blob: 6186308f8555cbc8cbb36e219add8ed6df5cc7b4 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
|
<?xml version="1.0" encoding="utf-8" ?>
<result>
<nb_uniq_visitors>34</nb_uniq_visitors>
<nb_users>1</nb_users>
<nb_visits>34</nb_visits>
<nb_actions>37</nb_actions>
<nb_visits_converted>32</nb_visits_converted>
<bounce_count>32</bounce_count>
<sum_visit_length>305</sum_visit_length>
<max_actions>3</max_actions>
<bounce_rate>94%</bounce_rate>
<nb_actions_per_visit>1.1</nb_actions_per_visit>
<avg_time_on_site>9</avg_time_on_site>
<comparisons>
<row>
<nb_uniq_visitors>34</nb_uniq_visitors>
<nb_users>1</nb_users>
<nb_visits>34</nb_visits>
<nb_actions>37</nb_actions>
<nb_visits_converted>32</nb_visits_converted>
<bounce_count>32</bounce_count>
<sum_visit_length>305</sum_visit_length>
<max_actions>3</max_actions>
<bounce_rate>94%</bounce_rate>
<nb_actions_per_visit>1.1</nb_actions_per_visit>
<avg_time_on_site>9</avg_time_on_site>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>month</comparePeriod>
<compareDate>2012-08-09</compareDate>
<comparePeriodPretty>August 2012</comparePeriodPretty>
<compareSeriesPretty>(August 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_uniq_visitors>8</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>8</nb_visits>
<nb_actions>8</nb_actions>
<nb_visits_converted>8</nb_visits_converted>
<bounce_count>8</bounce_count>
<sum_visit_length>0</sum_visit_length>
<max_actions>1</max_actions>
<bounce_rate>100%</bounce_rate>
<nb_actions_per_visit>1</nb_actions_per_visit>
<avg_time_on_site>0</avg_time_on_site>
<nb_uniq_visitors_change>-76.5%</nb_uniq_visitors_change>
<nb_uniq_visitors_change_from>+325%</nb_uniq_visitors_change_from>
<nb_users_change>-100%</nb_users_change>
<nb_users_change_from>+100%</nb_users_change_from>
<nb_visits_change>-76.5%</nb_visits_change>
<nb_visits_change_from>+325%</nb_visits_change_from>
<nb_actions_change>-78.4%</nb_actions_change>
<nb_actions_change_from>+362.5%</nb_actions_change_from>
<nb_visits_converted_change>-75%</nb_visits_converted_change>
<nb_visits_converted_change_from>+300%</nb_visits_converted_change_from>
<bounce_count_change>-75%</bounce_count_change>
<bounce_count_change_from>+300%</bounce_count_change_from>
<sum_visit_length_change>-100%</sum_visit_length_change>
<sum_visit_length_change_from>+100%</sum_visit_length_change_from>
<max_actions_change>-66.7%</max_actions_change>
<max_actions_change_from>+200%</max_actions_change_from>
<bounce_rate_change>+6.4%</bounce_rate_change>
<bounce_rate_change_from>-6%</bounce_rate_change_from>
<nb_actions_per_visit_change>-9.1%</nb_actions_per_visit_change>
<nb_actions_per_visit_change_from>+10%</nb_actions_per_visit_change_from>
<avg_time_on_site_change>-100%</avg_time_on_site_change>
<avg_time_on_site_change_from>+100%</avg_time_on_site_change_from>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-10</compareDate>
<comparePeriodPretty>Friday, August 10, 2012</comparePeriodPretty>
<compareSeriesPretty>(Friday, August 10, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_uniq_visitors>3</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>3</nb_visits>
<nb_actions>3</nb_actions>
<nb_visits_converted>3</nb_visits_converted>
<bounce_count>3</bounce_count>
<sum_visit_length>0</sum_visit_length>
<max_actions>1</max_actions>
<bounce_rate>100%</bounce_rate>
<nb_actions_per_visit>1</nb_actions_per_visit>
<avg_time_on_site>0</avg_time_on_site>
<nb_uniq_visitors_change>-91.2%</nb_uniq_visitors_change>
<nb_uniq_visitors_change_from>+1,033.3%</nb_uniq_visitors_change_from>
<nb_users_change>-100%</nb_users_change>
<nb_users_change_from>+100%</nb_users_change_from>
<nb_visits_change>-91.2%</nb_visits_change>
<nb_visits_change_from>+1,033.3%</nb_visits_change_from>
<nb_actions_change>-91.9%</nb_actions_change>
<nb_actions_change_from>+1,133.3%</nb_actions_change_from>
<nb_visits_converted_change>-90.6%</nb_visits_converted_change>
<nb_visits_converted_change_from>+966.7%</nb_visits_converted_change_from>
<bounce_count_change>-90.6%</bounce_count_change>
<bounce_count_change_from>+966.7%</bounce_count_change_from>
<sum_visit_length_change>-100%</sum_visit_length_change>
<sum_visit_length_change_from>+100%</sum_visit_length_change_from>
<max_actions_change>-66.7%</max_actions_change>
<max_actions_change_from>+200%</max_actions_change_from>
<bounce_rate_change>+6.4%</bounce_rate_change>
<bounce_rate_change_from>-6%</bounce_rate_change_from>
<nb_actions_per_visit_change>-9.1%</nb_actions_per_visit_change>
<nb_actions_per_visit_change_from>+10%</nb_actions_per_visit_change_from>
<avg_time_on_site_change>-100%</avg_time_on_site_change>
<avg_time_on_site_change_from>+100%</avg_time_on_site_change_from>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>week</comparePeriod>
<compareDate>2012-08-16</compareDate>
<comparePeriodPretty>Week August 13 – 19, 2012</comparePeriodPretty>
<compareSeriesPretty>(Week August 13 – 19, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
</comparisons>
</result>
|
