Description
MUST COMPLETE ALL 8 ASSIGNMENTS EACH ASSIGNMENT SHOULD HAVE ITS OWN FILE, YOU MUST TURN 8 FILES TOTAL.
Buhi’s different marketing teams are competing for funding based on past performance. You must determine what efforts are the most effective, so the marketing budget can be allocated to the best performers. Your first job is to download and clean the web, sales, and search ad campaign data.
To clean the data properly, you must find and remove:
Outliers
Impossible values
Incorrect Values
Be careful though. Each data file will require different data-cleaning transformations.
Once you’ve completed your transformations, you’ll need to answer questions for the Analytics Report.
You’ll also have to recommend marketing budget allocations for search ad campaigns.
Objectives
You’ve been given access to three Buhi files, containing multiple sets of data:
Web data
Sales data
Search ad campaign data
You can access these datasets and explore their contents by downloading the attached zip file containing the corresponding CSV files. Open the CSV files in Microsoft Excel or Google Sheets.
Your first task is to clean the data by finding and removing outliers, impossible values, and incorrect values.
*You can clean the data manually or use formulas and functions to speed up the process. Make sure to check the Guides tab inside the Help menu in the top right corner. If you need help using formulas, watch the Excel tutorial videos.
Let’s Review the Process
Download and Clean the Data
To clean the data properly, you must find and remove:
Outliers
Impossible values
Incorrect values
Each dataset will require different data-cleaning transformations. You’ll come across different types of data in the web file than the sales file. Be sure to adjust your data-cleaning methods accordingly.
Upload Your Cleaned Files
Upload your cleaned file paying close attention to the existing data structures.
Answer Analytics Questions
You will answer a series of questions after you’ve cleaned each dataset. Then, you’ll come up with a new budget for search ad campaigns. This should be based on the calculated return on ad spend (ROAS).
Assignments
Assignment 1:
Landing Page – Conversions
Recent inconsistencies and errors in Buhi’s web data have made it hard to collect insightful information. You must clean the web data to move forward with your website analysis.
1 – Download Q1 Web Data
The web data contains the following data:
Conversions
2 – Perform Basic Data Transformations
Remove extreme outliers
Remove incorrect value formats (e.g., age = “twelve” instead of 12)
Remove impossible values (e.g., age = 203 or state = Canada)
Remove any date outside of Q1 2019 (e.g., date = 07/21/2019)
Note: To remove outliers, impossible values, and incorrect values, clear the individual cells, NOT entire rows. After clearing a cell, simply leave it empty.
3 – Upload Cleaned CSV Files
Accepted File Type(s): csv
File must contain 6 columns with the names: “ID”, “Landing Page”, “Date Range”, “Country”, “Ad Campaign Clicks”, “Converted Sales”
File must contain 390 rows (+- 10) .
Assignment 2 :
Landing Page – Traffic
Recent inconsistencies and errors in Buhi’s web data have made it hard to collect insightful information. You must clean the web data to move forward with your website analysis.
1 – Download Q1 Web Data
The web data contains the following data:
Traffic
2 – Perform Basic Data Transformations
Remove extreme outliers
Remove incorrect value formats (e.g., age = “twelve” instead of 12)
Remove impossible values (e.g., age = 203 or state = Canada)
Remove any date outside of Q1 2019 (e.g., date = 07/21/2019)
Note: To remove outliers, impossible values, and incorrect values, clear the individual cells, NOT entire rows. After clearing a cell, simply leave it empty.
3 – Upload Cleaned CSV Files: Accepted File Type(s): csv
File must contain 7 columns with the names: “ID”, “Landing Page”, “Date”, “Country”, “Organic Visits”, “Referral Visits”, “Direct Visits”
File must contain 390 rows (+- 10) .
ASSIGNMENTS 3:
Sales – January
Recent inconsistencies and errors in Buhi’s Sales report have made it hard to collect insightful information. You must clean the January sales data to move forward with your Q1 sales analysis.
1 – Download January Sales Data
The Q1 sales data contains the following data:
January product sales
2 – Perform Basic Data Transformations
Remove extreme outliers
Remove incorrect value formats (e.g., age = “twelve” instead of 12)
Remove impossible values (e.g., age = 203 or state = Canada)
Remove any date outside of Q1 2019 (e.g., date = 07/21/2019)
Note: To remove outliers, impossible values, and incorrect values, clear the individual cells, NOT entire rows. After clearing a cell, simply leave it empty.
