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Google Analytics Pack for Coda

Build reports and workflows in Coda from your Google Analytics data.

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Before

People often stare at their Google Analytics dashboard without really doing something actionable or meaningful to understand what’s going on with their data.

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After

Build reports and workflows in Coda from you Google Analytics data. Visualize your data, add notes, collaborate with your team, and expand what’s possible.

Hi, my name is Johannes and I created the Google Analytics Pack for Coda to analyze my data, generate notes, and facilitate discussions with my team so we improve our website’s performance. You can even set up automations when you hit milestones—like Slacking your team when web traffic hits 1M views. Here’s a glimpse of what you can do:

✅ Use cases:
Build and share custom reports for your team and stakeholders.
Invite your team to analyze your website’s performance together.
Make data-based decisions, plan your marketing campaigns, and build custom automations for your data.

⭐ Start with these templates



👉 Get started with this template


Step #1:
Create a copy of this doc
and connect your own Google Analytics account.

Step #2: Expand the Sources table below and select the Google Analytics source to display (checkbox)
Sources
Step #3: Click the button to start the sync
Sync now
and you’re all set!


Build your own website report and share it with your team

Users & Sessions
1
Connect your account to refresh data from Google Analytics.


We had an average of 1,172 users per day, our best day was on October 18th, with 2K users. The main reason for this was our interview with Elle.


Questions about this?
1
2
Question
Who
Vote!
Done
Answer
What happened on Oct 18th? We go 7K sessions!
Pack Whale
Do we have a plan to grow sessions next month?
Hector Reyes
There are no rows in this table

Website Data
1
Connect your account to refresh data from Google Analytics.
Users Row Number
Date
Users
New Users
Sessions Per User
Sessions
Avg Session Duration
Bounce Rate
Pageviews
Pageviews Per Session
1
1
10/4/2022
1,672
993
1.48
2346
364.78
0.26
5855
2.5
2
2
10/5/2022
1,338
642
1.35
1694
393.65
0.24
4621
2.73
3
3
10/6/2022
1,160
607
1.38
1473
345.25
0.27
3839
2.61
4
4
10/7/2022
964
580
1.42
1240
364.2
0.28
3094
2.5
5
5
10/8/2022
931
570
1.42
1242
410.1
0.24
3693
2.97
6
6
10/9/2022
651
347
1.49
891
300.34
0.24
2283
2.56
7
7
10/10/2022
1,432
1025
1.32
1799
318.22
0.25
4751
2.64
8
8
10/11/2022
1,966
1180
1.43
2692
346.42
0.23
7147
2.65
9
9
10/12/2022
1,742
1032
1.39
2305
372.01
0.23
5961
2.59
10
10
10/13/2022
1,828
1265
1.44
2487
478.23
0.24
7023
2.82
11
11
10/14/2022
1,233
699
1.5
1701
438.95
0.27
6609
3.89
12
12
10/15/2022
1,075
640
1.44
1420
369.52
0.27
3893
2.74
13
13
10/16/2022
636
257
1.52
837
376.14
0.29
2201
2.63
14
14
10/17/2022
1,331
787
1.39
1727
339.7
0.26
4452
2.58
15
15
10/18/2022
2,074
1308
1.39
2756
359.72
0.24
7217
2.62
16
16
10/19/2022
1,718
1007
1.43
2317
421.54
0.23
6567
2.83
17
17
10/20/2022
1,132
530
1.54
1590
393.21
0.26
4355
2.74
18
18
10/21/2022
1,443
822
1.46
1987
373.66
0.27
4858
2.44
19
19
10/22/2022
1,832
1403
1.34
2332
481.91
0.25
5866
2.52
20
20
10/23/2022
1,069
718
1.36
1363
484.63
0.25
3365
2.47
21
21
10/24/2022
1,431
1049
1.31
1758
339.23
0.26
3987
2.27
22
22
10/25/2022
1,257
628
1.29
1498
330.97
0.24
3947
2.63
23
23
10/26/2022
1,298
613
1.45
1744
394.25
0.26
4424
2.54
24
24
10/27/2022
1,284
705
1.4
1679
358.1
0.24
4045
2.41
25
25
10/28/2022
1,502
836
1.42
1996
353.43
0.26
5059
2.53
26
26
10/29/2022
1,310
783
1.44
1775
486.93
0.23
5193
2.93
27
27
10/30/2022
988
476
1.4
1264
423.38
0.26
3783
2.99
28
28
10/31/2022
740
296
1.44
977
311.2
0.27
2560
2.62
29
29
11/1/2022
1,693
940
1.37
2239
333.2
0.19
5741
2.56
30
30
11/2/2022
1,298
687
1.47
1783
373.94
0.27
4423
2.48
31
31
11/3/2022
184
101
1.27
205
281.58
0.35
490
2.39
There are no rows in this table






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