Data-driven Online Marketing: A Critical Examination
Esteemed professional online advertising trade associations and trade media, let's make the topic of "data-driven marketing " the central point of discussion at DMEXCO.
In the world of online marketing, we often claim to operate "data-driven", especially when discussing targeting and tracking. Increasingly, tools are leaning into artificial intelligence. To serve personalized advertisements
Despite this emphasis on data-driven actions, why does our daily reality present the following challenges?
A review of advertising campaigns often indicates that the data-driven approach is sometimes missing the mark. We even abstain from data at crucial interfaces, especially with major providers. But such verification and subsequent optimization are essential for genuinely data-driven action. How can we claim to be data-driven if we're uncertain on which domains and apps our "data-driven" campaigns operate? Whether the ads were even displayed? The transparency we advocate is far from satisfactory.
领英推荐
A primary reason for these challenges is the asymmetric distribution of information. Major platforms aren't transparent and don't share all relevant data with advertisers and agencies. When this data is available, it's frequently not thoroughly analyzed or simply disregarded.
Furthermore, the so-called data-driven AdTech strategies
It's time our industry engages in an open discussion about our data-driven approach and what truly lies at the core of our field.
Tools like SSPs, DSPs, DMPs, cookies, identifiers, and Data Clean Rooms aren't ends in themselves; they serve the primary objective of our industry: effectively communicating advertising messages to people. Our emphasis on data should prioritize where we validate ROI and ensure advertisers aren't misled - as the examples above demonstrate on a grand scale. Let's use data to operate transparently and genuinely. Only then can we rightly call ourselves "Data Driven".
Dmexco, being one of the leading fairs for digital marketing, would be the perfect venue for this.
Machine Learning Researcher @ UC San Diego
1 年Sehr interessanter Beitrag! Die Diskussion über datengetriebenes Marketing ist in der Tat entscheidend, um sicherzustellen, dass wir nicht noch mehr Daten und Prozesse in undurchsichtige Black Boxes" verlieren. Welche konkreten Schritte schlagen Sie vor, um diese Themen anzugehen? Ich würde gerne weiter darüber sprechen und mich vernetzen!