Matt Chalawsky

recently focused on client-server, RESTful architectures. He has developed web and mobile app frontends, both IOS (Swift and Objective-C) and Android, mostly with no-sql backends.

Mr Chalawsky also has strong product management experience with an emphasis on analytics and data-driven analysis.

Mr Chalawsky has solid foundation in Agile development and lean development processes, working most recently on ultra-lean bootstrap environments. He has worked on several MVP products to validate the core hypotheses of the business, and successfully gathered key data points in an expedited fashion.

https://www.quora.com/profile/Matt-Chalawsky

https://twitter.com/mattchalawsky

http://www.mattchalawsky.com

https://about.me/mchalawsky

Mr Chalawsky is the inventor on several patents and has developed a good understanding in identifying patentable ideas. The most notable of Mr. Chalawsky's patents is for YouTube's Ad Skip feature (https://www.google.com/patents/US9324094). Like most patents, the idea itself is not necessarily considered non-obvious and novel ( a requirement for being a patent), but the implementation of the idea. The Ad Skip Patent novelty was in how it creates a win-win situation with advertisers and viewers, the key challenge with an Ad Skip Feature. Previous attempts at an Ad Skip Feature failed because advertisers didn't see the value in paying for ads that could be skipped. Mr. Chalawsky's innovation was to treat the ad skip event as an anti-click, thus allowing the advertiser to only pay when the viewer didn't skip. This effectively made Ad Skipping the same as a Cost Per Click (CPC) advertising model, something Google was already very good at with Adsense.

https://twitter.com/mattchalawsky https://www.mattchalawsky.com/

http://patents.justia.com/inventor/matt-chalawsky

Matt Chalawsky's Patent US8468056 Ad skip feature for characterizing advertisement effectiveness US 8468056 B1

US8468056 - Google Patents - https://www.google.com/patents/US8468056

AbstractMethods, systems, and apparatus, including computer programs encoded on a computer storage medium, for characterizing effectiveness of online advertisements inserted into media streams based at least in part on monitoring events indicative of an audience skipping ad streams inserted into the media streams. The methods and systems described in this specification enable tracking the number of impressions prior to detecting events indicative of interest or disinterest for ad streams inserted into a media stream.

Matt Chalawsky's Patent US8706550 External-signal influence on content item performance

US 8706550 - Google Patents- https://www.google.com/patents/US8706550

AbstractExternal-signal influence on content item performance is determined. Content item performance data is received that reflects historic performance of a content item for multiple presentations of the content item. Signal data is received that corresponds to at least one signal that is temporally correlated with the content item performance data and that is external to each user, publisher and content provider involved in any of the presentations. Using the content item performance data and the signal data, an influence value for the signal with regard to the content item is determined. A content item prediction model is modified based on the influence value.

Matt Chalawsky's Patent US8583484 Frequency optimization of advertisement insertion in media streams

US 8583484 - Google Patents - https://www.google.com/patents/US8583484

AbstractMethods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for frequency optimization of advertisement streams. The methods and systems described in this specification may enable determination of an optimal presentation frequency of an ad stream, or a number of times the ad stream is to be broadcast and/or rebroadcast, prior to the audience becoming interested in the ad, or acting on the ad to generate a conversion event.