Increased performance leads to increased revenue. Our reporting feature lets buyers know ‘where things stand’ so you can make improvements to ‘get where you want to be’ and make more money.
The Verizon MediaSSP takes pride in being the best and most reliable technology. We deeply believe that great technology performance is critical to accelerating and growing the mobile advertising business.
Technology should deliver a strategic advantage and focus on business growth. A baseline —of measured data points— is used to measure improvement.
Use Analytics to guide decision-making
Our Reports feature (via MetaMarkets) provides detailed insight and visibility to your transactions across our programmatic inventory.
- Get detailed site, position, and impression-level attribute information about the premium inventory on the Verizon MediaSSP.
- Identify performance patterns across a variety of parameters and timeframes to help guide buying decisions.
- Discover and analyze prior performance using simple, easy-to-understand visualizations.
- Adapt to changing campaign needs easily with frequent data updates.
Start by selecting one of the tabs (explained below) from the navigation bar.
Two views are available under the Explore tab. The Nexage Auctions view is the default; to navigate to the My Bid Ops/Audience view, click the Explore button in the top left and choose My Bid Ops/Audience.
The Nexage Auctions view (default) populates upon initial access to MetaMarkets. Use the Nexage Auctions Dashboard to get a more in-depth information on the supply available on the SSP. Dig into specific publisher’s apps and sites and get pricing guidance per app bundle, compare supply sources at a high level from an auction, pricing, uniques, or CTR view, compare traffic by volume, such as iOS versus Android traffic, traffic breakdown by device country or more granularly at the DMA level, traffic by device type, traffic that does or doesn’t have device ID, does or does not have lat/long, and much more.
Use the My Bid Ops/Audience view to dig into your individual bidder’s performance across campaigns, creative IDs, publishers, seats, and more. It functions in the same manner as the Nexage Auctions view, but the data here is limited to data for only your bidder. Use this view to troubleshoot why you are losing an auction, whether it’s due to lost on price or bidding below the floor, to make bid adjustments, see campaign performance across different apps/sites, publishers, ad sizes, etc. to optimize targeting parameters, compare performance across creative IDs to optimize towards better performing supply, and more.
Each view under the Explore Tab has two areas; the time-series graph on the left and the dimension tables on the right. The data shown in the time-series graphs on the left is synced to the data shown in the dimension tables on the right. As filters are applied to one, the data shown in the other will automatically update to display the corresponding values. The Dashboard is designed to shorten the time-to-insight by performing high-speed queries across all data. Filters help shrink response time by narrowing the scope of queries to cover just the data of interest.
Activity for the last 24 hours is displayed as a blue line on the charts. Customize the time period using the time-series filters. The default time-series provides a graphical representation of the last 24 hours of activity for each chosen metric.
Set Date Range
Change the time period used for analysis using the dropdown boxes located above the graphs. Beginning with default 24 hour view, zoom out or drill in using the thirteen options to see metrics over a longer period of time or to take a closer look at spikes and dips. Alternately, click Custom Range and choose a date range or enter the dates from the calendar to look at a specific date range not included in the available options. Drag the graphs to the left to expand the date range to previous days. Drag the graph to the right to expand the date range beyond selected days. Choose from hour or day with the right-most dropdown above the time series graphs.
Use the Compare view to drill into data by examining values across a range of metrics. To use the Compare filter, select the first date range and click the box next to Compare at the top of the graphs. Next, choose the date range to compare. All of the dimensions in the tables to the left will update with the percent deviation over the course of the date range. The graphs will also update to show the difference between the metrics over the date range. The blue line depicts the most recent date range and the gray line depicts the previous date range.
The Compare filter can also be used within a specific dimension.
- First click a dimension box on the right side of the Explore page to expand it to show the top 250 values in that dimension ranked according to your chosen metric.
- Then click the Compare button located at the top of the dimension table to automatically select the top 4 dimension values for comparison on the time series charts on the left side of the page.
- Add or remove dimension values from your filter by clicking the values on the dimension tables (with a max of 7).
The Exclude filter provides additional options for slicing and dicing data. From the Explore page, click one of the dimension tables on the right side. The box will expand to show the top 250 values for that dimension.