3 – Upload Cleaned CSV Files
Upload January Sales Data
Accepted File Type(s): csv
File must contain 8 columns with the names: “ID”, “Name”, “Shipping Address State”, “Product Purchased”, “Order Number”, “Date of Purchase”, “Quantity of Item purchased”, “Price paid per item”
File must contain 1000 rows (+- 20) .
ASSIGNMENT 4
Sales – February
Recent inconsistencies and errors in Buhi’s Sales report have made it hard to collect insightful information. You must clean the February sales data to move forward with your Q1 sales analysis.
1 – Download February Sales Data
The Q1 sales data contains the following data:
February product sales
2 – Perform Basic Data Transformations
Remove extreme outliers
Remove incorrect value formats (e.g., age = “twelve” instead of 12)
Remove impossible values (e.g., age = 203 or state = Canada)
Remove any date outside of Q1 2019 (e.g., date = 07/21/2019)
Note: To remove outliers, impossible values, and incorrect values, clear the individual cells, NOT entire rows. After clearing a cell, simply leave it empty.
3 – Upload Cleaned CSV Files
Upload February Sales Data
Accepted File Type(s): csv
File must contain 8 columns with the names: “ID”, “Name”, “Shipping Address State”, “Product Purchased”, “Order Number”, “Date of Purchase”, “Quantity of Item purchased”, “Price paid per item”
File must contain 1000 rows (+- 20) .
ASSIGNMENT 5
Sales – March
Recent inconsistencies and errors in Buhi’s Sales report have made it hard to collect insightful information. You must clean the March sales data to move forward with your Q1 sales analysis.
1 – Download March Sales Data
The Q1 sales data contains the following data:
March product sales
2 – Perform Basic Data Transformations
Remove extreme outliers
Remove incorrect value formats (e.g., age = “twelve” instead of 12)
Remove impossible values (e.g., age = 203 or state = Canada)
Remove any date outside of Q1 2019 (e.g., date = 07/21/2019)
Note: To remove outliers, impossible values, and incorrect values, clear the individual cells, NOT entire rows. After clearing a cell, simply leave it empty.
3 – Upload Cleaned CSV Files
Upload March Sales Data
Accepted File Type(s): csv
File must contain 8 columns with the names: “ID”, “Name”, “Shipping Address State”, “Product Purchased”, “Order Number”, “Date of Purchase”, “Quantity of Item purchased”, “Price paid per item”
File must contain 1000 rows (+- 20) .
ASSIGNMENT 6
Search Ad Campaign
Recent inconsistencies and errors in Buhi’s search ad campaign data have made it hard to collect insightful information. You must clean the search ad campaign data to move forward with your analysis.
1 – Download Q1 Search Ad Campaign Data
The Q1 search ad campaign data contains the following data:
Weekly budget amount
Impressions
Clicks
Conversions
Revenue
2 – Perform Basic Data Transformations
Remove extreme outliers
Remove incorrect value formats (e.g., age = “twelve” instead of 12)
Remove impossible values (e.g., age = 203)
Remove any date outside of Q1 2019 (e.g., date = 07/21/2019)
3 – Upload Cleaned CSV File
Note: To remove outliers, impossible values, and incorrect values, clear the individual cells, NOT entire rows. After clearing a cell, simply leave it empty.
Upload Search Ad Campaign Data
Accepted File Type(s): csv
File must contain 10 columns with the names: “ID”, “Ad Campaign Name”, “Date”, “Budget allocated to campaign”, “Total impressions from the campaign”, “Total clicks”, “Total Cost”, “Total Conversions”, “Total Revenue”, “Cost Per Click”
File must contain 90 rows (+- 5) .
ASSIGNMENT 7
Analytics Report
Now that you’ve finished transforming the data, answer the questions below. Make sure to use the cleaned and transformed data for your calculations, rather than the original data files.
Analytics Questions – Basic Data Transformation
Answer the 10 questions below worth a total of 100 points.
In total, how many referral visits were there to all landing pages in Q1 2019?
Enter a whole number (ex. 1, 10, 100, 1000)
How many customers made their first purchase of the quarter in March?
Enter a whole number (ex. 1, 10, 100, 1000)
In total, how many organic visits were there to all landing pages in Q1 2019?
Enter a whole number (ex. 1, 10, 100, 1000)
Using total clicks and total sales by landing page for all of Q1 2019, which landing page had the highest conversion rate?
/backpack/medium/orange
/duffle/leather/blue
/bag/gym/black
/tote/canvas/white
How many items, in total, were purchased in the most recent month?
Enter a whole number (ex. 1, 10, 100, 1000)
Using total clicks and total conversions by campaign for all of Q1 2019, which search ad campaign had the highest conversion rate?
