The metric homepage: Viewing your metrics

Opening a metric displays its homepage, where you can personalize it and view it from multiple perspectives and edit the metric’s underlying data and default display properties.

The metric homepage is thoughtfully designed to present a complete picture of your data and to help you understand how your business is performing. As with all of our PowerMetrics features, the metric homepage is flexible and customizable. If our design doesn’t quite match what you’re looking for, personalize it! Made changes and want to start over? No problem. It’s fast and easy to clear your modifications and return to your original settings. Happy with your personalized views? They’ll be there for you the next time you sign into PowerMetrics.

This article describes the metric personalization and viewing experience. Go here if you want to learn how to edit your metrics.

This article includes:

Opening a metric

You’ll begin by going to your list of metrics and selecting the one you want to open.

To open a metric:

  1. Click Metrics in the left navigation sidebar.
  2. In your list of metrics, select the one you want to open. The metric homepage opens in view mode.

When you open a metric, it’s immediately visualized using the most appropriate aggregation type and the most effective selection of chart styles. These automatic settings are based on the metric’s data and whether the metric has segments or has metric goals applied to it.

Metric homepage design

On the metric homepage, you can view general metric settings (for example, the metric name and associated service), perform actions (for example, editing, sharing, and deleting) and view and modify the date range, filters, and aggregation settings for all of the metric views on the page. You can also see and add metric goals and access essential details about the metric.

In the central area of the homepage, you’ll see several representations of the metric. We call these metric views or visualizations.

General metric settings and actions

The banner that spans the top of the page includes the metric name and the service it’s connected to, for example, this metric is called “Page Views Per User” and it’s connected to data from a Google Analytics account. Beside the metric name, you’ll see the number of days of stored history in the metric and the last time your data was refreshed. (See below.)

Note: The amount of data history you can see at one time depends on the date range window that’s included in your pricing plan.

Clicking the 3-dot menu in the top-right corner gives you access to these actions: Edit, Share, Open in Explorer, Add to Starred, Add to dashboard, Goals, About, Reset all views, and Delete. (Many of these options are also available as quick-access buttons beside the 3-dot menu.)

  • Editing the metric: Click Edit to make integral changes to a metric. Learn more about editing metrics.
  • Open in Explorer: If you notice something interesting and want to dig a bit deeper, click here to open the main metric view (the one that displays on the homepage under the micro-views) in Explorer. If you've personalized the view, the version in Explorer will include those settings. Otherwise, the default version of the view will display. Learn more about exploring.
  • Sharing the metric: You can share metrics with users or groups, granting view or edit access. Recipients will see the original, default version of the metric homepage. Your personalized changes will not be visible to them. Learn more about sharing metrics.
  • Adding the metric to your starred list: To get quick access to the metrics you refer to most often, you can add them to your Starred list. Learn more about creating a list of favourite metrics.
  • Adding the metric to a dashboard: Either add the metric to a new or an existing dashboard. The metric will display on the dashboard using the most suitable chart type based on its data and available segmentation and will retain all personalized customizations you made to it. Learn more about displaying metrics on a dashboard.
  • Goals: This button hides and displays the Goals tab, where you view, edit, or delete existing goals and add new goals.
  • About: This button hides and displays the About tab, where you can access lots of useful information about the metric.
  • Resetting the metric view: Click Reset all views if you’ve made changes to the metric views but want to return to the original, default version you started with. Resetting is a quick, risk-free way to start over - your metric’s underlying data will not be affected. Note: This action resets all of the views on the homepage. You can also reset individual views.
  • Deleting the metric: Deleting a metric removes it (and its goals, if applicable) from the account.

Date range, filtering, and aggregation

Below the top banner is the area where you view, and optionally change, the date range, filtering, and aggregation type that’s being applied to all of the metric views on the page.

Note: If you’re viewing a calculated metric, the aggregation type and modification option will not display. This is because the values shown for calculated metrics are the result of a formula, and not the result of an aggregated set of values.

Date range

Choose the date range you want to display for all of the metric views on the page. Select from our pre-set options, for example, "Auto", "Maximum date range", "Today", and "Last 7 days", or click Custom to apply a unique date range. You may notice some date ranges are not available. That's because the range of historical data you can access is dependent on your pricing plan.

By default, the date range is set to ”Last 30 days” (includes today) to allow for ease of use when comparing data to previous periods, regardless of the amount of data history you can currently access. If the metric doesn’t include data for this date range, the default will be set to “Auto”.

Filtering

You can filter your data by selecting the members to include or exclude for each dimension. For example, if the dimension is "Channel", you might choose to filter on "Email", "Organic Search", and “Referral” to see data for those specific channels. See the example below. If your metric includes a lot of members, you can use the Search feature to quickly find them.

Note: If your browser window is too narrow to display all of the available filters, click the filter button to view and modify your list of applied filters. (See an example below.)

Aggregation

Choose how you want the metric's value to be aggregated. Aggregating data is a process wherein many values are returned as a single value, for example, as a sum, an average, a count of rows, a max, and a min. Available aggregation methods depend on the type of data in your metric.