Select the Exclude button at the top of the box to enable a 'top-down' analysis of your dimension values. With the Exclude filter activated, click individual values to remove them from the analysis. Clicking the Exclude button a second time will re-select the value and include it in the analysis.
Remove the Exclude filter by clicking it again, or by clicking the X beside the value name in the filter summary at the top of the page. Upon switching back to the All Dimensions view or to another visualization page, the exclusions applied will stay in place unless removed.
Using the Filters Together
Use the time-series filter, to expand, shorten, or horizontally shift the time period used for an analysis. Once the time period is set, narrow the analysis by clicking individual values in the dimension tables on the right side of the page to filter across dimensions. Further dissect activity for a specific metric by clicking the header of a dimension box to zoom in to that dimension for a top-down or bottom-up analysis of the values within using the exclude and compare filters.
The dimensions table, on the right, shows the top 12 entries for each dimension sorted by the chosen metric(s). If there are fewer than 12, all are shown.
To expand a dimension table, click on the + next to the table value name. To collapse a dimension table, click the - sign on the open table.
Filter the data across multiple dimensions by clicking a row in the tables. As additional filters are applied, they are summarized at the top of the page. Filters can be removed by clicking either the corresponding row or the filter's description in the summary (at the top of the page).
To further explore a specific dimension, click the name of that dimension at the top of its table. This expands the table to show all of the values for that dimension (along with the multiple metrics describing them), up to a maximum of 250.
Exploring a Dimension
In the expanded dimension's table, click the row(s) to narrow the view by dimension values. Select one or several. The time-series charts on the left will instantly update to show the aggregate time-series data for each metric.
Display a comparison view by clicking Compare at the top of the expanded dimension table once multiple dimension values have been selected. Dimension values will be plotted separately (instead of aggregating them), graph lines are color-coded for distinction. If Compare is clicked before specific dimension values are chosen, the top four are automatically displayed as determined by the chosen primary metric. Additional dimension values can be added to the comparison by clicking them. Up to seven dimensions may be compared simultaneously.
Selected values are implemented as a single filter that remains in place even if you navigate back to the All Dimensions view. Once filters have been applied you can save the view to your favorites, share it with a colleague, or download the time-series data.
Using Filters in Other Views
Once a filter is applied, the keywords defining it appear at the top of the page. Unless removed, selected filters carry over to other views (such as pivot table), allowing filtered data to be viewed in other visualization formats.
Filters can only be edited in the quick-filter menu. Filters cannot be edited directly; they must first be removed, then replaced by a new filter with the desired attributes. Use the quick-filter menu to edit existing filters.
There are several ways to remove a filter, 1) click the value used in the filter on the dimension table, 2) click the X beside the value name in the filter summary at the top of the page, or 3) click the Explore or Home tabs at the top of the page and reset the view.
Build tables, add and delete filters directly on the Explore page or using the Quick-Filter Menu located below the navigation bar and above the charts and tables sections. Click or unclick a dimension to filter by values.
There are two ways to create a filter: instant and batch. Create an instant filter by clicking the value name (not the checkbox), this immediately enables a one-value filter.
To create a batched filter with multiple values, select the values by clicking their checkboxes and then clicking Apply. Batched values can be applied from only one dimension at a time.
Sorting Tables by Most or Least Changed
Sort the values in a dimension table to show the top or bottom performers. To see the most or least changed entries in a period of time, sort the table by the actual or relative changes in value; this helps spot the biggest movers or least actives. Choose a comparison period from the date/time interval controls, to view relative (percent) changes (deltas) for all metrics in all dimension tables. Relative deltas appear only if a comparison period is set (no deltas appear if time periods are not being compared).
Deltas are calculated by comparing the current period's values to the corresponding values from the previous period. To view both absolute and relative deltas, and to sort the entries in a table by delta, first expand the table by clicking its title. By default, the entries in the newly opened table will not be sorted by delta.
Click the active relative or absolute delta control to change its sort direction, which is indicated by an arrow.
Downloading Data From the Explore Tab
Explore views display historical metrics charts on the left and dimension tables on the right. Data can be downloaded using the Download menu. The entries in the menu reflect whether all dimension tables or only a single dimension is being viewed.
The menu options are:
- Time Series Data – Downloads all data in the time frame and with the granularity specified in the time-series filters above the metrics charts. Only data for the metrics made visible in the metrics charts (by using the Metrics menu) is downloaded.