Duffle bags 20% off
Free shipping weekend
Womens bag clearance
New line of travel bags
Which search ad campaign had the highest total revenue in Q1 2019?
New line of travel bags
Backpack sale
Free shipping weekend
Womens bag clearance
Which search ad campaign had the highest total profits in Q1 2019? Your manager defines a search ad campaign’s profits as total revenue minus campaign cost.
Duffle bags 20% off
Free shipping weekend
Backpack sale
Womens bag clearance
Which search ad campaign had the highest total clicks in Q1 2019?
New line of travel bags
Free shipping weekend
Womens bag clearance
Backpack sale
Which search ad campaign had the highest return on ad spend (ROAS)? Your manager defines ROAS as a campaign’s revenue divided by its cost.
New line of travel bags
Free shipping weekend
Backpack sale
Womens bag clearance
ASSIGNMENT 8
Recommend Budget Allocation
Recommend marketing budget allocations for Buhi’s search ad campaigns based on your transformed data and the questions you answered.
Recommend Budget Allocations
Based on your decision, you will see a ROAS for next month’s search ad campaigns. If the data are perfectly cleaned and the budget is allocated wisely, you should see an optimal performance.
Use the boxes below to recommend budget allocations for the search ad campaigns. You must allocate the budget to at least two search ad campaigns. You can allocate a maximum of $5,000 to a single campaign.
Unformatted Attachment Preview
ID
Ad Campaign
Date
Name Budget allocated
Total Impressions
to campaign
Total clicks
fromTotal
the campaign
Cost Total Conversions
Total Revenue
37 Backpack sale
########
367
15808
124
344
60
1625
25 Free shipping1/8/2019
weekend
381
18340
377
338
38
2262
44 Duffle bags 20%
########
off
369
-8753
233
301
88
5116
23 Backpack sale
########
10545
15784
321
345
56
2068
34 Womens bag########
clearance
354
19677
128
343
68
5780
52 Backpack sale
########
400
18137
154
342
91
7792
41 Backpack sale
########
396
15322
206
341
57
2398
69 Womens bag########
clearance
395
12518
121 threehundred
77
4412
47 Womens bag########
clearance
356
14088
112
320
99
6015
38 New line of travel
########
bags
393
12470
111
320
75
2184
36 Free shipping
########
weekend
382
11296
236
-1645
78
5467
22 New line of travel
########
bags
378
16259
164 1212342
16
787
9 Backpack sale
########
372
11219
201
306
40
1652
81 Duffle bags 20%
########
off
377
15609
207
340
21
1263
73 Duffle bags 20%
1/4/2019
off
400 4487568
122
318
41
2495
24 Duffle bags 20%
3/1/2019
off
399
19963
221
300
62
2053
2 Free shipping
########
weekend
351
17684
317
349
32
2346
19 New line of travel
########
bags
378
11362
412
319
83
5658
82 Backpack sale
########
400
15366
-55
303
12
924
18 Backpack sale
########
364
19743
344
332
50
3175
79 New line of travel
########
bags
377
14176
385
347
39
1348
56 Backpack sale
########
350
15697
121
-32
12
690
84 Free shipping3/7/2019
weekend
369
13188
342
320
89
3556
27 New line of travel
2/9/2019
bags
355
11344
473
348
47
2743
28 Free shipping3/1/2019
weekend
386
13106
154
303
7795
1655
68 Womens bag########
clearance
400
12698
122
320
69
3641
53 Backpack sale
########
997
17205
211
336
38
2933
62 New line of travel
########
bags
373
17638
233
344
90
4117
72 Free shipping3/1/2019
weekend
365
10255
322
315
85
