The Numbers Are In: Programmatic Video is on the Rise

Filed in Best Practices, Company, Industry, Product Update, Technology

As an industry standard for interactive analytics in programmatic marketing, Metamarkets sees more than 200 billion programmatic events pass through its platform daily from top exchanges and buyers across the adtech ecosystem. Until recently, mobile and display data held a dominant share of the events analyzed in Metamarkets dashboards. However, in a clear illustration of the growth of video content in programmatic media, that data is starting to shift more and more toward video events. Last month the Metamarkets platform hit an all-time apex for video events – in only 30 days, we processed and visualized nearly 560 billion monthly […]

The Numbers Are In: Programmatic Video is on the Rise
Read Post Comments

Unlocking Granular Audience Level Data With Explore

Filed in Best Practices, Company, Corporate, Data Visualization, Industry, Technology, Visualization

We recently released our Transparency Opportunity Report, which highlights how a lack of data transparency in the programmatic advertising market is inhibiting the growth of media buying. From that study, audience targeting data was identified as one of the most important factors contributing to the overall transparency dilemma within programmatic marketing. What does this mean? Buyers, sellers, and brands are having a hard time understanding exactly who their campaigns are reaching at the granular level. We have touched on many different ways Metamarkets Explore, our interactive analytics product, can help programmatic buyers and sellers do things like increase yield, discover […]

Unlocking Granular Audience Level Data With Explore
Read Post Comments

Managing a Large-scale Spark Cluster with Mesos

Filed in Best Practices, Druid, Technology

At Metamarkets, we ingest more than 100 billion events per day, which are processed both realtime and batch. We store received events to our Kafka cluster and the stored events in Kafka are processed by both Samza and Spark for real-time stream processing and batch processing, respectively. We have clients who send us data in batch only, but batch processing is done for clients who send us data in real-time in order to fix up any incorrectness in produced data, including deduplicating and joining events that were outside of the real-time join window. Batch processing is a two-step operation where […]

Managing a Large-scale Spark Cluster with Mesos
Read Post Comments

Monitoring Key Changes In Revenue with Alerts

Filed in Best Practices, Company, Technology

A few weeks ago we introduced some pretty big updates to our alerting feature within Metamarkets Explore. With the rise in adoption, we have noticed some specific trends within the types of alerts being created from thousands of different users. Although there are certainly hundreds of ways you can use alerts, it is clear that alerts based on revenue and volume metrics are a standout across the board, and should be a recommended best practice. Types of Revenue Based Alerts Premium Publisher Volume Your premium publishers are what keep the bids coming in on a regular basis. By setting an […]

Monitoring Key Changes In Revenue with Alerts
Read Post Comments

Save Time With Bookmarks

Filed in Best Practices, Company, Data Visualization, Technology, Visualization

Do you have common data sets you evaluate within Metamarkets Explore on a daily, weekly or monthly basis? Are there certain accounts you keep a closer eye on than others? Do you find yourself asking the same questions about your data over and over again?  If so, bookmarks are a perfect tool to save you time when using Explore. A bookmark is a saved view of specific dimensions, metrics, and filters you have previously applied to your data that allow you to quickly revisit queries you have made in the past. How It Works Let’s say every morning you log into […]

Save Time With Bookmarks
Read Post Comments