Your new website!r, even though my first love is writing. You can find me in Milan, looking for insights into psychology, communication and marketing, taking some specific courses or hiding behind a stack of books. And Machine Learning: Some Thoughts on Silvia Pagano's Google Ads. Machine Learning Online Advertising No Comments We continue with our in-depth analysis, are media buyers. Do you want to know the premise? You can find the first part of this article at this link. On the same day it announced the restructuring of its platform.
Google released a video introducing a new type Latest Mailing Database of marketing campaign: first in the US and then slowly in other parts of the world. The basic assumption of the company is that small businesses: they don't have time to develop effective campaigns themselves; they only have one goal: make purchases (if they have an online store), answer calls, increase visits to the store. It's going in this direction: the user chooses his goal among the three proposals (store visit, phone call, purchase), selects the relevant geographical area, sets a budget and uploads some ideas. At this point, machine learning takes over, selecting the right audience, the most effective distribution method, and the most balanced offer.
One gets the impression that machine learning is the direction Google is taking for its ad solutions. We've learned to appreciate Smart Bidding, which avoids the risky manual CPCs of improvising based on personal impressions, leaving the onus to machine learning to deliver based on our goals, whether it's maximizing clicks or desired ROI. As the new experience emerges, the platform has begun suggesting variations of ads that, according to Google, are more capable of rendering than human-written ads, and those variations are automatically activated days later.