4771
21 Backpack sale3/1/2019
372
16721
239
323
43
2064
65 Free shipping3/6/2019
weekend
363
14492
245
329
25
956
4 Free shipping
########
weekend
369
758988
198
343
66
3376
71 Duffle bags 20%
########
off
353
11979
287
326
29
1062
40 Backpack sale1/5/2019
389
11144
312
339
37
2716
57 Backpack sale3/8/2019
362
15320
387
337
39
2903
20 Womens bag########
clearance
379
16677
455
332
57
4633
83 Backpack sale
########
14333
13177
214 null
74
4309
35 Backpack sale
########
361
11590
205
328
51
1720
10 Backpack sale
########
387
10599
243
340
95
3128
89 Womens bag########
clearance
366
19977
194
304
55
1546
33 New line of travel
2/6/2019
bags
372
335879
311
342
75
4575
16 Backpack sale3/3/2019
383
10360
248
314
25
1959
55 Free shipping
########
weekend
400
15294
167
348
17
1152
17 New line of travel
3/7/2019
bags
400
19513
465
347
47 34556232
66 Duffle bags 20%
2/3/2019
off
353
18968
236
300
49
2308
46 Free shipping
########
weekend
374
13930
411
348
78
5735
88 Free shipping3/9/2019
weekend
29 Duffle bags 20%
########
off
50 New line of travel
########
bags
59 Womens bag########
clearance
58 Womens bag########
clearance
85 Free shipping
########
weekend
7 Womens bag3/3/2019
clearance
74 Duffle bags 20%
########
off
75 Backpack sale3/3/2019
78 Backpack sale3/7/2019
13 Backpack sale
########
67 New line of travel
########
bags
12 Duffle bags 20%
########
off
11 New line of travel
########
bags
80 Backpack sale
########
86 Backpack sale
########
6 Free shipping
########
weekend
1 New line of travel
########
bags
87 Free shipping
########
weekend
43 Backpack sale3/9/2019
14 New line of travel
########
bags
60 Womens bag########
clearance
70 Womens bag########
clearance
49 Womens bag########
clearance
5 Free shipping
########
weekend
26 Free shipping
########
weekend
30 Backpack sale
########
8 Womens bag1/5/2019
clearance
63 Backpack sale3/3/2019
51 New line of travel
3/9/2019
bags
39 New line of travel
########
bags
76 Duffle bags 20%
########
off
54 New line of travel
########
bags
15 Backpack sale
########
90 Backpack sale
########
42 New line of travel
########
bags
64 Duffle bags 20%
########
off
45 Free shipping1/1/2019
weekend
3 Free shipping
########
weekend
31 New line of travel
3/9/2019
bags
61 Backpack sale
########
77 Womens bag########
clearance
32 Duffle bags 20%
2/2/2019
off
48 New line of travel
########
bags
376
364
357
365
375
377
357
364
395
368
356
366
362
398
381
350
377
391
392
368
391
372
378
384
365
354
386
396
45988
368
-43
369
383
377
379
389
370
355
372
378
396
367
363
363
19295
10116
15039
17314
10749
1
15826
15977
17325
13820
19028
18117
-54
13178
16845
16046
19719
15735
11228
15309
16317
18386
10929
14433
14409
14929
13176
12360
16764
15706
15168
18611
19716
10777
18267
10497
17070
13869
19408
18348
12237
15599
11783
15443
176
187
945237
160
209
211
233
143
73546
243
282
322
228
158
278
321
544
321
121
375
-2
152
343
301
324
144
-66
289
129
142
109
310
231
189
291
296
302
292
214
165
245
274
125
199
333
329
304
302
344
313
308
339
333
321
321
312
336
341
326
333
99121
331
332
333
339
311
345
314
318
337
346
330
334
305
349
305
303
347
324
306
322
330
315
330
314
303
309
325
81
-12
39
2964
-755
3256
16
944
97
4825
68
4074
51
3392
85
4330
-342
890
95
4655
28
2030
55
2289
85
5519
89
2921
43
3303
83
6533
97
