Metamarkets Explore

Metamarkets Explore is a data analytics platform that is designed to navigate data into information. It visualizes data, asks specific questions, and gets instant answers in real-time. It helps to increase sales and revenue and improve visibility.

Metamarkets Explore is Mission Control for Programmatic Data. It provides proactive alerts of the important things that need attention, interactively filtering to identify new opportunities, visually compare key metrics to identify trends in analytics over a specified time frame, and multi-dimensional analysis to make faster decisions.

It also helps in marketplace monitoring to get real-time and transparent insights to build trust between partners and to increase revenue goals, providing a controlled view of inventory to buyers without sending an email or phone call, and providing buyers a real-time view of the bid activity, enabling smarter bidding, increased transparency, reduced revenue leakage, and improved campaign performance.

Increased performance leads to increased revenue. Our reporting feature lets buyers know ‘where things stand’ so they can make improvements to ‘get where they want to be’ and make more money.

The YahooSSP 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 Yahoo SSP.
• Identify performance patterns across a variety of parameters and time-frames 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.

Explore tab

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 populates upon initial access to MetaMarkets. Use the Nexage Auctions Dashboard to get more in-depth information on the supply available on the SSP. Dig into specific seller’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 granularity at the DMA level, traffic by device type, traffic that does or doesn’t have a 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, sellers, 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 an auction was lost. Was it due to a low price or bidding below the floor, or something else? Check out campaign performance across different apps and sites, sellers, ad sizes, etc. or compare performance across creative IDs. Then make adjustments to the bid or optimize targeting parameters towards better-performing supply.

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.

Time-series graphs

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.

Compare filter

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, select 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).

Exclude filter

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 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.

Dimension tables

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 table, select 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, save the view to your favorites, share it with a colleague, or download the time-series data.

Explore is Mission Control for Your Programmatic Data

We make it easy for everyone in your organization to become a data scientist through a simple, powerful interface.

• Proactive Alerts

  Be notified of the important things that need your attention. Want to be notified if impression delivery rate has dropped by 40% over the last hour? We got you covered.

• Interactive Filtering

  Narrow in on any part of your business instantly to identify new opportunities. Drill into a specific campaign’s bid success by device type, user age, and location within seconds.

• Comparison Metrics

  Visually compare key metrics to identify trends in your analytics over a specified time frame. Compare this week’s campaign spend with last week’s or last month’s.

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