MediaRadar’s Live Streaming Sports measurement covers ads served in exclusive live streaming sporting events for NFL, NBA, MLB, MLS, Nascar, and NCAA Football.

Pre- and Post-game shows are also included when available.

MediaRadar has seven platforms in its historical data library:

MediaRadar regularly reviews coverage and will add relevant platforms as feasible.

MediaRadar leverages a proprietary event-capture technology to track live events across diverse streaming environments.

Every captured live event is then processed through MediaRadar’s proprietary DeepListen technology.

Each ad is classified through our brand identity framework, attributing creatives & linking spend to our MediaRadar Central brand/category taxonomy.
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MediaRadar identifies commercial positions as pre, post, or core game. Pregame and postgame positions are limited to studio show programming.

Content featuring the game announcers (either immediately prior to the start of the game or following the end of the game) is considered part of core game coverage.

Daypart is determined by the start time of the live sporting event telecast.

Live Streaming Sports are treated as premium programming, using a direct buy approach.

Rates are informed by linear programming of similar content, data available in the public domain, and third party aggregators.

In cases where there is no rate information available in the public domain and for third-party aggregators, we leverage linear price points as an input to our spend estimation model.

Separate rates are defined for preseason, regular season, and postseason, with further specificity for different rounds of the postseason, as necessary.

Spend estimates are calculated for each occurrence using a weighted cost-per-unit, based on the following variables:

All occurrences with the same program telecast have the same base unit cost.

The calculated unit cost is based on an ad length of 30 seconds.

For commercials longer or shorter than 30 seconds, a conversion factor is then applied to arrive at the reported dollar value for the occurrence. The factors used are:

Each collected ad is matched against a master library of previously detected video ads.

If a match is found and confirmed as advertising material, a record is entered into the occurrence file indicating the platform and date of collection, and the associated details housed in the video library (e.g., product name, brand, advertiser and category).

If a match is not found in the master library, the ad is sent to an editor for manual review.
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Once identified as either a valid ad or a non-ad, the signature is sent to the master library forpermanent storage and future use in the matching process.

For a new ad, the editor classifies it into our proprietary central database of advertised products.

A record is entered into the occurrence file indicating the platform and date of collection, and the associated details housed in the video library (e.g., product name, brand, advertiser, category).

To access our full 360 Methodology, log in to the 360 platform and click on the Help Icon located at the bottom-right corner of the application.