3593
77
5390
72
1882
38 twelvehundredthirtyfour
5344
2133
15
1140
34
2778
95
3591
42
1946
14
778
33545
2012
83
4560
13
464
36
1044
46
3069
31
1519
47
3611
19
1625
29
2590
30
947
60
2468
29
759
21
765455
38
1131
41
1823
27
1918
43
1775
69
2010
Cost Per Click
$2.77
$0.90
$1.29
$1.07
$2.68
$2.22
$1.66
($87.00)
$2.86
$2.88
($6.97)
########
$1.52
$1.64
$2.61
$1.36
$1.10
$0.77
($5.51)
$0.97
$0.90
($0.26)
$0.94
$0.74
$1.97
$2.62
$1.59
$1.48
$0.98
$1.35
$1.34
$1.73
$1.14
$1.09
$0.87
$0.73
null
$1.60
$1.40
$1.57
$1.10
$1.27
$2.08
$0.75
$1.27
$0.85
$1.89
$1.76
null
$1.89
$1.65
$1.48
$1.32
$2.37
($16.00)
$1.32
$1.14
$0.97
$1.47
$2.16
$1.17
$1.04
$182.21
$1.03
$2.74
$0.89
($169.50)
$2.05
$1.01
$1.04
$0.98
$2.34
($5.24)
$1.14
$2.59
$2.15
$3.20
$0.98
$1.31
$1.84
$1.11
$1.03
$1.07
$1.13
$1.47
$2.00
$1.28
$1.11
$2.47
$1.63
ID
Landing Page
Date RangeCountry Ad Campaign
Converted
Clicks Sales
1145 /backpack/canvas/white
01/29/2019USA
– 02/04/2019
630
108
1212 /backpack/medium/orange
02/19/2019USA
– 02/25/2019 1142
176
1165 /duffle/canvas/orange
02/05/2019USA
– 02/11/2019 1313
140
1292 /bag/gym/black
03/05/2019USA
– 03/11/2019 1125
80
1119 /backpack/striped/pink
01/22/2019USA
– 01/28/2019 1576
176
1060 /backpack/canvas/black
01/08/2019USA
– 01/14/2019
881
168
1004 /messenger/medium/brown
01/01/2019USA
– 01/07/2019 1041
36
1186 /tote/large/red
02/12/2019USA
– 02/18/2019
935
129
1311 /pouch/leather/red
03/12/2019USA
– 03/18/2019 1191
153
1015 /duffle/canvas/orange
01/01/2019USA
– 01/07/2019 1174
104
1209 /backpack/striped/pink
02/12/2019USA
– 02/18/2019
728
48
1301 /tote/canvas/pink
03/12/2019USA
– 03/18/2019
648
120
1049 /pouch/canvas/black
01/08/2019USA
– 01/14/2019
917
129
1055 /backpack/canvas/white
01/08/2019USA
– 01/14/2019 1065
44
1190 /wallet/medium/brown
02/12/2019USA
– 02/18/2019
820
47
1021 /backpack/medium/gray
01/01/2019USA
– 01/07/2019 1231
98
1384 /backpack/striped/blue
03/26/2019USA
– 03/31/2019 1331
124
1072 /duffle/leather/red
01/15/2019USA
– 01/21/2019 1025
52
1366 /tote/large/red
03/26/2019USA
– 03/31/2019 1450
143
1040 /wallet/medium/brown
01/08/2019USA
– 01/14/2019
587
32
1094 /messenger/medium/brown
01/22/2019USA
– 01/28/2019 1429
111
1338 /wallet/leather/black
03/19/2019USA
– 03/25/2019 1054
65
1140 /duffle/leather/blue
01/29/2019USA
– 02/04/2019 1533
172
1148 /backpack/striped/gray
01/29/2019USA
– 02/04/2019 1436
82
1085 /backpack/canvas/white
01/15/2019USA
– 01/21/2019
629
141
1236 /messenger/striped/red
02/19/2019USA
– 02/25/2019
776
55
1027 /bag/striped/brown
01/01/2019USA
– 01/07/2019
689
30
1002 /backpack/medium/orange
01/01/2019USA
– 01/07/2019
755
157
1063 /pouch/medium/red
01/15/2019USA
– 01/21/2019
721
171
1142 /bag/gym/black
01/29/2019USA
– 02/04/2019 1072
83
1329 /backpack/striped/pink
03/12/2019USA
– 03/18/2019
600
160
1099 /tote/canvas/white
01/22/2019USA
– 01/28/2019
1A2
27
1177 /bag/striped/brown
02/05/2019USA
– 02/11/2019 1454
155
1359 /backpack/striped/pink
03/19/2019USA
– 03/25/2019 1423
125
1276 /tote/large/red
03/05/2019USA
– 03/11/2019 1493
49
1036 /tote/large/red
01/08/2019USA
– 01/14/2019 1261
52
1201 /backpack/medium/gray
02/12/2019USA
– 02/18/2019 1681
60
1390 /backpack/canvas/black
03/26/2019USA
– 03/31/2019 1510
171
1379 /pouch/canvas/black
03/26/2019USA
– 03/31/2019 1022
40
1130 /wallet/medium/brown
