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About Alon Amit

Alon has been working with huge datasets long before "big data" became a thing. He went from pioneering the use of data for bioinformatics and pharmaceutical development at Compugen, to leading Product Management at Google for the machine learning system powering Google's search ads. After Google, Alon moved on to Facebook as the lead Product Manager for the entire advertising backend, where he oversaw the launch of core products like Feed Ads and Optimized CPM.
19 03, 2019

AI Empowers Better Marketing – But It Can’t Replace the Expert Marketer

By | March 19th, 2019|Categories: Marketing Analytics, Marketing Measurement Best Practices|Tags: |

The entire plot of HBO’s Westworld. The crux of Will Smith’s 2004 box office hit I, Robot. The half-digital love story HER (that resonated with you way more than you’d like to admit). All three of these fictional tales found themselves centered around one core theme: the complex dynamic of the human condition as it relates [...]

30 06, 2017

The Rapid Emergence of Artificial Intelligence in Marketing Analytics

By | June 30th, 2017|Categories: Marketing Analytics, Marketing Measurement Best Practices|Tags: |

Everywhere you look, there seems to be an article these days about the use of artificial intelligence (AI) in marketing. MediaPost now does regular columns on the topic, and Gartner and AdAge have developed glossaries of artificial intelligence terms for marketers. So why all the fuss now since artificial intelligence and the notion of neural networks [...]

19 03, 2015

Marketing Hacks: How to Name and Categorize Data for Accurate Reporting That Scales

By | March 19th, 2015|Categories: Marketing Measurement Best Practices|Tags: , , |

One of the most overwhelming experiences a marketer can have is trying to make sense of unorganized mountains of performance data. The average marketer collects data from dozens of sources and channels across social media, search, adwords, web, display ads and many more. Not only is this data collected from multiple sources, these grouping of sources [...]

19 03, 2015

Marketing Hacks: How to Name and Categorize Data for Accurate Reporting That Scales

By | March 19th, 2015|Categories: Cross-Channel Measurement, Digital Marketing, Marketing Measurement Best Practices, Origami Logic Platform|Tags: , , , , , |

One of the most overwhelming experiences a marketer can have is trying to make sense of unorganized mountains of performance data. The average marketer collects data from dozens of sources and channels across social media, search, adwords, web, display ads and many more. Not only is this data collected from multiple sources, these grouping of sources [...]

4 03, 2015

Why Marketers Need to Link Ad Spend to Message Level Data

By | March 4th, 2015|Categories: Marketing Analytics|Tags: , , |

With the growing complexity of marketing campaigns, and increasing amount of different marketing channels, the accurate measurement of ad spend has become an almost impossible task. In the simpler days, a marketer could run a Facebook ad in minutes and be able to track the messaging, creative, target and spend amount from a basic dashboard. Fast [...]

11 03, 2013

Getting to the Answer

By | March 11th, 2013|Categories: Origami Opinions|Tags: |

Various ideas got thrown around during the weekly team meeting and Emily, the VP of Marketing, suggested doing some historical analysis to determine which option is likely to work best. Lucky for her, there’s a person in the analytics team (let’s call him Eric) who is actually happy to run the desired analysis. No prob. It’ll [...]