Unique PageView, Session and User with time
serise . Session and User are colsely related in this line graph.

18. 3. Merchandise Store Draft Dashboard: Pie chart, 7 slices
This is the pie chart of 7 slice on revenue by product categories during time
period.

19. 4. Merchandise Store Draft Dashboard: Pie chart, 5 slices
This is the pie chart of 5 slice on revenue by source during time period.

20. 5. Merchandise Store Draft Dashboard:
Scorecard
Average order value is in box which will change if time and data source
changes.

21. 6. Merchandise Store Draft Dashboard: Date
Range Control – Usage Demonstration
By this scorecard data range selected August 1st-September 5th, 2018 and
its integrated with all the related graph.