Using the Metamarkets Facet View

Facet View Interface Overview

Note: The video tutorials referenced here do not reflect the latest Metamarkets UI changes and not all of the functionality is available to Ooyala Pulse users.

Facet is typically used more as a report builder. It provides a table view where you can see rows of dimension data displayed against your metric columns. You can customise your reporting tables by adding new dimensions per split bars and by drilling into these dimensions using the expand/collapse feature. All facet views provide custom time comparison options so you can view and compare your data over longer and shorter intervals. The interface looks the same for Auctions and Bids view. The dashboard defaults to preset dates, showing you the past week of data.

This is the default look of the Facet view interface. As soon as you add the first split bar, the report layout changes to a table. The functionalities available in the report tables are also explained below.

Facet view interface

Part Name Description
1 Schedule reports Only available in Facet view. Schedule a report for yourself or others to be delivered by email on a recurring basis; daily, weekly, or monthly.
2 Expand/Collapse Facet interface Expand gives you the option to:
  • Click on "Overview" to return to the default interface (chart and dimension tables).
  • Click on + to quickly bookmark reports.
  • Access all of your previously bookmarked reports. When clicking on a bookmarked Facet report, you see a cogwheel icon which gives you the option to update, edit name, or delete that bookmarked report.
    Note: Bookmarks are saved per account user, meaning they are not shared.

Collapse to hide the expand options.
3 Report time frame Set the time period for which you want to see the data.
  • Time frame picker: View data for a specific time frame. The available options are:
    • Today
    • Past 24 hours
    • Yesterday
    • Past 7 days
    • Last week
    • Week to date
    • Month to date
    • or, set a custom range
  • Limit to specific hours: View data for full day or a specific period of hours, which you can drag and adjust.
  • Comparison picker: Compare data from the currently selected time frame against the matching previous period for easy trending comparisons. For example, compare data for today against data from yesterday.
4 Time zone picker Select the time zone.
5 Filter Click and select (or search for) any of the dimensions in the list to filter on and customise the report data. When selecting a dimension, you can either:
  • Include sub-items in the report: Check the box next to the sub-items you want to filter on and click "Apply", or
  • Exclude sub-items from the report: Check the box next to the sub-items you want to exclude from the report, check the "Exclude" box, and click "Apply".

For example, to see data related to a specific DSP, select the "DSP Name" dimension and include only the desired DSP. This filters out all other DSPs.
6 Split by Add dimensions per split bars. This enables you to drill into these dimensions using the expand/collapse feature and see the absolute change and percent change fields, provided you are in comparison mode.
You can add up to five split bars. As soon as you add the first split, the report layout changes to a table. Hover over the split bars to:
  • Drag and drop split bars and organise the report layout differently.
  • Remove split bars.
  • Click on the cogwheel and adjust the number of rows (1-100) displayed in the report.
7 Key performance metrics chart Chart displaying data based on the selected report time frame and metrics. You can:
  • Hover over the graph to see metric data for that specific point in time.
  • Add more metrics by using the metrics picker on the right.
  • Remove metrics from the chart.
8 Metrics picker Select the desired metrics to customise the fields in the key performance metrics chart or report table. When adding metrics to report tables, you can also sort by ascending or descending by clicking on the metric name.

For more information on the available metrics, refer to Metamarkets Dimensions and Metrics.
9 Dimension tables sorted by metric
Top dimensions and list of items within each dimension sorted by the currently selected metric in the key performance metric chart. Within the dimension header, you can:
  • Remove a dimension table.
  • Drag and drop dimension tables to organise them differently.
  • Click on the expand button, which opens up the report in table view, split by the expanded dimension.
10 Dimension tables picker Add desired dimensions to be displayed in dimension tables. For more information on the available dimensions, refer to Metamarkets Dimensions and Metrics.

Report Examples

Example: Ad Ops campaign troubleshooting

Use the facet auction view to get a daily view of campaign performance and quickly identify campaigns with negative performance and take action on these.
  1. Choose a period, for example yesterday and compare it to previous day.
  2. Filter by "DSP Name" and exclude direct campaign.
  3. Split the data by "Marketplace Name", "Deal Names", "Seat Name", "Adomain (Winning Bid)", and "VAST Error".
  4. Add relevant metrics, such as "Bids", "Wins", and "Impressions".
Possible optimisations:
  • Block the URLs that are causing the drop off.
  • Contact the DSP to block or notify the buyer seats that are doing this.
  • Modify the passback timeout settings in the case of ads timing out.
Ad Ops campaign troubleshooting

Example: Errors by advertisers and DSPs

Use the facet auction view to find out if the winning programmatic campaigns are actually shown, or if there are any issues, such as timeouts. If a certain campaign often renders errors, you can then communicate that to the buyer in order to rectify the issue.
  1. Choose a period, for example past 7 days and compare it to previous 7 days.
  2. Filter by "DSP Name" and exclude direct campaign.
  3. Split the data by "DSP" Name, "Campaign Name" or "Adomain (Winning Bid)", and "VAST Error".
  4. Add relevant metrics, such as "Bids" and "Impressions".
Errors by advertisers and DSPs

Example: Sales team analysis of buyer performance

Use the facet auction view to gain insight into which buyers are performing better or worse on your programmatic deals.
  1. Choose a period, for example month to date and compare it to last month.
  2. Filter by "DSP Name" and exclude direct campaign.
  3. Split the data by "Category Name", "Seat Name", and "VAST Error".
  4. Add relevant metrics, such as "Bids", "Wins", and "Impressions".
Sales team analysis of buyer performance

Example: Compare revenue over past 7 days

Use the facet auction view to find out which advertisers generated revenue, the amount of revenue they generated, and through which DSP. Compare the data to a previous period so you know what the trend is and which advertisers to approach.
  1. Choose a period, for example past 7 days and compare it to previous 7 days.
  2. Filter by "DSP Name" and exclude direct campaign.
  3. Split the data by "DSP Name" and "Adomain (Winning Bid)".
  4. Add relevant metrics, such as "Auctions", "Bid Responses", "Impressions", "Revenue", and "Avg Winning Bid".
Compare revenue over past 7 days

Example: Check detailed performance of your international marketplace

Use the facet bid view to gain insight into the performance of your international marketplace and see a granular report of international bid activity.
  1. Choose a custom period, for example last 14 days.
  2. Filter by "DSP Name" and exclude direct campaign.
  3. Split the data by "Country Name", "DSP Name", "Seat Bidder", "Seat Name", and "Adomain".
  4. Add relevant metrics, such as "Bids", "Wins", "Impressions", "Average Bid Price", and "Avg Winning Bid".
Check the detailed performance of your international marketplace
Parent topic: Metamarkets Data Visualization Views

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