- Time Series Data (all metrics) – Downloads all data in the time frame and with the granularity specified in the time-series filters above the metrics charts. Data for all metrics available in the view (regardless of whether or not they are displayed) is downloaded.
- <dimension-name> Data – Downloads up to the top (or bottom) 250 rows for the dimension table being viewed. The downloaded data is sorted in the same way as the dimension table. Rows contain only the metrics made visible in the dimension table (by using the Metrics menu).
- <dimension-name> Data (all metrics) – Downloads up to the top (or bottom) 250 rows for the dimension table being viewed. The downloaded data is sorted in the same way as the dimension table. Rows contain data for all metrics available in the view (regardless of whether or not they are displayed).
- All <dimension> Data – Downloads all data available for the dimension whose table is being viewed. The downloaded data is sorted alphabetically by dimension name. Rows contain only the metrics made visible in the dimension table (by using the Metrics menu).
- All <dimension> Data (all metrics) – Downloads all data available for the dimension table being viewed. The downloaded data is sorted alphabetically by dimension name. Rows contain data for all metrics available in the view (regardless of whether or not they are displayed).
Troubleshooting Downloaded Data
Normally, data downloads work smoothly. If an issue is encountered, it is likely fall into one of the following categories.
Unexpected Results in the Data File
If the download file does not contain the expected data set, check the following:
- Is the range set by the time-series filters set to your desired range?
- Did you choose the correct item from the download menu?
- Does the dimension table you are downloading contain less than 100 entries?
- If you did not wish to download all metrics, did you hide the unwanted metrics?
Be aware that viewing filters have no effect on downloaded data. For example, if a view filter is set to show only one publisher, when downloading the Publisher Name dimension, the downloaded data will not be affected by that filter.
Slow or Failed Downloads
Not surprisingly, the size of the data set you are downloading can have a noticeable effect on how long the download takes. It is possible for a download operation to take a substantial amount of time for a data set encompassing hundreds of thousands of rows. It's also possible for a browser to timeout while waiting to receive the CSV file, so that the download operation fails to complete.
To successfully download exceptionally large data sets, try the following:
- Split the download into 2 or more parts. For example, if an attempt to download a week's worth of data is failing, consider downloading 2 to 3 days at a time.
- If all of the metrics are not required, use the Metrics menu to hide the unwanted metrics and choose a download that does not include all metrics.
- If interested only in performance, consider downloading only the top and bottom 100 by sorting the target dimension by the desired metric, then downloading the top 100, resorting to flip the order, then downloading the bottom 100 (in each case not downloading all data).
Facet Table allows users to visualize up to 5 dimensions of their data in one table while optimizing for querying speed. This table also provides further interaction options, such as click filtering and collapsible dimension values.
To use the Facet Table, choose Facet from the top dropdown and select from the Auctions view or My Bid Ops view.
- Auctions view - the data populated in the Facet table is from the exchange level
- My Bid Ops view - this data will be limited to data on your bidder.
Filtering limits the scope of a selected data dimension to explore only the data needed. Select the + button next to Filter on the top left, to enable adding high level filters. For example, to only see data for one adomain and one creative ID, select these Filters so that the data displayed in the nested table below is only for these data points. Dig deeper into the data by adding dimensions.
To add a dimension to the table, click the Add Split button in the top left corner of the table. To remove the dimensions displayed in a Facet Table, click the X in the dimension selector tabs at the top of the table.
In Facet Table, users can edit the dimensions of the table and its attributes related to the display of dimensions, including:
- changing the dimension
- sorting of dimension values - top or bottom
- number of dimension values - 1 through 100
- sort-by-metric - choose from the metrics displayed in the table
To remove a dimension, click the X button that appears to the left of the dimension value within the dimension box. To change the number of dimension values, click the wheel button that appears to the right of the dimension value within the dimension box and choose from the values. To change the order of the dimension filters, drag and drop dimensions to split as desired.
Add and remove metrics from the Facet Table by clicking the Add Metrics box in the upper right corner and selecting or deselecting values from the dropdown. These are the data points that will be displayed for the filters and dimensions put in place. For example, to see data on “Bid Requests”, “Impressions”, and “Spend”, but not data for “eCPM” and “Avg Win Bid”, make these changes in the Add Metrics box.
