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ab-testing.plugin-description = Test different variants of your remote config variables
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ab-testing.tooltip-content = A/B testing is a way to compare multiple versions of a single variable, for example by testing a subject's response to variant A against variant B, and determining which of the variants is more effective.
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ab-testing.running = Running
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ab-testing.running-tooltip-content = Experiments that are currently deployed to users
ab-testing.experiment-expiration-improvement-description = Stop the experiment when a variant achieves the target rate
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ab-testing.experiment-expiration-day-improvement-title = Both expiration day and target improvement rate
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ab-testing.experiment-expiration-day-improvement-description = Stop the experiment when a variant reaches the target rate or the set date, whichever comes first
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placeholder.enter-experiment-name = Enter Experiment Name
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placeholder.enter-experiment-days = Enter Experiment Days
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placeholder.enter-experiment-description = Enter Experiment Description
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ab-testing.targeting-condition = TARGET USERS
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ab-testing.targeting-condition-tooltip-content = Filter the users that should be part of the experiment
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ab-testing.add-condition = + Add condition
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ab-testing.condition = Condition
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ab-testing.percentage-users-text = Percentage of target users that’ll be part of this experiment
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ab-testing.control-group = Control group
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ab-testing.control-group-tooltip-content = The original version of the variable that is being tested. It serves as the baseline to compare against alternative variants.
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ab-testing.property-segmentation-description = Select the properties you would like your users to have as the goal of this A/B test. You may select multiple properties with an and/or setting.
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ab-testing.behavior-segmentation-description = Select the behaviour you would like your users to perform or not perform as the goal of this A/B test. You may select multiple behaviours with an and/or setting.
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ab-testing.variant-number = Variant {0}
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ab-testing.total-variants = variants
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ab-testing.total-user = Total User
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ab-testing.name = Name
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ab-testing.experiment-state-change-info = Experiment has {0}.
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ab-testing.experiment-state-change-desc = You can explore it in <b> {0} </b> section.
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ab-testing.experiment-state-change-desc = You can explore it in {0} section.
Copy file name to clipboardExpand all lines: active_users.properties
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@@ -18,17 +18,17 @@ active_users.monthly-avg = Monthly Avg. Active Users
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active_users.daily = Daily Active Users
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active_users.weekly = Weekly Active Users
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active_users.monthly = Monthly Active Users
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active_users.daily-avg-desc = Daily average of active users on the selected day, in the selected time period. For more information, please check the <a href="https://support.count.ly/hc/en-us/articles/360037639631-Web-Analytics">Analytics User Guide</a>.
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active_users.weekly-avg-desc = Weekly average of active users in the selected week, in the selected time period. For more information, please check the <a href="https://support.count.ly/hc/en-us/articles/360037639631-Web-Analytics">Analytics User Guide</a>.
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active_users.monthly-avg-desc = Monthly average of active users in the selected month, in the selected time period. For more information, please check the <a href="https://support.count.ly/hc/en-us/articles/360037639631-Web-Analytics">Analytics User Guide</a>.
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active_users.daily-avg-desc = Daily average of active users on the selected day, in the selected time period.
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active_users.weekly-avg-desc = Weekly average of active users in the selected week, in the selected time period.
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active_users.monthly-avg-desc = Monthly average of active users in the selected month, in the selected time period.
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active_users.go_to_active_users = Go to Active Users
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web.active_users.daily-avg = Daily Avg. Active Visitors
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web.active_users.weekly-avg = Weekly Avg. Active Visitors
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web.active_users.monthly-avg = Monthly Avg. Active Visitors
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web.active_users.daily = Daily Active Visitors
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web.active_users.weekly = Weekly Active Visitors
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web.active_users.monthly = Monthly Active Visitors
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web.active_users.daily-avg-desc = Daily average of active visitors on the selected day, in the selected time period. For more information, please check the <a href="https://support.count.ly/hc/en-us/articles/360037639631-Web-Analytics">Analytics User Guide</a>.
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web.active_users.weekly-avg-desc = Weekly average of active visitors in the selected week, in the selected time period. For more information, please check the <a href="https://support.count.ly/hc/en-us/articles/360037639631-Web-Analytics">Analytics User Guide</a>.
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web.active_users.monthly-avg-desc = Monthly average of active visitors in the selected month, in the selected time period. For more information, please check the <a href="https://support.count.ly/hc/en-us/articles/360037639631-Web-Analytics">Analytics User Guide</a>.
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web.active_users.daily-avg-desc = Daily average of active visitors on the selected day, in the selected time period.
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web.active_users.weekly-avg-desc = Weekly average of active visitors in the selected week, in the selected time period.
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web.active_users.monthly-avg-desc = Monthly average of active visitors in the selected month, in the selected time period.
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web.active_users.go_to_active_users = Go to Active Visitors
Copy file name to clipboardExpand all lines: attribution.properties
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@@ -73,7 +73,7 @@ attribution.hide = Make hidden
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attribution.all = Visible Campaigns
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attribution.hidden = Hidden Campaigns
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attribution.view-campaign = view campaign
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attribution.not-found = This campaign cannot be viewed. Possible reasons:<br/><br/>You are trying to view a campaign that you do not have access to or<br/>Link to this campaign is invalid.
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attribution.not-found = This campaign cannot be viewed. Possible reasons:You are trying to view a campaign that you do not have access to or the link to this campaign is invalid.
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attribution.empty-campaign = Select one or more campaigns to see the chart
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attribution.custom-segment = Any custom segment key you added to campaign url
Copy file name to clipboardExpand all lines: cohorts.properties
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@@ -10,7 +10,7 @@ cohorts.generate = Generate
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cohorts.view-users = View Users
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cohorts.confirm-delete-title = Delete cohort?
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cohorts.yes-delete-cohort = Yes, delete cohort
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cohorts.confirm-delete = You are about to delete cohort called {0}. This cohort will also be cleared from any dashboard widgets if any is using it. If for any widget after deletion no cohort will be left. <br> Do you want to continue?
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cohorts.confirm-delete = You are about to delete cohort called {0}. This cohort will also be cleared from any dashboard widgets if any is using it. If for any widget after deletion no cohort will be left. Do you want to continue?
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cohorts.confirm-delete-push = This cohort is in use by {0} active automated push message(s). Are you sure you want to delete this cohort?
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cohorts.delete-failed = Deletion failed. Please try again and check API logs if unsuccessful.
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cohorts.create-cohort = + Create New Cohort
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cohorts.group-visibility-all = All users with app access can view this group
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cohorts.group-visibility-selected = Share group with some specific users
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cohorts.group-visibility-private = Only I can see the group and it's details
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cohorts.edit-warning = Editing this cohort will reset its historical data, including the list of users who entered or exited the cohort, as well as the total number of users in it. The cohort will be recalculated starting from today, and past data will no longer be available.
cohorts.detail.overview.empty-title = User metrics overview is empty
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cohorts.detail.overview.empty-text = Configure overview to visualise user metrics of the cohort at a glance.
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cohorts.create-first-cohort=There are no cohorts
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cohorts.create-first-message=Create cohorts to divide users in groups so that you can segment all data.<br>
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cohorts.create-first-message=Create cohorts to divide users in groups so that you can segment all data.
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cohorts.create-first-message-click = Click "Create Cohort" to get started.
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cohorts.distribution-of-users = Breakdown of Total Users by Metric
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cohorts.distribution-user-description = Overview of metrics related to the total users in the selected Cohort. To select the Cohorts that you want to monitor here, please click on ''Configure Metrics''.
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