01/29/2019USA
– 02/04/2019 1117
43
1176 /messenger/striped/red
02/05/2019USA
– 02/11/2019 1418
40
1005 /bag/gym/blue
01/01/2019USA
– 01/07/2019
533
95
1219 /tote/canvas/white
02/19/2019USA
– 02/25/2019 1123
88
1057 /bag/striped/brown
01/08/2019USA
– 01/14/2019 1077
138
1342 /duffle/leather/red
03/19/2019USA
– 03/25/2019 1194
64
1324 /backpack/striped/blue
03/12/2019USA
– 03/18/2019
776
38
1034 /messenger/medium/brown
01/08/2019USA
– 01/14/2019
1193 /duffle/medium/pink
02/12/2019USA
– 02/18/2019
1262 /bag/gym/black
02/26/2019USA
– 03/04/2019
1288 /backpack/gym/pink
03/05/2019USA
– 03/11/2019
1032 /backpack/medium/orange
01/08/2019USA
– 01/14/2019
1115 /backpack/canvas/white
01/22/2019USA
– 01/28/2019
1361 /tote/canvas/pink
03/26/2019USA
– 03/31/2019
1266 /messenger/striped/red
02/26/2019USA
– 03/04/2019
1163 /duffle/medium/pink
02/05/2019USA
– 02/11/2019
1300 /backpack/canvas/black
03/05/2019USA
– 03/11/2019
1046 /wallet/gym/blue
01/08/2019USA
– 01/14/2019
1124 /messenger/medium/brown
01/29/2019USA
– 02/04/2019
1081 /backpack/medium/gray
01/15/2019USA
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03/19/2019USA
– 03/25/2019
1172 /bag/gym/black
02/05/2019USA
– 02/11/2019
1064 /messenger/medium/brown
01/15/2019USA
– 01/21/2019
1141 /backpack/medium/gray
01/29/2019USA
– 02/04/2019
1080 /duffle/leather/blue
01/15/2019USA
– 01/21/2019
1014 /backpack/leather/orange
01/01/2019USA
– 01/07/2019
1235 /backpack/canvas/white
02/19/2019USA
– 02/25/2019
1100 /wallet/medium/brown
01/22/2019USA
– 01/28/2019
1073 /duffle/medium/pink
01/15/2019USA
– 01/21/2019
1107 /travel/leather/black
01/22/2019USA
– 01/28/2019
1199 /pouch/canvas/black
02/12/2019USA
– 02/18/2019
###
1281 /pouch/leather/red
03/05/2019USA
– 03/11/2019
1340 /wallet/medium/brown
03/19/2019USA
– 03/25/2019
1250 /wallet/medium/brown
02/26/2019USA
– 03/04/2019
null
1283 /duffle/medium/pink
03/05/2019USA
– 03/11/2019
1175 /backpack/canvas/white
02/05/2019USA
– 02/11/2019
1298 /backpack/striped/gray
03/05/2019USA
– 03/11/2019
1319 /pouch/canvas/black
03/12/2019USA
– 03/18/2019
1155 /bag/gym/blue
02/05/2019USA
– 02/11/2019
1233 /tote/large/gray
02/19/2019USA
– 02/25/2019
1244 /messenger/medium/brown
02/26/2019USA
– 03/04/2019
1215 /bag/gym/blue
02/19/2019USA
– 02/25/2019
1286 /wallet/gym/blue
03/05/2019USA
– 03/11/2019
1024 /backpack/striped/blue
01/01/2019USA
– 01/07/2019
1043 /duffle/medium/pink
01/08/2019USA
– 01/14/2019
1066 /tote/large/red
01/15/2019USA
– 01/21/2019
1133 /duffle/medium/pink
01/29/2019USA
– 02/04/2019
1385 /backpack/canvas/white
03/37/2059USA
– 03/47/2059
1178 /backpack/striped/gray
02/05/2019USA
– 02/11/2019
1060
1165
1319
1726
1642
1179
1412
1085
1520
540
797
1420
635
1017
576
837
778
1592
1044
1757
983
952
1522
1059
1135
865
990
1247
1629
1240
543
1228
787
614
1415
952
790
1544
1150
655
773
1151
588
1715
631
60
71
63
29
116
90
176
78
170
142
179
132
141
110
29
153
40
159
59
126
72
163
43
31
42
96
111
146
115
151
111
170
37
151
146
140
112
87
172
166
123
67
53
123
108
61
52
1247 /backpack/leather/brown
02/26/2019USA
– 03/04/2019 1327
60
1237 /bag/striped/brown
02/19/2019USA
– 02/25/2019
758
159
1016 /wallet/gym/blue
01/01/2019USA
– 01/07/2019 1145
54
1214 /messenger/medium/brown
02/19/2019USA
– 02/25/2019
693
115
1102 /duffle/leather/red
01/22/2019USA
