Forecasting (Inventory Availability)

You can get an estimate of how much inventory is available to sell with the Forecasting reports, also known as inventory availability or avails reports. Use these reports to manage your inventory and get a sense of potential revenue.

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In Forecasting > Inventory Availability, you can get forecasts of inventory availability with these reports:

TAP Impressions: Impression inventory forecasts for owners.
TAP Spots: Spot inventory forecasts for owners.
TAP Reach Extension: Inventory forecasts for resellers.

How Forecasting Works

Forecasting in TAP involves a dynamic set of processes with many variables. Its algorithm is based in part on estimates, such as the estimated number of breaks in the forecasting period and the depth of those breaks. It is normal to see small fluctuations in reported avails, even when you run the same query twice.

After creating or modifying flights, wait one minute before running a forecasting report
Triton caches responses to your forecasting queries for one minute. In cases where you submit the exact same query in less than a minute, Triton returns the same result. Triton will only consider new and modified flights when the cache expires.

Forecasting for Impressions and Spots

The Inventory Availability reports for TAP Impressions and TAP Spots show forecasted inventory for your flights, as well as contending flights that could be affected if the flight is booked.

For the contending flights, Triton looks at everything booked within the specified date range and estimates the contending impressions for each flight considering all their targeting parameters. Triton then deducts the sum of the contending impressions by the total to get what is estimated to be available for your query.

Forecasting for Reach Extension

A reseller can see the inventory that a Triton inventory owner has made available through Reach Extension with the TAP Reach Extension report in Inventory Availability.

This report provides an accurate and relevant forecast for resellers by calculating the intersection of the following:

Reseller targeting that you specify in Inventory Availability > TAP Reach Extension
Inventory owner’s flight targeting and priority rules

Other details about this report:

Data for this report is only available to TAP users who may access TAP organizations with Reach Extension enabled.
It does not show contending flights, ad quality rules, or exclusivity rules.
It is not a missed opportunities report.
Inventory is filtered by inventory owner, not by contract.
It only shows total accessible inventory, without available, remaining, or accessible inventory breakdowns.
It does not split inventory by station or sub‑publisher.
The Contextual Tag filter is not available for this report. Instead, a reseller can ask the inventory owner to apply contextual targeting on the flight to delegate the inventory to a contract.

Historical Data for Forecasting

The forecasting algorithm looks at the most recent historical activity across your network, stations, or podcasts. It looks at all impressions delivered, regular, filler and programmatic, as well as missed opportunities.

You can get the best forecasts when you have at least 4 consecutive weeks of historical data. Historical data starts on the date of the first ad request from your network, station, or podcast. If you have less than 4 weeks of activity, you should choose the number of available full weeks in Forecast Look Back Period. This informs the forecasting algorithm for better forecasts. The default is 4 Weeks.

When specifying Forecast Look Back Period, you should consider the number of full weeks of activity that you have available plus Triton’s processing time for this data. For details, see Forecasting Processing and Timing.

Example: Your podcast has been active for 14 days, which is 2 full weeks. However it takes about a day for Triton to process this data, so you only have 1 full week of usable historical data. In Forecast Look Back Period you would choose 1 Week.

If you have recently added targeting for audience segment, contextual tags, station tags, or ttags, then choose the number of full weeks that they have been active. Example: If you started using contextual tags 10 days ago, then you would choose 1 Week in Forecast Look Back Period.

Likewise, if you have recently removed an audience segment, contextual tag, station tag, or ttag, then you can choose to ignore activity related to it. For example, if you stopped using a ttag 23 days ago, you can choose 3 Weeks in Forecast Look Pack Period so that forecasting algorithm does not include the ttag.

Compare your new station or podcast with something similar
An alternative way to forecast availability is to compare your new station or podcast with a similar station or podcast that has at least 4 weeks of activity. For details, see Forecasting on New Stations and Podcasts.

Create a Forecast Report