Price optimization
Posted: Tue Apr 22, 2025 7:03 am
ForecastingPredicting behavior
Purchase intent and tracking it over time
Buyer behavior
Although AI automates and can significantly speed up some processes, the core qualitative aspects of research, such as answering the question “why,” are still largely the responsibility of humans. The implementation of artificial intelligence and machine learning is not always justified. AI certainly influences marketing research, but it does not replace it, but rather complements it.
So many bathhouses, so few analysts
Artificial intelligence, the Internet of Things, and social media poland cell phone number list are just a few areas where we are generating a huge amount of useful data for marketing. The speed of data accumulation is increasing. More and more tasks arise in its processing and analysis. Today we have a lot of data and so many opportunities to use this data not only for business and marketing decisions, but also for the general benefit of people.
The global problem is that the growth of the number of analysts, data engineers, data-scintists and others does not keep pace with the growth of data volumes and the growth of tasks that businesses face in this area. This factor is one of the reasons for the slow implementation of many advanced analytical methods in marketing research.
Purchase intent and tracking it over time
Buyer behavior
Although AI automates and can significantly speed up some processes, the core qualitative aspects of research, such as answering the question “why,” are still largely the responsibility of humans. The implementation of artificial intelligence and machine learning is not always justified. AI certainly influences marketing research, but it does not replace it, but rather complements it.
So many bathhouses, so few analysts
Artificial intelligence, the Internet of Things, and social media poland cell phone number list are just a few areas where we are generating a huge amount of useful data for marketing. The speed of data accumulation is increasing. More and more tasks arise in its processing and analysis. Today we have a lot of data and so many opportunities to use this data not only for business and marketing decisions, but also for the general benefit of people.
The global problem is that the growth of the number of analysts, data engineers, data-scintists and others does not keep pace with the growth of data volumes and the growth of tasks that businesses face in this area. This factor is one of the reasons for the slow implementation of many advanced analytical methods in marketing research.