Expanding and Collapsing Dimension Values
To visualize large data volumes with greater speed, use a nested table design. For example, create a two-dimensional table. Add the first dimension to the table (results will appear as a simple single-dimension table). Then add a second dimension (the values of dimension 2 will be nested under the values of dimension 1). This nesting continues as more dimensions are added.
To view the values for dimension 2, click the plus sign to the left of the values for dimension 1 to expand the values underneath. A plus sign indicates that the dimension value can be expanded to show the values underneath. A minus sign indicates that the dimension value has already been expanded, but it can be collapsed to hide the values underneath.
Facet Tables can be sorted by the time dimension on a metric as well as chronologically.
To sort time chronologically, click the time dimension tab to expose the dimension selector menu and change the sort-by metric to time. If a table shows the time (hour) dimension, click on the time (hour) dimension tab to expose the dropdown, then change the sort-by metric to time (hour).
To download the data displayed in Facet Table as a .csv file, click the download icon in the top right hand corner of the page.
Be aware that the volume of data allowed to be downloaded is restricted. To roughly calculate the amount of data that is allowed to be downloaded, take the cardinality of all but the last dimension and then multiply them together; the resulting numeral must be less than 650. The cardinality allowance per dimension increases with fewer dimension splits chosen (ie. 500*500 works). The maximum download with 5 dimension splits is 5 values per dimension: 5 * 5 * 5 * 5 * X where X is any number.
Here are some examples:
2 dimension split of 500 > 500 = 500 queries < 650 (Under limit, can be downloaded)
3 dimension split of 50 > 50 > 5 = 2500 queries > 650 (Beyond limit, cannot be downloaded)
3 dimension split of 5 > 100 > 500 = 500 queries < 650 (Under limit, can be downloaded)
A heatmap is a two-dimensional graphical representation that uses colors to denote the level of interaction between two variables. On the Dashboard, click the Views tab and select heatmap from the dropdown. The chart provides a quintile analysis of the interaction between two selected dimensions for a chosen metric. The darker the color of each box, the higher the value of that metric at the intersection of the two dimensions.
To download the underlying data for your heatmap, click Download in the top right corner of the page.
Once the settings for a heatmap have been defined, press Go to populate it. The heatmap displays the top values for each selected dimension in alphabetical order, by default. To customize the analysis, press the "Toggle Clustering" button above the chart and reorder the values within each of the two dimensions (on the x and y axes). Then organize them by the level of interaction between dimension values to best suit your needs. The dimensional values that are most similar to each other are grouped together or clustered to provide an analysis of dimensional values that act or behave similarly.
Note: filters that were applied on the Explore view (such as selection or exclusion) are carried over to the Heatmap view.
Accessible through the Views tab, the Bar Chart View shows a columnar plot with values for a chosen dimension on the y-axis and a selected metric on the x-axis. Use the filters above the chart to quickly toggle between different dimensions and metrics, change the number of dimension values shown on the y-axis, or to switch the x-axis scale from standard to logarithmic.
To download the underlying data for the bar chart, click Download in the top right corner of the page.
Bookmark and save any view or analysis within the application and quickly return to it at a later time. To save a view as a “bookmark”, click the bookmark icon in the top right corner. Or bookmark the page using the browser's 'Bookmark' or 'Favorites' feature. Filters and settings are retained.
To access a list of bookmarks click the Bookmarks dropdown in the banner on top of the Dashboard.
Bookmarks can be renamed or deleted in saved view. Click the solid bookmark icon while in bookmarked view to see the options for deleting or renaming the bookmark.
All Dashboard views can be downloaded as a CSV file containing the underlying data. The historical data in this file can then be loaded into a spreadsheet for further processing and analysis.
There are two ways to search the Dashboard, clicking a search result generated by any of these methods creates a filtered view on the Explore page.
- Click the magnifying glass located at the top right corner of the Dashboard, to open the search box. Search one dimension or all dimensions (such as a keyword or number) for a given attribute. Enter a keyword and click Search to generate a list of possible matches organized by dimension.
- Expand the Dimension on the Explore page to expose a search option at the top right of the dimension table. Click it to open a search box which can be used to search the entire table (not just the 250 displayed entries). Click a search result to view it in the Dashboard.