rtb

Nicolas Kruchten's picture

Real-Time bidding optimization: a behind-the-scenes look at Datacratic's predictive API

Recently I presented Real-Time bidding optimization: a behind-the-scenes look at Datacratic's predictive API at PAPI's. PAPI's.io is the premier International Conference on Predictive APIs and Apps that showcases new machine learning APIs, techniques, architectures, and tools to build predictive applications. 

Nicolas Kruchten's picture

Peeking Into the Black Box, Part 3: Beyond Surplus

In this post, I show that in order to maximize the economic surplus over a whole campaign, the quantity you should look at on an auction-by-auction basis to decide when to bid is actually the expected return on investment (ROI) rather than the expected surplus. At Datacratic, we actually switched to an ROI-based strategy about a year ago but I didn’t get a chance to follow up with a blog post until now.

François Maillet's picture

The Too Good To Be True Filter

At Datacratic, one of the product we offer our customers is our real-time bidding (RTB) optimisation that can plug directly into any RTBKit installation. We’re always hard at work to improve our optimisation capabilities so clients can identify valuable impressions for their advertisers. Every bid request is priced independently and real-time feedback is given to the machine learning models. They adjust immediately to changing conditions and learn about data they had not been exposed to during their initial training.

Nicolas Kruchten's picture

Peeking Into the Black Box, Part 1: Datacratic’s RTB Algorithms

At Datacratic, we develop real-time bidding algorithms. In order to accomplish advertiser goals, our algorithms automatically take advantage of other bidders’ sub-optimal behaviour, as well as navigate around publisher price floors. These are bold claims, and we want our partners to understand how our technology works and be comfortable with it.

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