This document discusses digital advertising and machine learning. It mentions behavioral data, real-time bidding, cross-device targeting, A/B testing, and hyperlocal segmentation. It also discusses how machine learning algorithms and predictive algorithms are powering real-time bidding that can occur in under 100ms for 17 million Dutch users and 600 million global users, powered by 1000 "rocket scientists". It concludes that algorithmic marketing combined with large amounts of data is now more powerful than a marketer's intuition alone.

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TECHNIEK IS MIJN PASSIE
MY DIGITAL VIEW

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DIGITAL ADVERTISING
MACHINE LEARNING
BEHAVIORAL DATA REAL TIME BIDDING
CROSS DEVICE
A/B TESTINGHYPERLOCAL

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REAL TIME BIDDING
NET ALS IN AALSMEER..

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SEGMENTATIE

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6x < 100ms
17mln NLD
6mld GLOBAL

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1000 ROCKET SCIENTISTS

8. MACHINE LEARNING ALGORITHMS

9. PREDICTIVE ALGORITHMS

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MAAR WAT KAN JIJ ERMEE?
LEUK ALLEMAAL….

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ALGORITHMIC MARKETING I.C.M. VEEL DATA IS NU AL
KRACHTIGER DAN DE INTUÏTIE VAN DE MARKETEER
MY DIGITAL VIEW