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|
<?xml version="1.0" encoding="utf-8" ?>
<result>
<website>Piwik test</website>
<prettyDate>August 9 – 16, 2012</prettyDate>
<metadata>
<category>Visitors</category>
<subcategory>Overview</subcategory>
<name>Visits Summary</name>
<module>VisitsSummary</module>
<action>get</action>
<documentation>This report provides a very general overview of how your visitors behave.</documentation>
<metrics>
<nb_uniq_visitors>Unique visitors</nb_uniq_visitors>
<nb_visits>Visits</nb_visits>
<nb_users>Users</nb_users>
<nb_actions>Actions</nb_actions>
<max_actions>Maximum actions in one visit</max_actions>
</metrics>
<metricsDocumentation>
<nb_uniq_visitors>The number of unduplicated visitors coming to your website. Every user is only counted once, even if they visit the website multiple times a day.</nb_uniq_visitors>
<nb_visits>If a visitor comes to your website for the first time or if they visit a page more than 30 minutes after their last page view, this will be recorded as a new visit.</nb_visits>
<nb_users>The number of users logged in your website. It is the number of unique active users that have a User ID set (via the Tracking code function 'setUserId').</nb_users>
<nb_actions>The number of actions performed by your visitors. Actions can be page views, internal site searches, downloads or outlinks.</nb_actions>
<bounce_rate>The percentage of visits that only had a single pageview. This means, that the visitor left the website directly from the entrance page.</bounce_rate>
<nb_actions_per_visit>The average number of actions (page views, site searches, downloads or outlinks) that were performed during the visits.</nb_actions_per_visit>
<avg_time_on_site>The average duration of a visit.</avg_time_on_site>
</metricsDocumentation>
<processedMetrics>
<bounce_rate>Bounce Rate</bounce_rate>
<nb_actions_per_visit>Actions per Visit</nb_actions_per_visit>
<avg_time_on_site>Avg. Visit Duration (in seconds)</avg_time_on_site>
</processedMetrics>
<imageGraphUrl>index.php?module=API&method=ImageGraph.get&idSite=1&apiModule=VisitsSummary&apiAction=get&period=day&date=2012-08-09,2012-08-16</imageGraphUrl>
<imageGraphEvolutionUrl>index.php?module=API&method=ImageGraph.get&idSite=1&apiModule=VisitsSummary&apiAction=get&period=day&date=2012-08-09,2012-08-16</imageGraphEvolutionUrl>
<uniqueId>VisitsSummary_get</uniqueId>
</metadata>
<columns>
<nb_uniq_visitors>Unique visitors</nb_uniq_visitors>
<nb_visits>Visits</nb_visits>
<nb_users>Users</nb_users>
<nb_actions>Actions</nb_actions>
<max_actions>Maximum actions in one visit</max_actions>
<bounce_rate>Bounce Rate</bounce_rate>
<nb_actions_per_visit>Actions per Visit</nb_actions_per_visit>
<avg_time_on_site>Avg. Visit Duration (in seconds)</avg_time_on_site>
</columns>
<reportData>
<result prettyDate="Thursday, August 9, 2012">
<nb_uniq_visitors>11</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>11</nb_visits>
<nb_actions>11</nb_actions>
<max_actions>1</max_actions>
<nb_actions_per_visit>1</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>100%</bounce_rate>
<comparisons>
<row>
<nb_uniq_visitors>11</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>11</nb_visits>
<nb_actions>11</nb_actions>
<max_actions>1</max_actions>
<nb_actions_per_visit>1</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>100%</bounce_rate>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-09</compareDate>
<comparePeriodPretty>Thursday, August 9, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 9 – 16, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>0</nb_visits>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors_change>-100%</nb_uniq_visitors_change>
<nb_users_change>+0%</nb_users_change>
<nb_visits_change>-100%</nb_visits_change>
<nb_actions_change>-100%</nb_actions_change>
<max_actions_change>-100%</max_actions_change>
<nb_actions_per_visit_change>-100%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<bounce_rate_change>-100%</bounce_rate_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-12</compareDate>
<comparePeriodPretty>Sunday, August 12, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 12 – 15, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
</comparisons>
</result>
<result prettyDate="Friday, August 10, 2012">
<nb_uniq_visitors>8</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>8</nb_visits>