– 01/28/2019 1614
31
1076 /wallet/gym/blue
01/15/2019USA
– 01/21/2019 1709
75
1187 /backpack/leather/brown
02/12/2019USA
– 02/18/2019
604
151
1374 /backpack/leather/orange
03/26/2019USA
– 03/31/2019
619
152
1071 /pouch/leather/red
01/15/2019USA
– 01/21/2019 1548
170
1160 /wallet/medium/brown
02/05/2019USA
– 02/11/2019 1517
115
1372 /duffle/leather/red
03/26/2019USA
– 03/31/2019 1714
99
1047 /travel/leather/black
01/08/2019USA
– 01/14/2019
717
28
1082 /bag/gym/black
01/15/2019USA
– 01/21/2019 1138
39
1136 /wallet/gym/blue
01/29/2019USA
– 02/04/2019
571
135
1343 /duffle/medium/pink
03/19/2019USA
– 03/25/2019 1290
47
1248 /wallet/leather/black
02/26/2019USA
– 03/04/2019 1568
98
1257 /travel/leather/black
02/26/2019USA
– 03/04/2019 1348
161
1280 /wallet/medium/brown
03/05/2019USA
– 03/11/2019 1094
123
1360 /backpack/canvas/black
03/19/2019USA
– 03/25/2019 1071
76
1037 /backpack/leather/brown
01/08/2019USA
– 01/14/2019 1181
125
1013 /duffle/medium/pink
01/01/2019USA
– 01/07/2019 1195
176
1121 /tote/canvas/pink
01/29/2019USA
– 02/04/2019
641
133
1382 /bag/gym/black
03/26/2019USA
– 03/31/2019
931
119
1008 /wallet/leather/black
01/01/2019USA
– 01/07/2019 1019
54
1376 /wallet/gym/blue
03/26/2019USA
– 03/31/2019
836
39
1355 /backpack/canvas/white
03/19/2019USA
– 03/25/2019 1233
64
1012 /duffle/leather/red
01/01/2019USA
– 01/07/2019
836
57
1079 /pouch/canvas/black
01/15/2019USA
– 01/21/2019 1185
68
1197 /travel/leather/black
02/12/2019USA
– 02/18/2019 1600
64
1327 /bag/striped/brown
03/12/2019USA
– 03/18/2019 1029
20
1157 /backpack/leather/brown
02/05/2019USA
– 02/11/2019
876
53
1387 /bag/striped/brown
03/45/2119USA
– 03/52/2119 1483
77
1135 /duffle/canvas/orange
01/29/2019USA
– 02/04/2019 1094
157
1029 /backpack/striped/pink
01/01/2019USA
– 01/07/2019 1527
-120
1332 /backpack/medium/orange
03/19/2019USA
– 03/25/2019
6BF
115
1335 /bag/gym/blue
03/19/2019USA
– 03/25/2019 1751
61
1128 /wallet/leather/black
01/29/2019USA
– 02/04/2019
780
30
1371 /pouch/leather/red
03/26/2019null
– 03/31/2019 1548 null
1152 /backpack/medium/orange
02/05/2019USA
– 02/11/2019 1295
26
1228 /backpack/gym/pink
02/19/2019USA
– 02/25/2019 1012
74
1083 /tote/large/gray
01/15/2019USA
– 01/21/2019
940
35
1363 /pouch/medium/red
03/26/2019USA
– 03/31/2019
555
62
1326 /messenger/striped/red
03/12/2019USA
– 03/18/2019
701
40
1096 /tote/large/red
01/22/2019USA
– 01/28/2019 1332
33
1226 /wallet/gym/blue
02/19/2019USA
– 02/25/2019 1619
88
1167 /travel/leather/black
02/05/2019USA
– 02/11/2019 1035
64
1386 /messenger/striped/red
03/26/2019USA
– 03/31/2019 190330
129
1019 /pouch/canvas/black
01/01/2019USA
– 01/07/2019
1104 /backpack/leather/orange
01/22/2019USA
– 01/28/2019
1075 /duffle/canvas/orange
01/15/2019USA
– 01/21/2019
1314 /backpack/leather/orange
03/12/2019USA
– 03/18/2019
1303 /pouch/medium/red
03/12/2019USA
– 03/18/2019
1287 /travel/leather/black
03/05/2019USA
– 03/11/2019
1320 /duffle/leather/blue
03/12/2019USA
– 03/18/2019
1169 /pouch/canvas/black
02/05/2019UUU
– 02/11/2019
1331 /tote/canvas/pink
03/19/2019USA
– 03/25/2019
1150 /backpack/canvas/black
01/29/2019USA
– 02/04/2019
1261 /backpack/medium/gray
02/26/2019USA
– 03/04/2019
1218 /wallet/leather/black
02/19/2019USA
– 02/25/2019
1365 /bag/gym/blue
03/26/2019USA
– 03/31/2019
1210 /backpack/canvas/black