Metric goals and metric details

The Goals and About panels display on the right side of the homepage. You can choose to hide or display these panels, by clicking the Goals and About quick access buttons on the top right of the page. When displayed, you can also use the quick access buttons to switch between the open panels.

Metric goals

Select the Goals tab to view, edit, or delete existing goals and to add new goals.

Note: You can also view goals in metric views on the homepage (depending on their chart type and style). See ”Other interactive options”.

  • To edit or delete an existing goal, select the goal’s 3-dot menu, and click either Edit or Delete. (See below.)

  • To add new goal(s), if you haven’t added any goals yet for the metric, click . If you’ve already added at least one goal for the metric, beside Goals & Notifications, click the button. Learn more about adding metric goals.

Metric details

To access metric details, click the About tab, where you’ll see the following:

  • The metric owner and when it was last edited.
  • The amount of data history that’s being stored.
  • The type of metric (instant, instant (calculated), custom, or calculated). For instant metrics, you can see a definition and access a link to MetricHQ (if applicable). You can also see the service the metric’s connected to, for example, Google Analytics or Instagram Business. For instant (calculated) metrics, you see the same options as for non-calculated instant metrics, including a link to view the calculation, where you can click a metric in the calculation to open its homepage. For custom metrics, you can see (and open) the data source the metric’s connected to. For calculated metrics, you can click View calculation and select each metric to go to its homepage.
  • The metric’s default value (aggregation type).
  • The date or time dimension (name of the date or time column in the associated data source) and available segments. These items display as pink text, indicating they are settings that were selected when the metric was created.

Interacting with and personalizing your metric

A variety of metric views display on the homepage, helping you visualize your data effectively from multiple perspectives.

Each view is customizable. Your personalizations are retained so you’ll see them the next time you sign in to PowerMetrics. You can also quickly reset all or individual metric views to their original settings as many times as you like, an essential requirement when investigating and learning from your data.

Tip: If you see the No data for the selected date range message when you open a metric, it may be because the default date range of Last 30 days is not applicable to your data. Try changing the date range, for example, to Auto or Maximum date range instead.

Metric views: Summary charts and textual descriptions 

Across the top of the metric view area, you’ll see four “micro” metric views. (See below.) These can be used to display the metric’s current data and compare it to data from other periods and to display textual information about the metric.

Clicking the 3-dot menu for these metric views gives you access to the following options:

  • Expand (and collapse) the metric view, by clicking the 3-dot menu on the view and selecting the appropriate choice. When a metric view is in expand mode, you can cycle through all of the views on the homepage.
  • Personalize view: You can display your metric information as a Summary chart or as text that tells you about the metric.
  • If you choose Summary the metric view will display data as a single aggregated value for a specific time period, as selected by you from the drop-down list. (See below.) This is a handy way to see your current data at a glance and compare it to data from other periods.

When you select Current period, the aggregated value of all the metric data in the current time range (based on when it was last refreshed) will display. When you select Previous period or Same period (last year), you can choose whether to see the comparison as a percentage change or as a value change, or to show both values for a more informative comparison. When you select Custom period (offset), you can choose either Ahead or Back and then enter the number of days, weeks, months, or years for the comparison.

  • If you choose  Description the metric view will display textual information about the metric, either general metric details, or, if applicable, a MetricHQ definition.

For instant metrics, if you choose MetricHQ definition, and there’s an applicable definition in MetricHQ for the metric, it will display along with a link you can click to go to its page in MetricHQ. For custom metrics, this option is not available.

If you choose About, the view will display useful information for the metric, including, its owner, when it was last edited, the type (instant, custom, or calculated), and the associated service (for instant metrics only). For custom and calculated metrics, "About" is the only applicable option.

  • Reset view: This option removes your personalizations and returns an individual metric view to its original default settings.

Metric views: Other visualization types

Under the micro metric views, you’ll see a single, full-window size metric view followed by two half-window size metric views. These views provide a larger set of visualization options than the micro views (in fact, you can personalize them to use any chart and style that’s applicable to your data). Typically, the default visualizations in this section include a line/area chart, a table, and a bar/column chart, however, the default chart types may vary depending on the metric’s data.

Changing segment by and over properties using dynamic metric view titles

For these three metric views (if the visualization includes segments), we apply a dynamic title that refers to the metric visualization’s segmentation and over properties. For example, a metric named “New Users” that includes the segments “Channel” and “Medium” and a date column, will display as “New Users by Channel over Time (selected time period)”. Clicking on an underlined title component (for example, “Channel” or “Time”, as shown below) enables you to change the segmentation and the time periodicity in the title and the visualization.

By default, the X-Axis displays time but bar charts enable you to select either a time dimension to group by or a non-time-related dimension. (See below.)

Other interactive options

Click the 3-dot menu in the upper-right corner of the metric view to access the following actions: Expand, Open in Explorer, Download as CSV, Add to dashboard, and Personalize view. Note: You can also get quick access to Personalize view and Open in Explorer by hovering near the 3-dot menu. (See below.)