<nb_actions>8</nb_actions>
<max_actions>1</max_actions>
<nb_actions_per_visit>1</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>100%</bounce_rate>
<comparisons>
<row>
<nb_uniq_visitors>8</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>8</nb_visits>
<nb_actions>8</nb_actions>
<max_actions>1</max_actions>
<nb_actions_per_visit>1</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>100%</bounce_rate>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-10</compareDate>
<comparePeriodPretty>Friday, August 10, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 9 – 16, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>0</nb_visits>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors_change>-100%</nb_uniq_visitors_change>
<nb_users_change>+0%</nb_users_change>
<nb_visits_change>-100%</nb_visits_change>
<nb_actions_change>-100%</nb_actions_change>
<max_actions_change>-100%</max_actions_change>
<nb_actions_per_visit_change>-100%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<bounce_rate_change>-100%</bounce_rate_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-13</compareDate>
<comparePeriodPretty>Monday, August 13, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 12 – 15, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
</comparisons>
</result>
<result prettyDate="Saturday, August 11, 2012">
<nb_uniq_visitors>11</nb_uniq_visitors>
<nb_users>1</nb_users>
<nb_visits>11</nb_visits>
<nb_actions>14</nb_actions>
<max_actions>3</max_actions>
<nb_actions_per_visit>1.3</nb_actions_per_visit>
<avg_time_on_site>00:00:28</avg_time_on_site>
<bounce_rate>82%</bounce_rate>
<comparisons>
<row>
<nb_uniq_visitors>11</nb_uniq_visitors>
<nb_users>1</nb_users>
<nb_visits>11</nb_visits>
<nb_actions>14</nb_actions>
<max_actions>3</max_actions>
<nb_actions_per_visit>1.3</nb_actions_per_visit>
<avg_time_on_site>00:00:28</avg_time_on_site>
<bounce_rate>82%</bounce_rate>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-11</compareDate>
<comparePeriodPretty>Saturday, August 11, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 9 – 16, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>0</nb_visits>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors_change>-100%</nb_uniq_visitors_change>
<nb_users_change>-100%</nb_users_change>
<nb_visits_change>-100%</nb_visits_change>
<nb_actions_change>-100%</nb_actions_change>
<max_actions_change>-100%</max_actions_change>
<nb_actions_per_visit_change>-100%</nb_actions_per_visit_change>
<avg_time_on_site_change>-100%</avg_time_on_site_change>
<bounce_rate_change>-100%</bounce_rate_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-14</compareDate>
<comparePeriodPretty>Tuesday, August 14, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 12 – 15, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
</comparisons>
</result>
<result prettyDate="Sunday, August 12, 2012">
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<bounce_rate>0%</bounce_rate>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<comparisons>
<row>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-12</compareDate>
<comparePeriodPretty>Sunday, August 12, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 9 – 16, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_uniq_visitors>2</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>2</nb_visits>
<nb_actions>2</nb_actions>
<max_actions>1</max_actions>
<nb_actions_per_visit>1</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>100%</bounce_rate>
<nb_uniq_visitors_change>+100%</nb_uniq_visitors_change>
<nb_users_change>+0%</nb_users_change>
<nb_visits_change>+100%</nb_visits_change>
<nb_actions_change>+100%</nb_actions_change>
<max_actions_change>+100%</max_actions_change>
<nb_actions_per_visit_change>+100%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<bounce_rate_change>+100%</bounce_rate_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-15</compareDate>
<comparePeriodPretty>Wednesday, August 15, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 12 – 15, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
</comparisons>
</result>
<result prettyDate="Monday, August 13, 2012">
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<bounce_rate>0%</bounce_rate>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<comparisons>
<row>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-13</compareDate>
