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Changes for page Ad Hoc Engagement Metrics

Last modified by Admin User on 2025/05/02 17:42
From version 8.1
edited by Admin User
on 2025/05/02 15:56
Change comment: There is no comment for this version
To version 10.1
edited by Admin User
on 2025/05/02 17:42
Change comment: There is no comment for this version

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1 -**Engagement Metrics**
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3 3  //Expanding ONEcount to consume additional data types//
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5 5  ONEcount has defined “silos” for three different types of engagement data: email, banners and web pages. For each silo, there are well-defined, industry-standard metrics to measure performance.
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23 23  **Creating Engagement Metrics**
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27 27  Here you can see an example with three different types of adhoc engagements: The client’s internal lead generation system (LCS), data from an Omeda email click report, and data for the client’s in
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65 65  Since the engagement name is used as an index and search criteria, it’s important that it not be too varied. For example, having 1,000,000 different seminar names could make it difficult to search effectively in the back end, and make segmentation difficult. Therefore, you can change the metric name to a Select type of metric, so there are a small number of events to choose from.
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98 98  In the List Wizard, you can include and exclude metrics. There will be a pull-down allowing you to select an engagement silo. When you select a silo, the “target” box will pre-populate with the names of your engagements. You can also Select All. You must choose at least one metric name.
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111 111  
112 112  Once you select the target, you can choose the various metrics you want to include, as well as possible values:
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129 129  When defining a segment, you can choose the metrics you want in the segment. First pick the engagement silo under “category”, then the specific metric and values:
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141 141  
142 142  Engagement Metrics in ONEcount BI are typically custom charts. When your account is first set up, your ONEcount team will help you build your initial engagement metrics, as well as any analytics screens you need to use your data. You can of course customize the data and build your own charts as you see fit.
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146 146  **Important Notes:**
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