02/12/2019USA
– 02/18/2019
1095 /bag/gym/blue
01/22/2019USA
– 01/28/2019
1633
1146
1459
795
521
1399
1446
1664
710
1186
1324
840
854
1364
1081
44
126
125
162
144
23
80
116
124
29
152
116
39
85
174
ID
Landing Page
Date
Country Organic Visits
Referral Visits
Direct Visits
6 /tote/large/red
01/01/2019USA
– 01/07/2019
836
1029
344
290 /duffle/leather/blue
03/05/2019USA
– 03/11/2019
762
1134
372
234 /backpack/striped/blue
02/19/2019USA
– 02/25/2019
247
183
216
219 /tote/canvas/white
02/19/2019USA
– 02/25/2019
196
624
192
387 /bag/striped/brown
03/26/2019USA
– 03/31/2019
547
720
152
388 /backpack/striped/gray
03/26/2019USA
– 03/31/2019
43
415
491
111 /backpack/medium/gray
01/22/2019USA
– 01/28/2019
776
1214
122
125 /bag/gym/blue
01/29/2019USA
– 02/04/2019
551
1183
227
243 /pouch/medium/red
02/26/2019USA
– 03/04/2019
547
1025
217
76 /wallet/gym/blue
01/15/2019USA
– 01/21/2019
406
882
126
345 /duffle/canvas/orange
03/19/2019USA
– 03/25/2019
758
468
363
60 /backpack/canvas/black
01/08/2019USA
– 01/14/2019
274
1994
83
171 /backpack/medium/gray
02/05/2019
– 02/11/2019
176
795
64
265 /backpack/canvas/white
02/26/2019USA
– 03/04/2019
415
967
128
167 /travel/leather/black
02/05/2019USA
– 02/11/2019
458
1595
315
385 /backpack/canvas/white
03/26/2019USA
– 03/31/2019
708
206
369
38 /wallet/leather/black
01/08/2019USA
– 01/14/2019
431
346
262
87 /bag/striped/brown
01/15/2019USA
– 01/21/2019
202
1409
44
276 /tote/large/red
03/05/2019USA
– 03/11/2019
421
1534
175
11 /pouch/leather/red
01/01/2019USA
– 01/07/2019
761
1932
132
355 /backpack/canvas/white
03/19/2019USA
– 03/25/2019
464
87
133
169 /pouch/canvas/black
02/05/2019USA
– 02/11/2019
366
1920
299
80 /duffle/leather/blue
01/15/2019USA
– 01/21/2019
947
298
479
240 /backpack/canvas/black
02/19/2019USA
– 02/25/2019
508
82
278
289 /pouch/canvas/black
03/05/2019USA
– 03/11/2019
48
1617
304
44 /backpack/leather/orange
21/08/2019URA
– 21/14/2019
761
695
499
307 /backpack/leather/brown
03/12/2019USA
– 03/18/2019
635
347
250
58 /backpack/striped/gray
01/08/2019USA
– 01/14/2019
885
331
432
153 /pouch/medium/red
02/05/2019USA
– 02/11/2019
855
82
446
340 /wallet/medium/brown
03/19/2019USA
– 03/25/2019
610
1768
413
329 /backpack/striped/pink
03/12/2019USA
– 03/18/2019
626
261
182
103 /duffle/medium/pink
01/22/2019USA
– 01/28/2019
629
272
4
72 /duffle/leather/red
01/15/2019USA
– 01/21/2019
267
675
414
251 /pouch/leather/red
02/26/2019USA
– 03/04/2019
489
395
344
370 /wallet/medium/brown
03/26/2019USA
– 03/31/2019
912
149
-312
174 /backpack/striped/blue
02/05/2019USA
– 02/11/2019
148
1529
96
48 /backpack/gym/pink
01/08/2019USA
– 01/14/2019
327
1838
222
173 /tote/large/gray
01/08/2019USA
– 04/14/2019
549
740
273
352 /bag/gym/black
03/19/2019USA
– 03/25/2019
587
988
39
214 /messenger/medium/brown
02/19/2019USA
– 02/25/2019
479
1519
46
225 /duffle/canvas/orange
02/19/2019USA
– 02/25/2019
789
558
391
326 /messenger/striped/red
03/12/2019USA
– 03/18/2019
69
914
237
90 /backpack/canvas/black
01/15/2019USA
– 01/21/2019
365
1333
490
207 /bag/striped/brown
02/12/2019USA
– 02/18/2019
558
36
396
306 /tote/large/red
03/12/2019USA
– 03/18/2019
151
449
289
267 /bag/striped/brown
02/26/2019USA
– 03/04/2019
386
611
437
28 /backpack/striped/gray
01/01/2019USA
– 01/07/2019
218 /wallet/leather/black
02/19/2019USA
– 02/25/