<comparePeriodPretty>Monday, August 13, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 9 – 16, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-12,2012-08-15</compareDate>
<comparePeriodPretty>August 12 – 15, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 12 – 15, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
</comparisons>
</result>
<result prettyDate="Tuesday, August 14, 2012">
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<bounce_rate>0%</bounce_rate>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<comparisons>
<row>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-14</compareDate>
<comparePeriodPretty>Tuesday, August 14, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 9 – 16, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-12,2012-08-15</compareDate>
<comparePeriodPretty>August 12 – 15, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 12 – 15, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
</comparisons>
</result>
<result prettyDate="Wednesday, August 15, 2012">
<nb_uniq_visitors>2</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>2</nb_visits>
<nb_actions>2</nb_actions>
<max_actions>1</max_actions>
<nb_actions_per_visit>1</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>100%</bounce_rate>
<comparisons>
<row>
<nb_uniq_visitors>2</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>2</nb_visits>
<nb_actions>2</nb_actions>
<max_actions>1</max_actions>
<nb_actions_per_visit>1</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>100%</bounce_rate>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-15</compareDate>
<comparePeriodPretty>Wednesday, August 15, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 9 – 16, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_users>0</nb_users>
<nb_visits>0</nb_visits>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors_change>-100%</nb_uniq_visitors_change>
<nb_users_change>+0%</nb_users_change>
<nb_visits_change>-100%</nb_visits_change>
<nb_actions_change>-100%</nb_actions_change>
<max_actions_change>-100%</max_actions_change>
<nb_actions_per_visit_change>-100%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<bounce_rate_change>-100%</bounce_rate_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-12,2012-08-15</compareDate>
<comparePeriodPretty>August 12 – 15, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 12 – 15, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
</comparisons>
</result>
<result prettyDate="Thursday, August 16, 2012">
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<bounce_rate>0%</bounce_rate>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<comparisons>
<row>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-16</compareDate>
<comparePeriodPretty>Thursday, August 16, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 9 – 16, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
<row>
<nb_actions_per_visit>0</nb_actions_per_visit>
<avg_time_on_site>00:00:00</avg_time_on_site>
<bounce_rate>0%</bounce_rate>
<nb_uniq_visitors>0</nb_uniq_visitors>
<nb_visits>0</nb_visits>
<nb_users>0</nb_users>
<nb_actions>0</nb_actions>
<max_actions>0</max_actions>
<nb_uniq_visitors_change>+0%</nb_uniq_visitors_change>
<nb_visits_change>+0%</nb_visits_change>
<nb_users_change>+0%</nb_users_change>
<nb_actions_change>+0%</nb_actions_change>
<max_actions_change>+0%</max_actions_change>
<bounce_rate_change>+0%</bounce_rate_change>
<nb_actions_per_visit_change>+0%</nb_actions_per_visit_change>
<avg_time_on_site_change>+0%</avg_time_on_site_change>
<compareSegment />
<compareSegmentPretty>All visits</compareSegmentPretty>
<comparePeriod>day</comparePeriod>
<compareDate>2012-08-12,2012-08-15</compareDate>
<comparePeriodPretty>August 12 – 15, 2012</comparePeriodPretty>
<compareSeriesPretty>(August 12 – 15, 2012) (All visits)</compareSeriesPretty>
<idsubdatatable>-1</idsubdatatable>
</row>
</comparisons>
</result>
</reportData>
<reportMetadata>
<result prettyDate="Thursday, August 9, 2012" />
<result prettyDate="Friday, August 10, 2012" />
<result prettyDate="Saturday, August 11, 2012" />
<result prettyDate="Sunday, August 12, 2012" />
<result prettyDate="Monday, August 13, 2012" />
<result prettyDate="Tuesday, August 14, 2012" />
<result prettyDate="Wednesday, August 15, 2012" />
<result prettyDate="Thursday, August 16, 2012" />
</reportMetadata>
<reportTotal>
</reportTotal>
</result>
|