  • Expand (and collapse): Expand and collapse the metric view. When a metric view is in Expand mode, you can cycle through all of the views on the homepage.
  • Open in Explorer: If you notice something interesting and want to dig a bit deeper, open the metric view in Explorer. You’ll be free to experiment with your data, trying out different scenarios, including adding multiple metrics into one visualization. Exploring your metrics is a free-form way to analyze your data and get answers to your questions. Learn more about exploring.
  • Download as CSV: Download the computed data that’s shown in the metric visualization. Learn more about downloading metric visualizations as CSV files.
  • Add to dashboard: Add the metric to a new or an existing dashboard. Learn more about displaying metrics on a dashboard.
  • Personalize view: As you make personalized changes, the metric view dynamically updates with each choice you make. This section describes all available options. Note, however, that availability depends on the metric data and chart type/style.
  • Chart Type and Style - Choose a combination of chart type and style to display your data meaningfully. For example, if you want to display data in a chart with stacked columns, select Bar / Column as the Chart Type and Stacked Column as the Style.

Available chart types are: bar and column charts, line and area charts, pie and donut charts, tree maps, radar plot charts, waterfall charts, heat maps, summary charts, and tables. Available styles depend on the chart type chosen.

  • Display Top or Bottom - For ranked tables, choose whether to display the Top or the Bottom rows from your data and the Number of rows to display.

  • Break lines for blank values - When there are gaps in data, for example, if data is not refreshed during a time period, you can choose to break the chart lines to show the gaps in data. Alternatively, you can display a continuous line, where a line is drawn between known data points to fill in the gaps. By default, we break lines for blank values but you can deselect this option if you'd rather see a continuous line. This option is available for line charts and radar plots.

  • Show values as labels - Display values as labels in your chart. This option is not available for tables or summary charts.

  • Show points - Choose to display points in the visualization. This option is available for the following chart types: Line, combination, and unsegmented area charts.

  • Legend position - If your visualization includes a legend, choose to display it at the bottom, right, left, or top of your chart. You can also remove the legend by selecting None.

  • Line thickness - Choose line thickness for line and area charts. For area charts, you can also choose “none” to remove lines from the chart.

  • Show as cumulative - Select this option if you want to view your metric data as a cumulative sequence. Viewing your data from this perspective illustrates growth over a time period.

  • Goal - If a goal has been added to the metric, you can display it in the metric view by clicking the drop-down arrow under Goal and selecting the goal to display. If you don’t want to display a goal, select None.

Note: If the goal doesn’t display, and you see the message “Goal does not align with visualization settings”, click Match settings. If you want to return to the previous visualization settings, you’ll need to do so manually. The settings won’t auto-revert if you stop displaying the goal.

  • Comparison - Choose to either apply no comparison or to compare your data to other time periods (vs a previous period, vs the same period (last year), or vs a custom period). Comparisons are made between equivalent time period types. For example, if the date range selected is "today", then the previous period will be "yesterday". Note that the date range for the metric must be set to a time period that enables a comparison. For example, if you set the date range to Auto or Maximum date range, it will not be possible to compare to a different time period. If you choose to display a legend for the chart, the comparative period will display as the last item (when reading from left to right). You can click its name in the legend to show and hide it in the chart.

For line and area charts, the comparative period's data displays as a dashed line. For bar and column charts, the comparative period's data displays as lighter-coloured bars and columns.

Note: The comparison setting is only applicable to bar, column, and line / area chart types. However, this setting does not apply to line charts or stacked bar or column charts when the chart is segmented. For the comparison option to be available, you must set your segmentation to “None” and dates must display on the X-Axis (unless it's a bar chart, in which case, dates must display on the Y-Axis).

For summary charts and ranked tables:

There are a few options to choose from. You can display the percentage change or value change between the current value and the previous value (the delta), or you can show a comparison value (both values display together). Green is used to show a positive trend and red is used to show a negative trend.

When comparing data from a partial period, we compare it to a previous partial period. For example, if you’re halfway through a month and want to compare to the previous month, your metric will be compared to the same period of the previous month.

When comparing, if there is no difference in values, no data available to compare to, or the time period set for the exploration is not suitable for a comparison (for example, the date range is set to “Auto” or "Maximum date range") then the chart displays “--”.

  • Trend line - To more easily see data trends over time, you can apply a trend line to your visualization. Select Moving Average if you want to smooth out fluctuations in data so you can more clearly gauge patterns and trends. Select Linear if you want to see a straight line, indicating the general direction in which your data is heading. When you select either option, a line is added to your chart. If you also select Show as cumulative, the trend line is drawn using cumulative data. Trend lines exclude data from incomplete, partial periods. Trend lines display as lines made up of long dashes.

Trend lines are only applicable to bar, column, and line / area chart types. However, they do not apply to the stacked variations of bar, column, and area charts. A metric without multiple time values will default to a bar chart instead of a line chart.

For the trend line option to be available, dates must display on the X-Axis (unless it's a bar chart, in which case, dates must display on the Y-Axis).

  • Hide blank periods - For list and pivot tables that include a date/time column, under Columns, choose to hide or display blank time periods.

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